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1977<br />

Editors: H. SHEAR - A. f, I! WATSON


The statements and views presented in these proceedings are<br />

those of the authors and of the workshop participants, and do not<br />

necessarily represent the views or policies of the <strong>International</strong> <strong>Joint</strong><br />

<strong>Commission</strong>, Research Advisory Board and Pollution from Land Use<br />

Activities Reference Group. Mention of trade names or commercial<br />

products does not constitute endorsement or recommendation for use.<br />

ii


1.<br />

2.<br />

3.<br />

k E S OF SEDIMUsr<br />

Natural Sheet and Channel Erosion of Unconsolidated Source<br />

Material (Geomorphic Control, Magnitude and Frequency of<br />

Transfer Mechanisms)<br />

D. E. Walling<br />

University of Exeter<br />

UNITED KINGDOH<br />

Influence of Land Use on Erosion and Transfer Process of<br />

Sediment<br />

T. Dickinson and G. Wall<br />

University of Guelph<br />

GUELPH. Ontario<br />

Anthropogenic Influences of Sediment Quality at a Source<br />

a) Pesticides and PCB's<br />

R. Miles<br />

Agriculture Canada<br />

LONM)N, Ontatio<br />

b) Nutrients: Carbon, Nitrogen and Phosphorus<br />

c) Metals<br />

M. Miller<br />

University of Guelph<br />

GUELPH, Ontario<br />

G. K. Rutherford<br />

Queen's University<br />

KINGSTON, Ontario<br />

R. Frank<br />

Ontario Ministry of<br />

Agriculture 6 Food<br />

GUELPH, Ontario<br />

PAGE<br />

1<br />

5<br />

11<br />

37<br />

69<br />

81<br />

95


4. Regional Overview of the Impact of Land Use on Water Quality 105<br />

CHAPTER 2<br />

TRANSFURT OF SEDIMENT<br />

A. D. McElroy<br />

Mdwest Research Institute<br />

KANSAS CITY, Mo.<br />

1. Influence of Flow Characteristics on Sediment Transport<br />

with Emphasis on Grain Size and Mineralogy<br />

J. Culbertson<br />

U.S. Geological Survey<br />

RESTON, Va.<br />

2. Sediment Storage and Remobilization Characteristics of<br />

Watersheds<br />

J. Knox<br />

University of Wisconsin<br />

MADISON, Wisconstn<br />

C. Nordin<br />

U.S. Geological Survey<br />

LAKEWOOD. Colorado<br />

3. Forms and Sediment Associations of Nutrients (C.N. and P.)<br />

Pesticides and Metals<br />

a) Nutrients - P 157<br />

H. L. Golterman<br />

Limnologisch Instituut<br />

NETHERLANDS<br />

b) Nutrients - N 181<br />

c) Pesticides<br />

T. Logan<br />

Ohio State University<br />

COLUMBUS. Ohio<br />

H. B. Pionke<br />

U.S. Department of Agriculture<br />

Agricultural Research Service<br />

UNIVERSITY PARK, Pennsylvania<br />

iv<br />

117<br />

137<br />

151<br />

T. Cahill<br />

Resource Management Associates<br />

WEST CHESTER, Pennsylvania<br />

199


d) Trace Metals<br />

Ulrich F6rstner<br />

University of Heidelberg<br />

4. Geochemistry of Sediment/Water Interactions of Nutrients,<br />

Pesticides and Metals, Including Observations on Availability<br />

a) Nutrients<br />

b) Pesticides<br />

c) Metals<br />

D. R. Bouldin<br />

Cornel1 University<br />

ITHACA, New York<br />

IWLICATIONS<br />

FOR TI-E GREAT LAKES<br />

1. Physical Processes<br />

2. Nutrients<br />

J. B. Weber<br />

North Carolina State University<br />

RALEIGH, North Carolina<br />

I. Jonasson<br />

Energy Mines and Resources<br />

OTTAWA, Ontario<br />

J. R. Vallentyne<br />

Environment Canada<br />

OTTAWA, Ontario<br />

G. H. DUKY<br />

University of Wisconsin<br />

MADISON, Wisconsin<br />

V<br />

PAGE<br />

219<br />

235<br />

245<br />

255<br />

275<br />

279<br />

285<br />

291


3. Pesticides<br />

4. Metals<br />

GwrER 5<br />

~KSHOP ORGANIZERS AND AITNDEES<br />

vi<br />

PAGE<br />

293<br />

295<br />

299


In April 1972 the United States and Canada signed the Great Lakes<br />

Water Quality Agreement. The responsibility for the implementation of this<br />

Agreement was assigned to the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong>. The <strong>International</strong><br />

<strong>Joint</strong> <strong>Commission</strong> was established pursuant to the Boundary Waters Treaty of<br />

1909. Its operating concept assumes that solutions to boundary waters problems<br />

should be sought by joint deliberations of a permanent tribunal of three<br />

Canadians and three Americans.<br />

Under the terms of the Agreement a Research Advisory Board was<br />

established to advise the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong> on a continuing<br />

basis on matters relating to ongoing research and research needs related to<br />

Great Lakes Water Quality. Another group, with a defined lifespan of five<br />

years was also established - the <strong>International</strong> Reference Group on Great<br />

Lakes Pollution from Land Use Activities (PLUARG). The PLUARG was charged<br />

with answering the following questions:<br />

(1) Are the boundary waters of the Great Lakes System<br />

being polluted by land drainage (including ground and<br />

surface runoff and sediments) from agriculture, forestry,<br />

urban and industrial land development, recreational and<br />

park land development, utility and transportation systems<br />

and natural sources?<br />

(2) If the answer to the foregoing question is in the<br />

affirmative, to what extent, by what causes, and in what<br />

localities is the pollution taking place?<br />

(3) If the <strong>Commission</strong> should find that pollution of the<br />

character just referred to is taking place, what remedial<br />

measures would, in its judgement, be most practicable and<br />

what would be the probable cost thereof?<br />

The <strong>Commission</strong> is requested to consider the adequacy of existing<br />

programs and control measures, and the need for improvements thereto,<br />

relating to:<br />

(a) inputs of nutrients, pest control products, sediments,<br />

and other pollutants from the sources referred to above;<br />

(b) land use;<br />

(c) land fills, land dumping, and deep well disposal practices;<br />

1


(d) confined livestock feeding operations and other animal<br />

husbandry operations; and<br />

(e) pollution from other agricultural, forestry and land<br />

use sources.<br />

In carrying out its study the <strong>Commission</strong> should identify deficiencies<br />

in technology and recommend actions for their correction.<br />

The PLUARG, in its Study Plan of 1974 established a series of pilot<br />

watershed studies and other special land use studies in the United States<br />

and Canada to assess the impact of land on water use quality as related to<br />

river loadings to the Great Lakes. It was recognized that a variety of<br />

nutrients and contaminants are transported both by mineral and organic<br />

sediment. A better understanding of sediment-associated nutrient and<br />

contaminant transport in streams in time and space was needed to assess<br />

their impact on the Great Lakes.<br />

The PLUARG therefore referred this matter to the Research Advisory<br />

Board as the IJC's principal advisor on Great Lakes research. An evaluation<br />

was requested of the state-of-the-art of this topic together with recommendations<br />

for further research. The Board in turn decided to sponsor this workshop to<br />

synthesize current research and to identify research needs on nutrient and<br />

contaminant transport by sediment within fluvial systems. Clarification was<br />

sought on the interrelationships of source, in-channel storage, resuspension<br />

and transport mechanisms with long-term, seasonal and single-event flows,<br />

and including an examination of the interaction of sediment and water chemistry<br />

on key nutrients and contaminants.<br />

The Research Advisory Board anticipated positive recommendations<br />

from this workshop not only in terms of research needed, but of how the<br />

research that has been done can be put to use to solve Great Lakes water<br />

quality problems. These recommendations moreover, would be sufficiently<br />

succinct for clear-cut decisions by the <strong>Commission</strong> to advise appropriate<br />

Governmental action.<br />

It is intended that the recommendations in these proceedings will<br />

have an immediate effect on PLUARG studies and a longer term influence on<br />

the Great Lakes research community.<br />

2<br />

Dr. Harvey Shear<br />

Dr. Andrew E. P. Watson<br />

<strong>International</strong> <strong>Joint</strong> Commissio<br />

Great Lakes Regional Office<br />

100 Ouellette Avenue<br />

WINDSOR, Ontario


For the City of Kitchener:<br />

Mrs. Edith MacIntosh<br />

Mayor of Kitchener<br />

Good Morning. It is my pleasure to welcome you here today. I<br />

bring greetings on behalf of Kitchener to all of you who are involved,<br />

interested and concerned in this workshop on pollution from land use activities.<br />

I was looking over your program and I note that your purpose, and<br />

I am quoting, "is to synthesize current research and to identify research<br />

needs on nutrient and contaminant transport by sediment within fluvial<br />

systems". Further, you will be "clarifying the interrelationships of source,<br />

in-channel storage, resuspension and transport mechanisms with long term,<br />

seasonal and single-event flows, including an examination of the interaction<br />

of sediment and water chemistry on key nutrients and contaminants". I looked<br />

at that and I wondered what it all meant. Well, to me it meant, that,<br />

for instance, ten years ago at our cottage on the Bruce Penninsula, I could<br />

walk down to the shoreline, dip a pail into the and water take a drink.<br />

Today I can't do that. My hope is that with your expertise it will be<br />

possible in the not too distant future to drink Georgian Bay water again.<br />

I brought with me our latest report on the bacterial examination<br />

of drinking water and as I mentioned, ten years ago we could drink the water.<br />

Whenever we had it tested it came back A number 1. Today, it has a very<br />

high coliform bacteria count. It is rather disturbing.<br />

During my term as National President of the Consumer's Association<br />

of Canada, the soap bubble conditions in the Great Lakes was area a major<br />

issue. Canadian consumers fought for the ban on phosphorus in detergents in<br />

cooperation with the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong>. I have been told that<br />

this is still a problem. I understand that the Grand River watershed is<br />

one of the three major Canadian watersheds selected for intensive study<br />

under the PLUARG program. You, as invited experts, will be seeing first<br />

hand I hope, the work being done in the Grand. You may be wondering why I<br />

was carting around these two huge volumes. Here are 700 pages of the very<br />

latest information just tabled this week on what is being done in the Grand<br />

River Basin.<br />

Mr. Chairman, delegates, I would like to issue a very warm welcome<br />

to all of you. I know you have come from different countries and from<br />

across the province and from other provinces. I hope you have a very successful<br />

workshop here and we are glad you chose Kitchener. Again, welcome to<br />

everyone.<br />

5


For PLUARG<br />

Dr. R. L. Thorns<br />

Director<br />

Great Lakes Biolimnology Laboratory<br />

Department of Fisheries and the Environment<br />

Fisheries and Marine Service<br />

Canada Centre for Inland Waters<br />

Bur Zington, Ontario<br />

Thank you very much MKS. MacIntosh. A number of us present at<br />

this meeting, have recently returned from a symposium in Amsterdam on the<br />

interaction of sediment and fresh water. The organizer was Dr. Golterman<br />

who is going to talk to us later in this workshop on nutrients. The symposium<br />

was a significant event in limnological studies because it emphasized<br />

the fact that the role of sediments in the lacustrine environment is now<br />

starting to come to the fore. It is very gratifying to me personally<br />

and to many of us engaged on sediment studies at the Canada Centre for<br />

Inland Waters. The role and the significance of sediments is thus becoming<br />

very apparent, particularly with regard to toxic trace metals and persistent<br />

organic contaminants that are becoming all too apparent in our environment.<br />

The PLUARG which is charged with an assessment of the impact on<br />

the boundary waters of the Great Lakes of pollutants from diffuse sources,<br />

designed its programs to incorporate a significant number of sediment<br />

oriented studies. These studies are now in progress. Close to two years<br />

ago we decided to hold this workshop in order to bring together many of<br />

the internationally known experts in the field of fluvial sediment. We<br />

wanted to assure ourselves that the work we were doing was correct. We<br />

wanted an opportunity to discuss OUT problems; to assist in the interpretation<br />

of our data, and, if the experts have come up with new knowledge or techniques<br />

we want to know, so that we may, even at this stage, make modifications<br />

to OUK programs. Consequently, I feel that this is a highly significant<br />

workshop; to the reference group, to the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

and to us participants and wish it every success in achieving its objectives.<br />

6


For the Research Advisory Board<br />

Dr. A. R. LeFeuvre<br />

Director<br />

Canada Centre for Inland Waters<br />

BurZington, ktario<br />

I am very happy to be with you this morning at the beginning of<br />

this important workshop. As the Canadian chairman of the Research Advisory<br />

Board, I am very happy that we are able to lend our support and sponsorship<br />

to this workshop.<br />

I think that it is very timely, as Dr. Thomas has pointed out.<br />

The topic of the workshop is very important to our understanding of the<br />

several mechanisms that are at work in bringing pollutants and nutrients<br />

from the diffuse sources on the watershed into the river systems and then<br />

eventually into the boundary waters of the Great Lakes. This, of course,<br />

is why it is a reference under the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong> and<br />

provided for under the Canada-U.S. Water Quality Agreement. The Research<br />

Advisory Board, as you may know, is that part of the structure established<br />

under the Canada-U.S. Water Quality Agreement which has the responsibility<br />

for advising the Governments through the <strong>Commission</strong> on the needed research,<br />

and those research areas which could profitably be accomplished by joint<br />

effort, and provide this advice to the Governments in the of form annual<br />

reports and special reports.<br />

At our most recent reporting experience which was July, last<br />

the Research Advisory Board tabled a report on Research Needs. This was<br />

the compilation of identified research needs with priorities that identified<br />

for the Governments and their agencies those areas that required additional<br />

research effort and those areas which were of priority interest. All the<br />

workshops that are sponsored by the Research Advisory Board have of as one<br />

their objectives the identification of research needs. We hope that<br />

in your deliberations over the next several days you will be able to delineate<br />

and identify more precisely some of the continuing research needs<br />

in this important area. I think that we all realize that while we have<br />

learned a considerable amount about the processes involved, a great deal<br />

is still to be learned in this important area. We certainly encourage you<br />

to give conscious thought to the need for additional research as well as<br />

to the results of research that has already been undertaken.<br />

Please be conscious of the advice, guidance and recommendations<br />

that can come to the final report of PLUARG because of your deliberation<br />

here. You have a two fold task: one is to assist PLUARG in developing<br />

its recommendations with regard to pollution coming from land use activities.


It is important that you keep this in mind a as very positive and immediate<br />

output from your deliberations. The other point to consider is the identification<br />

of research needs that still exist and that may be addressed both<br />

through government research agencies and through university research.<br />

We are certainly very pleased to bring these words to you this<br />

morning and hope that in your deliberations you will have a very successful<br />

workshop in this important area, and we wish you the best of luck in your<br />

deliberations this morning and the days to follow.


BHiJFVEKl Q<br />

SOURCES OF SEDIMENT


INTRODUCTION<br />

Natural Sheet and Channel Erosion of Unconsolidated Source<br />

Material (Geomorophic Control, Magnitude and Frequency of<br />

Transfer Mechanisms)<br />

D. E. Walting<br />

This brief discussion of erosion processes and origins, the<br />

sources and delivery characteristics of sediment within the fluvial system<br />

aims to provide an introductory background some to of the questions associated<br />

with a discussion of sediment-associated contaminants and nutrients.<br />

It is concerned essentially with suspended sediment and more particularly<br />

the wash load portion of total sediment load, because fine grained sediment<br />

is in general the most chemically active. Consideration of the topic can<br />

be usefully structured under four headings: first, the general geomorphological<br />

context; secondly, the process mechanisms involved; thirdly, the<br />

integration of these processes into the watershed and the spatial characteristics<br />

of catchment response, and lastly, the resultant in terms of the<br />

temporal pattern of sediment delivery from a watershed.<br />

THE GENERAL GEWCRPKILOGICAL CONTEXT<br />

The magnitude of sediment flux within the fluvial system must<br />

reflect the general intensity of the denudation processes and in this<br />

respect it is useful to briefly consider the global pattern. Over the past<br />

twenty or more years, and particularly as a result of the impetus provided<br />

by the <strong>International</strong> Hydrological Decade (1965-74), measurements of the<br />

sediment yield of rivers in many parts of the world have become available.'<br />

Analysis of this information can provide an insight into the range of<br />

values exhibited at the world level and some indication of dominant controlling<br />

factors. The classic work by Langbein and Schumm,3 based on<br />

rivers in the United States, suggests that a global-scale relationship<br />

be established between annual precipitation and sediment yield and that the<br />

can<br />

form of the relationship can be accounted for in terms of the opposing<br />

influences of vegetation cover and precipitation energy (Figure 1). Maximum<br />

yields correspond to an optimum combination of these influences at a mean<br />

annual precipitation of 300 nun. A similar pattern was found by Douglas4 in<br />

an evaluation of the relationship between sediment yield and annual runoff<br />

at the global level, although the inclusion of information from tropical<br />

areas demonstrated a tendency for yields to increase again in areas of high<br />

runoff (Figure 1). These curves are inevitably very generalised as they<br />

take little or no account relief, of the environmental energy and other<br />

physiographic factors. Attempts have also been made to define the controls<br />

according to major vegetation types' and to develop multivariate equations.6<br />

In so far as it is possible to apply these general curves, we<br />

might expect sediment yields in the Great Lakes region to be relatively low<br />

and to amount to approximately 100 tonnesfkm'. This conforms to a<br />

11


Y<br />

L<br />

N' 800- A<br />

F<br />

-rc<br />

3<br />

-<br />

600-<br />

9 - / \<br />

Q<br />

I \<br />

~400- / \ \<br />

Y<br />

L<br />

ry'<br />

F<br />

* 1<strong>50</strong>-<br />

L<br />

9 -<br />

100-<br />

-<br />

c<br />

E<br />

i! <strong>50</strong>-<br />

$ -<br />

0 <strong>50</strong>0 lo00 1<strong>50</strong>0 2000<br />

Effective Precipitation (mm)<br />

B<br />

@ 01 I<br />

I r 1 I<br />

0 Mean Annual 400 Runoff 800 (mm) 12<br />

Figure 1.<br />

General global relationships between sediment yield and annual<br />

precipitation and runoff proposed by Langbein and Schum (1958)<br />

and Douglas (1967).<br />

12


ecent Canadian survey7 which suggests that levels of 20-100 tonnes/km2 are<br />

characteristic of this area. The same survey provides an average value of<br />

mean suspended sediment concentration of <strong>50</strong>-200 mg/l. (Figure 2). A U.S.<br />

Geological Survey compilation’ depicts the area of the United States tributary<br />

to the Great Lakes as exhibiting mean concentrations of less than<br />

300 mg/l (Figure 2) which, for an annual runoff of 300 mm corresponds to<br />

sediment yields of less than 90 tonnes/km2. In the geomorphological context,<br />

it can be inferred that the area under discussion is characterized by somewhat<br />

subdued erosion processes. Furthermore, it should be stressed that in<br />

such an area it will not always be immediately obvious precisely what<br />

processes are involved, and where the dominant sources of sediment are<br />

located. Generalized figure; on stream loads inevitably conceal considerable<br />

variations in sediment yield in both space and time and in order to<br />

appreciate these more fully, the processes involved must be discussed.<br />

EROSION F’ROCESSES<br />

In considering the processes involved in sediment detachment and<br />

entrainment, a useful distinction can be made between two major sediment<br />

sources, namely, the land surface and the channel system. The first<br />

reflects the action of rainsplash and surface runoff, often termed sheet<br />

erosion, and includes the development of rills where surface flow becomes<br />

concentrated. The second reflects the erosive power of concentrated channel<br />

flow and includes streambank scour, streambed degradation, and floodplain<br />

scour. Gully erosion is to some extent a link between the two in that it<br />

could be viewed as a development of sheet and rill erosion or a headward<br />

extension of channel erosion.<br />

Much work on sheet erosion has been carried out by agricultural<br />

engineers concerned with soil erosion and the influence of various cultivation<br />

practices and conservation measures, and the erosion plot and<br />

laboratory sprinkler have become well-used research tools. A distinction<br />

can usefully be made between the four major contributing processes, namely,<br />

splash detachment, splash transport, runoff detachment and runoff transport.<br />

Many empirical and theoretical relationshi s have been developed for<br />

total soil loss’ and for the component processes,Po based on rainfall and<br />

flow properties, topography and soil character (Tables 1 and 2). Soil<br />

erodibility has been related to various physical and chemical properties”<br />

and factors such as the particle size characteristics, structure, permeability,<br />

organic matter content, dispersion and cation exchange capacity<br />

must be taken into account.<br />

The Universal Soil Loss Equation” (U.S.L.E.) developed by the<br />

United States Department of Agriculture from over 10,000 plot years of<br />

records has been widely applied in many environments and its form provides<br />

a summary of the major controls on sheet erosion (Table 1). However, it<br />

should be recognized that the equation was developed from data collected<br />

from small plots and soil loss from a plot cannot necessarily be equated<br />

with sediment yield from a drainage basin. If sheet erosion or loss soil<br />

is to be estimated for individual events, rather than on a seasonal basis,<br />

detailed consideration of temporal variation in sediment availability both<br />

during storms and between events is required.’ Erodibility measures<br />

should then be thought of as dynamic rather than static indices and removal<br />

13


TABLE I<br />

Some examples of equations describing the Sheet Erosion Process. 47<br />

St =<br />

x 1.73<br />

. tan 1.35 B Kirkby (1969)<br />

A = E 1.35<br />

0.35<br />

s cs' sp - Ls . '30<br />

THE UNIVERSAL SOIL LOSS EQUATION (U.S.L.E.)<br />

E = R.K.L.S.C.P.<br />

DEVELDPMENTS OF THE U.S.L.E.<br />

b<br />

G = a(Q .q K.L.S.C.P.<br />

P<br />

A = (aA<br />

Where:<br />

St =<br />

*r<br />

+ bcQ. qp' ) K.L.S.C.P.<br />

Soil transport<br />

x = Slope length<br />

L =<br />

B = Slope gradient<br />

s =<br />

A = Soil loss<br />

c =<br />

E =<br />

S<br />

cs =<br />

Soil erodibility factor<br />

Soil cover factor<br />

P<br />

G<br />

=<br />

=<br />

s<br />

P<br />

Ls<br />

= Slope (per cent)<br />

= Slope length<br />

Q<br />

qp<br />

=<br />

=<br />

P -<br />

30 - 2 year 30 minute rainfall<br />

Ar =<br />

E = Soil loss<br />

A =<br />

R = Rainfall factor<br />

a,b =<br />

c = coefficient<br />

15<br />

1'75 Musgrave (1947)<br />

K =<br />

Wischmeier and Smith (1965)<br />

Williams (1975)<br />

Foster et a1 (1973)<br />

Soil erodibility factor<br />

Slope length factor<br />

Slope steepness factor<br />

Cropping factor<br />

Conservation factor<br />

Sediment yield<br />

Runoff volume<br />

Peak flow rate<br />

Drainage area<br />

Soil loss<br />

Weighting parameters


TABLE 2<br />

Some examples of equations describing various components of the<br />

Sheet Erosion Process.4g<br />

RAINFALL DETACHMENT<br />

Dr = Sdr.<br />

2<br />

Ai. 1 Meyer & Wischmeier (1969)<br />

Id = C.COs S (CosS.P2 - C,.d.P) Fleming & Fahmy (1973)<br />

2<br />

SS = f(KE. M . Vt )<br />

Negev ( 1967)<br />

RUNOFF DETACHMENT<br />

Df = Sdf . Ai (SQ. Qp )<br />

Rd = K. X.y.S<br />

TRANSPORT CAPACITY OF RAINFALL<br />

Meyer & Wischmeier (1969)<br />

Fleming & Fahmy (1973)<br />

T = St,. S I Meyer & Wischmeier (1969)<br />

It = T.P.Tan S Fleming & Fahmy (1973)<br />

TRANSWRT CAPACITY OF RUNOFF<br />

INTERRILL TRANSPORT CAPACITY<br />

T , = C . (Si + C ) W. L. (‘2.1)<br />

Cl s1 so<br />

Where:<br />

Dr =<br />

‘dr =<br />

Ai =<br />

I =<br />

I =<br />

d<br />

c =<br />

s =<br />

P =<br />

c1 =<br />

d =<br />

ss =<br />

Soil detached by rainfall<br />

Soil effect factor<br />

Area of increment<br />

Rainfall intensity<br />

Soil detachment rate<br />

Soil type parameter<br />

Angle of slope<br />

Rainfall intensity<br />

Soil parameter<br />

Particle size<br />

Soil splash<br />

Meyer & Wischmeier (1969)<br />

Bennett (1974)<br />

Foster & Meyer (1975)<br />

K = Soil parameter<br />

8 = Fluid specific gravity<br />

Y = Flow depth<br />

Tr = Splash transport capacity<br />

‘tr =<br />

Soil effect constant<br />

It = Impact transport rate<br />

T = Parameter<br />

T -<br />

f -<br />

s =<br />

tf<br />

Tc =<br />

Runoff transport capacity<br />

Soil effect constant<br />

Flow transport capacity<br />

so = Local bed slope<br />

ICE= Kinetic energy<br />

M = RaindroD .~ mass<br />

Vt = Terminal velocity of raindrops<br />

T . = Interrill transport capaci’<br />

Cl<br />

C . = Soil tranSDOrtabilitv cosi<br />

efficient<br />

Si = Interrill slope steepness<br />

Df = Soil detached by runoff Cso = Transport capacity at zero<br />

Sdf = Soil effect constant<br />

U =<br />

slope<br />

Excess rainfall rate<br />

Q =<br />

Rd =<br />

Flow rate L<br />

Rate of soil detachment<br />

i<br />

c<br />

=<br />

=<br />

Interrill<br />

constant<br />

slope length<br />

16


of accumulated loose material must be distinguished from the inherent<br />

erodibility of the soil. Scope exists for replacement of the rainfall term<br />

in the U.S.L.E. with a runoff parameter,14 (Table 1) and research could be<br />

directed at providing an index of snowmelt runoff, in order to make the<br />

approach more applicable to spring melt conditions.” Results from erosion<br />

plots at Sherbrooke, Quebec,I6 Sandusky, Ohio,” and Guelph,” have referred<br />

to annual soil loss rates equivalent to up to 126, 280 and nearly 4,000<br />

tonnes/km2 respectively and demonstrate that these processes could be a<br />

significant sediment source in this region.<br />

Little attention is usually attached to subsurface erosion processes<br />

in terms of land surface sediment sources, but it should be recognized<br />

that water flow within the soil may carry clay particles and colloidal<br />

material. In this context it is difficult to distinguish between suspended<br />

and dissolved transport. PipingIg may also develop at horizons in the soil<br />

where throughflow is concentrated and where significant hydraulic gradients<br />

exist and this mechanism is doubtless significant for sediment removal,<br />

although little work has as yet been carried out on its relative importance.<br />

In contrast to sheet erosion, much less attention, both in terms<br />

of experimental measurement and theoretical analysis has been applied to<br />

processes of channel erosion and many of the mechanisms are poorly understood,<br />

Where channels are cut in non-cohesive materials, scour will occur<br />

along a reach if the transport capacity of the flow is not satisfied and<br />

equilibrium transport relationships and regime theory” could be employed<br />

to evaluate the extent of erosion. Several studies have focused on the<br />

factors influencing the erosion resistance of cohesive materials and the<br />

effect of moisture content” but there is considerable scope €or application<br />

to the field situation. A pioneering field investigation by Wolman<br />

in 1959,” pointed to various mechanisms of bank erosion. He found severe<br />

erosion in winter months when high flows attacked banks that were previously<br />

wet and he noted significant erosion from combinations of cold periods, wet<br />

hanks, frost action and rises in stage, and that freeze-thaw action also<br />

produced some erosion without a change of stage. Subsequent work has<br />

pointed to the importance of pre-conditioning of the banks, particularly by<br />

wetting, hcfore significant erosion occurs‘ and Carson &.” have<br />

developed a model of bank sediment entrainment for the spring flood in the<br />

Eaton Basin, Quebec. This is based on simulation of changes in bank erodibility,<br />

with sediment entrainment decreasing with increased duration of<br />

flow past a point and the rate of initial entrainment closely related to<br />

the time elapsed since that point was last submerged.<br />

Gully development is generally associated with an imbalance in<br />

the fluvial system such as occurs with a severe climatic event, improper<br />

land use or changes in base level. Their growth combines the action of<br />

concentrated surface water, alternate freeze-thaw of exposed banks and<br />

sides and sloughing due to undercutting and waterfall retreat. Several<br />

empirical studies of factors influencing gully growth have been carried<br />

out2* but in general the precise mechanics of gully development are poorly<br />

understood.<br />

THE WATERSHED RESPONSE TO EROSION PROCESSES<br />

In order to understand the sediment yield of a drainage basin,<br />

the processes outlined above must be integrated into the catchment and<br />

17


evaluated in terms of the overall drainage basin dynamics and hydrology.<br />

Not all the sediment eroded from a watershed will be transported out of the<br />

basin and the ratio of gross or total erosion (T) to sediment yield (Y) is<br />

Y<br />

generally referred to as the delivery ratio (D), i.e. D = 7, which is<br />

usually expressed as a percentage. The delivery ratio may vary in from<br />

excess of 90% to approaching zero and in a relatively homogeneous catchment<br />

it will tend to decrease with increasing basin area. Several workers have<br />

established quantitative relationshi s between the ratio and drainage area<br />

and other catchment characteristics,P6 and a generalized relationship<br />

between delivery ratio and catchment area based on such work is presented<br />

in Figure 3. Considerations of channel routing and in-channel and flood<br />

plain deposition and storage are involved in this characteristic of sediment<br />

delivery but little attention has been given to the precise process mechanisms<br />

involved.<br />

The relative efficacy of the various erosion processes in contributing<br />

to the sediment yield is also best evaluated at the basin level.<br />

Sheet erosion has primarily been studied on plots of bare or poorly vegetated<br />

soil, often under intense artificial rainfall, and the question of<br />

its importance under natural conditions in humid areas is closely related<br />

to discussion of the extent to which overland flow is a significant process<br />

in storm hydrograph production*’ and the relative importance of throughflow<br />

and surface runoff. Kirkby” demonstrated that rainfall intensities rarely<br />

exceed natural infiltration capacities in humid areas with good vegetation<br />

cover and suggested that throughflow is an important mechanism in storm<br />

hydrograph generation, with surface runoff only occurring from saturated<br />

areas near the slope base. The concept of widespread overland flow, resulting<br />

from rainfall intensity exceeding infiltration capacity, popularized by<br />

Horton” belongs essentially to semi-arid areas.<br />

Furthermore, the partial-area and variable source area models of<br />

storm runoff production, which have gained wide acceptance in years, recent 30 have very important implications for sediment source areas. If surface<br />

runoff is generated from a small portion of the basin close to the channel<br />

network, the area of the watershed significant for sediment yield will be<br />

limited to this contributing area, (Figure 4). The stream network must<br />

also be viewed as a dynamic element of the drainage basin and will in many<br />

cases expand and contract in response to variations in catchment moisture<br />

status and storm magnitude. 31 Acceptance of the dynamic character of both<br />

material erodibility and of the contributing area and drainage networks<br />

within a catchment necessarily means that sediment entrainment is very<br />

time-variant.<br />

The question of the precise sources of the sediment transported<br />

from a drainage basin is one that still requires detailed research. When a<br />

good vegetation cover is present and in the absence of direct evidence of<br />

overland flow, it is attractive to ascribe the dominant source to the<br />

channel system. Work by Kirkby3’ in an upland catchment in Scotland<br />

suggested that 93% of the sediment came from erosion of river bluffs and the<br />

study by Carson &. 33 of the Eaton Basin in the Quebec Appalachians<br />

concluded that the suspended sediment load originated primarily from scour<br />

of the banks of the channel network. However, calculation of sediment<br />

budgets can indicate that the rate of channel enlargement is totally inadequate<br />

to account for the volume of sediment represented by the sediment<br />

yield and alternative sources must be sought. Study of the clay mineralogy<br />

18


I-<br />

W<br />

.<br />

Based on:<br />

\ Roehl (1 962)<br />

Maner (1 958)<br />

Gottschalk and Brune (19<strong>50</strong>)<br />

2 100-<br />

Maner and Barnes (1 953)<br />

2<br />

t <strong>50</strong>-<br />

E<br />

a<br />

20-<br />

*r, 10t<br />

F 5-<br />

$<br />

@ 2-<br />

1<br />

0.0 1<br />

1 1<br />

0-05 0.1<br />

I I<br />

0.5 1.0<br />

I<br />

5<br />

I<br />

10<br />

1 I<br />

<strong>50</strong> 100<br />

I<br />

<strong>50</strong>0 1000<br />

Drainage Area (Square miles)<br />

Figure 3. A generalized relationship between drainage area and sediment<br />

delivery ratio based on the findings of several U.S. workers.


N<br />

0<br />

2 Year Return Period 10 Year Return Period<br />

area<br />

Figure 4 . A hypothetical example of the variation of the storm runoff<br />

contributing area and the stream network within a catchment for<br />

flood events of different magnitude.


of sediments may provide information on source areas. " Techniques of<br />

'chemical fingerprinting' may also help to provide an answer and it is<br />

noteworthy that the increased attention recently being paid to the chemical<br />

quality of sediment may indirectly provide valuable evidence to as sediment<br />

sources.<br />

Despite some debate as to precise processes and source areas<br />

involved in sediment yield and their relation to storm runoff dynamics,<br />

several studies have successfully related catchment sediment yields to<br />

hydrometeorological variables, both on an annual and on a storm-period<br />

basis, 35 and to land use and other catchment characteristics. 36 Soil loss<br />

equations can also be adapted for catchment if use a routing algorithm is<br />

introduced. 3 7 Some researchers have, however, noted differences in the<br />

pattern of response to hydrometeorological conditions according to catchment<br />

size,3R with yields from plots and small catchments reflecting the<br />

seasonal distribution of rainfall energy and those from large catchments<br />

reflecting the runoff regime. Explanation of such contrasts must be<br />

sought in considerations of sediment routing, delivery ratios, and the<br />

partial-area concept. Following from the early work of Nege~,'~ progress<br />

has also been made in the field of computer simulation of erosion and<br />

sediment yields at the catchment level," although the dependence on<br />

existing runoff models and the use of optimized parameters can to call<br />

question the extent to which such models represent reality. Some attempts<br />

have been made to develop more deterministic models for individual hillslopes<br />

and small catchments," but progress must be limited until our<br />

knowledge of sediment processes and source areas improves and allows more<br />

realistic conceptual models to be formulated.<br />

TEMPORAL PATTERNS OF SEDIMENT I~LIVERY<br />

Temporal and spatial integration of the processes of erosion and<br />

sediment yield within a drainage basin result in a complex of pattern<br />

variation in sediment yield at the catchment outlet. A knowledge of the<br />

magnitude and timing of sediment concentration and loads is essential if<br />

the problems of sediment-associated contaminants and nutrients to are be<br />

evaluated. Sediment discharge (S) / streamflow ((1) or sediment concentration<br />

(C) / streamflow (Q) relationships or rating curves have been used<br />

by many workers to characterize the general range of variation of sediment<br />

transport rates and to demonstrate the tendency for increased concentrations<br />

or loads to be assoc'ated with high flows. In general a relationship of<br />

the form S or C = aQ' can be established (Figure 5). The close dependence<br />

of sediment concentration on discharge should not be viewed as indicative<br />

of a transport capacity effect, because the wash load is essentially a noncapacity<br />

load, but rather that the erosion processes causing sediment<br />

entrainment generally operate most effectively during periods of high flow.<br />

In most cases, considerable scatter about the simple rating relationship is<br />

apparent and this can be related to seasonal and hysteretic effects, the<br />

detailed timing of the concentration graph relative to the flow hydrograph,<br />

and an exhaustion effect operating both during a single event and through a<br />

series of events. '* An example from a British catchment of some of these<br />

controls and in particular the exhaustion effect is presented in Figure 6.<br />

Several researchers have suggested that the slope (b) and intercept (a)<br />

values of a rating relationship can be used to infer source areas and the<br />

general sediment dynamics of a catchment. 43<br />

21


1 000<br />

i<br />

\<br />

9,<br />

E<br />

- - - . - - -<br />

Daily Mean Discharge (cfs)<br />

22


W<br />

N<br />

Figure 6. Variation of suspended sediment concentration during a series<br />

of storm runoff events on the River<br />

Dart, Devon, England (46 km’). This clearly demonstrates the complexity of the relationship<br />

between concentration and discharge.


The seasonal distribution of yield from a catchment will reflect<br />

the interaction of precipitation and flow regimes and sediment availability.<br />

In the Great Lakes region the seasonal yield pattern is dominated by the<br />

period of the spring melt, (Figure 7) and Dickinson &.'4 calculated that<br />

about 55% of the sediment load of rivers in southern Ontario is carried<br />

during March and April. Duration or frequency analysis can also be usefully<br />

employed to demonstrate that a large proportion of the sediment load<br />

of a river is carried during a short period of time. In small catchments<br />

in East Devon, England, for example, approximately 78 percent of the annual<br />

suspended sediment load was carried by flows which equalled or exceeded 1%<br />

of the time or within an overall duration equivalent to 3.5 days. Similar<br />

analysis for several rivers tributary to the Great Lakes is presented in<br />

Figure 8. In the case of the Cass River, Michigan, approximately 80 percent<br />

of the load was carried in 5 percent of the year. If the data available<br />

are sufficiently detailed, analysis can be extended to individual storms in<br />

order to evaluate the relative importance of storms of varying magnitude in<br />

sediment production. 'I5 Long periods of record will also enable relative<br />

importance of extreme events to be assessed and anlysis of the significance<br />

of events of varying return period could be usefully combined with an assessment<br />

of the extent and character of the associated contributing areas and<br />

of thresholds in hydrologic response. Techniques of measuring suspended<br />

sediment concentrations and loads are now well documented46 but careful<br />

evaluation of patterns of temporal variation in sediment transport is necessary<br />

if sampling programmes are to provide reliable estimates of sediment<br />

yield.<br />

Any statement of research needs depends closely on the perception<br />

of the purposes involved and on the subjective views of the writer. In the<br />

opinion of this writer, who is concerned with the geomorphological and hydrological<br />

background, future research on erosion processes, sediment sources<br />

and sediment yields should be focused on the drainage basin as a unit of<br />

study. Since the suspended load of a stream is primarily a non-capacity<br />

load, attention should be directed towards sediment sources and entrainment<br />

processes within the basin rather than channel transport hydraulics. Detailed<br />

evaluation of the erosion processes operating on a slope or a small plot<br />

may be of limited value if the eroded material does not enter a stream. The<br />

fate of the sediment as it is routed down the channel network remains another<br />

large area of uncertainty but this is outside the scope of this discussion.<br />

Worthwhile areas of study could include:<br />

1) In terms of process dynamics, detailed investigation of the<br />

mechanisms and significance of sediment entrainment by subsurface<br />

runoff and of bank erosion is required. Plot and reach studies will<br />

be necessary but the results should be integrated within the overall<br />

watershed response.<br />

2) Development of sediment budgets in order to demonstrate the<br />

relative importance of various processes.<br />

24


C<br />

4 30<br />

RIVER CASS (2196 km2)<br />

1966-70<br />

a < 30<br />

401<br />

x<br />

20<br />

$<br />

5 10<br />

s<br />

P O<br />

BIG CREEK (591 km2)<br />

1967-73<br />

Figure 7. The average annual distribution of monthly sediment loads for<br />

several rivers draining to the Great Lakes.<br />

25


/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/ /<br />

/<br />

/<br />

/<br />

/<br />

/<br />

/<br />

I 1 I I I I I 1 I 1 I 1 I 1<br />

0.1 0.2 0.5 1 2 5 10 20 30 40 <strong>50</strong> 60 70 8C<br />

Cumulative Percentage of Time<br />

Figure 8. Duration characteristics of sediment yield from four catchments<br />

draining to the Great Lakes. Data from two other U.S. rivers<br />

are also included for comparative purposes.<br />

26


3) Delimitation of major source areas in order to evaluate the<br />

spatially distributed nature of erosion processes.<br />

4) Integration of source and budget studies with realistic<br />

concepts of storm runoff production, particularly the partial-area<br />

and variable source area concepts.<br />

5) Detailed monitoring of individual storm runoff events in order<br />

that the spatial and temporal integration of sediment dynamics can be<br />

understood.<br />

6) Development of physically-based models of erosion and sediment<br />

yield as a long term objective.<br />

LITERATURE CITED<br />

follow.<br />

1.<br />

2.<br />

3.<br />

4.<br />

5.<br />

6.<br />

7.<br />

8.<br />

References to elaborate points raised in the preceding discussion<br />

(Numbers refer to numbers in parentheses in the text)<br />

Task Committee on Preparation of Sedimentation Manual (1962).<br />

Sediment Transportation Mechanics: Introduction and Properties<br />

of Sediment, Proc. A.S.C.E. J. Hyd. Div. E, HY4, 77-107.<br />

For example: U.N.E.S.C.O., (1974). Gross Sediment Transport to<br />

the Oceans, U.N.E.S.C.O. Sc. 74lWSl33.<br />

Holeman, J. N., (1968). The Sediment Yield of Major Rivers of<br />

the World, Water Resources Research,<br />

4, 737-47.<br />

Langbein. W. B. and Schumm, S. A., (1958). Yield of Sediment in<br />

Relation to Mean Annual Precipitation, Trans. Amer. Geophys. Union,<br />

- 39, 1076-84.<br />

See also Wilson, L., (1973). Variations in Mean Annual Sediment<br />

Yield as a Function of Mean Annual. Precipitation, Amer. J. Sci.<br />

273, 335-349.<br />

Douglas, I., (1967). Man, Vegetation and the Sediment Yield of<br />

Rivers, Nature, 215, 925-8.<br />

Fleming, G., (1969). Design Curves for Suspended Load Estimation,<br />

Proc. Inst. Civ. Em., 9, 1-9.<br />

Jansen, J. M. L. and Painter, R. B., (1974). Predicting Sediment<br />

Yield from Climate and Topography, J. Hydrol. 11, 371-80.<br />

Stichling, W.. (1973). Sediment Loads in Canadian Rivers, in Fluvial<br />

Processes and Sedimentation, Proc. 9th Hydrology Symposium, Edmonton.<br />

Alberta, National Research Council, 39-72.<br />

Rainwater, F. H., (1962). Stream Composition in the Conterminous<br />

United States, U.S.G.S. Hydr. Inv. Atlas HA61.<br />

27


9. For example: Musgrave, G. W., (1947). The Quantitative Evaluation<br />

of Factors in Water Erosion, a First Approximation, J. Soil and<br />

Water Conservation 2, 133-8.<br />

Zingg, A. W. (1940) Degree and Length of Land Slope as it Affects<br />

Soil Loss in Runoff, Agricultural Engineering<br />

2, 59-64.<br />

Wischmeier, W. H. and Smith, D. D. (1958) Rainfall Energy and its<br />

Relation to Soil Loss, Trans. Amer. Geophys. Union, 2, (2). 285-91.<br />

Mirtskhoulava, T. E. (1974) Prediction of Erosion Intensification<br />

by Man, Int. Assoc. Hydr. Sci. Pub. 113, 78-82.<br />

10. For example: Meyer, L. D. and Wischmeier, W. H. (1969)<br />

Mathematical Simulation of the Processes of Soil Erosion by<br />

Water, Trans. Am. SOC. Ag. Engrs. 12, (6), 754-8, 762.<br />

Foster, G . R. and Meyer, L. D. (1975) Mathematical Simulation<br />

of Upland Erosion by Fundamental Erosion Mechanics, in Present<br />

and Prospective Technology for Predicting Sediment Yields and<br />

Sources, U.S.D.A. ARS-S-40 190-207<br />

Free, G. R. (1960) Erosion Characteristics of Rainfall, Ag.<br />

Engineering, 41, (7) 447-9, 455.<br />

Rowlison, D. L. and Martin, G. L. (1971) Rational Model Describing<br />

Slope Erosion, Proc. A.S.C.E. J. Irrig. Dr. Div. 97 (IRl), 39-<strong>50</strong>.<br />

Kiling, M. and Richardson, E. V. (1973) Mechanics of Soil Erosion<br />

from Overland Flow Generated by Simulated Rainfall, Colorado<br />

State University Hydrology Papers, 63.<br />

Carson, M. A. and Kirkby, M. J. (1972) Hillslope Form and Process<br />

Ch. 8., Surface Water Erosion.<br />

11. For example: Barnett, A. P. and Rogers, 3. S. (1966) Soil Physical<br />

Properties Related to Runoff and Erosion from Artificial Rainfall<br />

Trans. A.S.C.E. 2, 123 et al.<br />

Wischmeier, W. H. and Mannering, J. V. (1969) Relation of Soil<br />

Properties to its Erodibility, Proc. Soil Sci. SOC. America, 3,<br />

(1) , 131-37.<br />

Wischmeier, W. H. &. (1971) A Soil Erodibility Nomograph for<br />

Farmland and Construction Sites, J. Soil and Water Conservation<br />

- 26, 189-93.<br />

Bryan, R. B. (1969) The Development, Use and Efficiency of<br />

Indices of Soil Erodibility, Geoderma,<br />

2, (l), 5-25.<br />

12. Wischmeier, W. H. and Smith, D. D. (1965) Predicting Rainfall-<br />

Erosion Losses from Cropland East of the Rocky Mountains,<br />

Agriculture Handbook, 282, USDA, ARS.


13.<br />

14.<br />

15.<br />

16.<br />

17.<br />

18.<br />

1.9.<br />

20.<br />

21.<br />

22.<br />

For example: Emmett, W. W. (1970) The Hydraulics of Overland<br />

Flow on Hillslopes, U.S.G.S. Prof. Paper 662-A.<br />

Ellison, W. D. (1945) Some Effects of Raindrops and Surface<br />

Flow on Soil Erosion and Infiltration, Trans. Amer. Geophys. Union<br />

- 26, 415-29.<br />

Williams, J. R. (1975) Sediment Yield Prediction with Universal<br />

Equation Using Runoff Energy Factors, in Present and Prospective<br />

Technology for Predicting Sediment Yields and Sources, USDA,<br />

ARS-S-40, 244-52.<br />

Wigham, J. M. and Stolte, W. J. (1973) Sediment Yield Estimates<br />

from an Index of Potential Sediment Production, in Fluvial Processes<br />

and Sedimentation, Proc. 9th Hydrology Symposium, Edmonton, Alberta,<br />

208-16.<br />

Clement, P. and Gadbois, P. (1971) Comparison et Interpretation<br />

des Resultats de Deux Parcelles Experimentales d'Erosion 1969-70<br />

(Sherbrooke, Quebec). Proc. 2nd Guelph Symp. Geomorphol., 266-27<br />

Schwab, G. 0. et&., (1972) Chemical and Sediment Movement from<br />

Agricultural Land into Lake Erie Rept. Water Resources Center,<br />

Ohio State University.<br />

Ketcheson, J. K. &., (1973) Potential Contribution of<br />

Sediment from Agricultural Land, in Fluvial Processes and<br />

Sedimentation, Proc. 9th Hydrology Symposium, Edmonton, Alberta,<br />

208-16.<br />

Jones, A. (1971) Soil Piping and Stream Channel Initiation<br />

Water Resources Research, 1, 602-10.<br />

For example: Lane, E. W. (1955) The Importance of Fluvial<br />

Morphology in Hydraulic Engineering, Proc. A.S.C.E. 3. Hyd. Div.,<br />

- 81, 1-17.<br />

Blench, T. (1957) Regime Behaviour of Canals and Rivers,<br />

Butterworths.<br />

For example: Smerdon, E. T. and Beasley, R. P. (1959) Tractive<br />

Force Theory Applied to Stability of Open Channels in Cohesive<br />

Soils. Research Bull. 715, Univ. Missouri Ag. Expt. Station,<br />

Columbia, Mo.<br />

Grissinger, E. H. (1966) Resistance of Selected Clay Systems<br />

to Erosion by Water, Water Resources Research, g,(l), 131-8.<br />

Partheniades, E. (1971) Erosion and Deposition of Cohesive<br />

Materials, in H. W. Shen (ed.) River Mechanics, 2.. 251-91.<br />

Wolman, M. G. (1959) Factors Influencing Erosion of a Cohesive<br />

River Bank, Amer. J. Sci., 257, 204-16.<br />

29


23.<br />

24.<br />

25.<br />

26.<br />

27.<br />

28.<br />

29.<br />

30.<br />

Knighton, A. D. (1973) Riverbank Erosion in Relation to Streamflow<br />

Conditions, River Bollin-Dean, Cheshire, East Midland Geographer,<br />

- 5, ( E), 416-26.<br />

Harrison, S. S. (1970) Note on the Importance of Frost Weathering<br />

in the Disintegration and Erosion of Till in East-Central Wisconsin,<br />

Bull. Geol. SOC. Am., 3, 3407-10.<br />

Carson, M. J., d., (1973) Sediment Production in a Small<br />

Appalachian Watershed During Spring Runoff: The Eaton Basin,<br />

1970-72, Canadian J. Earth Sciences, E, (12), 1707-34.<br />

For example: Thompson, J. R. (1964) Quantitative Effect of<br />

Watershed Variables on the Rate of Gully Head Advancement. Trans.<br />

Am. SOC. Ag. Engrs., 1, (I), 54-55.<br />

Beer. C. E. and Johnson, H. P. (1965) Factors Related to Gully<br />

Growth in the Deep Loess Area of Western Iowa, Proc. (1963)<br />

Federal Interagency Sedimentation Conference, USDA Misc. Pub.<br />

970. 37-43.<br />

Heede, B. H. (1974) Stages of Development of Gullies in the Western<br />

United States of America, Zeits. Geomorph..<br />

Is, (3), 260-71.<br />

For example: Roehl, J. W. (1962) Sediment Source Areas, Delivery<br />

Ratios and Influencing Morphological Factors, Internat. Assoc.<br />

Hyd. Sci. Pub., 2, 202-13.<br />

Maner, S. B. (1958) Factors Affecting Sediment Delivery Rates<br />

in the Red Hills Physiographic Area, Trans. Amer. Geophys. Un.,<br />

39, 669-75.<br />

-<br />

Renfro, G. W. (1975) Use of Erosion Equations and Sediment-<br />

Delivery Ratios for Predicting Sediment Yield, in Present and<br />

Prospective Technology for Predicting Sediment Yields and<br />

Sources, USDA, ARS-S-LO, 33-45.<br />

For example: Pierce, R. S. (1967) Evidence of Overland Flow<br />

on Forest Watersheds: and<br />

Hewlett, J. D. and Hibbert, A. R. (1967) Factors Affecting<br />

the Response of Small Watersheds ot Precipitation in Humid<br />

Areas, both in:<br />

Sopper, W. E. and Lull, H. W. (eds.) Int. Symp. Forest Hydrology<br />

(Pergarnon Press), 247-51 and 275-90.<br />

Kirkby, M. J. (1969) Infiltration, Throughflow and Overland Flow,<br />

in R. J. Chorley (ed.) Water Earth and Man, 215-28.<br />

Horton, R. E. (1933) The Role of Infiltration in the Hydrologic<br />

Cycle, Trans. Amer. Geophys. Un., 14 446-60.<br />

For example: Dunne, T. and Black, R. D. (1970) Partial Area<br />

Contributions to Storm Runoff in a Small New England Watershed, Water<br />

Resources Research, 5, 1269-1311.<br />

Ragan, R. M. (1967) An Experimental Investigation of Partial Area<br />

Contributors. Int. Assoc. Hyd. Sci. Pub., 3, 241-9.<br />

30


Nutter, W. L. and Hewlett, 3. D. (1971) Stormflow Production<br />

From Permeable Upland Basins, in Monke, E. J. (Ed.) Biological<br />

Effects in the Hydrological Cycle, Proc. Third Int. Seminar for<br />

Hydrology Professors, 248-58.<br />

Engman, W. T. (1974) Partial Area Hydrology and its Application<br />

to Water Resources, Water Resources Bulletin (3), 512-21.<br />

Dunne, T., Moore, T. R. and Taylor, C. R. (1975) Recognition<br />

and Prediction of Runoff-Producing Zones in<br />

Ass. Hyd. Sci. Bull. 0, 305-27.<br />

Humid Regions. Int.<br />

31. For example: Gregory, K. J. and Walling, D. E. (1968) The<br />

Variation of Drainage Density Within a Catchment. Int.<br />

Sci. Bull. 2, 61-8.<br />

Ass. Hyd.<br />

Blyth, K. and Rodda, J. C. (1973) A Stream Length Study. Water<br />

Resources Research 2, (5) 1454-61.<br />

32. Kirkby, M. J. (1967) Measurement and Theory of Soil Creep,<br />

J. Geol. 3, 359-78.<br />

33. Carson, M.J. gtt (1973) (see ref. 24).<br />

34. For example: Wall, G. J. and Wilding, L. P. (1976) Mineralogy<br />

and Related Parameters of Fluvial Suspended Sediments in Northwestern<br />

Ohio. J. Environ. Qual. 2, 168-73.<br />

Klages, M. G. and Hsieh, Y. P. (1975) Suspended Solids Carried<br />

by the Gallatin River of Southwestern Montana: 11. Using<br />

Mineralogy for Inferring Sources. J. Environ. Qual. 4. 68-73.<br />

35. For example: Dragoun, F. .J. (1962) Rainfall Energy as Related<br />

to Sediment Yield, J. Geophys. Research, 67, (4), 1495-1<strong>50</strong>1.<br />

Williams, J. R. (1971) Prediction of Sediment Yields from<br />

Small Watersheds, Trans. Am. SOC. Ag. Engrs., E, (6), 1158-62.<br />

Guy, H. P. (1964) An Analysis of Some Storm Period Variables<br />

Affecting Stream Sediment Transport, U.S.G.S. Prof. Paper, 462E.<br />

Walling, D. E. (1974) Suspended Sediment and Solute Yields from<br />

a Small Catchment Prior to Urbanization, Inst. Br. Geogr. Spec.<br />

Pub. 6, 169-191.<br />

36. For example: Hindall, S. M. (1976) Prediction of Sediment<br />

Yield in Wisconsin streams. Proc. Third Federal Interagency<br />

Sedimentation Conference, 1205-18.<br />

Shown, L. M. (1970) Evaluation of a Method for Estimating Sediment<br />

Yield, U.S.G.S. Prof. Paper, 700-B, 245-9.<br />

Flaxman, E. M. (1972) Predicting Sediment Yield in the Western<br />

United States, Proc. A.S.C.E. J. Hyd. Div., 98. (HY12); 2073-85.<br />

31


37.<br />

38.<br />

39.<br />

40.<br />

41.<br />

42.<br />

43.<br />

44.<br />

Williams, J. R. (1975) Sediment Routing for Agricultural<br />

Watersheds. Water Resources Bulletin, 11. 965-74.<br />

McGuiness. J. L. & (1971) Relation of Rainfall Energy and<br />

Streamflow to Sediment Yield from Small and Large Watersheds,<br />

J. Soil and Water Cons., 26, 2087-98.<br />

Dickinson, W. T. g& (1975) Fluvial Sedimentation in Southern<br />

Ontario, Canadian J. Earth Sciences, 12, 1813-9.<br />

Negev, M. (1967) A Sediment Model on a Digital Computer. Rept.<br />

76, Stanford University, California.<br />

For example: Fleming, G. and Leytham, K. M. (1976) The<br />

Hydrologic and Sediment Processes in Natural Watershed Areas.<br />

Proc. Third Federal Interagency Sedimentation Conference, 1,<br />

233-46.<br />

Gupta, S. K. (1974) A Distributed Digital Model for Estimation<br />

of Flows and Scdiment Load from Large Ungauged Watersheds, Doctoral<br />

Thesis, University of Waterloo, Dept. Civil Engineering.<br />

For example: Foster, G. R. and Meyer, L. D. (1975) Mathematical<br />

Simulation of Upland Erosion by Fundamental Erosion Mechanics, in<br />

Present and Prospective Technology for Predicting Sediment Yields<br />

and Sources, USDA ARS-S-40, 190-207.<br />

Meyer, L. D. and Wischmeier, W. H. (1969) Mathematical Simulation<br />

of the Process of Soil Erosion by Water, Trans. Am. SOC. Ag.<br />

Engrs., 8, (4) 572-7, 580.<br />

Li Ruh-Ming 5 & (1976) Water and Sediment Routing from Small<br />

Watersheds, Proc. Third Federal Interagency Sedimentation Conference,<br />

- 1, 193-204<br />

Walling, D. E. and Teed, A. (1971) A Simple Pumping Sampler for<br />

Research into Suspended Sediment Transport in Small Catchments,<br />

J. Hydtol., z, 325-37.<br />

Porterfield, G . (1973) Computation of Fluvial-Sediment Discharge,<br />

U.S.G.S. Techniques of Water Resources Investigations, C3, (3).<br />

Bauer, L. and Tille, W. (1967) Regional Differentiations of the<br />

Suspended Sediment Transport in Thuringia and their Relation to<br />

Soil Erosion. Int. Ass. Hyd. Sci. Pub., 75, 367-77.<br />

Flaxman, E. M. (1975) The Use of Suspended Sediment Load<br />

Measurements and Equations for Evaluation of Sediment Yield in<br />

the West, in Present and Prospective Technology for Predicting<br />

Sediment Yields and Sources, USDA ARS-S-40, 46-56.<br />

Dickinson, W. T. eta2 (1975) Fluvial Sedimentation in Southern<br />

Ontario, Canadian Journal of Earth Sciences, 1 2, 1813-9.<br />

32


45. Piest, R. F. (1965) The Role of the Large Storm as a Sediment<br />

Contributor, Proc. (1963) Federal Interagency Sedimentation<br />

Conference, USDA Misc. Pub. 970, 97-108.<br />

46. For example: Guy, H. P. and Norman, V. W., (1970). Field Methods<br />

for Measurement of Fluvial Sediment, U.S.G.S. Techniques of<br />

Water Resource Investigations, g, (3).<br />

47. Kirkby, M. J. (1969) Erosion by Water on Hillslopes, in R. J.<br />

Chorley (ed.) Water, Earth and Man.<br />

Musgrave, G. W. (1947) Quantitative Evaluation of Factors in<br />

Water Erosion, a First Approximation, J. Soil and Water<br />

Conservation, 2, 133-8.<br />

Wischmeier, W. H. and Smith, D. D. (1965) Rainfall Erosion<br />

Losses from Cropland East of the Rocky Mountains, U.S.D.A. Agr.<br />

Handbook, 282.<br />

Williams, J. R., (1975). - See Ref. 14.<br />

Foster, G. R. 9 &. (1973) Erosion Equation Derived from<br />

Modelling Principles. ASAE Paper 73-25<strong>50</strong>.<br />

48. Meyer, L. D. and Wischmeier, W. H., (1969). See Ref. 41.<br />

Fleming, G. and Fahmy, M. (1973) Some Mathematical Concepts<br />

for Simulating the Water and Sediment Systems of Natural Water-<br />

shed Areas, Univ. Strathclyde Dept. Civ. Eng. Rept. H0-73-26.<br />

Negev, M. (1967). See Ref. 39.<br />

Bennett, J. P. (1974) Concepts of Mathematical Modelling of<br />

Sediment Yield, Water Resources Research,<br />

lo, 485-92.<br />

Foster, G. R. and Meyer, L. D., (1975). - See Ref. 41.<br />

33


DISCUSS ION<br />

Mr. T. CahiZZ: Dr. Walling, the application of partial area hydrology is<br />

complicated in parts of the Great Lakes Basin, especially in Lake Erie by<br />

the existence of extensive under-drainage systems in the agricultural<br />

regions. Do you know, or have you had any exposure to any work investigating<br />

partial area applications, or analysis in basins with heavy underdrainage<br />

networks?<br />

Dr. D. ValZing: I think the short answer to this is no. The concept of<br />

partial area and variable source area is rather complicated. It is difficult<br />

enough to get this working as a realistic deterministic model, let alone<br />

building in underdrainage. The two are obviously very closely linked.<br />

Dr. D. Baker: You used a figure showing three different storms with equal<br />

runoff but greatly differing sediment yields associated with those storms.<br />

I could not read the time base. To what extent might variations in source<br />

areas and ground cover affect the sediment yields at the outlet of your<br />

watershed, or is it washing out of accumulated sediments in the channel<br />

itself? What is the source of the variations?<br />

Dr. D. Wuv'aZv'aZing: The storms were over about a three day period. The watershed<br />

size is about 30 km'. The rainfall characteristics were essentially<br />

similar for those three storms. My own feeling is that one has got both<br />

storage in the channel and on the land surface, and one has got these<br />

important exhaustion effects. Once the first sediment is removed from the<br />

land surfare, you get back to the inherent erodibility of the soil and the<br />

sediment production rates then drop quite markedly.<br />

DrS. ?'. Uickinson: You made a comment with regard to the bank erosion that<br />

you called preconditioning. I might say that initial conditions are important.<br />

I suggest that in fact the initial conditions are important for any of the<br />

erosion processes and perhaps that is what you are saying and you are also<br />

saying source areas are important and the whole timing is important. I think<br />

there has been a fair bit of experience in the modelling exercises if that<br />

one can make a good guess at the initial conditions, soil conditions, moisture<br />

conditions, cropping conditions, or whatever, one be may able to make a<br />

reasonable estimate of what is going to come off, whether its the bank or the<br />

field or whatever. The major problem is making a good guess of how those<br />

conditions vary. Would you agree with that?<br />

35


Dr. D. Walling: Yes, entirely. One wants some continuous accounting process<br />

whereby one can watch the conditions as they vary through time. A very good<br />

point.<br />

Dr. E. &gley: I have one observation to make regarding what you have<br />

said. From the point of view of impact on such a large area as the Great<br />

Lakes, it is obviously not possible to do the kinds of detailed studies one<br />

would like to have for such a broad area other than in small areas to obtain<br />

a feeling for the variables involved or the intensity of the processes. I<br />

think one of the things we need to address ourselves to, perhaps in the<br />

working session, is how do we extend the knowledge that we can gain from<br />

small areas to assessing impact over broad areas. This is a major problem<br />

when you are looking at something the size of the Great Lakes area.<br />

36


Influence of Land Use on Erosion and Transfer Process<br />

of Sediment<br />

T. Dickinson and G. Wall<br />

The average sediment yield from the landscape and the condition of<br />

stream channels tend to change with advancing forms of man's land use activities,<br />

as summarized in Table 1. Land uses which can cause severe erosion<br />

and sediment problems (e.g. highway and urban construction, timber harvesting,<br />

strip mining operations) have been identified; and land uses which tend to<br />

stabilize the landscape (e.g. reforestation, permanent pastures, stabilized<br />

urban settings) have been noted in the literature. Yet it remains difficult<br />

to quantitatively estimate changes in erosion and/or sediment yield due to<br />

land use changes - even in regions where sediment data are available, let<br />

alone in areas where extrapolation is being attempted.<br />

Although persons have observed and measured soil erosion and de-<br />

position phenomena in nature and have ascribed general reasons for these<br />

occurrences, the interplay of the forces, causes and the boundary conditions<br />

pertaining to erosion and sediment movement are less obvious.<br />

An investigation of the influence of land use on erosion and transport<br />

processes (as indeed an investigation of the processes themselves) also<br />

reveals that apparent land use effects are closely related to the of scale<br />

the studies undertaken. The dominant forces and boundary conditions governing<br />

erosion and sediment transport vary with landscape scale (i.e. the<br />

processes predominant on a plot are quite different from those determining<br />

conditions on a large field). Although the matter of scale has been empirically<br />

handled by simple extrapolation and by means of the delivery ratio approach,<br />

the real influence of scale on the processes and on apparent land use effects<br />

is not well understood.<br />

In light of the present state of knowledge regarding erosion and<br />

transport processes and the part scale has played in affecting statements on<br />

land use effects, the following discussion is focused on approaches which<br />

have been taken on different landscape scales - identifying items learned and<br />

apparent gaps.<br />

PLOT SCALE<br />

Plot studies have been used extensively by agriculturalists and<br />

hydrologists to study soil and water losses under a variety of climatic,<br />

physiographic, land use, and soil management situations. Plots became the<br />

unit of experimentation in these studies since they provided a quick and<br />

37


inexpensive means of obtaining the needed data in a short period of time.<br />

The basic premise common to all plot studies has been that by locating plots<br />

in a similar environment, all variables can be controlled except the one to<br />

be studied. Differences in results are therefore attributed to the differences<br />

in treatments. Generally, all plot studies have assumed that results<br />

were applicable to a greater or lesser degree beyond the limits of the plot.<br />

A review of the literature has indicated that there is no standard<br />

design for plot equipment (Hayward, 1971). Plot sizes range from a few<br />

square feet in laboratory studies to several acres in field studies. The<br />

most common plot size was 1/40 to 1/<strong>50</strong> of an acre. In general plots were 6,<br />

10, or 12 feet wide and 35, 70 or 72.6 ft. long. Plot width is often determined<br />

by drill size and tractor use within the plot. Plot length is usually<br />

determined by the local recommended terrace interval or the available length<br />

of uniform slope. Mutchler (1963) has given details of plot design and<br />

construction.<br />

The experimental design of soil loss plot experiments should permit<br />

the measurement of the difference between two or more treatments well as as<br />

furnish criteria by which the degree of confidence that can be placed in the<br />

result may be judged (Brandt, 1941). The two requisites of such a design are<br />

replication and randomisation. The purpose of replication is to increase<br />

precision and provide an estimate of error while randomisation ensures that<br />

the estimate of error is valid. It is significant to note that while the<br />

majority of plot studies reported in the literature did not replicate or<br />

randomize treatments, results are presented quantitatively (Hayward, 1971).<br />

The lack of proper design in these studies may mean that the results are<br />

either obscure or misleading (Brandt, 1941).<br />

Plot studies have been effectively employed to isolate factors<br />

which influence soil loss and runoff. Among the factors found to be most<br />

closely related to soil loss and runoff include: plant cover and mulches<br />

(Dickson, 1929); Kittredge. 1954; Duley. 1952). cropping practices and<br />

tillage (Van Doren and Bartelli, 1956; Meyer and Mannering, 1961), rainfall<br />

variables (Wischmeier, 1959; Rogers, &. , 1964) and slope parameters (Neale,<br />

1937; Zingg, 1940; Barnett and Rogers, 1966). In addition plot studies have<br />

been employed to evaluate the effectiveness of remedial measures proposed to<br />

reduce soil and water loss (Smith, 1941; Van Doren and Bartelli, 1956; Mannering<br />

and Meyer, 1961). However, there is an apparent lack of plot research in the<br />

literature that was designed to assess the importance of soil factors on<br />

erosion and runoff. Similarly, few studies have been conducted to study<br />

erosional processes.<br />

The findings from small plot studies have shown conclusively that a<br />

myriad of variables affect erosion. However, the extrapolation of plot data<br />

beyond the plot remains a problem. While many authors of plot research have<br />

freely assumed that their data had an application beyond the plot, it is<br />

generally admitted there is little evidence to support the direct aerial<br />

expansion of plot data.<br />

Several attempts have been made to relate plot data to field conditions<br />

through rational or empirical equations (Zingg, 1940; Musgrave, 1947;<br />

Smith, 1941; Van Doren and Bartelli, 1956). However, the universal soil loss<br />

equation (Wischmeier and Smith, 1965) is currently the empirical equation in<br />

38


LAND USE<br />

A. Natural forest<br />

or grassland<br />

B. Heavily grazed<br />

areas<br />

C. Cropping<br />

D. Retirement of land<br />

from cropping<br />

E. Urban construction<br />

F. Stabilization<br />

C. Stable urban<br />

TABLE 1.<br />

EFFECT OF LAND-USE SEQUENCE ON RELATIVE<br />

SEDIMENT YIELD AND CHANNEL STABILITY<br />

(after Guy, 1970 - a modification from Wolman, 1967)<br />

SEDIMENT YIELD<br />

Low<br />

Low to moderate<br />

Moderate to heavy<br />

Low to moderate<br />

Very heavy<br />

Moderate<br />

Low to moderate<br />

39<br />

CHANNEL STABILITY<br />

Relatively stable<br />

with some bank<br />

erosion<br />

Somewhat less<br />

stable than A<br />

Some aggradation and<br />

increased bank erosion<br />

Increasing stability<br />

Rapid aggradation and<br />

some bank erosion<br />

Degradation and severe<br />

bank erosion<br />

Relatively stable


greatest use. This statistical regression model was based upon soil loss<br />

records from test plots in U.S.A. the and takes the form A = RKLSCP where A<br />

is the average annual soil loss in tons per acre a specific from field, R is<br />

the rainfall factor, K is the soil erodibility factor, L is the slope length,<br />

S is the slope gradient, C is the cropping management factor and P is the<br />

existing conservation factor.<br />

The universal soil loss equation was designed to predict average<br />

annual soil losses from fields and construction sites by sheet and rill<br />

erosion. In order to obtain some estimate of the confidence limits of the<br />

equation, average annual soil losses were computed on 189 plots for which<br />

about 2300 plot years of records were available (Wischmeier, 1973). The plot<br />

predictions deviated from the corresponding measured soil losses by an<br />

average of 12% of the 11.3 ton overall average soil loss for the sample.<br />

The universal soil loss equation has been used for the prediction<br />

of watershed sediment yields but its capabilities and limitations for this<br />

use must be recognized (Shen, 1976). Universal soil loss equation predictions<br />

provide gross erosion levels and are not designed to predict deposition of<br />

sediments. It does not include sediment losses OK gains between the field<br />

and the stream OK reservoir. In order to use the universal soil loss equation<br />

to estimate sediment yield from a watershed it is necessary to introduce a<br />

weighted factor that takes into account deposition of eroded sediments. The<br />

sediment delivery ratio (defined as the change per unit area of downstream<br />

sediment movement from the source to any given measuring point) has been used<br />

for this purpose (Roehl 1962; Speraberry and Bowie, 1969; Renfro, 1972).<br />

Williams (1972) has modified the universal soil loss equation for predicting<br />

storm sediment yields by substituting the product of storm runoff amount and<br />

rate for the rainfall factor (R).<br />

Studies of erosion and sediment transport on watersheds have involved<br />

two approaches. On the one hand, sediment loads (primarily suspended<br />

solids) have been regularly sampled at the watershed outlet and inferences<br />

have been drawn regarding the sources of the sediment and the effects of land<br />

use. On the other hand, conceptual models of erosion and sedimentation<br />

processes have been hypothesized and used to estimate sediment yields at<br />

selected watershed outlet points. Where possible, these estimates have been<br />

compared with monitored results - OK monitored data have been used to "calibrate"<br />

the models. Each approach is considered below with regard to inherent<br />

strengths and weaknesses.<br />

(5) Sediment Load Monitoring<br />

Suspended sediment load data have been sparse in relation to those<br />

available for other hydrologic variables such as rainfall and streamflow. In<br />

Canada, it is only during the last two decades that continuous sampling of<br />

sediment loads for selected streams has been undertaken. Not only has<br />

sampling been sparse over area, but also it has been relatively infrequent in<br />

time .<br />

40


Although many of the sediment data have been carefully collected,<br />

and there have been pressing needs to make good use of this information,<br />

conclusions drawn from many of the monitored sediment load data regarding<br />

land use effects should be given careful consideration. Problems in this<br />

regard are noted below.<br />

Sediment load monitoring has customarily been time- rather than<br />

event-oriented (i.e. samples have been collected at regular time intervals<br />

rather than focused on storm events). As a consequence, peak concentrations<br />

and loads have not often been well defined. Since the loads occurring during<br />

peak flow periods account for the bulk of the total sediment load transported<br />

from a watershed (Dickinson, g., 1975) it is imperative that peak events<br />

be adequately sampled.<br />

Sediment samples taken during the year on a time-oriented base that<br />

misses many of the major sediment events do not provide either useful estimates<br />

of annual suspended loads or indices of such loads. Further, sample loads<br />

collected during periods of low flow, and land use effects inferred from low<br />

flow data, are not necessarily indicative of the annual suspended sediment<br />

load picture. This sampling problem poses a sufficient dilemma, that at the<br />

present time there is a need to examine the relative importance of peak flow<br />

events in order to design improved sampling schemes.<br />

In the northeastern United States and eastern Canada, the stream<br />

sediment load is controlled by source conditions rather than by downstream<br />

flow conditions. It is very difficult to "look upstream" from downstream<br />

data to identify important sources and land use effects without detailed<br />

information on source erosion and transport areas.<br />

(b) Watershed Models<br />

Watershed models of sediment yield have incorporated concepts<br />

whereby rainfall and runoff detach soil from field surfaces, transport it<br />

overland to drainageways, and move it downstream. One group of models<br />

applies the Universal Soil Loss Equation to land units (e.g. fields or groups<br />

oof fields) and routes the eroded material to other land and/or units downstream<br />

by means of empirical delivery ratios or transport factors (Kling and<br />

Olson, 1974; Frere, 1973). A second group couples erosion and sediment<br />

delivery concepts to deterministic hydrologic models (Negev, 1967; Fleming,<br />

1972; Simons &., 1975). Although some of the hydraulics-based aspects of<br />

these latter models are reasonably sophisticated, many of the concepts pertaining<br />

to the erosion of material and its transport are as simplistic and<br />

empirical as the delivery ratio approach.<br />

There is no doubt that* such models can be fitted to specific sets<br />

of input and output data, as numerous examples now illustrate. However, as<br />

the components and parameters are conceptual rather than physical in nature,<br />

it is extremely risky to apply the models to input conditions outside the<br />

range of conditions fitted - and to interpret model results in terms of<br />

land use effects. Predicted effects are not more meaningful than the individual<br />

and collective concepts included in the model.<br />

41


SWY NOTES<br />

1.<br />

2.<br />

3.<br />

4.<br />

5.<br />

6.<br />

Gaps in existing conceptual models include:<br />

lack of an adequate characterization of the dynamic development<br />

of the drainage system in a basin;<br />

lack of identification of the relative importance and physical<br />

significance of soil moisture storage concepts;<br />

lack of description of depositional processes in microdrainage<br />

systems; and<br />

insufficient emphasis on the role of large storms (year-to-year<br />

and storm-to-storm hydrologic differences often account for<br />

larger variations in sediment yield than most other factors!)<br />

Although plot studies have contributed information about factors<br />

influencing soil loss and runoff, the lack of statistical rigour<br />

in the design of these studies makes it difficult to interpret<br />

.ind/or use the results in a quantitative manner.<br />

?imple extrapolation of plot results to larger areas (often implied<br />

by the units used for reporting soil loss, i.e. tons/acre) is not<br />

valid.<br />

As plot data are of more qualitative than quantitative value, the<br />

use of them as a base for quantitative deterministic models of land<br />

use effects is questionable.<br />

Plot studies have not delineated sources of soil loss and associated<br />

land use effects.<br />

Land use effects inferred from time-oriented stream sediment sampling<br />

programs may be in error both qualitatively and quantitatively.<br />

lxisting watershed modelling approaches - although convenient - have<br />

not resolved our lack of understanding of erosion and transport<br />

processes, and of the effect of land use changes on these processes.<br />

Neither the plot nor the watershed approaches have addressed the<br />

problem of erosion sources or the problems of delivery and deposition<br />

between sources and downstream locations. In order to understand the processes<br />

and to draw meaningful conclusions about land use effects, focus must<br />

be given to sources and movement from sources to outlet. Event-oriented<br />

sampling studies from sources downstream, and @e application of dynamic<br />

contributing area concepts appear to be two of the most promising new approaches<br />

to the problem.<br />

Ackerman, W. C., and K. L. Corinth, (1962). An Empirical<br />

Equation for Reservoir Sedimentation. Publication 59,<br />

<strong>International</strong> Association of Scientific Hydrology, <strong>Commission</strong><br />

of Land Erosion. pp. 359-366.<br />

42


Adams, J. E., R. C. Henderson, R. M. Smith, (1959). Interpretations of<br />

Runoff and Erosion from Field Scale Plots on Texas Blackland<br />

Soil. Soil Sei. x, pp. 232-238.<br />

American Society of Civil Engineering, (1975). Sedimentation<br />

Engineering. (ed.) V. A. Vanouri. ASCE, Manuals and Reports<br />

on Engineering Practice. No. 54.<br />

Anderson, H. W., (1949). Flood Frequencies and Sedimentation from<br />

Forest Watersheds. Transactions, American Geophysical Union,<br />

- 30, (4), Washington, D. C., pp. 567-583.<br />

Archer, R. J., (1960). Sediment Discharge of Ohio Streams During<br />

Floods of January-February 1959. Ohio Department of Natural<br />

Resources, Division of Water, Columbus, Ohio.<br />

Baird, R. W., (1964). Sediment Yields from Blackland Watersheds.<br />

Transactions, American Society of Agricultural Engineers, 1.<br />

(4), St. Joseph, Michigan, pp. 454-456.<br />

Barnett, A. P., J. S. Rogers, J. H. Holladay, A. E. Dooley, (1965).<br />

Soil Erodibility Factors for Selected Soils in Georgia and<br />

South Carolina. Trans. Am. SOC. Agric. Engr., 2, pp. 393-395.<br />

Barnett. A. P., J. S. Rogers, (1966). Soil Physical Properties<br />

Related to Runoff and Erosion from Artificial Rainfall.<br />

Ibid. 2, 123-125 and 128.<br />

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Universal Equation. Journal of the Hydraulics Division, ASCE,<br />

- 98, (HYlZ), Proc. Paper 9426. pp. 2087-2098<br />

Wilson, L., (1972). Seasonal Sediment Yield Pattern of U.S. Rivers,<br />

Water Resources Research, 8 (6), pp. 1470.<br />

Wilson, L., (1973). Variation in Mean Annual Sediment Yield as a Function<br />

of Mean Annual Precipitation, Am. Jour. of Sci. (in Press).<br />

273, (4). pp. 334-349.<br />

61


Wiltshire, C. R., (1947). Runoff Plots and Standard Runoff and Soil<br />

Loss Measuring Equipment Used by the New South Wales Soil<br />

Conservation Service. J. Soil Conserv. Serv. N.S.W., 3,<br />

pp. 171-178.<br />

Wiltshire, C. R., (1948). The Measurement of Runoff and Soil Loss from Plot<br />

Experiments. u. ft, pp. 40-44.<br />

Wischmeier, W. H., (1960). Cropping-Management Factor Evaluations for<br />

a Universal Soil Loss Equation. Soil Sci. SOC. Am. Proc., 26,<br />

pp. 322-326.<br />

Wischmeier, W. H., (1959). A Rainfall Erosion Index for a Universal<br />

Soil Loss Equation. Soil Sci. SOC. Am. Proc., 2, pp. 246-249.<br />

Wischmeier, W. H., (1966). Relation of Field-Plot Runoff to Management and<br />

Physical Factors. H. 2, pp. 272-277.<br />

Wischmeier, W. H., D. D. Smith, (1958). Rainfall Energy and its<br />

Relationship to Soil Loss. Trans. Am. Geophys. Un., 3, pp.<br />

285-291.<br />

Wischrneier, W. H., D. D. Smith, R. E. Uhland, (1958). Evaluation of<br />

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62


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Hydrology, Tuscon, Arizona, August 29-September 2, 1971, USDA<br />

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801-814.<br />

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Urbana, Illinois.<br />

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Maryland, U.S. Geol. Survey, Journ. of Research, 2,(4),<br />

pp. 487-494.<br />

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Transport in Bel Pre Creek Basin, Maryland; U.S. Geol. Survey<br />

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Montgomery County, Maryland; Progress Report Rock Creek Anacostia<br />

River Basin, U.S. Geol. Survey Open file Report, p. 39.<br />

63


Young, R. A., C. K. Mutchler, W. H. Wischmeier, (1964). Influence of<br />

Row Direction and Type of Vegetal Cover on the Slope-Soil Loss<br />

Relationship. Trans. Am. SOC. Agric. Engr., 2, pp. 316-317 and 320.<br />

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Slopes, Water Resources Research, 5(5), pp. 1084-1089.<br />

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Detachment and Transport. Water Resources Research, 9(6),<br />

pp. 1629.<br />

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Translated from Erozja, Panstwowe Wydawnictwo Rolnicze i<br />

Lesne, Warszawa.<br />

Zingg, A. W., (1940). Degree and Length of Land Slope as it Affects<br />

Soil Loss in Runoff. Agricultural Engineering, 3, pp.<br />

59-64.<br />

Zingg, A. W., (1941). Soil Movement Within the Surface Profile of Terraced<br />

Lands Unpublished report, U.S. Dept. of Agriculture, Soil<br />

Conservation Service.<br />

64


DISCUSSION<br />

Dr. C. Nordin: I have a comment on your remarks about sediment monitoring.<br />

About forty years ago the Federal Agencies in the United States set up the<br />

interagency sedimentation group to look at sampling problems and to standardize<br />

the methodology in the equipment. The geological survey was quite<br />

heavily involved in this. Paul Benedict, and Bruce Colby in particular<br />

did very extensive work back in the 30's and 40's. At that time they recognized<br />

that sediment sampling had to be event-based; that most of the sediment<br />

could be carried in a single event during the year or at very irregular<br />

intervals. They developed equipment to sample this and methodologies that<br />

give you a very good sample. Now people are not monitoring sediment properly.<br />

It is for one of two reasons: either they don't know what they are doing<br />

and they are unwilling to read the literature, or they are unwilling to<br />

spend the money to do it right. But these things have been known for four or<br />

five decades.<br />

Dr. T. Dickinson: Well, I can only agree with you Carl. I think it is a<br />

good point. Some of these things have been known for years and years, but I<br />

only know that, for instance in Canada, we have not been sampling sediment<br />

for very long. The measurement techniques are known and they are used. In<br />

many cases they are not used well. Now, whether it is because people are not<br />

taking the time to use them well or don't know the appropriate mechanism, I<br />

am not sure. I don't want to go into the detail, but I agree with you that<br />

some of that methodology, or much of is it, already known if we just make<br />

good use of it. I suggest that particularly in small watershed studies<br />

where the events can be very, very short, people are not making the best<br />

use of it and I must say too, that in the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

studies, there is a lot of experimentation in doing it and trying to a do<br />

better job. I am not openly criticizing all studies, but I do say many of<br />

the data we have on some of the basins need to be interpreted carefully.<br />

If one looks at the sampling frequency and looks at how they were taken, we<br />

better acknowledge just how that was done and interpret the results accordingly,<br />

and very often the sampling frequency in just time is not anywhere<br />

near where it has to be to give us meaningful results.<br />

Dr. D. Wazling: Just a general comment that concerns the possibility of<br />

using turbidity measurements for documenting sediment output from drainage<br />

basins. One of the traditional views is to dismiss these immediately<br />

and say they have got far too many problems associated with them, I have but<br />

in fact experimented with these in England, and if one uses them for specific<br />

catchment and carries out detailed calibration procedures it seems to me<br />

that they will work and they do provide a very useful means of getting a<br />

continuous record of sediment concentration. The point I really want to<br />

get at is that if one takes that continuous record as being a worthwhile<br />

continuous record, it is extremely interesting to compare individual sampling<br />

programs with a continuous record. When you start to work out error<br />

functions of what individual programs would give compared to what a continuous<br />

record would give, then is it absolutely staggering the errors that<br />

could be creeping in. And I really want to support your point, you could be<br />

4 or <strong>50</strong>0% out with the figures when you compare them with the continuous<br />

record.<br />

65


Dr. T. Pickinson: Two comments. One: we have taken a look at this.<br />

We have been able to find no good relationship on the basins we are<br />

working on right now between turbidity and suspended load that we could<br />

use in a quantitative way. But I quite agree with you that it is a convenient<br />

way. One thing we found convenient about it is that it may be a<br />

way of identifying sources. In other words you can set them up and run them<br />

continously in a number of places in a basin, and at least begin to identify<br />

when there is load coming out of particular areas versus when there is no<br />

load coming out of certain areas; even if we can't say how much load is<br />

coming from here versus how much is coming from there. We have real difficulty<br />

making that step because we have done this in where places we got<br />

measurements. Certainly as an index of helping us sort out sources, we are<br />

finding it very convenient in a couple of the basins.<br />

Dr. D. Simons: I would simply like to make the point in addition to what<br />

has been stated that as we monitor small watersheds, plots, large watersheds;<br />

the data collection, the instrumentation, so and forth require a lot<br />

of time, a lot of amendments of effort. It is expensive and I do think that<br />

it is probably timely to mention that we should take every opportunity to<br />

utilize the physically-based models to determine what the data needs are. I<br />

think in many instances where we are going out and instrumenting watersheds<br />

and plots, we may be gathering data that are trivial OK we may be gathering<br />

during times when they are not important. By utilizing these models and<br />

carrying out sensitivity analyses, I think we can in the future better design<br />

to meet our real data needs to do a better job; get more back for the money<br />

spent in the effort.<br />

Dr. T. Lsickinson: I would certainly agree. I think that the models can be<br />

a great help and play a great learning part and it may be a way of efficiently<br />

spending the dollars we have to try and reach some of the problems faster.<br />

Dr. L. HetZing: Following your talk and the subsequent discussion, I see<br />

three different areas where additional study or research resources could be<br />

put:<br />

1. Modeling and process development including laboratory and/or<br />

field studies directed to the understanding of actual processes.<br />

2. Field measurements over a variety of watersheds directed towards<br />

increasing OUT data base on actual sediment movement.<br />

3. Development of measurement techniques directed towards improving<br />

accuracy and lowering cost. The annual cost of a sediment measurement<br />

station is now $10,000 to $15,000.<br />

Which of these three areas, given $10,000 or $100,000 or $1 million,<br />

would be the best investment considering the present state of the art.<br />

66


Dr. T. Dickinson: I think that is one of the purposes of this workshop. I<br />

think we have got to do them all and I agree you can not do them all on one<br />

particular basin. But hopefully in some of these broader projects like the<br />

IJC one, there is room for some to be done on each one to try to learn from<br />

each one, to complement the other. I think that is the stage we are at. I<br />

don't think we are at the stage where we can say "let's put all our money in<br />

one bag". That begs the question, but I think that is where we are, because<br />

we must have more data to make sense, but on the other hand we have got to<br />

look at some of the processes. I guess the problem I have, is that in terms<br />

of processes 1 think we may have to study them in the field, and in particular<br />

field conditions. At least I think in some cases we have got to do more of<br />

that before we can even go into the laboratory to model them because I am<br />

not sure we even know quite how to set up the laboratory model for the field<br />

situation we want to model. I think that in the laboratory the time scale<br />

we can use is one of the advantages, but we had better find out really what<br />

is the time scale of changes in the field before we go into the laboratory<br />

to try to sort some of that out. I think we have got to do a little bit of<br />

all of it and hopefully in looking at all the resources in the area as a<br />

pool we can come up with a balance that is meaningful, and avoid some of<br />

the pressures that suggest haste and "so and so down the road is doing that".<br />

In fact if "so and so down the road is doing that", we better do something<br />

else and learn in that way.<br />

Dr. E. &gley: I have to draw this session to a close as far as my participation<br />

is concerned. I wish to offer one comment which I would like a<br />

number of you who I know have been working on the relationships between<br />

specific kinds of land use and their effects upon water quality to consider.<br />

If I synthesize correctly what you have said Trevor (Dickinson), in general<br />

our ability to use existing data generating techniques is not sufficiently<br />

discriminatory to enable a distinction to be made amongst various land uses.<br />

I know at least two of you, and I am sure there are many more in this room.<br />

who have done very specific work on attempting to discriminate in terms of<br />

water quality and up-stream land uses, and I would like you to think about<br />

this because it is a question that is going to come out in the working sessions.<br />

67


INTRODUCTION<br />

Anthropogenic Influences of Sediment Quality at a Source.<br />

Pesticides and PCBs<br />

R. Miles<br />

Environmental studies at the London, Ontario, Research Institute of<br />

Agriculture Canada have included investigations of the pollution of streams<br />

and water systems by insecticides used in agriculture. We have analysed<br />

soils in the stream basins, water, suspended sediment, bed load, bed material<br />

and fish for insecticide residue content. In this report I shall discuss the<br />

concentrations of insecticides found in soil and on the various sediments,<br />

the conversion of DDT to its metabolites on sediments, and the relation of<br />

water solubility to insecticide adsorption onto sediments. We studied Big<br />

Creek, Norfolk County, Ontario, which drains 280 square miles including an<br />

important tobacco growing area, and the water system draining the 7,<strong>50</strong>0 acre<br />

Holland Marsh; an intensively cultivated vegetable muck area about 30 miles<br />

north of Toronto. To compare insecticide residues from the two areas in: (a)<br />

soil, (b) suspended sediment, and (c) bed material, samples from Big Creek<br />

contained 4.0, 0.11, and 0.026 ppm DDT, respectively; while corresponding<br />

values from Holland Marsh were 8.0, 29, and 0.30 ppm.<br />

DISCUSSION OF RESULTS<br />

An important sediment is the bed load - the shifting mass of sediment<br />

and detritus which we sampled using a Bogardi Bed Load Sampler. Residues of<br />

total DDT, dieldrin and endosulfan (Thiodan) found in bed material and bed<br />

load of Big Creek in 1973 are listed in Table 1. With one exception (August<br />

14th) the concentrations on the bed load were several times greater than the<br />

concentrations in the bed material. This means that benthic fish and crustaceans<br />

may be exposed to much mre insecticide residue than would be indicated<br />

by analysis of bed material alone.<br />

DDT converts to its metabolite DDE by splitting off HC1. This<br />

conversion to DDE is generally associated with enzyme dehydrochlorination in<br />

insects, mammals and fish. DDT conversion to another metabolite DDD is a<br />

reductive dechlorination and is reported to be favoured by anaerobic conditions.<br />

The ratio of metabolite to parent DDT is a measure of the degradation<br />

of the insecticide residue. In Holland Marsh bed material DDE/DDT<br />

increased from 0.2 (April) to 0.8 (September) in 1972 and from 0.2 (April) to<br />

1.4 (September) in 1973. DDD/DDT increased from 1.6 (April) to 6.7 (September)<br />

in 1972 and from 2.6 (April) to 13.0 (October) 1973. Water is pumped from<br />

the marsh drainage ditch depending on water levels, and very little pumping<br />

occurs during the summer after June. It would appear from the above results<br />

that in the quiet water of the drainage ditch the microorganisms are able to<br />

convert DDT to its metabolites during the period from spring through to<br />

69


autumn. Both DDD and DDE are much less toxic to mammals than the parent DDT<br />

(acute oral LD<strong>50</strong> to male rats > 4,000, 880 and 200 mg/kg respectively) so<br />

the above degradation is a lessening of overall toxicity of DDT residues<br />

although DDE is blamed for the thin eggshell syndrome in birds.<br />

Sediment must require considerable time to move along the of a bed<br />

stream from source to mouth and we theorized that microorganisms would be<br />

able to convert some DDT to its metabolites during the time the sediment<br />

moved downstream in Big Creek, a distance of about 30 miles. We sampled bed<br />

material at 6 locations on the same day over this distance in 1972 and DDE/<br />

DDT increased from 0.2 (upstream) to 1.5 (stream mouth), while DDD/DDT<br />

increased from 0.1 (upstream) to 2.0 (stream mouth). Thus the ratio DDD/DDT<br />

in residues in the bottom sediment increased 20 times in samples from upstream<br />

to the stream mouth! A similar study in 1973 produced the same trend but not<br />

to as significant a degree. Again this represents a considerable reduction<br />

in overall DDT mammalian toxicity.<br />

In analysing water samples for insecticide residue content it is<br />

our normal practice to analyse the whole water sample including suspended<br />

sediment. To determine the amount of insecticide adsorbed on suspended<br />

sediment we filter companion samples and analyse the filtered sediment.<br />

Averaging a large number of samples from Big Creek and Holland Marsh we found<br />

the per cent of the whole warer analysis which was adsorbed on the sediment<br />

to be 61% average for DDT (30-93% range) and 15% average for dieldrin (3-42%<br />

range). These values are in agreement with the water solubility of these<br />

compounds (0.0012 ppm for DDT and 0.186 ppm for dieldrin). In the Holland<br />

Marsh water samples, diazinon (an organophosphorus insecticide) was present<br />

at concentrations greater than the dieldrin but no diazinon was found adsorbed<br />

onto the sediment. These data also agree with the water solubility value (40<br />

ppm) for diazinon. Our laboratory adsorption experiments verify these findings,<br />

i.e. that the more water soluble the chemical, the less it is adsorbed onto<br />

the sediments.<br />

In summary, we have found significantly different insecticide<br />

residue concentrations in soil, suspended sediment, bed load and bed material.<br />

We have noted the conversion on sediment of DDT to its less toxic metabolite<br />

DDD and also to DDE. And we suggest that we might have quite different<br />

environmental pollution with insecticides in the future - the sedimentassociated<br />

organochlorine insecticides settle into the bed material of bays<br />

when a stream enters the receiving lake, but the water-soluble organophosphorus<br />

insecticides which persist will continue on with the water to become widely<br />

distributed in the lake.<br />

70


1973<br />

June 26<br />

July 10<br />

August 14<br />

September 15<br />

October 2<br />

TABLE 1.<br />

INSECTICIDE RESIDUES IN BED MATERIAL AND BED LOAD,<br />

BIG CREEK, NORFOLK COUNTY, ONTARIO (PARTS PER BILLION)<br />

Total - DDT<br />

Bed Mat. Bed Load<br />

30 198<br />

26 45<br />

27 21<br />

35 100<br />

18 30<br />

Dieldrin<br />

Bed Mat. Bed Load<br />

1 6<br />

1 4<br />

2 1<br />

1 8<br />

1 2<br />

18 62 October 16


INTRODUCTION<br />

Anthropogenic Influences of Sediment Quality at a Source.<br />

Pesticides and PCBs<br />

R. Frank<br />

Between 1974 and 1976 samples of suspended solids were collected<br />

at the river mouths of those watercourses on the Canadian side of the Great<br />

Lakes that del.ivered at least 0.5% of the water contributed to that lake by<br />

Canadian land drainage. The suspended solids were removed from stream water<br />

during the high flows in spring by centrifugation and freeze drying. The<br />

field work was carried out by staff of the Canada Centre for Inland Waters,<br />

under PLUARG study Task D. Many suspended solids have still to be<br />

analysed and the findings given herein must be treated as preliminary.<br />

RESULTS<br />

Around Lake Ontario 34 of 53 streams sampled were analysed for<br />

pesticides; along Lakes Erie and St. Clair the number was 14 of 24 streams;<br />

along Lake Huron it was 9 of 21 streams (1974), and 5 of 48 streams (1975),<br />

and along Lake Superior it was 5 of 45 streams.<br />

DDT and/or its metabolites were present in all samples. Mean<br />

residues in 1974 were 138 and 160 ppm in suspended solids entering Lakes<br />

Ontario and Huron, while in 1975 residues were considerably lower at 34.0,<br />

2.9 and 2.3 ppb, respectively, on suspended soljds entering Lakes Erie, St.<br />

Clair, Huron and Superior, In 1974 the largest component in the CDDT was the<br />

parent compound DDT, but in 1975 the largest component was DDE.<br />

Dieldrin was present in <strong>50</strong> and 9% of samples collected at river<br />

mouths along Lakes Ontario and Huron in 1974; these contained mean residues<br />

of 1.5 and 0.2 ppb respectively. All suspended solids entering Lakes Erie-<br />

St. Clair (1975) contained dieldrin; the mean residue being 3.6 ppb. Mean<br />

residues were 0.4 and 0.2 ppb dieldrin in solids entering Lakes Huron and<br />

Superior and were detected in 80% of samples.<br />

Endosulfan was present in 19% of suspended solids entering Lake<br />

Ontario (mean residue 2.3 ppb) but none entered Lake Huron in 1974. In 1975,<br />

endosulfan was present on 79%, 80% and 40% of suspended solids entering Lakes<br />

Erie - St. Clair, Huron and Superior; at the respective mean concentrations<br />

of 5.5, 0.8 and 0.4 ppb.<br />

Heptachlor epoxide and chlordane were not detected on suspended<br />

solids entering Lake Ontario or Lake Huron in 1974 to a limit of 0.5 ppb.<br />

Heptachlor epoxide was present in <strong>50</strong>%, 40% and 20%, respectively, of suspended<br />

solids entering Lakes Erie - St. Clair, Huron and Superior in 1975. The<br />

respective mean residues were 1.2, 0.2 and


Organophosphorus insecticides were not found in any suspended<br />

solids over the two year period to a limit of 1-10 ppb.<br />

PCBs were present in all suspended solids over the 2-year period.<br />

The highest concentrations were in those entering Lake Ontario (194 ppb) and<br />

Lake Huron (84 ppb) in 1974. Mean concentrations were 60, 20 and 20 ppb,<br />

respectively, in 1975 in solids entering Lakes - Erie St. Clair, Huron and<br />

Superior.<br />

A few samples were analysed for HCB in 1974. Two of nine samples<br />

entering Lake Ontario contained HCB at 5 ppb. No HCB was found in two<br />

samples analysed from streams flowing into Lake Huron.<br />

There were enough samples in 1974 to analyse suspended solids<br />

entering Lake Ontario and Lake Huron for s-triazines. None of those streams<br />

flowing into Lake Huron contained s-triazines and 3 only of 34 contained<br />

detectable levels of s-triazines entering Lake Ontario. The mean residue<br />

of the 3 samples was 510 ppb. There was insufficient sample in 1975 to do<br />

s-triazine analyses and more sample is being obtained.<br />

A few streams in Lakes Ontario and Erie - St. Clair were sampled at<br />

monthly intervals throughout the year. Both IDDT and PCB varied greatly trom<br />

month-to-month. This was especially the case among suspended solids from<br />

streams entering Lake Ontario (1974). On the other hand the same parameters<br />

showed only small differences in 1975 from Lakes - St. Erie Clair and Huron.<br />

CONCLUSION CCMNTS<br />

This report is intended to be only preliminary and a more exact<br />

interpretation will have to await completion of analysis and calculations of<br />

actual amounts of pesticide and pollutants being carried to the Great Lakes<br />

by streams.<br />

14


U<br />

VI<br />

Table 1. Pesticides in Suspended Solids Collected at the Mouths of Rivers and Streams on the Canadian Side<br />

of the Great Lakes<br />

Contaminant 1<br />

Samples<br />

Analysed<br />

ZMT<br />

Dieldrin<br />

Endosulfan<br />

Hept. Epox.<br />

Chlordane<br />

PCB<br />

Ontario<br />

(1974)<br />

53<br />

34<br />

34<br />

138<br />

2-2380<br />

18<br />

1.5<br />

0-6<br />

6<br />

2.3<br />

0-35<br />

0<br />

0<br />

34<br />

194<br />

2-1800<br />

Erie 6 St.<br />

Lakes<br />

Clair Huron<br />

Superior<br />

(1975)<br />

(1974) (1975) (19<br />

24<br />

14<br />

14<br />

34<br />

1.1-115<br />

14<br />

3.6<br />

0.5-13.8<br />

11<br />

5.5<br />

0.0-18.3<br />

7<br />

1.2<br />

0.0-3.6<br />

12<br />

2.9<br />

0.0-20.0<br />

14<br />

60<br />

10-330<br />

21<br />

9<br />

8<br />

160<br />

0-1330<br />

1<br />

0.2<br />

0.0-2.0<br />

0<br />

-<br />

-<br />

0<br />

0<br />

9<br />

84<br />

20-370<br />

48<br />

5<br />

5<br />

2.9<br />

1.4-5.2<br />

4<br />

0.4<br />

0.0-1.5<br />

4<br />

0.8<br />

0-4.3<br />

2<br />

0.2<br />

0.0-0.6<br />

4<br />

0.8<br />

0.0-1.0<br />

'No organophosphorus insecticides found in any suspended solids.<br />

HCB present in 2 of 9 samples from L. Ontario - mean 1.1 ppb, range 0-5 ppb, absent in 2 samples from L. Huron.<br />

Atrazine in 3 of 34 samples in L. Ontario - mean 45 ppb, range 0-1110 ppb. No atrazine in 9 samples from L. Huron (1974).<br />

5<br />

20<br />

8-30<br />

5<br />

5<br />

2.3<br />

1.0-4.1<br />

4<br />

0.2<br />

0.0-0.4<br />

2<br />

0.4<br />

0.0-2.0<br />

1<br />


I<br />

TABLE 2.<br />

Lakes DDE TDE<br />

Lake Ontario (1974)<br />

Lake Huron (1974)<br />

Lake Huron (1975)<br />

COMPONENTS OF CDDT FOUND IN SUSPENDED SOLIDS COLLECTED<br />

AT THE MOUTHS OF RIVERS AND STREAMS ON THE CANADIAN SIDE OF THE<br />

GREAT LAKES<br />

Lakes Erie & St. Clair (1975)<br />

Lake Superior (1975)<br />

54<br />

38<br />

8.0<br />

1.4<br />

1.7<br />

76<br />

Content in suspended solids (ppb)<br />

20<br />

14<br />

6.4<br />

0.6<br />

0.5<br />

”<br />

OPDDT I P~DDT I CDDT


DISCUSSION<br />

Mr. J. CuZbertson: On the first half of the discussion, one of the tables<br />

indicated 59 and 62% of the insecticide was found on the sediment. How much<br />

sediment was this on? Did you determine the mass or surface area or Of Size<br />

these sediments?<br />

Dr. R. Miles: These are very low sediments, all less than 100 milligrams<br />

per litre. Some of them are very small, around 10 milligrams per litre. Does<br />

that answer your question?<br />

Mr. J. CuIbertson: The major point was, what was the mass of the material<br />

associated with this percent?<br />

Dr. R. Miles: I think I had that on one of the first slides, where we had<br />

parts per billion level of DDT on the suspended sediment, and I as say this<br />

suspended sediment was in the very low milligrams per litre. Now that table<br />

you asked about was the percent of the insecticide of whole the water sample<br />

that was absorbed on the sediment. We used the whole water sample in correlation<br />

with flow data that we have from Water of Survey Canada, and we<br />

actually measured the pounds of DDT. We calculated them out in weekly progression<br />

through the season and we have a paper on that with nutrients and<br />

insecticides from Big Creek that is in press. The weights are in grams per<br />

year, even some of the insecticides. It does not sound very dramatic, but<br />

the concentrations in the water in the streams are still greater than the<br />

recommendations by the EPA in the States. We have quantified them on the<br />

basis of the whole water samples or with the flow-data.<br />

Dr. E. GngZey: On the table where you showed the downstream increasing<br />

conversion of DDT to DDE and DDD this is, as I understand it, taken on the<br />

bed load or on the suspended solids fraction? I was not quite sure about<br />

that.<br />

Dr. I?. Miles: It was on the title as "Bed Material". That was bed material<br />

which we figured would take a considerable time work to down. It probably<br />

only gets moved during storm events, say, but we figured that the microorganisms<br />

in the bed material would have a longer period of work time on to<br />

the substrate as it moved downstream.<br />

Dr. E. Ongtey: Would it be correct to say that most of this would be asso-<br />

ciated with the fine fraction<br />

- the clay sized fraction?<br />

Dr. R. Miles: In Big Creek there is no real clay. Mostly gravel 1111 sand.<br />

The clay would come up in the Holland Marsh where there is a hea\ Idy


underlay under the bed material. It is a little difficult to characterize up<br />

there. The bottom mud does not get incorporated down with the clay. It<br />

forms its own bed material, the solid mass as opposed to the shifting bed<br />

load above that.<br />

Dr. E. Ongley: In your opinion we should not then perhaps restrict ourselves<br />

to looking at merely the fine sediment fraction, if we are looking at sediment<br />

quality, which is a statement that has been made earlier.<br />

Dr. R. Miles: Maybe I didn't make that point clear. The point of the bed<br />

load analyses was that the benthic fish and crustaceans are exposed to a<br />

higher concentration than you would appraise from a bed material analysis<br />

of the more permanent bed material. I think you can see, however, that there<br />

is a,considerable degradation and dilution from concentrations found in the<br />

soil. Also, with the large number of insecticides found in the soil, we are<br />

only finding a small proportion of them in the sediments.<br />

Dr. J. Weber: I have a comment. A lot of the grains of sand and coarser<br />

material are coated with fine clay particles and with fine organic substances.<br />

You can't really separate them. You may get a lot of the finer material<br />

associated with the coarser material in surface coverage.<br />

The question I have is that the analysis was on atrazine.<br />

This suggests that there is a lot of corn production. I was wondering if<br />

there was any soyabean production, if and so, had you analyzed for dinitroanilins?<br />

Dr. R. Frank: The only anilin that we have looked for is Arochlor.<br />

Dr. J. Weber: Arochlor would be an acid analid. I mean Trifluralin.<br />

Dr. R. Frank: No.<br />

Dr. J. Weber: The reason I ask is because I was also curious as to whether<br />

you had analyzed any of the sediments for some nitrosamine contaminants that<br />

have been found.<br />

Dr. R. Frank: One of the problems that we have been facing is that we only<br />

have five grams of sediment. Our first analysis is for the organochlorine<br />

group. If any sample is left we go to the triazine group. If any sample<br />

is still left we go to any other group. By then we have usually exhausted<br />

our sample.<br />

This is one of the problems we are up against. We need a<br />

system to obtain more sample. I understand that one would have to sit at the<br />

mouth of some of these streams for a month to get enough sample to do all the<br />

analyses. Perhaps Dr. Thomas could elaborate on this.<br />

70


Dr. H. Thomas: In order to investigate some of the points raised in this<br />

discussion, I should explain our procedures. We have gone up to the mouth of<br />

the Grand River with our sampling equipment. We sat there for eight hours,<br />

pumped some 4600 litres of water and recovered the solids. We have good<br />

recoveries of the solids in four size fractions. We have the associated<br />

water samples that we can supply for analysis.<br />

It is our intention to do more of this type of work. We want<br />

to fill in those samples where Dr. Frank did not have enough material. We<br />

intend to sample next spring (1977).<br />

The point that should be made is that we are not really<br />

discussing loadings in this context. We are having a look at concentrations<br />

of these materials, as they appear at the interface of the Lakes and rivers<br />

themselves.<br />

I think it is rather interesting if one looks at the organochlorines.<br />

We have done analyses on most of the residual samples from past<br />

sampling in the Great Lakes (Lake Erie, Lake St. Clair, Lake Ontario and<br />

presently Lake Huron. Lake Superior is yet to be done). This represents<br />

an enormous amount of work.<br />

Once you look at something that equates to a mass balance<br />

coming into, for example Lake Erie, one gets some shocks. Ralph Miles mentioned<br />

that in certain cases insecticides coming from these watersheds are<br />

in the grammes or kilogrammes range. Yet the amounts of these materials that<br />

are depositing in the open waters of the lakes are much higher and cannot be<br />

accounted for from these watersheds. When one looks at Lake Erie, the major<br />

impact is from the Detroit River. We know that there are not many pesticides<br />

or PCBs in Lake St. Clair. Yet once one looks at Western Lake Erie, the<br />

sediments are in terrible shape. Something is happening in that stretch of<br />

river that we have to investigate. It is a massive impact compared to a more<br />

minor impact from the watersheds themselves.<br />

Dr. R. Frank: I might just comment, that in the agricultural watersheds we<br />

are looking at a much wider range of parameters. We are not only doing that,<br />

but we are carrying field surveys to determine exactly how much material is<br />

going onto the land surface. Where we have a watershed that has got a big<br />

use of Trifluralin, we go back and look at the water in that watershed,<br />

instead of looking at it as monitoring and trying a to handle get on what is<br />

going on out there in the field and then trying to determine what is present.<br />

This is being done.<br />

Dr. J. Weber: If you took samples of the bottom deposits, has anyone sampled<br />

the concentration of the chemicals in the deposits with depth? You say DDT<br />

is decreasing with time, surely then, that means DDT the found deeper might<br />

be in higher concentrations, unless it is degraded and in that case you would<br />

find metabolites.<br />

Dr. R. Thomas: Well I think that is a function of the ability to sub-sample<br />

a sediment core with the resolution you are talking about. For example, in<br />

many lakes one centimetre would represent approximately 10 years of accumulation.<br />

You have to wait a long time to see any decline. But if you go back up<br />

through a core looking for PCBs, we have quite a nice picture in Lake Erie.<br />

It starts to appear quite strongly around 1955.<br />

79


Dr. H. Pionka: Were these sediments primarily organic? Were they very high<br />

in organic matter?<br />

Dr. I?. Thomas: We have measured total organic carbon in the suspended samples<br />

and I must confess I was very surprised indeed. I was anticipating high<br />

organic content. This is not the case. We are running up to orders of 7%<br />

organic carbon which is not high if you look in the Bay of Quinte in the Great<br />

Lakes. You are up over 20% organic carbon in samples from that area, so these<br />

are very low in organic matter.<br />

80


INTRODUCTION<br />

Anthropogenic Influences of Sediment Quality at a Source<br />

Nutrients: Carbon, Nitrogen and Phosphorus<br />

M. Miller<br />

Crop production practices have a marked influence on the amount of<br />

sediment eroding from farm fields. They may also have a marked influence on<br />

the nutrient concentration on the sediment either by altering the physical<br />

characteristics of the sediment or by altering the nutrient content of surface<br />

soil and hence of sediment.<br />

ALTERATIONS IN PHYSICAL CHARACTERISTICS OF SEDIMENT<br />

The erosion process is selective that in sediment generally contains<br />

a larger proportion of finer particles and organic matter than does the<br />

source soil. The nutrients carbon, nitrogen and phosphorus are in higher<br />

concentrations in the finer particles. This is demonstrated for phosphorus<br />

in Figure 1 in which the ratio of the phosphorus content of soil fractions to<br />

that of the total soil (P enrichment ratio) is related to the maximum particle<br />

size included in the fraction. The fact that the phosphorus enrichment<br />

in runoff sediment is related to enrichment in clay and organic matter content<br />

is also demonstrated in Table 1.<br />

Any management practice which tends to reduce the carrying capacity<br />

of the runoff water will tend to reduce the mean particle size of the sediment<br />

and hence will tend to increase the nutrient concentration on the sediment.<br />

Tillage practices can affect the runoff velocity through its effect on surface<br />

roughness, degree of incorporation of plant residues etc. Table 2 illustrates<br />

the effect of three tillage practices on the nutrient concentration in the<br />

sediment from simulated rainfall.<br />

Romkens, &. , (1973) states that "differences in the N and P<br />

concentrations in runoff sediment between tillage systems are primarily due<br />

to selective soil erosion.... Ridges across slope and/or corn residue on the<br />

soil surface act as sediment traps and natural barriers to surface runoff".<br />

Thus management practices which reduce sediment loss probably will<br />

not reduce the nutrient loss proportionately.<br />

ALTERATIONS IN NUTRIENT CONTENT OF SIRFACE SOIL AND HENCE OF SEDIMNT<br />

Carbon<br />

Crop production generally reduces the organic matter content of the<br />

surface soil. Because organic matter is critical in maintaining stable soil<br />

structure, a reduction leads to increased sediment loads in runoff from<br />

agricultural lands.<br />

81<br />

t


a2<br />

0<br />

m<br />

N<br />

Ln<br />

0<br />

N<br />

0


I<br />

Dependent Variable I<br />

TABLE 1<br />

PHOSPHORUS ENRICHMENT OF SEDIMENT FROM RUNOFF PLOTS<br />

AT GUELPH, ONTARIO AS A FUNCTION OF ENRICHMENT IN<br />

CLAY AND ORGANIC MATTER<br />

(6 EVENTS FROM 6 PLOTS - 1973-1975)<br />

Independent Variables I R2<br />

P Enrichment Clay Enrichment<br />

(Cl. Enrich. )<br />

Org. Mat. Enrichment<br />

(Org. Mat. Enrich. )<br />

0.61*<br />

0.64<br />

0.69<br />

0.70<br />

* R' - proportion of the variability in P enrichment accounted by for<br />

regression including this independent variable and all others<br />

preceding it in the table.<br />

Tillage<br />

Chisel<br />

Coulter<br />

Conventional<br />

TABLE 2<br />

EFFECT OF TILLAGE SYSTEM ON RUNOFF AND NUTRIENT<br />

CONTENT OF SEDIMENT<br />

(FROM ROMKENS. NELSON AND MANNERING, 1973)<br />

Runoff<br />

( cm)<br />

3.81<br />

4.39<br />

5.56<br />

1.68<br />

1.87<br />

24.74<br />

83<br />

I 1147<br />

2022<br />

1278<br />

616<br />

387<br />

308


Although it is difficult to increase the organic matter content of<br />

the surface soil on a sustained basis, temporary increases may occur from<br />

heavy applications of manure or sewage sludge, if they are not incorporated.<br />

Runoff from such fields would have a markedly higher carbon content, both in<br />

solution and in suspended particles during initial runoff events following<br />

application. Later runoff events would exhibit much lower differences as<br />

illustrated by the data in Table 3.<br />

Nitrogen<br />

Because nitrogen in soil is, for the most part, associated with the<br />

organic matter, the nitrogen and carbon contents of sediment will be closely<br />

related. Applications of fertilizer, manure or sewage sludge will temporarily<br />

increase the nitrogen content of surface soil. If these materials are applied<br />

to the soil surface during the late or fall winter and are not incorporated,<br />

the spring runoff will be appreciably higher in both dissolved and particulate<br />

nitrogen. If they are added at the times and rates most effective for crop<br />

production, there should be little increase in the nitrogen content of the<br />

runoff .<br />

Phosphorus<br />

The phosphorus content of the surface soil is modified by crop<br />

production practices to a much greater extent than either carbon or nitrogen.<br />

Most soils in the natural state are deficient in available phosphorus.<br />

Sustained production of high yielding crops requires that phosphorus be added<br />

to the soil to increase the available phosphorus level. This increases the<br />

total phosphorus content of the sediment and, perhaps more importantly it<br />

increases the labile phosphorus in particular. The influence of fertilizer<br />

phosphorus addition on the "extractable P" content of a soil is illustrated<br />

by the data in Table 4.<br />

Because phosphorus reacts in the soil to form only slightly soluble<br />

compounds, phosphorus applied to the surface is retained in the surface 1 to<br />

2 cm. thus increasing the available phosphorus content of this portion of the<br />

soil to a much greater extent than if the phosphorus were mixed throughout<br />

the plow layer (Table 5).<br />

The increase in "Extractable P" in the surface soil results in a<br />

similar increase in the "Extractable P" of the sediment and in the dissolved<br />

P concentration in the runoff water as illustrated by the data in 6, Tables 7<br />

and 8.<br />

The relation between dissolved P in runoff and the "Extractable P"<br />

in the sediment can be demonstrated €urther by data from runoff at plots<br />

Cuelph. For six runoff events from each of six plots during 1973-1975,<br />

"Extractable P" (0.5 N NaHC03) accounted for 55% of the variability in<br />

dissolved ortho-P in runoff. The data are plotted in Figure 2. It is<br />

apparent from Figure 2 that when manure is present on the surface, there is<br />

no relation between dissolved P and extractable P content on the sediment.<br />

However, in the absence of surface manure, the relationship is reasonably<br />

good.<br />

a4


I<br />

TABLE 3<br />

ORGANIC CARBON CONTENT OF SURFACE SOIL (0-1 CM)<br />

AND OF SEDIMENT FROM RUNOFF PLOTS AT GUELPH, ONTARIO<br />

%C<br />

Treatment Soil (0-1 cm) Sediment*<br />

No manure 1.78 2.52<br />

Manure** - on surface 1.98 2.77<br />

* Average of 9 runoff events 1973-1975<br />

** Applied each year since 1968 without incorporation<br />

TABLE 4<br />

THE INFLUENCE OF FERTILIZER P ADDITION ON "EXTRACTABLE P"<br />

CONTENT OF AN ONTARIO SOIL<br />

Fertilizer P Added<br />

(kg Plha17 yr)<br />

0<br />

75<br />

1<strong>50</strong><br />

300<br />

600<br />

* Extractable with 0.5N NaHCO 3'<br />

85<br />

"Extractable* P"<br />

(Pi? PIP)<br />

7<br />

9<br />

11<br />

20<br />

44


Depth<br />

( cm)<br />

0- 1<br />

1-2<br />

2- 3<br />

3- 4<br />

4-5<br />

5-7<br />

7-9<br />

9-11<br />

11-13<br />

13-15<br />

TABLE 5<br />

"EXTRACTABLE P" IN AN ONTARIO SOIL FOLLOWING<br />

YEARLY MANURE APPLICATIONS FOR 8 YEARS<br />

Manured<br />

Not incorporated<br />

110<br />

105<br />

95<br />

17<br />

63<br />

45<br />

31<br />

18<br />

17<br />

15<br />

* Extractable with 0.5 N NaHC03.<br />

TABLE 6<br />

Extractable P*<br />

Manured<br />

Plowed<br />

(Pg PIP)<br />

58<br />

52<br />

55<br />

47<br />

63<br />

68<br />

55<br />

65<br />

55<br />

45<br />

"EXTRACTABLE P" IN SOIL AND SEDIMENT AND DISSOLVED<br />

ORTHOPHOSPHATE CONTENT OF RUNOFF FROM PLOTS<br />

AT GUELPH, ONTARIO<br />

No<br />

Manure<br />

"Extractable P*"<br />

Soil (0-1 cm) Sediment** Dissolved**<br />

Ortho P in<br />

Treatment Range<br />

"-(~p/g) "-<br />

Manured - not incorporated 108 100-200 140<br />

Manured - plowed 57 <strong>50</strong>-95 63<br />

No manure 28 44-90 62<br />

* Extractable with 0.5 N NaHC03<br />

** Six storms 1973-1975.<br />

86<br />

(mgll)<br />

1.38<br />

0.56<br />

0.51<br />

28


I<br />

TABLE 7<br />

THE EFFECT OF PHOSPHORUS FERTILIZER APPLICATION ON<br />

"EXTRACTABLE P" IN SEDIMENT AND ON DISSOLVED ORTHOPHOSPHATE<br />

IN RUNOFF. (FROM ROMKENS AND NELSON - 1974)<br />

Extractable P* Dissolved Ortho P<br />

Fertilizer P Applied in Runoff in Sediment<br />

(kg/ha) (dg)<br />

(mg/U<br />

0<br />

56<br />

113<br />

14.6<br />

35.4<br />

57.6<br />

* Extractable by Bray P.l test (.03 N NHrF + .025 N HC1)<br />

TABLE 8<br />

0.07<br />

0.24<br />

0.44<br />

INFLUENCE OF METHOD OF FERTILIZER APPLICATION ON<br />

"EXTRACTABLE P" IN SEDIMENT (TIMMONS, BURWELL AND HOLT - 1973)<br />

Method of Application "Extractable PI'* in Sediment<br />

(VdP)<br />

No Fertilizer<br />

20<br />

Fertilized, plowed and disced<br />

20<br />

Plowed, fertilized and disced<br />

30<br />

85 Plowed, disced and fertilized<br />

* Extractable with Bray P. 1 test (.03 N NH4F + .025 N HC1)<br />

a7<br />

1


m<br />

2.0<br />

1.8<br />

1.6<br />

EL<br />

a - 1.2<br />

LC<br />

’c<br />

0<br />

c<br />

I<br />

.-<br />

c 0.8<br />

n.<br />

V<br />

al<br />

-<br />

2 0.4<br />

.-<br />

n<br />

0<br />

0. /<br />

a6b<br />

10<br />

0<br />

0<br />

0<br />

.<br />

1<br />

40 80 100 160 200<br />

Extractable P content of sediment<br />

(ppd<br />

0<br />

0 Surface Manure<br />

y = 0.029786~ - 0.000098~~ - 0.881201<br />

(r2 = 0.55)<br />

Figure 2: Relationship between NaHCO -extractable P of the sediment and dissolved P<br />

in the runoff at the exper?rnental plots in Guelph.<br />

0


From the above discussion it is apparent that application of<br />

phosphorus to soil will increase the labile P of the eroded sediment and also<br />

the dissolved orthophosphate of runoff water. However, when one attempts to<br />

relate dissolved orthophosphate in runoff to the Extractable P in the soil,<br />

the relationship is much less clear. The data presented in Figure 3 are from<br />

samples of runoff collected from farm fields in small two Ontario watersheds.<br />

The area in the field from which the runoff occurred was sampled and the<br />

"Extractable P" was determined. The data illustrates the marked effect of<br />

surface manure on the dissolved P levels. There is, however, no apparent<br />

relationship between dissolved P and extractable P in the soil, even when the<br />

samples from the manured fields are excluded. This is probably due, at least<br />

in part, to the variation from one runoff event to another in the degree of<br />

selectivity in the erosion process. The extractable P content will be greater<br />

in the finer soil particles. The degree of enrichment in clay and hence the<br />

enrichment of extractable P in the sediment will vary from one event to<br />

another as well as with management practices, it thus is not possible at this<br />

time to predict dissolved P in runoff directly from the extractable P level<br />

in surface soils.<br />

Profitable crop production requires that the available phosphorus<br />

level be increased in most soils which have not previously been fertilized.<br />

rhere is a level, however, above which no further economic increases in yield<br />

fill be obtained. This level varies from crop to crop. Generally, it is<br />

ligher for vegetable crops such as potatoes, and tomatoes, than for field<br />

:KO~S such as corn or barley. Thus soils that are used for vegetable crop<br />

xoduction are likely to have a higher available phosphorus content than are<br />

rhose used for field crop production. This is illustrated by data in Table<br />

3.<br />

There are a number of soil tests that can be used to determine the<br />

available phosphorus content of the soil and hence the fertilizer required<br />

€01- most profitable yield levels. They provide an effective tool to maintain<br />

the available phosphorus content of the soil at, but not above, the optimum<br />

level. This will assure continued production of high yielding crops while<br />

ninimizing the dissolved and total phosphorus content of runoff from agricultural<br />

fields.<br />

We must accept the fact that applications of nitrogen and phosphorus<br />

are essential to sustained production of profitable yeilds. To minimize the<br />

effects of these applications on the nitrogen and phosphorus content of<br />

runoff water we must improve our understanding of the nitrogen and phosphorus<br />

requirement of major crops and of fate the of nitrogen, particularly. when<br />

applied to the soil. This would allow us to better match the nutrient content<br />

of the soil to the needs of the crop, thus avoiding unnecessary levels<br />

in the soil and in runoff.<br />

We must also develop management systems which permit incorporation<br />

of manure and fertilizer into the soil rather than leaving them on the surface<br />

where they are much more subject to the erosional processes.<br />

a9


90<br />

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x c<br />

" C<br />

0 2 P<br />

0<br />

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n a<br />

m a<br />

u 3<br />

L L m<br />

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al<br />

0<br />

0<br />

M O L<br />

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0<br />

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V I L<br />

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m


TABLE 9<br />

"EXTRACTABLE P"* LEVELS IN ONTARIO SOILS<br />

IN RELATION TO CROP GROWN<br />

Crop Optimum Extractable P**<br />

Average Extractable P***<br />

Mixed grain<br />

Corn<br />

Tobacco<br />

Potatoes<br />

Soybeans<br />

Tomatoes<br />

(Llg/g) (ug/g)<br />

14<br />

20<br />

115<br />

60<br />

15<br />

60<br />

1 1<br />

* Extractable with 0.5 N NaHCO 3<br />

** Test beyond which no further P required<br />

*** Samples submitted to Ontario Soil Testing Laboratory. July 1, 1974 -<br />

June 30, 1975<br />

91<br />

I<br />

12<br />

18<br />

64<br />

41<br />

18<br />

34


I, TTEM TUHE Cl TED<br />

Romkens, M. J. M., D. W. Nelson and J. V. Mannering, 1973.<br />

Nitrogen and Phosphorus Composition of Surface Runoff as<br />

Affected by Tillage Method, J. Envir. Qual., 2, 292-295.<br />

Romkens, M. J. M., and D. W. Nelson, 1974. Phosphorus Relation-<br />

ships in Runoff from Fertilized Soils, J. Envir. Qual.,<br />

- 3, 10-13.<br />

Timmons, D. R., R. E. Burwell and R. F. Holt, 1973. Nitrogen<br />

and Phosphorus Losses in Surface Runoff from Agricultural<br />

Land as Influenced by Placement of Broadcast Fertilizer,<br />

Water Res. Research, 9, 658-667.<br />

92


DISCUSSION<br />

DP. 7'. Logan: I would like to make a comment. The comment is that I think<br />

we have to be very careful about the emphasis we on put soluble phosphorus<br />

values coming off small watersheds or plots. We have to keep in mind that<br />

the adsorption reaction of phosphorus on sediment is a very rapid process.<br />

I have been doing some thinking on this regarding some of those soils that<br />

are high in available phosphorus. There are some possibilities that may<br />

be happening. One possibility is that on those soils that have appreciable<br />

available phosphorus, we might be seeing for example dicalcium phosphate<br />

that will be dissolved as we get a dilution during the runoff process.<br />

This will produce some of the soluble phosphorus that you are seeing. On<br />

looking downstream, you may see a readsorption phenomenon.<br />

Dr. 7'. Dickinson: You mentioned looking ahead to suggestions for remedial<br />

work, that one might be able to improve communication systems to get people<br />

to use better fertilizer amounts on their fields.<br />

Carrying this a step further, might it be realistic that<br />

in situations where one is applying manure or sludge, things that release<br />

nutrients more rapidly into surface runoff water, that it may be that in<br />

certain parts of watersheds there may be fields that are not very directly<br />

connected to the drainage and microdrainage system. There are fields that<br />

for only brief periods of the year might have runoff going into the drainage<br />

systems. In areas like that it might be very safe to carry on certain kinds<br />

of practices. There might be more opportunities to use a variety of management<br />

practices to be safer. On the other hand there may be parts of a<br />

drainage system near the main channel or very close to connected drainage<br />

systems where the management practices that would be allowable would be<br />

very restricted. In other words, one would have to be much more restrictive<br />

there. We mentioned that when you start differentiating between management<br />

practices on a watershed basis rather than just on a crop basis, there are<br />

going to be some problems telling the farmer over here that he can do these<br />

things and the farmer over here that he cannot. I see that as a possible<br />

way of looking to remedial measures not on just a crop basis or a soil<br />

basis, but even on a watershed basis and how that watershed may be receiving<br />

things downstream.<br />

Dr. M. MiZZer: Certainly in terms of fertilizer use we do use and apparently<br />

need to use much more phosphorus on some crops. We have to build the soil<br />

phosphate level up to much higher levels on some crops than others. If you<br />

could control the production of crops to those certain areas, it would help.<br />

I think that will be a major undertaking.<br />

93


Anthropogenic Influences of Sediment Quality at a Source.<br />

Metals<br />

G. K. Rutherford<br />

Erosion and sedimentation are natural, usually gentle, processes<br />

releasing controlled amounts of sediments to receiving waterbodies. Anthropogenic<br />

activities have burst into this process and caused far-reaching and<br />

mostly detrimental environmental changes, the extent of which has not yet<br />

been fully appreciated.<br />

Whereas the soluble ionic transport of chemicals is perhaps the<br />

most insidious and dangerous, the object of this paper is show to the myriads<br />

of ways in which sediment transported materials are damaging to our of way<br />

life. In particular I will emphasize the so-called heavy metals.<br />

BASIC ~TERIALS<br />

As most suspended particles have been soil materials in the<br />

immediate past, it would seem appropriate to consider some of the basic<br />

properties of soil materials.<br />

Soils consist of: (i) skeleton grains which form the virtually<br />

stable skeleton and are generally immobile and unreactive; (ii) plasma<br />

or the fine reactive and mobile parts; (iii) voids or the holes in the<br />

soil and (iv) water and e. Although plasma is considered to be the<br />

only solid material which moves intact through soil, the both plasma and<br />

skeleton may be elements in sediment transportation.<br />

The plasma is generally considered to consist of particles less<br />

than 2u in minimum dimension the and skeleton greater than 2U but in reality<br />

the upper size is about lop. In other words the plasma consists mainly of<br />

COLLOIDAL MATERIALS or materials possessing the properties of colloids -<br />

i.e. HAVING SURFACE CHARGES, usually negative. Not only the INORGANIC<br />

materials derived from rocks but also ORGANIC materials derived from the<br />

destructive microbial breakdown of formerly living organisms exhibit these<br />

properties. Virtually all finely comminuted materials of colloidal size<br />

possess, to some degree, this electric charge and strangely enough,<br />

amorphous materials both organic and inorganic appear to have the highest<br />

charges. The total charge, usually measured as ability to hold positively<br />

charged cations, is known as the CATION EXCHANGE CAPACITY and is this a<br />

specific property of each known compound and of major importance in the<br />

understanding of heavy metal transport in suspension.<br />

Soil materials, measured using conventional methods, exhibit a<br />

marked total positive electric charge although it has long been known that<br />

negative anions may be held or ADSORBED by soil materials. During the<br />

last 125 years many theories to explain this phenomenon have been put<br />

95


forward. Since about 1940, the theoretical background to anion holding<br />

processes has been modestly researched but since 1960 and particularly<br />

1970 the anion adsorbing powers of soils is attracting a wider circle of<br />

interested workers and a new pattern of thinking appears to be developing.<br />

Soil materials art said to have the property of IONIC EXCHANGE:<br />

in other words the adsorbed ions may be exchanged by other ions and there<br />

appear to be three major criteria determining if an ion will be held or<br />

exchanged on a colloidal body. Most heavy metals go into solution as<br />

individual cations, complex anions, or cations in a variety of forms.<br />

These parameters are generally considered to be: ionic charge, ionic radius<br />

and degree of hydration. Thus, in soils, cations tend to be bonded by van<br />

der Waals-type forces to the "parent" colloid whilst anions generally are<br />

more labile and move through and out of the soil body with drainage waters.<br />

The concentrations of POb, SOq, NOJ and C1 in lake and other water bodies,<br />

the causes of eutrophication, are a direct result of this.<br />

SOIL FORMING PFWESSES<br />

If, indeed, sediments have passed through a soil stage it is<br />

then appropriate to examine briefly the ramifications of soil forming<br />

processes for sedimentary reactions. Amongst other things, the soil<br />

forming processes tend to:<br />

(a) produce finer inorganic and organic particles - i.e. more<br />

colloids;<br />

(b) form neoformations.<br />

(i) Inorganic. These are formed by the association of ions in solution<br />

to form a new insoluble material:<br />

2M + xSi + yo -f [M Six OY]- gives new silicate minerals or<br />

z J<br />

more simply Mg + Ca + Cor + CaMgC03.<br />

If these new formations are of colloidal dimensions they will acquire a<br />

negative charge. However there is a very important exception to this and<br />

that is the sesquioxides:<br />

Fe + OH [Fe(OH) 31'<br />

or A1 + OH<br />

4<br />

(Al(0H) 31'<br />

4<br />

and there are all manner of variations over the above theme inasmuch as<br />

the final product may have a very variable composition. The same process<br />

involves such elements as Mn, Cr and V. These neoformations, particularly<br />

in the case of Fe, give soil its characteristic range of colours from the<br />

tropics to the Arctic. The sesquioxide neoformations are characteristically<br />

POSITIVELY charged and amorphous in nature when formed. With the passage<br />

of time, these become crystalline and change their charge slowly to negative<br />

and may become quite strongly negatively charged. The origin of this<br />

negative charge in soils is thoroughly explored and known. The process of<br />

positive adsorption on to silicate colloids is still largely speculative.<br />

96


(ii) Organic. The soil forming processes tend to destroy recently dead<br />

plant and animal tissue and form, amongst other things, strongly complexed<br />

compounds with metallic cations. The chelates with EDTA* are perhaps the<br />

best known and understood and occur in ionic and colloidal dimensions.<br />

These compounds commonly enhance the passage of elements such as Zn, Cu,<br />

Fe through soils and are said to SEQUESTER these elements. When these<br />

organic compounds are broken down by microbial attack the metals become<br />

available for recomplexing or precipitation. In the sequestering process<br />

the metal may simply be enmeshed or surrounded by the rest of the longchain<br />

molecule(s).<br />

(iii) Weak combination bonding. In the generation of neoformations some<br />

metal cations by virtue of size, charge or hydration may be "dragged"<br />

(seduced?) into a loose association with another compound such as iron<br />

hydroxide (oxide). Although this bonding may be loose, the heavy metal<br />

elements are strongly occluded into the newly formed compound. Our colleagues<br />

in exploration geochemistry called this SCAVENGING. Whereas the<br />

process is by no means as simple as I have implied, it is extremely<br />

important in the concentration of many elements in compounds of other<br />

elements. The examples of Cr and Co although at different ends of the<br />

scale are essentially similar. The concentration of Cr in laterites is<br />

thought to be due to this process.<br />

In order to understand the concern about heavy metals, reference<br />

must be made to the nutrition of animals and plants. N, P, K are known as<br />

MACRONUTRIENTS and must be fed to plants at the rate kg/ha; of 1 Ca, and<br />

Mg are intermediate whilst Zn, Co, Cu, I, F, B, etc., are the so called<br />

trace or MICRONUTRIENTS and are fed to plants as g/ha. The heavy metals<br />

fall in the micronutrient category and many of these are essential for<br />

plant, animal and human growth. What is one group's food is another group's<br />

poison. Some trace elements are essential for plant growth in general whilst<br />

these may not all be essential for human growth and vice versa. Na is a<br />

good example of one of these. The trace (heavy) metals are essential for<br />

one or many metabolic functions in plants and/or animals. Fe is essential<br />

for blood formation, Mg is needed for chlorophyll, is V part of cholesterol<br />

synthesis and Cr is needed for glucose synthesis. Deficiency in B causes<br />

cauliflower to malform and deficiency of Mo inhibits the nitrogen fixing<br />

bacteria, causes white muscle disease in fowls and probably plays a role<br />

in multiple sclerosis in humans.<br />

It is a common understanding that deficiency diseases are a<br />

function of a lack of a nutrient in the growth medium, however, it is<br />

equally likely to be a function of ION ANTAGONISM by which process the<br />

excess of one element may cause a deficiency of another. Zn appears to be<br />

antagonistic (and vice versa) to Ca, Cu, Se and Cd so that excess amounts<br />

of this element in industrial waste waters will cause deficiency diseases<br />

associated with the other elements. Vegetables in British Columbia in the<br />

same area showed differences of element content of <strong>50</strong>0 up to times, showing<br />

extreme differences in microenvironmental conditions.<br />

* Ethylene diamine tetra-acetate


Low pH in soils may cause AI, which is normally very stable<br />

geochemically, to go into solution. At a pH less than 3 one is measuring<br />

pAl rather than pH. A1 is extremely poisonous to plants and animals as<br />

witnessed by the failure of jute in Guyana.<br />

If heavy metals are transported by sediments and deposited by<br />

irrigation waters, as flood waters, in channel and stream bottoms, it is<br />

not unlikely that the new environment may give rise to conditions which<br />

divorce the element from its parent sediment and allow it to circulate in<br />

soil or plant nutrient solution where its ramifications and mischief may<br />

be far-reaching.<br />

ANTHROPOGENIC SCURCES OF HEAVY METALS (AND PROCESSES AFFECTING THEIR<br />

DISTRIBUTION IN SEDIMENT TRANSPORT)<br />

Some of the major sources of pollutants and their relationship<br />

to sediment transport will now be briefly discussed. The role of the<br />

transport medium and the special influence of the source will be brought<br />

out. The following man-sponsored sources of environmental pollution are<br />

perhaps the best known.<br />

Sewage, sludge and effluent. (Human metabolic processes)<br />

Animal metabolic processes.<br />

Domestic waste disposal.<br />

Industrial waste disposal.<br />

Agricultural plant protection + fertilization.<br />

Urban expansion.<br />

Industrial extraction processes; Smelting and Mining.<br />

Precipitation.<br />

Automobiles.<br />

Case study - Mercury.<br />

Human metabolic processes. The greatest uptake of heavy metals in<br />

the human intestine occurs at the end of the alimentary tract. The<br />

metabolic need for these is quite low hence human feces tend to concen-<br />

trate these elements. In the sewage disposal process the more soluble<br />

elements (geochemically) such as N, P and K tend to be in solution in '<br />

urine and the heavy metals attached as finely adsorbed organic colloids.<br />

In a secondary treatment plant much of this material and a of portion the<br />

soluble materials is precipitated out by the use of electrolytes. This<br />

SLUDGE is removed and not uncommonly used on agricultural land, primarily<br />

as a source of organic matter and P. In an untreated sewage system it is<br />

abundantly clear how effective sediment is in concentrating and carrying<br />

heavy metals.<br />

Sewage sludge has been shown to have many admirable properties<br />

for plant growth - a common limiting factor is the plugging of voids in<br />

the soil and the consequent increase in runoff which in turn results in<br />

re-entry to the waterways with sediment-borne pollutants.<br />

98


(b) Animal metabolic processes. The many stomach forms of the different<br />

domestic animals result in slight variations of the same effects as in<br />

(a) above but in general the same tendencies hold. The soil, and particularly<br />

soils with well developed A horizons have an admirable ability to<br />

adsorb and process animal manures of a carrying capacity 200 up times to<br />

that of common mixed-agriculture. However feed-lot agriculture is based<br />

on carrying capacities far higher than these. Many if not most feed lots<br />

are sited along or close to waterways. The surface soils soon become<br />

trodden and impermeable so that virtually all runoff from the lot empties<br />

into the waterway. Well fermented cattle manure from the ruminant stomach<br />

must provide about the best imaginable source of transportable sedimentborne<br />

heavy mineral pollutants. Most of the recorded fish kills are<br />

likely primarily and indirectly a function of excess dissolved nutrients.<br />

(c) Domestic waste disposal. Most domestic waste is still entered in the<br />

soil: in the case of incineration pyrolysis and other "refining" processes<br />

a treated product is still placed in earth materials. The many studies<br />

which have been done on the composition of municipal garbage show the<br />

extreme range of composition from place to place and even from day to day.<br />

However a great amount of heavy metals, in an unsuspected variety of<br />

forms, from additives to paper, tires and paint, through the agencies of<br />

microorganisms and decomposition processes may come into solution as<br />

simple or complex ions and gain access to the groundwater and become<br />

potential hazards. However, the passage and transport of these ions is<br />

affected by sediment transport under only two conditions:<br />

(i) when the entombing material is very coarse so that water may<br />

move relatively unimpeded through it, and<br />

(ii) during the process of infilling when the spoil material may<br />

be washed by rain or runoff, by sediment transport may remove<br />

certain heavy metal cations particularly in readily available<br />

form such as battery acid and metal pickling solutions.<br />

(d) Industrial waste disposal. Industrial waste disposal concerns industries<br />

which discard waste in: (i) liquid form or (ii) solid form. In<br />

general the same factors play their role in breakdown and transport as<br />

has been described above. Any industrial waste which carries finely<br />

divided materials, be it silicates or iron filings, will operate more or<br />

less as a colloidal system. The nature of the colloidal "host" will be<br />

the determining factor in how long and how effectively the heavy metal<br />

element is bound in sediment or is liberated. Host colloids which are<br />

broken down by organisms either in an oxidizing or reducing environment<br />

will liberate the heavy metal in a potentially hazardous form at an earlier<br />

stage than otherwise.<br />

Two host colloids worthy of note in this connection are: (i)<br />

tailings from ore refining processes and crushed products of coal, cement<br />

and (ii) fertilizer industries, although the same conditions will be<br />

obtained in any refining process which uses finely comminuted material.<br />

At Sudbury, for instance, The <strong>International</strong> Nickel Company<br />

produces some 35,000 tons of tailings per day which are fed into large<br />

tailings lakes. The average size of these tailings is about 3011 and thus


would have insignificant colloidal properties. Although the tailings are<br />

relatively high in some heavy metals they would not constitute a solution<br />

hazard should they accidently get into waterways. The surface mining of<br />

coal and indeed the crushing of deep-mined coal produces quantities of<br />

colloidal-sized, chemically neutral materials which are not uncommonly<br />

exposed to surface runoff waters. Not uncommonly, rock minerals in associated<br />

strata contain sulphides of Zn and other heavy metals. It is not inconceivable<br />

that the host colloidal materials may partake in the transport of heavy<br />

metals to some degree. Whereas there is an increasing volume of literature<br />

on the ionic solution of heavy metals from such sites, there is, at least<br />

to this author virtually no known literary material on the sediment transport<br />

of heavy metals from such areas.<br />

(e) Agricultural plant protection and fertilization. Most biocides are<br />

soluble and sprayed as solutions or, in fact, with colloidal suspensions<br />

such as oil or clay as the host colloids. .Those biocides which have a heavy<br />

metal as the primary killing agent or a host for a series of chlorohydrocarbons<br />

(anion), will be transported in erosional processes in the same manner<br />

as has been outlined earlier for other sources. The ease of microbial breakdown<br />

releasing the heavy metal will determine the degree of environmental<br />

hazard. Exchange relationships on inorganic colloids will be a similar<br />

deciding factor.<br />

Although N, P and K are the primary nutrients used in agriculture<br />

a series of "tailor-made" fertilizers are produced for many crops. Those<br />

fertilizers in which heavy metals are concentrated either intentionally or<br />

accidently during the manufacturing process will present potential hazards<br />

for waterways as a result of erosional activities.<br />

(f) Urban expansion. It has been convincingly shown that in many environments<br />

urban construction including highways, airports, etc., is the greatest<br />

source of sediment in waterways. As the A and B horizons are the major<br />

soil horizons exposed to erosion and as much of the land used for urban<br />

expansion has been prime agricultural land it is not unlikely that the<br />

eroded sediments carry significant amounts of adsorbed heavy metal cations<br />

bound to both organic and inorganic host colloids. As these sojl horizons<br />

are highest in potentially electropositive colloids it can be surmised<br />

that these sediments are highest in both complex and simple anions of<br />

heavy metals.<br />

As the area of urban roofs and asphalt parking lots steadily<br />

increases so must the colloid content of storm water runoff. In arid<br />

regions and in dry parts of the year in humid areas the fine dust content<br />

of cities increases strikingly. At the same time our affluent society<br />

has more careless spills of oils and solids which provide sources of heavy<br />

metals.<br />

(9) Industrial extraction processes. The smelting process if unchecked<br />

puts into the atmosphere SOz, N02, other similar gases and the stable<br />

oxides and sulphides of heavy metals as particulates. The latter fall to<br />

the soil surfaces or are swept down in the smoke plume at greater or<br />

lesser distances. For example, the concentration of these near the old<br />

smelter at Coniston is high, whilst the concentration from the 400 m new<br />

stack at neighbouring Sudbury is spread out a greater distance. Modern<br />

100


smelting methods helped by modern legislation have seemed to reduce the<br />

access of active particles to colloids for transport. The future danger<br />

will be more from dissolved ionic materials than from transported materials.<br />

However, in the past, the smoke plumes and precipitation killed vegetation<br />

and have bared the soil surface so that active erosion could take place.<br />

The less refined pollutants landing on the surface would be adsorbed first<br />

to organic colloids and transported by waterways. Cation exchange processes<br />

may then obtain and cause heavy metal cations to become available as<br />

poisons or growth inhibitors.<br />

(h) Precipitatg. Although precipitation has long been known to be far<br />

from pure near cities and industrial areas it only is recently that detailed<br />

studies of the amounts of metals being deposited have been undertaken. It<br />

is perhaps in Norway that the most prolific information is available. In<br />

recent years, pollution from rainfall has driven salmon and trout from<br />

most rivers in the south of the country. The primary effects of this<br />

precipitation in most places in North America will be found in solution in<br />

rivers and streams and in vegetation changes. This factor, although<br />

important, will have little apparent influence on sediment transportation.<br />

However in more arid regions with marked dry seasons, this precipitation<br />

factor may play an important if not critical role due to heavy metal<br />

transpcrtatior, ty sediments.<br />

(i) Automobiles. The addition of lead tetraethyl as an antiknock compound<br />

in gasoline has occurred since the early 1930's. A great deal of research<br />

has been done on soils and vegetation along highways. Most of the research<br />

has produced a self-evident result -- the soils are high in adsorbed lead.<br />

Notwithstanding the possible high lead contents of vegetables, this lead<br />

has remained rather stable. Only when road extensions and widening take<br />

place does erosion remove the lead adsorbed on colloids. Two other previously<br />

unconsidered elements are Cd and Zn in automobile tires: both elements have<br />

been found in conspicuously high amounts near highways. The extensive use<br />

of de-icing salts may cause cation exchange reactions which liberate, temporarily<br />

at least, these three elements in ionic form. Lubrication oils have<br />

also been found to have significant amounts of both Cd Zn. and<br />

FUTURE RESEARCH NEEDS<br />

Naturally my suggestions will be chauvanistic. However in<br />

addition to the present data collecting research efforts which must continue,<br />

I would submit that the following are worthy of support.<br />

1. The nature, species and charge properties of suspension<br />

transported colloids.<br />

2. Phase relationships between adsorbed and solution ions in stream<br />

channels.<br />

3. The nature of the heavy metals and all ions being transported<br />

by sediments.<br />

4. Laboratory studies on negative (anionic) adsorption.<br />

101


May I, finally, have the temerity to suggest two future events are<br />

worthy of your interest which may affect your research efforts:<br />

1. Climatic change. There is a considerable volume of evidence to<br />

suggest that we may be approaching a period where almost violent climatic<br />

fluctuations may be the norm rather than the exception. This will present<br />

a whole new range of demands on the knowledge and experience of our sedimentologists.<br />

?.. How much longer can the strained soil colloids surrounding commercial,<br />

industrial and domestic garbage dumps continue with their life saving<br />

ionic exchange without being totally clogged? Many of these dumps are<br />

perched precariously near water bodies.<br />

REFERENCE LIST<br />

- A. Some Appropriate Texts<br />

Soil Conditions and Plant Growth, E. W. Russell, 10th Edition<br />

Longmans, London, (1973).<br />

Non-Agricultural Applications of Soil Surveys, R. W. Simonson,<br />

Elsevier, (1974).<br />

Trace Elements in the Environment, E. ,L. Kothny, American Chemical<br />

Society, (1973).<br />

Cleaning Our Environment - The Chemical Basis for Action,<br />

F. A. Long, American Chemical Society, (1969).<br />

The Natural Environment: Wastes and Control, R. F. Christian<br />

4.. Goodyear Pub. Co., Pacific Palisades California,<br />

(1973).<br />

Micronutrients in Agriculture, J. J. Mortvedc &., American<br />

Society of Agronomy, (1972).<br />

Organic Substances in the Environment I & 11, M. Schnitzel,<br />

Marcel Dekker, N. Y., (1972).<br />

Cleaning Our Environment - The Chemical Basis for Action, (ed.),<br />

F. A. Long, American Chemical Society, (1969).<br />

Vaxtekologi, M. G. Stalfelt, Svenske Bokforlaget, Stockholm.<br />

- B. Symposia and Conferences<br />

Trace Substances in Environmental Health, University of Missouri<br />

I (1967)<br />

I1 (1968)<br />

111 (1969)<br />

IV (1970)<br />

Agricultural Pollution of the Great Lakes Basin, - Water EPA Quality<br />

Office, 13028-C7/71, US Govt. Printer<br />

102


'The Chemical Investigation of Recent Lake Sediments from Wisconsin<br />

and their Interpretation, US EPA Water Pollution Control Series,<br />

16010EHR03/71.<br />

Second Research and Applied Technology Symposium on Mined-land<br />

Reclamation, National Coal Board, Kentucky, (1974).<br />

Environmental Protection in Surface Mining of Coal, US EPA<br />

Environmental Protection, Technology Series, EPA -<br />

670/2/74-093.<br />

Processes, Procedures and Methods to Control Pollution from<br />

Mining Activities, US EPA, 430/9.73.011.<br />

Land For Waste Management, (ed.), B.P. Warkentin, National Research<br />

Council, Ottawa, (1974).<br />

Municipal Waste Disposal - Problem or Opportunity, Ontario Economic<br />

Council, Toronto, (1971).<br />

Solid W&tes - 11, (ed.)., S. S. Miller, American Chemical Society,<br />

(1973).<br />

Wastes - Solids, Liquids and Gases, Chemical Publishing Co.,<br />

N.Y., (1974).<br />

Canada - Ontario Agreement on Great Lakes Water Quality:<br />

Research Report No. 2 Sludge Handling and Disposal Seminar, (1974)<br />

3 High Quality Effluents Seminar, (1976).<br />

28 Removal of Phosphates and Metals from<br />

Sewage Sludge, (1973).<br />

30 Heavy Metals in Agricultural Lands Receiving<br />

Chemical Sewage Sludges, (1975).<br />

33 The Removal and Recovery of Metals from<br />

Sludge and Sludge Incinerator Ash, (1976).<br />

35 Land Disposal of Sewage Sludge, Vol. 111,<br />

(1976).<br />

38 The Harvest of Biological Production as a<br />

Means of Improving Effluents from Sewage<br />

Lagoons, (1976).<br />

Subsurface of Disposal of Waste in Canada 111, R. 0. van Everdingen,<br />

Environment Canada Technical Bulletin 82, (1974).<br />

Soils in Environmental Protection, B. C. Dept. of Agriculture, 5th<br />

B. C. Soil Science Workshop Report, (1975).<br />

First Symposium on Mine and Preparation Plant Refuse Disposal,<br />

Coal and the Environment Technical Conference, Kentucky, (1974).<br />

Sediment in a Michigan Trout Stream, USDA Forest Service<br />

NC-59, (1971).<br />

Fish Kills Caused by Pollution In 1972, US EPA 440/9-73-001,<br />

(1973).<br />

103


Analyse av organiske mikroforurensninger i nedbdr, G. Lunde og<br />

Jdrgen Gether, SNSF Project, (ed.), F Braekke, Oslo, (1974).<br />

Avsyring av sure vann, A. Henriksen og M. Johannessen, SNSF<br />

Project IR5/75, (1975). (A literary review of acid precipitation).<br />

104


INTRODUCTION<br />

Regional Overview of the Impact of Land on Use Water Quality<br />

A. 1). MeEZroy<br />

Midwest Research Institute was given the task in mid 1974 of<br />

conducting a national assessment of nonpoint source pollution for the<br />

U.S. Environmental Protection Agency. The program had two phases. In<br />

Phase I, loading functions for estimation of nonpoint pollution loadings<br />

were developed. In Phase 11, these functions were employed to calculate<br />

pollutant loadings on a national basis. The loadings were calculated<br />

and reported for minor basins, major basins, the 48 states, and the<br />

continental United States. In addition, loadings were aggregated for<br />

each of the 10 federal (EPA) regions.<br />

We were asked to develop loading functions based on "available"<br />

data. This meant generally that the more sophisticated models under<br />

development were not appropriate, since these usually require very<br />

detailed information which is not available to the user. Further, such<br />

models require a sophistication in use which usually is beyond the<br />

capabilities of the personnel involved in nonpoint planning and to whom<br />

the functions were directed.<br />

A further constraint consisted of, in most cases, steering clear<br />

of determining the impacts of nonpoint pollution on water quality. We<br />

thus estimated delivered loads, but did not estimate the resultant impacts<br />

on water quality. It goes without saying that this represents a major<br />

void which must be fiiled if we are to develop a good picture of the<br />

impacts oE nonpoint pollution.<br />

PROGRAM DESCRIPTION<br />

The program included analysis of natural background nonpoint pollution,<br />

i.e., pollution obtained in the absence of modern man's influences.<br />

One can readily appreciate that such a state is not to easy define, nor is<br />

it a simple matter to develop natural or background loadings which can be<br />

rigorously defended. Nevertheless, activities in this area have yielded<br />

results which are interesting and one of the most informative comparisons<br />

involves background and the present disturbed state.<br />

The loading functions developed and used on the program relied<br />

heavily on soil loss from erosion as a building block. Soil loss can<br />

be described and estimated with reasonable accuracy by existing equations,<br />

for which a large body of data is in existence. If one assumes that bulk<br />

loadings (or total loadings) of nitrogen, phosphorus, and organic matter<br />

can be relatcd simply to soil concentrations of these pollutants, then<br />

105


one has a fairly powerful tool for calculating loads of ROD, total<br />

nitrogen, and total phosphorus from major nonpoint sources. This approach<br />

begins to fail (or lw less accurate) when eroded sediment is relatively<br />

minor, as in well managed forests or grasslands, particularly for soluble<br />

forms of nitrogen. The soil loss equations are also a powerful tool for<br />

estimating loads of heavy metals delivered in sediments.<br />

Other approarhes are required for numerous other sources, snch as<br />

feedlot runoff, leachnte from solid waste disposal, mine drainage, irrign-<br />

t ion return flow, and urban runoff. The paper will briefly present the<br />

approaches which were taken for such cases.<br />

I'he paper will, however, deal principally with thr results of<br />

the assessment, rather than on methods for calculating loads. As indicated<br />

above, the assessment was made for minor basins, major basins, and tlle<br />

48 sL:ites. :md has been summarized by region. Data will be presented<br />

which depict land use hy state and pollutant loads by state. Similar<br />

presentations will also be made for land<br />

10 federal regions.<br />

use and pollutant loads by the<br />

DISCUSSION OF RESULTS<br />

Onr of the most usrtul comparisons involves loads from an acre of a<br />

particular source. Some comparisons follow. Acre load of phosphorus from<br />

a background condition, averaged for the 10 regions, vary from about 0.2<br />

lb/acre/year to about 6 lb/acre/year. Loads from forests are about the<br />

same as background in regions which were heavily forested in the naturcil<br />

state, and are as little as about 15% of hackground in regions which we're<br />

sparsely forested in the natural state. Acre loads of phosphorus f1om<br />

cropland range from about L to 20 times tuckground with the greatest<br />

relative increases occt~rring in regions heavily forested in Lhe nat~~ral<br />

state. In arid and semi-arid regions where cropland is chiefly irrigdtt'd,<br />

cropland represents an improvement over background. Pasture and range<br />

acre loads are 1.5 to 2 times background in Regions VI-IX, and 3 tll 20<br />

times background in Regions I-V and X. Feedlots (no control assumed)<br />

give calculated acre loads ranging from about 20 to 2,000 times back$l,round.<br />

Uncontrolled feedlots are clearly less of an insult in both relativv md<br />

absolute terms in semi-arid regions of the country. Urban runoff c


impacts occur when a natural condition in a high rainfall area is<br />

extensively disturbed (as in construction) and that the same activity can<br />

have a small relative impact in arid and semi-arid regions.<br />

CONCLUSIONS<br />

Conclusions generally supported by the results are as follows:<br />

* It is immediately apparent that loads of sediment, nutrient<br />

elements, and BOD are proportional, as one might predict, to<br />

the extent that land has been converted from its natural<br />

state to a highly disturbed state. Agriculture is the<br />

predominant "disturbed" state, and thus in gross or overall<br />

terms is the predominant influence on nonpoint source emissions.<br />

X Comparisons of background loadings with as-is loadings show<br />

clearly that the greatest relative impact of man's activities<br />

occurs in parts of the country which were relatively nonpclluting<br />

in the natural state due to the existence of an<br />

excellent ground cover of grasses and forests, but which are<br />

by reason of climate and terrain highly productive agricultural<br />

lands. The corn belt accordingly has suffered the greatest<br />

__- relative increase in nonpoint pollution compared to background.<br />

This overall effect would appear to reflect the relatively high<br />

overall complex of man's activities in such regions, i.e.,<br />

urbanization and industrialization as well as utilization for<br />

agriculture.<br />

* Total loadings tend to be high in regions which are extensively<br />

committed to agriculture even though rainfall requirements for<br />

agriculture are somewhat marginal, i.e., the Great Plains, but<br />

the relative impact of man's activities (increase over background)<br />

is less in such regions because the "natural" state is<br />

more polluting than the natural state in higher rainfall areas.<br />

* As one proceeds to the arid- semi-arid regions (the West and<br />

Southwest) man's activities tend to have a positive effect<br />

(excluding secondary effects such as salinity in irrigation<br />

return flows), since these activities involve augmentation of<br />

rainfall and generation of improved ground cover conditions.<br />

'< While silviculture is a major land use, pollutant loadings<br />

on an overall basis are substantially less than for the other<br />

major land use--agriculture--because major land disturbances<br />

in silviculture are relatively minor in extent at any one<br />

time. However, the pollutant loadings from disturbed forest<br />

lands are high, and transitory local impacts are accordingly<br />

also high.<br />

* Construction, surface mining, small feedlots, and terrestrial<br />

disposal also turn out to be relatively minor in the overall<br />

sense, and the impacts would thus appear to be significant<br />

chiefly when viewed as localized impacts, which again can be<br />

quite high.<br />

107


+ National<br />

* Particularly noteworthy are regions in which man has endeavored<br />

to "use" land which has moderate to high rainfall and poor<br />

terrain. This effect is pronounced in the states such as<br />

Kentucky and Tennessee.<br />

* An i formative set of results was obtained in a study for<br />

P<br />

NCWQ in which effectiveness of pollution control in agriculture<br />

was estimated. The results demonstrate clearly that a relatively<br />

small proportion of land in agriculture is responsible<br />

for a significant fraction of the total load, and that benefits<br />

measured in terms of pollution reduction are fairly startling<br />

if this land is converted to uses which are judged to be "adequate"<br />

from a soil conservation standpoint. These results, together<br />

with other observations noted above, indicate that marginal<br />

land use is particularly critical from the environmental<br />

nonpoint source point of view.<br />

* Heavy metal loads delivered in eroded surficial soils and<br />

sediments are calculated to be major in quantity rather than<br />

"trace" as one might intuitively expect. We are not certain<br />

what lessons can be learned or what conclusions can be drawn.<br />

It is clearly evident that large quantities of heavy metals are<br />

delivered to surface waters, either from the natural or mandisturbed<br />

states of rural lands, and that these constitute a high<br />

background against which loads,from point sources should be<br />

viewed and interpreted.<br />

* The overall results of the assessment are rather crudely<br />

interpretable in terms of the basic physical/chemical characteristics<br />

of the land and water, and of climate. Perhaps the<br />

simplest example is mine drainage, which is a function of both<br />

the capacity of a region to generate acid and its capacity to<br />

neutralize the acid--the western coal mining regions have a<br />

high neutralizing capacity, while the eastern regions do not.<br />

Similarly, relationships between delivered loads of nutrients<br />

and BOD, and observed burdens of these same pollutants indicate<br />

that surface waters differ across the country in assimilative/<br />

use capacities. The relative proportions of these pollutants<br />

further indicate that eutrophication processes can be expected<br />

to follow a fairly systematic trend one as proceeds from low<br />

rainfall to high rainfall regions.<br />

* Finally, it is usually true that nonpoint loads of pollutants<br />

are substantially in excess of in-stream burdens. One concludes<br />

that it is imperative that a better understanding be developed<br />

of the nature of assimilation of these pollutants, including<br />

adsorption on sediments or trapping out in sediments, equilibria<br />

between sediments and water, chemical and biology processes,<br />

and transport processes.<br />

Committee on Water Quality.<br />

108


U,S, EPA REGIONS<br />

I. Maine, Vermont, New Hampshire, Massachusetts, Connecticut, Rhode<br />

Island.<br />

11. New ‘fork, New Jersey<br />

111. Pennsylvania, Delaware, Virginia, West Virginia, Maryland<br />

IV. Kentucky, Tennessee, North and South Carolina, Georgia, Mississippi,<br />

Alabama, Florida<br />

V. Ohio, Illinois, Indiana, Michigan, Wisconsin, Minnesota<br />

VI. Arkansas, Louisiana, Oklahoma, Texas, New Mexico<br />

VII. Iowa, Kansas, Missouri, Nebraska<br />

VIII.Colorado, Montana, North and South Dakota, Utah, Wyoming<br />

IX. Arizona, California, Hawaii, Nevada<br />

X. Alaska, Idaho, Oregon, Washington<br />

109


DISCUSSION<br />

Dr. D. Huff: One of the things that I have been interested in, particularly<br />

in some of the earlier discussions this morning, is the direction that I heard<br />

people taking from the larger to the smaller process oriented kinds of studies.<br />

Certainly there is a lot of detail involved in those things, but in effect<br />

what you have done is to go the other way; trying to summarize on the basis of<br />

existing information what one can say about a very large area and, in particular,<br />

your last comments about things like coefficients for metabolism; say<br />

organic materials in the stream. On a large scale this may be something you<br />

might comment on. Perhaps you could be a little more specific about the<br />

kinds of things that you saw as needs at that scale.<br />

Dr. A. McEZroy: Well, I don't know that those particular needs are unique to<br />

a large scale. I think they apply to whatever scale you happen to be working<br />

at. I think we have probably seen some rather gross manifestations of what<br />

these problems are, that is differences between burdens and loads, one that<br />

does not account for very readily. We probably just illustrated or manifested<br />

these questions, and I would think for the large areas you have essentially<br />

the same need for this kind of information you as do for small areas. You<br />

need much more specific information, I suspect, for small areas because you<br />

are dealing with a much more specific situation which you want to monitor<br />

precisely, and you don't necessarily need the kind of detail that you would<br />

need if you were analyzing a larger area.<br />

Mr. J. CuZbertson: Please explain to me what an acre burden is. You have<br />

thrown in this term burden. I can't qujte understand that in the terms you<br />

have used.<br />

Dr. A. McEZroy: I should have defined it earlier. We define a burden as it<br />

relates to the actual quantity of a pollutant which is in a stream. We<br />

define that as a burden rather than a load for our purposes. In a sense it<br />

is not different from a load, but we made that distinction because, in what we<br />

call the stream-to-source methods, you start with what is a burden, or load<br />

if you wish to call it that, in the stream and you try to work backward to<br />

the source. When it got along the way we found that the loads that we<br />

calculated going from a source to a stream method were considerably larger,<br />

so we simply developed this distinction between a burden and a load. Burden<br />

refers to that quantity which actually exists in the stream as detected by<br />

sampling the water. In this case, we call it an acre burden. It is a quantity<br />

of pollutant which exists in a stream which we attribute to an acre of source,<br />

as opposed to an acre load which is that quantity which is delivered to a<br />

stream from an acre of source.<br />

111


Dr. D. Baker: For all of your loading calculations you use a delivery ratio,<br />

and I am wondering to what point you are delivering these loads when you are<br />

adding up data for counties, states or regions.<br />

Dr. A. MeElroy: We developed a delivery factor which is based on stream<br />

densities and upon soil textures and these delivery factors were developed on<br />

a land resource area. In other words, we did not develop delivery factors<br />

which were specific to a county; rather, we assigned a delivery factor for a<br />

big region to a county. We are reluctant to publish our county loads you<br />

might say, or to pass them out because they have values assigned to them in<br />

a number of cases which are typical of the region, but not necessarily<br />

specific to the county.<br />

Dr. D. Baker: As I recall your delivery ratio graphs, they are not a function<br />

of area anyway. They are more related to drainage density, which is area<br />

independent. I can't see how you can come up with a delivery ratio that isn't<br />

related to the area of the watershed.<br />

Dr. A. MeEZroy: Well, I'll see if I understand your question. If you happen<br />

to have the drainage density any in particular county, and the number of<br />

miles of stream per square mile for example, this essentially is a drainage<br />

density. If you have that figure for the county, then this would be essentially<br />

a drainage density which would in effect depict you for the average<br />

distance to the nearest permanent stream for that county. I should think<br />

in that case that it would be specific for that area.<br />

Dr. D. Huff: I think that what he is asking is "did you look at the total<br />

load delivered say at the outlet, wherever that is for the whole region,<br />

and then normalize that?" In other words, to get a per unit area you had to<br />

have an area to divide by.<br />

Dr.. A. McEZroy: Well as I said our basic unit for making the calculations<br />

was the county, however, we did use for specific sources, the acreages of the<br />

various categories of land use in that area. We would apply our delivery<br />

factor to whatever acreage we happened to come up with. I have a feeling you<br />

are not quite satisfied yet.<br />

Dr. 5'. Yaksieh: I notice you reported some of your data to 8 about significant<br />

figures. Do you really have that much confidence in it?<br />

UP. A. McElroy: It is hard to teach the computer to do otherwise. Heavens,<br />

no !<br />

Dr. S. Yaksich: What type of error estimates would you place on the numbers<br />

you are producing?<br />

112


at2. (1. hI,-!'~rY,'~t; EPA asked us to develop error analysis for our loadings.<br />

We asked some of our people to do this and they said there were not enough<br />

statistics available. We did it and if you want to consider all the possible<br />

errors, they are quite large; say <strong>50</strong>% if you want to consider enough factors.<br />

However, I think that without being able to prove it, generally we are<br />

talking about perhaps 202, and one of the reasons is that we are dealing<br />

with fairly large areas with a considerable amount of statistics which have<br />

been generated for these areas and I would rate them at about 20-25%. Now<br />

that is going to vary. For some of OUT pollutants from feed lots, for<br />

example, we used ranges of concentrations of pollutants in feed lot runoff<br />

which would range all the way from very nearly zero up to a couple of thousand,<br />

so pick a number in the middle of them. We had to For this kind of<br />

study.<br />

Dr. S. Yuksich: The reason why I asked is some of your loading functions<br />

were used by another study done by the National <strong>Commission</strong> on Water Quality<br />

in the Lake Erie drainage basin by Dalton, Dalton & Little. Some comparisons<br />

of the loadings that they got of total phosphorus coming into Lake Erie in<br />

comparison to the type of numbers that we generated from a stream sampling<br />

program at about 600 samples during the course of a year for each stream,<br />

showed their estimates were about double ours coming out of the streams.<br />

Dr. A. McBZroy: I guess I wouldn't expect the error to be that bad. You<br />

have to bear in mind that these are average numbers that we are using and any<br />

one particular year can be very much in deviation from an average year. This<br />

is one thing you need to take into consideration. I think that if you were<br />

to accept these loading functions in a sense that they are the average and if<br />

you are looking for an average condition, then probably they should for the<br />

most part be reasonably good. If you were to consider the deviation year to<br />

year and try to use an average number you might find out they would be<br />

considerably in error for a particular year.


Influence of Flow Characteristics on Sediment Transport<br />

with Emphasis on Grain Size and Mineralogy<br />

J. Culbertson<br />

The transport of sediment by water has been studied and documented<br />

since at least 1808 (Inter-Agency Committee on Water Resources, 1940).<br />

Although not documented, canal builders in India, Afghanistan, and other<br />

countries must have learned much about the subject (see Bibliography).<br />

All of those early studies were aimed at learning processes of sediment<br />

transport that related to the engineering aspects; that is, related to the<br />

building of structures and water-conveyance systems. Objectives wLre<br />

related mostly to determination and prediction of the volume of sediment<br />

being deposited in or removed from channel beds, or transported into<br />

reservoirs. Theoretical studies were related to the mass and volume of<br />

mineral sediments -- those sands and gravels that continuously to act<br />

change and modify river systems.<br />

Also, during the nineteenth century other engineers were studying<br />

the sanitary aspects of sedimentation as a result of demands for clear<br />

water piped to homes and sanitary sewer systems piped from homes. Their<br />

needs for knowledge also related more to mass and volume than anything<br />

else; however, they recognized that sediments were not all mineral.<br />

Environmental concerns over the past decade particularly, have made<br />

us more aware of the problem related to the sorption and transport of chemical<br />

constituents on sediments. With the recognition of this fact, sediment, very<br />

quickly was 1-abeled a pollutant. We now find that water chemists, aquatic<br />

biologists, sanitary engineers, geomorphologists, and sediment engineers<br />

must talk to each other - the one individual who can understand all of these<br />

different specialists calls himself or herself an environmentalist, or<br />

perhaps an ecologist. The purpose of this paper to is present a brief<br />

description of the processes that govern the transport of sediment by<br />

water.<br />

The term sediment must be defined in terms of current needs.<br />

Sediments (fluvial) are solid materials that have a specific gravity greater<br />

than 1.00 that will settle in a column of quiescent water due to the gravitational<br />

force. Sediments found in the fluvial environment can be either<br />

mineral or organic materials. Table 1 defines the kinds of materials,<br />

physical sizes of materials, and their general mode of transport in a<br />

flowing stream.<br />

11 7


TABLE 1<br />

KINDS OF MATERIALS<br />

Sediment Size Class Mode of Transport<br />

Boulders Larger than 256 m Bedload<br />

Cobbles 64-256 mm Bedload<br />

Gravel 2-64 TDUI Bedload<br />

Sand 0.062-2 UIU Bedload or Suspended<br />

Silt 0.004-0.062 UUU Suspended<br />

Clay 0.0002-0.004 TDUI Suspended<br />

Organic detritus<br />

Includes leaves, trees,<br />

biological remains, etc.<br />

Bedload or Suspended<br />

Biota Bedload or<br />

Includes bottom dwelling<br />

organisms<br />

NOTE: The size classes of mineral sediments shown are based on the<br />

Wentworth scale (Lane 5 &.. 1947).<br />

118


The mass of sediment being transported in suspension is called<br />

suspended load. The mass of sediment being transported in virtually<br />

continuous contact with the streambed is called bed load. The transport<br />

rate of suspended load is the suspended-sediment discharge, and the transport<br />

is expressed in terms of mass per unit time of (kilograms per second,<br />

megagrams per day, etc.). The range in size and specific gravity of<br />

sediments transported for both modes of transport is tremendous.<br />

The environmentalist faces a real problem in sorting out the<br />

definitions of terms that have been coined by the various disciplines over<br />

the years. Suspended sediment also is called suspended solids, nonfilterable<br />

solids, silt, turbidity, etc. Bedload materials are called bed material,<br />

bottom material, deposited sediment, benthic material. substrate, etc.,<br />

depending on the background of the individual. The definition of "solution"<br />

also enters the picture. Solution is defined by most water chemists as<br />

the liquid that passes through a 0.45 Dm (micrometre) filter. By this<br />

definition, a solution can include particles that the engineering profession<br />

classifies as fine clay and colloids.<br />

Another problem that relates to measurement and definition of<br />

fluvial sediments is that there is a continuous interchange of some<br />

sizes of sediment between the streambed and &he streamflow. Sediments in<br />

suspension may settle into the bed mve and for some period of time as<br />

bed load, or they may remain at rest until moved back into suspension<br />

for another period of time. Even the very fine silts and clays are<br />

involved in this process, particularly in reaches of sand bedded streams<br />

where there is a loss of flow from the stream to the ground water system.<br />

Zn this situation, fine materials can infitrate the sand bed to a considerable<br />

depth.<br />

In order to standardize analytical methods, sedimentologists have<br />

related particle size of sediments to quartz spheres (Figure 1). One reason<br />

is that most mineral sediments carried by streamflow consist of roughly 92-98<br />

percent of particles having an average specific gravity 2.65. of Therefore<br />

2.65 is used to represent all sediment carried when computing sediment discharge.<br />

Sedimentation diameters are used to define size classes for fine sediments<br />

because of the relative ease of analytical techniques. Size, shape, specific<br />

gravity, and viscosity of the water effect the sedimentation rate, and a<br />

small, heavy grain may have the same mass and fall velocity as a larger quartz<br />

grain.<br />

Figure 2 illustrates the basic principles of sediment transport.<br />

The velocity with depth in the general case is illustrated. The resistance<br />

at the bed is caused by the drag of the liquid over the particles, and that<br />

drag and turbulence of the flow causes the bed materials to move along the<br />

bed or to jump into suspension for unpredictable periods. The upward velocity<br />

vector must overcome the gravitational force on a particle in order for it<br />

to remain in suspension. Turbulence is greatest near the bed; therefore, the<br />

coarsest particles are carried near the bed. Finer sediments, generally finer<br />

than 62 Dm (silt and clay size by definition), require little turbulence<br />

to maintain them in suspension, and therefore, are transported throughout<br />

the depth of flow in about the same concentration. Concentration is the term<br />

used to mean the mass of sediment per unit volume of the water-sediment mixture.<br />

The discharge rate of suspended sediment varies generally with depth as<br />

illustrated by the concentration variation with depth.<br />

119


In any given fluid at any temperature<br />

VfP VfP Vf s<br />

If SGp = SGs and VIP = VIS<br />

then D = SEDIMENTATION DIAMETER of particle.<br />

If in distilled water at 24°C.<br />

9 Tq P D<br />

then D ~ STANDARD SEDIMENTATION DIAMETER.<br />

vfpl vlp2 vlp3 VIS<br />

1- . I<br />

If Vfpl, Vfp2, Vfp3 7 VfS = STANDARD FALL VELOCITY<br />

then D = STANDARD FALL DIAMETER<br />

Figure 1. Relating standard sediment dimeters<br />

to diameter of quartz spheres.<br />

120


' I .<br />

Depth Velocity<br />

of<br />

Figure 2. Schematic diagram of velocity and suspended-sediment<br />

concentration distribution in a stream vertical<br />

121


122


c1<br />

N<br />

w<br />

mg/ 1 at surface = 880 935 910 91 5 91 0 860<br />

mean in vertical = 941 930 942 920 932 907<br />

DISTANCE. IN FEET<br />

Water discharge = 1280 cubic feet per second<br />

Mean velocity = 4.41 feet per second<br />

Median diameter of bed materlal = 0 33 rnm<br />

Figure 4. Distribution of silt and clay (finer than 0.062 mm) in cross<br />

section of Rio Crande conveyance channel near Bernardo,<br />

New Mexico


I-<br />

*<br />

N<br />

c<br />

W<br />

w<br />

LL<br />

z<br />

x<br />

I-<br />

a<br />

W<br />

0<br />

C mg/ 1 at surface = 640 770 690 880 660 3<strong>50</strong><br />

mean in vertical = 1220 13<strong>50</strong> 1400 1600 1420 1190<br />

DISTANCE, IN FEET


Figure 2 also illustrates the sampling problem. Currently available<br />

suspended-sediment samplers sample only to a point from about 0.3 to 0.5 feet<br />

above the bed. It is evident that these samplers do not sample that part of<br />

the flow carrying the greatest concentration of coarse particles.<br />

Figures 3, 4, and 5 illustrate data based on actual field measurements<br />

of velocity and suspended sediment made in the Rio Grande conveyance<br />

channel near Bernardo, New Mexico (Culbertson 5 &., 1972). The conveyance<br />

channel is straight and uniform for several thousand feet. Point<br />

velocities and point suspended-sediment samples were obtained at five<br />

points in each of six verticals in order to define the isovels and zones<br />

of equal concentration of various size classes of sediment. Concentration<br />

values shown are in mg/l (milligrams per litre).<br />

Velocity distribution (Figure 3 ) was found to be quite variable<br />

because of the roughness caused by the dune bed conflguration. Note the<br />

four distinct cells of high velocity in the cross section. Also, note<br />

the slower velocity along the right bank.<br />

The finer sediments (silts and clays) were distributed almost<br />

uniformly throughout the cross section (Figure 4 ). Concentrations of<br />

samples collected at the surface were almost the same as the mean concentration<br />

in each vertical; therefore, within the limits of accuracy<br />

obtainable in most laboratories, a sample collected almost anywhere in<br />

this cross section would be considered representative for this size<br />

range.<br />

Figure 5 illustrates the distribution of the coarse suspended<br />

sediment (sand). It is obvious that the sampling problem in this case is<br />

real. If one wishes to analyze a sample of the streamflow to determine<br />

either the mass of sediment being transported or the amount of sorbed<br />

constituents on the sediments, one must have a representative sample that<br />

contains representative masses of each size class of material.<br />

The preceding discussion has related only to the general case,<br />

and the instantaneous steady uniform flow condition. Time variation of<br />

sediment transport presents another problem. Figure 6 illustrates the<br />

general relation between water discharge and suspended-sediment discharge.<br />

For a given site, it is not uncommon to find a variation in suspendedsediment<br />

discharge of about 1.5 log units for any given water discharge.<br />

This variation is caused mostly by: (1) seasonal variations in availability<br />

of sediment; (2) snowmelt runoff versus thunderstorm runoff; (3) period<br />

between floods; (4) and the difference between turbulence characteristics<br />

on rising and falling stages.<br />

Figure 7 shows the typical variation of sediment concentration<br />

with time and discharge. The differences in concentrations for a given<br />

gage height (discharge) between the rising and falling stages can be<br />

noted.<br />

In summary, the variation in transport rates of sediment in streams<br />

is dependent upon the turbulent characteristics of the flow and the avail-<br />

ability, size, and specific gravity of sediment in the system. Sediments<br />

125


1 O(<br />

la<br />

1.0<br />

0.1<br />

WATER DISCHARGE (cfs)<br />

Figure 6. Direct runoff versus sediment discharge, by day, Pigeon Roost<br />

Creek Watershed 5, .January 1957-December 1960. After Piest<br />

(in Proceedings, 1963, p. 102).


can be transported either in suspension or as bed load; however, there can<br />

be a continuous interchange between the streamflow and the channel bed.<br />

The coarser sediments require more turbulence to maintain in them suspension,<br />

and therefore, are found in greater concentrations near the<br />

stream bed. Much greater care is required when sampling streams carrying<br />

coarse sediments (sands) in order to obtain a sample that represents the<br />

streamflow.<br />

The variability of sediment concentration with water discharge is<br />

great, and many samples may be required to define the suspended-sediment<br />

discharge during floods. Variability with time also is great, and<br />

samples must be obtained throughout the year to define sediment discharge<br />

variation due to changes in land use (availability) and seasonal effects.<br />

SELECTE3 LITERATURE<br />

Abbett, R. W., (1956). American Civil Engineering Practice. V.1,<br />

sec. 2(John Wiley).<br />

An Appraisal of Water Pollution in the Lake Superior Basin. FWPCA<br />

Great Lakes Adm.. April 1969.<br />

Anderscn, A. G., (1942). Distribution of Suspended Sediment in a<br />

Natural Stream, Am. Geophys. Union Trans., 2, (Pt. 21,<br />

678-683.<br />

A.S.T.M. Designation: C136-38T, (1938). Tentative Method of Test<br />

for Sieve Analysis of Fine and Coarse Aggregates, Proc.,<br />

- 38-1, 808-810.<br />

Bagnold, R. A.. (1956). The Flow of Cohesionless Grains in Fluids,<br />

Royal So. (London) Philos. Trans., 249, 235-297.<br />

Bagnold, R. A., (1966). An Approach to the Sediment Transport Problem from<br />

General Physics, U.S. Geol. Survey Prof. Paper 422-1. 37 pp.<br />

Barthel, J. C., (1969). Pesticide Residues in Sediments of the Lower<br />

Mississippi River and its Tributaries. In: Pesticides Monitoring<br />

Jour., 3, (l), 8-66<br />

Barton, J. R., and Lin, Pin-Nam, (1955). A Study of the Sediment<br />

Transport in Alluvial Channels. Civil Eng. Dept., Colorado<br />

State Univ., Fort Collins, Colo.. 43 pp.. 21 figs., and appendix.<br />

Benedict. P. C.. Albertson, M. L., and Matejka, D. Q., (1955).<br />

Total Sediment Measurement in Turbulence Flume. Amer. SOC.<br />

Civil Engineers Trans., 120, 457-484.<br />

Bondurant, D. C., (1955). Report on Reservoir Delta Reconnaissance,<br />

Corps of Engineers, Missouri River Division Sediment Series<br />

Pub. No. 6.<br />

Borland, W. H.. and Miller, C. R.. (1958). Distribution of Sediment<br />

in Large Reservoirs, Am. SOC. Civil Engr.. Jour. Hyd. Div..<br />

84, 1587.<br />

-<br />

128


Bormann, F. H., Likens, G. E., Eaton. J. S.. (1969). Biotic Regulation<br />

of Particulate and Solution Losses from a Forest Ecosystem.<br />

Bioscience, 19. (7), 600-610.<br />

Brown, H. E., Hansen, E. A., and Champagne, N. E., Jr., (1970).<br />

A System for Measuring Total-Sediment Yield from Small Water-<br />

sheds, Water Resources Research, 5, (31, 818-826.<br />

Burrell, G. N., (1951). Constant-Factor Method Aids Computation of<br />

Reservoir Sediment, Civil Engineering, 21. (7), 51-52<br />

Chia-Shun Shih, and Gloyne, E. F., (1969). Influence of Sediments<br />

on Transport of Solutes, Jour. Hyd. Div., 95. (HY4).<br />

Colby, B. R., and Hembree, C. H.. (1955). Computation of Total<br />

Sediment Discharge, Niobrara River near Cody, Nebr., U.S.<br />

Geol. Survey Water-Supply Paper 1357.<br />

Colby, B. R., (1956). Relationship of Sediment Discharge to Stream-<br />

flow, U.S. Geol. Survey, Open-File Report.<br />

Colby, B. R., (1957). Relationship of Unmeasured Sediment Discharge to<br />

Mean Velocity, her. Geophys. Union Trans., 2, (5),<br />

708-717.<br />

Colby, B. R., (1961). Effect of Depkh of Flow on Discharge of Bed Material.<br />

U.S. Geol. Survey Water-Supply Paper 1498-D. 12 pp.<br />

Colby, B. R., (1964). Discharge of Sands and Mean-Velocity Relationships<br />

in Sand-Bed Streams, U.S. Geol. Survey Prof. Paper 462-A,<br />

47 PP.<br />

Cook, H. L., (1935). Outline of the Energetics of Stream-Transporation<br />

of Solids, Am. Geophys. Union Trans., 16, (2), 456-463.<br />

Corps of Engineers, U.S. Army, (1961). Reservoir Sedimentation Invest-<br />

igations Program, Engineering Manual 1110-2-4000.<br />

Culbertson, J. K., Scott, C. H., and Bennett, J. P., (1972). Summary<br />

of Alluvial-Channel Data from Rio Grande Conveyance Channel,<br />

N. Mex., U.S. Geol. Survey Prof. Paper 562-.I., 49 pp.<br />

David, C., (1969). Sediment Radioactivity in the Columbia River Estuary,<br />

In Selected Water Resources Abs., 2, October 1, 1969, 32 pp.<br />

Davis, Foote, and Kelly, (1966). Surveying: Theory and Practice.<br />

Fifth edition, Chap. 30 (McGraw-Hill).<br />

Davis, Foote, and Kelly, (1964). Special Surveys: Dept. of Army Tech. Manual<br />

5-235.<br />

Dendy, F . E., and Champion, W. A ., (1969). Summary of Reservoir<br />

Sediment Deposition Surveys Made in the United States 'Illrough<br />

1965, USDA Misc. Pub. 1143.


fhkin, If. M. (rev. Brown, C. B.), (1939). Silting of Reservoirs,<br />

U.S. Dept. Agr. Tech. Bull. 524, 168 pp.<br />

Einstein, H. S., and Chien, Ning, (1953). Can the Rate of Wash Load<br />

be Predicted from the Bed-Load Function?, Am. Geophys. Union<br />

Trcllls. , E, 867-882.<br />

Einstein, H. S., (19<strong>50</strong>). The Bed-Load Function for Sediment Trans-<br />

portation in Open Channel Flows, U.S. Dept. Agr. Tech.<br />

Bull. 1026, 70 pp.<br />

Einstein, H. S., (1954). Second Approximation to the Solution of the<br />

Suspended Load theory, U.S. Corps Engineers, Missouri River Div. Sediment<br />

Ser. 3, 30 pp., 12 figs.<br />

Flammer, G. H., (1962). Ultrasonic Mmeasurement of Suspended Sediment,<br />

U.S. Geol. Survey Bull. 1141-A, 48 pp.<br />

Gilbert, G. K., (1914). Transportation of Debris by Running Water,<br />

U.S. Geol. Survey Prof. Paper 86, 263 pp.<br />

Gleason, 6. R., and Ohlmacher, F. J., (1965). A Core Sampler for<br />

In-Situ Freezing of Benthic Sediments, Ocean Science and Ocean<br />

Engineering, <strong>Joint</strong> Conference Marine Tech. Soc. and Amer. SOC.<br />

Lim. and Ocean, Washington, D. C., Trans., L, 737-741.<br />

Gottschalk, L. C., (1951). Measurement of Sedimentation in Small<br />

Reservoirs, Am. SOC. Civil Engr., Proc. Hyd. Div., 77.<br />

Guy, H. P., (1968). Quality Control of Adjustment Coefficients in<br />

Geological Survey Research 1968, U.S. Geol. Survey Prof. Paper<br />

600-B, pp. B165-Bl68.<br />

Guy, H . P., (1969). Laboratory Theory and Methods for Sediment Analysis,<br />

U.S. Geol. Survey Techniques Water-Resources Inv., Book 5,<br />

Chap. C1, 58 pp.<br />

Guy, H. P., (1970). Fluvial Sediment Concepts, U.S. Geol. Survey<br />

Techniques W-R Inv., Book 3, Chap. C1, 58 pp.<br />

Guy, H. P., and Norman, V. W., (1970). Field Methods for Measurement<br />

of Fluvial Sediment, U.S. Geol. Survey Techniques W-R Inv.,<br />

Book 3, Chap. C2, 59 pp.<br />

Hubbell, D. W., (1964). Apparatus and Techniques for Measuring<br />

Bed Load, U.S. Geol. Survey Water-Supply Paper 1748, 74 pp.<br />

Hubbell, D. W., and Matejka, D. Q., (1959). Investigations of<br />

Sediment Transporation. Middle Loup River at Dunning, Nebr.,<br />

U.S. Geol. Survey Water-Supply Paper 1476, 123 pp.<br />

Inter-Agency Committee on Water Resources, (1940). A Study of Methods<br />

Used in Measurement and Analysis of Sediment Loads in Streams:<br />

Field Practice and Equipment Used in Sampling Suspended Sediment,<br />

Report No. 1.<br />

130


Inter-Agency Committee on Water Resources, (1940). Equipment for<br />

Sampling Bed Load and Bed Material, Report No. 2.<br />

Inter-Agency Committee on Water Resources, (1941). A Study of<br />

Methods Used in Measurement and Analysis of Sediment Loads in<br />

Streams: Methods of Analyzing Sediment Samples, Report No. 4<br />

Inter-Agency Committee on Water Resources, (1941). A Study of<br />

Methods Used in Measurement and Analysis of Sediment Loads in<br />

Streams: Laboratory Investigation of Suspended-Sediment<br />

Samplers, Report No. 5.<br />

Inter-Agency Committee on Water Resources, (1943). A Study of New<br />

Methods for Size Analysis of Suspended-Sediment Samples, Report<br />

No. 7.<br />

Inter-Agency Committee on Water Resources, (1952). The Design of<br />

Improved Types of Suspended Sediment Samplers, Report No. 6.<br />

Inter-Agency Committee on Water Resources, (1953). Accuracy of<br />

Sediment Size Analysis Made by the Bottom-Withdrawal-Tube<br />

Method, Report No. 10.<br />

Inter-Agency Committee on Water Resources, (1957). The Development<br />

and Calibration of the Suspended-Accumulation Tube. Report No. 11.<br />

Inter-Agency Committee on Water Resources, (1957). Some Fundamentals<br />

of Particle-Size Analysis, Report No. 12.<br />

Inter-Agency Committee on Water Resources, (1958). A Study of Methods<br />

Used in Measurement and Analysis of Sediment Loads in Streams:<br />

Operation and Maintenance of U.S. BM-54 Bed-Material Sampler,<br />

Report M.<br />

Inter-Agency Committee on Water Resources, (1959). Sedimentation<br />

Instruments and Reports, Report AA.<br />

Inter-Agency Committee on Water Resources, (1963). A Study of Methods<br />

Used in Measurement and Analysis of Sediment Loads in Streams:<br />

Determination of Fluvial Sediment Discharge, Report No. 14.<br />

Ismail, H. M., (1952). Turbulent Transfer Mechanism and Suspended<br />

Sediment in Closed Channels, Am. SOC. Civil Engineers, Trans.,<br />

- 1 I 7, 409-446.<br />

Jackson, H . W., (1970. A Controlled-Depth Volumetric Bottom Sampler,<br />

The Progressive Fish Culturist,<br />

2 (2).<br />

Kennedy, J. F., (1961). Further Laboratory Studies of the Roughrle~,~<br />

and Suspended Load of Alluvial Streams, California lnst. ‘1ecI1nology,<br />

W. M. Keck Lab. Rept. KH-R-3.<br />

Keulcgm, C. H., (1938). Laws of Turbulent Flow in Open Channels,<br />

U.S. Natl. Bur. Standards, Jour. Research, 21, ( f~),<br />

707-741.<br />

l,i\i’sev, K. H., (1970). The Role Sediments Play ill lk~trrmining the<br />

((u:llity of Water, U.S. Army Corps of Engr., ilm.tl~n [list.<br />

131


McCain, E. H., (1957). Measurement of Sedimentation in TVA Reservoirs,<br />

Am. SOC. Civil Engr., Jour. Hyd. Div., g, (HY3), Paper 1277.<br />

McCain, E. H., (1965). Operation Manual for Radioactive Sediment Density<br />

Probe, Corps of Engineers, Omaha District.<br />

Meyrr-Peter. E., and Muller, R., (1948). Formulas for Bed-Load<br />

Transport, Int. Assoc. of Hydraulic Structures Research,<br />

2nd Mtg., Stockholm, Sweden, 39-64.<br />

Proceedings of the Federal Inter-Agency Sedimentation Conference,<br />

(1948), 314 pp.<br />

Proceedings of the Federal Inter-Agency Sedimentation Conference,<br />

(1963). U.S.D.A. Misc. Pub. No. 970, 933 pp.<br />

Proceedings of the Third Federal Inter-Agency Sedimentation<br />

Conference, (1976). Sedimentation Committee of the Water<br />

Resources Council.<br />

Prych, E. A., and Hubbell. D. W., (1966). A Sampler for Collecting<br />

Sediments in Rivers and Estuaries, Geol. SOC. America Bull.,<br />

- 77, 549-556.<br />

Ritter. J. R.. and Helley, E. J.. (1969). Optical Method for<br />

Determining Particle Sizes of Coarse Sediment, U.S. Geol.<br />

Survey Techniques of Water Resources Inv., Book 5 , Chap.<br />

c3, 33 pp.<br />

Sayre, W. W., and Chang, F. M., (1968). A Laboratory Investigation<br />

of Open-Channel Dispersion Processes for Dissolved, Suspended,<br />

and Floating Dispersants, U.S. Geol. Survey Prof. Paper 433-E,<br />

71 PP.<br />

Sayre, W. W., and Hubbell, D. W., (1965). Transport and Dispersion of<br />

Labelled Bed Material, North Loup River, Nebr., U.S. Geol.<br />

Survey Prof. Paper. 433-C, 48 pp.<br />

Sellers, B., Papodopoulos, T., and Ziegler, C., (1966). Radioisotope<br />

Gage for Monitoring Suspended Sediment Concentration in Rivers<br />

and Streams, U.S. Atomic Energy Comm.<br />

Simons, D. B., Richardson, E. V., and Albertson, M. L., (1961).<br />

Flume Studies Using Medium Sand (0.45 nun), U.S. Geol. Survey<br />

Water-Supply Paper 1498-A, 76 pp.<br />

Sooky, A. A., (1969). Longitudinal Dispersion in Open Channels,<br />

Jour. Hyd. Div., 95, (HY4).<br />

Task Force on Bed Forms in Alluvial Channels of the Committee on<br />

Sedimentation, ASCE, (1966). Jour. Hyd. Div., 92, (HY3).<br />

51-64.<br />

U.S. Army, Corps of Engineers, Omaha District, (1952). Sediment<br />

Transport Characteristics Study of Missouri River at Omaha.<br />

Nebr. Unpublished Report.


U.S. Bureau of Reclamation, (1958). Interim Report, Total Sediment<br />

Transport Program, Lower Colorado River Basin: Sedimentation<br />

Sec., Hydrology Br., Div. Prof. Inv., 175 pp.<br />

U.S. Waterways Experiment Station, (1935). Studies of River Bed<br />

Materials and Their Movement, with Special Reference to the<br />

Lower Mississippi River, U.S. Waterways Expt. Sta., Paper 17,<br />

161 pp.<br />

Vanoni, V. A., (1975). Sedimentation Engineering, Am. SOC. Civil<br />

Engr., Manuals and Reports on Engineering Practice - No. 54,<br />

745 pp.<br />

Vanoni, V. A., and Brooks. H. H., (1957). Laboratory Studies of the<br />

Roughness and Suspended Load of Alluvial Streams, California<br />

Inst. Technology, Report No. E-68.<br />

Wolman, M. C., (1954). A Method of Sampling Coarse River Bed Elaterial,<br />

Am. Geophys. Union Trans., 21, (6). 951 pp.<br />

133


DISCUSSION<br />

Dr. E. ihgley: We are all aware of the fact that the relationship between<br />

sediment discharge and flow is generally non-linear when we are looking at<br />

total sediment. I am wondering, do you have any feeling for the relationship<br />

between the finer than 62 p fraction with flow? Is it because it is<br />

not depth dependent? Is it really a simple function of flow?<br />

Mr. J. 'iciiw2*tsmI; No. The fine material is that material finer than 62<br />

micron5 and I might mention that Hydro Comp has a model out where they stop<br />

at <strong>50</strong> microns. Why they selected that I don't know. This fine material<br />

has been called wash load. There is no relation between the concentration<br />

or load of wash load with the hydraulics. It is not velocity- and depth<br />

dependent. The sands do relate well with velocity-depth relations but the<br />

fine material, no. This is a real problem because vou cannot predict the<br />

fine material or washload.<br />

135


INTRODUCTION<br />

Sediment Storage and Remobilization Characteristics<br />

of Watersheds<br />

.I. Knox<br />

Accuracy in estimating long term sediment yields depends to a<br />

large degree on understanding the natural variability of the magnitude and<br />

frequency of surface runoff. Although the magnitude and frequency characteristics<br />

of surface runoff are normally presumed to display random<br />

variation over time, this presumption is often not fulfilled. Long hydrologic<br />

records spanning many decades and proxies of surface runoff that<br />

extend to century time scales indicate that natural departures from the long<br />

term average often occur in clustered sequences. Because many hydrologic<br />

records span only short periods of time, a condition which is especially<br />

true for sediment yield records in many small watersheds, it is important<br />

that observed erosion and sediment transport rates be calibrated to reflect<br />

the range of both short term and long term variations. Significant changes<br />

in erosion and sediment transport often occur when an existing balance<br />

between land cover and climate is disrupted. Disruption may occur naturallv<br />

in response to climatic change, or it may be produced in response to changes<br />

of land use. The responses of sediment yield to changes of climate or land<br />

use are mostly related to changes in the magnitude and frequency characteristics<br />

of surface runoff. It is also apparent that changes in magnitude and<br />

frequency of surface runoff, in turn, cause changes both in the functional<br />

relationship between sediment yield and water yield and in the sediment<br />

delivery ratio. Nearly all of the techniques currently in practice for<br />

estimating long term sediment yields of watersheds involve an assumption of<br />

temporal uniformity (stationarity) in the time series of variables that<br />

relate to either precipitation or runoff. Over the time span of several<br />

decades and longer, the assumption of stationarity may not be met because of<br />

changes in either climate or land use or both.<br />

THE MOVEPENT OF SEDIMENT THROU;H K~TERSHEDS<br />

Long term changes in the magnitude and frequency of surface runoff<br />

can alter the long term rate of movement of sediment through a watershed by<br />

causing changes in the rate of upland erosion and/or in the volume of sediment<br />

that is stored in the watershed as colluvium and alluvium. The volume of<br />

upland erosion is largely related to storms and surface runoff of events<br />

moderate magnitude and frequent occurrence. For example, Wischmeier (1962)<br />

found that three-fourths of the soil losses from small, cultivated, singlecover<br />

plots in the United States were caused an by average of about four<br />

storms per year. Piest (1965, p. 101) concluded that, on the average, more<br />

than one-half of the annual soil losses from 72 small watersheds from 17<br />

states was related to storms that occur more often that once per year.<br />

137


Altllougll the data of Wischmeier and Piest make it clear that most upland<br />

sediment loss is related to meteorological events that recur relatively<br />

frequently, the actual total number of events is relatively small. For<br />

rxdmplc, Knox et al. (1975, p. 42) found that, for small Iowa watersheds<br />

draining less than 10 square miles (16 km2), the suspended sediment yield of<br />

only eight to ten davs normally accounted for more than 90 percent of the<br />

annual yield. The actual number of days per year that are associated with<br />

relatively high magnitude suspended sediment yields increases slightly as<br />

drainage area increases (Figure 1). It may be concluded that the hulk of<br />

erosion and transportation of sediments from upland sites is related to a<br />

very small number of hydrologic events, whose occurrence is dependent upon<br />

the development of specific meteorological conditions. The importance of a<br />

small numher of climatic events makes climate variation critical to the<br />

explanation of long term variations of the mobility and storage of sediments<br />

in watersheds. A modest change in an expected seasonal location of a storm<br />

track or air mass boundary affects the number of occurrences of days with<br />

high mngnitude sediment yields. Climate changes of this type explain most<br />

of bottt the short and long term variations of upland sediment yields.<br />

Long term variations in the magnitude and frequency of surface<br />

runoff also affect the balance between sediment that is eroded and transported<br />

versus sediment that is stored as colluvium and alluvium (sediment<br />

delivery ratio). Millenia scale episodes of channel alluviation and channel<br />

degradation have been documented as occurring over wide regions (Starkel,<br />

1966, 1972; Haynes, 1968, 1976; Klimek and Starkel, 1974; 1NQUA Holocene<br />

Symposium, 1975; Knox, 1976; and Johnson, 1976). The regional synchroneity<br />

of many documented alluvial episodes provides evidence that the sediment<br />

delivery ratio is subject to change on long term time scales. Current<br />

estimates of long term average sediment delivery ratios have suggested that<br />

the ratio varies inversely with drainage area raised to the 0.125-0.20 power<br />

(Piest, Miller, and Vanomi, 1975, pp. 462-463; EPA, 1973, p. 58). Year to<br />

year variability in surface runoff may cause large departures from the<br />

expected average sediment delivery. For example, when land cover is held<br />

constant, the magnitude of the sediment delivery ratio increases with<br />

increasing runoff (Piest, Kramer, and Heinemann, 1975, p. 132; Elutchler and<br />

Bowie, 1976, p. 1-21). If. over the long term, vegetative cover improves to<br />

better protect the land surface from erosion and acts as a friction factor<br />

to reduce the rate of surface runoff, then sediment delivery percentages<br />

will decline (PiesL, K~dme~, and Heinemann, 1975, pp. 139-140). On the other<br />

hand, if changes in runoff are associated with highly variable flood flows<br />

with relatively frequent recurrence of large floods, then stream channels<br />

are likely to become unstable and floodplain erosion may follow (Schumm and<br />

Lichty, 1963, pp. 74-76; Stevens et 4.. 1975; and Knox, 1976, pp. 182-186).<br />

In summary, the amount of transportation and/or storage of sediment<br />

in watersheds is dominated by a relatively small number of hydrologic<br />

events that tend to occur each year. The actual frequency and the character-<br />

istics of the critical hydrologic events is strongly dependent on the<br />

prevailing climate and land use characteristics.<br />

IMPACT OF LONG TEW VPRIATICNS OF CLIMATE<br />

The importance of climate as a variable influencing short term<br />

variations of sediment yields is generally accepted, but many, if not most,<br />

investigaLors assume that climate variations are essentially random in<br />

relation to time scales than span several decades or longer. The assumption<br />

138


___<br />

FIGURE 1<br />

The relationship between days of occurrence of relatively<br />

high magnitude suspended sediment yield and drainage area.<br />

The equation explains seventy-six percent of the variance<br />

of high sediment yield days and is significant at 0.01 the<br />

probability level. High yield days, as defined here,<br />

accounted for an average of eighty-five or more percent of<br />

annual sediment yields in watersheds draining <strong>50</strong>0 square<br />

miles (1300 krn'). Only about sixty percent of the total<br />

annual suspended sediment yields were represented by the<br />

high yield days when the drainage area increased to about<br />

<strong>50</strong>00 square miles (13000 h2). The data utilized in the<br />

above equation provide quantitative documentation that a<br />

very large fraction of the total annual yield of suspended<br />

sediment from a watershed is related to hydrologic events<br />

which occur on only a small number of days during the year.<br />

The specific magnitude and frequency characteristics of<br />

the critical hydrologic events are in turn highly<br />

sensitive to variations in the dominant climatic regimes.<br />

139


nt randomness is frequently not supported by long historical records of<br />

climntc nor by proxies of long climate records (e.g., tree ring character-<br />

istics) (Lamb, 1966, pp. 56-112).<br />

Climate circulation regimes are often characterized by positive<br />

and negative feedback mechanisms that lead to persistence of anomalous<br />

conditions. Persistence of certain "preferred" circulation regimes, in<br />

turn, contribute to persistence in characteristics of hydrologic events.<br />

Persistence occurs on many time scales. For example, an analysis by this<br />

author revealed that, for the years 1941-1969, frequencies of floods in 29<br />

Upper Mississippi Valley watersheds displayed patterns of departure from<br />

,average that were strongly persistent on approximately a decadal time scale<br />

(Figures 2 and 3). The number of "runs" of consecutive occurrences of flood<br />

frequencies, expressed as five-year running averages in Figure 2, was nearly<br />

four standard deviations below the expected mean number for a statistically<br />

random arr'iv. I t was estimntrd that departures, of the above decadal scale,<br />

wtart' rt,sponsihle for four ((1 -,t~vt~n-told v.iriations in tht: average short term<br />

sediment yields.<br />

An example of how surface runoff can vary between climatically<br />

different years is prcvided in Figure 4 which represents thv Rickapoo Kiver<br />


"Strahler"<br />

St ream<br />

Order<br />

TABLE 1*<br />

Estimated Suspended Sediment Yields for<br />

Average Drainage Areas of Stream Orders<br />

in the Kickapoo Watershed Upstream of<br />

LaFarge, Wisconsin<br />

Average Sediment Yield (tonslmi')<br />

Drainage "wet"* "dry"* "average"<br />

Area (mi')<br />

1965 1963<br />

.016<br />

.07<br />

.33<br />

1.55<br />

6.65<br />

30.<strong>50</strong><br />

~<br />

24<strong>50</strong> 475 14 30<br />

2025 390 1180<br />

1640 310 945<br />

1320 2<strong>50</strong> 760<br />

1100 2 10 630<br />

88 5 170 520<br />

*The sediment yield data were generated from seasonally calibrated sediment<br />

rating curves derived from U.S. Geological Survey sediment data collected<br />

for the Kickapoo River near LaFarge, Wit;consin. For further information<br />

see Knox aJ., 1975, pp. <strong>50</strong>-57.<br />

141


Decadal scale variation in flood frequencies. A listing of the<br />

gaging stations and other descriptive characteristics of the


FIGURE 3<br />

Total Floods -Partial Duration Series<br />

29 Basins<br />

per Mississippi Valley<br />

Month<br />

- 1941 - I949<br />

"" I*Io-lv5v<br />

IVbO- I969<br />

Decadal scale variation in seasonal concentrations of<br />

flood occurrences (After Knox et al., 1975, pp. 10, "<br />

17, 30-40).<br />

FIGURE 4<br />

Hydrographs - Kickapoo River LaFarge, Wisconsin<br />

Climatic influence on runoff. Data from U.S. Geological<br />

Survey. After Knox et al., 1975, p. 51.<br />

143


FIGURE 5<br />

. , ..<br />

Annual flood series, Mississippi River at Keokuk, Iowa.<br />

Data from U.S. Geological Survey, After box - et _. a1 3<br />

1975, p. 7.<br />

1.<br />

FIGURE 6<br />

Minimum Stagor of th. Nil. Rivor at Cairo, Egypt<br />

Progressive <strong>50</strong>-year average stages of Nile River.<br />

Redrawn from Stevens' Fig. 9 closure to paper by<br />

Jarvis (1935, p. 1048).<br />

144


to reflect probable climatic trends. If long term estimates of the mobility<br />

and storage of sediments are to extend to century and longer time scales,<br />

then probabilistic interpretations of duration curves based on long records<br />

represent "best available" approximations. Planning for long term mobility<br />

and storage of sediments in watersheds should probably be viewed in relation<br />

to scenarios of possible conditions of climate influence.<br />

IWACT OF LONG TERM VARIATIONS OF [AND USE<br />

The long term mobility and storage of sediment in watersheds is<br />

influenced by land use in a way that is analogous to climate changes, because<br />

both involve disturbance of the relationships amongst precipitation, land<br />

cover, and runoff. The influence of land use on sediment yield has been<br />

investigated extensively (e.g., Federal Inter-Agency Sedimentation Conferences:<br />

1947, 1963 and 1976; U.S. Environment


Environmental Protection Agency (EPA), 1973. Methods for Identifying<br />

and Evaluating the Nature and Extent of Non-Point Sources of<br />

Pollutants: EPA - 430/9-73-014, Washington, 261 pp.<br />

HLIPP, S . C., Rittenhouse, C., and Dobson, C. C., 1940, Some<br />

principles of accelerated stream and valley sedimentation:<br />

U.S. Department of Agriculture, Tech. Bull. 695.<br />

Havrlt.s, (1, V., 1968, Geochronology of late-Quanternary alluvium:<br />

In - Means of Correlation of Quaternary Successions (R.B.<br />

Morrison .rnd II. E. Wright, Eds.) pp. 591-631, Vol. 8. Proceedings<br />

VI1 INQUA Congress, Univ. of Utah Press, Salt Lake City.<br />

<strong>International</strong> Association of Hydrological Sciences, 1974, Effects<br />

of Man on the Intrrtace of the Hydrological Cycle with the Physical<br />

".~"I_<br />

Environment: IAHS I'ublication No. 113, 157 pp.<br />

~"<br />

"_ .<br />

INQUA Holocene Symposium, 1975, Weogeographical Changes of Valley<br />

Floors in the Holocene: Biuletyn of Genlogiczny, Vol. 19,<br />

Warsaw University Press, Warszawa.<br />

.I.trvis. C. S., 1935, Flood-stage records of the river Nile: Trans.<br />

American Society of Civil Engineers, Paper No. 1944, pp.<br />

1012-1070.<br />

Johnson, W. C.. 1976, The impact OF environmental change on €luvial<br />

systems: Kivkapoo River, Wisconsin: Unpublished Pt1.D. disserat.ion,<br />

University o i Wisconhin, Department of Geography.<br />

Klimek, K., and Starkel, L., 1974. History and actual tendency<br />

of floodplain development at the border of the Polish Carpathians:<br />

In: Report OF the <strong>Commission</strong> on Present-day Processes (H. Poser,<br />

Ed.), pp. 185-196, <strong>International</strong> Geographical Union, Vandenhoeck<br />

and Kuprecht, Gottingen.<br />

box, .1. C., 1976, Concept of the graded stream: In - Theories<br />

of Landform Developms, R. Flemal and W. Melhorn, Eds., Sixth<br />

Annual Geomorphology Symposium. Binghamton, NY, pp. 169-198.<br />

Knox, J. C., Bartlein, P. J., Hirschboek, K. K., and Muckenhirn,<br />

R. J., 1975. The response of floods and sediment yields to<br />

climatic variation and land use in the Upper Mississippi<br />

Valley: University o€ Wisconsin Institute for Environmental<br />

Studies Report No. 52, 76 pp.<br />

Lamh, H. H.. 1974, The current trends of world climate--a report<br />

on the early 1970's and a perspective: University of East<br />

Anglia, Norwich, Climatic Research Unit Research Publication<br />

No. 3, 28 pp.<br />

Lamb, H. H.. 1966, On the nature of certain climatic epochs which<br />

differed from the modern (1900-1939) normal: In: The Changing<br />

Climate (H. H. Lamb). pp. 58-112, Methuen and Co., Ltd.,<br />

London.<br />

Mutchler, C. K., and Bowie. A. J., 1976, Effect of land use on<br />

sediment delivery ratios: In - Proceedings of the Third Federal<br />

Inter-Agency Sedimentation Conference, Water Resources Council,<br />

Washington, pp. 1-11. 1-21.<br />

146


Piest, R. F., 1965. The role of the large storm as a sediment contributor:<br />

Proceedings of 1963 Federal Interagency Conference on Sedimentation,<br />

Misc. Pub. 970, U.S. Department of Agriculture.<br />

Piest, R. F., Kramer, L. A., and Heinemann, H. G., 1975, Sediment<br />

movement from loessial watersheds: In - Present and Prospective<br />

Technology for Predicting Sediment Yields and Sources, U.S.<br />

Department of Agriculture, Agricultural Research Service Report<br />

ARS-S-40., pp. 130-141.<br />

Piest, R. F., Miller, C. R., and Vanomi, V., 1975, Chapter Iv -<br />

Sediment sources and sediment yields: In - Sedimentation<br />

Engineering, V. Vanomi, Ed., American Sor. Civil Engineers Task<br />

Committee on Sedimentation, NY, pp. 437-493.<br />

Renfro, G. W., 1975, Use of erosion equations and sediment-delivery<br />

ratios for predicting sediment yield: In - Present and<br />

~ _" ~<br />

Prospective Technology for Predicting Sediment Yields and<br />

__- Sources, U.S. Dept. of Agriculture, Agricultural Research<br />

Service, Publication ARS-S-40, pp. 33-45.<br />

Schumm. S. A., and Lichty, K. W., 1963, Channel widening and tlood-<br />

plain construrtion along Cimarron River in Southwestern Kansas:<br />

U.S. Geological Survey Prof. Paper 352-D, pp. 71-88.<br />

Starkel, I,., 1966, Post-glacial climate and the moulding of European<br />

relief: In - World Climate from 8000 to 0 B.C., Royal<br />

Meteorological Society, London, pp. 15-33.<br />

Starkel, L., 1972, Trends of development of valley floors of mountain<br />

areas and submontane depressions in the Holocene: Studia<br />

Geomorphologica Carpatho-Balcanica, Vol. 6, pp. 121-133.<br />

Stevens, M. A., Simons, D. B., and Richardson, E. V., 1975.<br />

Nonequilibrium river form: Proceedings American Society<br />

Civil Engineers, Journal Hyd. Division, HY5, V. 101, PP.<br />

551-566.<br />

Trimble, S. W., 1975, A volumetric estimate of man-induced soil<br />

erosion on the southern piedmont plateau: In - Present<br />

and Prospective Technology for Predicting Sediment Yields<br />

and Sources, U.S. Dept. of Agric., Agric. Research Service,<br />

Publication ARS-S-40, pp. 142-154.<br />

Trimble, S . W., 1976, Sedimentation in Coon Creek Valley, Wisconsin:<br />

In - Proceedings of the Third Federal Inter-Agency Sedimentation<br />

Conference, Washington, pp. 5-100, 5-112.<br />

U.S. Department of Agriculture. 1965, Proceedings of the Federal<br />

Inter Agency Sedimentation Conference, 1963: U.S. Government<br />

Printing Office, Washington, 933 pp.<br />

U.S. Department of Agriculture, 1975, Present and Prospective<br />

Technology for Predicting Sediment Yields and Sources:<br />

Agricultural Research Service Publication ARS-S-40, pp. 285<br />

147


DISCUSSION<br />

Dr. 0. Bouldin: One of the problems we always run into is that we have got<br />

to make estimates based on imperfect knowledge. Now I see nothing particularly<br />

wrong with that, but what really bothers me is that most of the time<br />

we have no way to estimate how sure we are about, or put confidence intervals<br />

on, those estimates, particularly sediment loads. What kinds of handles can<br />

we put on this problem? In other words how do we make an estimate of a<br />

coniidence interval<br />

years of data?<br />

for a sediment load that may be derived from two or three<br />

Dr. J. Kwxt Well, again I am sure this probably varies regionally. The<br />

situation that I am familiar with in the upper midwest is that we do see<br />

frequently decadal scale persistence in the records, and we can look at<br />

longer term records of climate or climate proxies. In this case we have<br />

records of temperature that we can take back to 1820 or so. In the case of<br />

Canada, the Hudson Bay Company has some nice records that go hack iarther.<br />

I think what we need to ds is look at these kinds of records and see to what<br />

degree the probabilities of recurrence of certain kinds of critical events<br />

that transport sediment might have varied within those records. Now, this,<br />

I think, is preferable, at least from my point of view, in estimating what is<br />

likely to happen, say over the next 10 years than just assuming pure randomness.<br />

I think you come up with a better figure, but again I think because we do not<br />

have the capability of perfect prediction, even very good prediction right<br />

now, that probably the scenario approach is still a requirement. You have to<br />

look at it in terms of what is possible and I think those probability figures<br />

are pretty good in telling you what is possible, perhaps even what is reasonably<br />

probable. We see right now, at least occuring since about 19<strong>50</strong>, a<br />

return to circulation patterns that seem to have characterized many years in<br />

the previous century, recurred with much greater frequency. Now whether<br />

that is going to continue to happen, I have no way cf knowing, but it is<br />

interesting that some of the patterns we have now apparently are similar to<br />

ones that occurred over long periods of time. Much of the first half of the<br />

20th century had recurrence frequencies of circulation patterns, preciptation<br />

characteristics and runoff that may be a little bit unusual over the long<br />

term scale of the last 200 years or so. Now, if that is true and we are<br />

working from duration curve extrapolations and we weight our data relative to<br />

the record, that is not really representative of what is going to occur in the<br />

next decade or so; then we are in trouble.<br />

149


INTRODUCTION<br />

Sediment Storage and Remobilization Characteristics<br />

of Watersheds<br />

C. Nordin<br />

The movement in a watershed of a sediment particle from its<br />

position of weathering and erosion to its point of ultimate deposition is<br />

a complex process developing in time under random influences. By definition<br />

(Cramir, 1964), this movement is a stochastic process.<br />

Most of what we know about sediment movement and sediment<br />

storage in watersheds comes from empirical observations, and despite the<br />

fact that sedimentary processes have been observed for many decades, only<br />

a few generalizations can be drawn from the extensive data accumulated.<br />

This discussion deals with the following generalizations: (1) the relation<br />

of sediment yield to drainage area and its implication in of terms sediment<br />

storage in watersheds; (2) the random nature of daily and annual sediment<br />

loads; (3) short-term in-channel storage of sediment; and finally (4) a<br />

stochastic model of sediment movement and its limitations.<br />

SEDIMENT YIELD AND DRAINAGE AREA<br />

Sediment yield usually is determined one of three ways: (1)<br />

from small experimental plots where artificial precipitation is controlled<br />

and all runoff and sediment can be measured; (2) from periodic surveys<br />

of sediment collected in reservoirs; and (3) from sampling sediment loads<br />

of streams. Auxilliary methods involving remote sensing, topographic<br />

mapping or cross sectional valley and channel surveys also are used.<br />

The relations of sediment yield to drainage area vary from arid<br />

to humid regions, but the general trend is for the unit sediment yield to<br />

decrease with increasing drainage area. The implications are clear; the<br />

movement of eroded sediment is not continuous, and the larger the drainage<br />

area, the more chances there are for storage of eroded material. The<br />

major unresolved problems with respect to sediment yield are those re-<br />

lating to storage. If all the sediment eroded from the headwater areas<br />

of watersheds is not transported out of the basin, where does this sediment<br />

go, what is its residence time while in storage, and what are the factors<br />

that control its movement and deposition? Despite the tremendous amount<br />

of empirical data collected to determine sediment yield from small watersheds,<br />

it has not been possible to draw sufficient generalizations to<br />

permit answering these sorts of questions.<br />

Most of the reliable data on sediment yield are from watersheds<br />

with drainage areas less than about 10 square kilometres, while most<br />

stream sediment discharge records are for basins with drainage areas<br />

greater than 200 square kilometres. Very little information is available<br />

for basins in the range 10 of to 200 square kilometres drainage area.<br />

151


DAILY AND ANNUAL SEDIMENT LOADS<br />

The sediment yield from large watersheds and sediment discharge<br />

to the oceans are determined from measurements of sediment discharge at<br />

gauging stations. These records are considered fairly reliable because:<br />

(1) the flow and transported sediment are confined generally a single to<br />

channel where measurements are relatively simple and standardized; and<br />

(2) many of these stations have been operated for years so that the<br />

stochastic properties of the time series of flow and sediment discharge<br />

are well-defined.<br />

A common method of displaying sediment loads is to plot them<br />

against water discharge. Generally, there is a fair correlation with an<br />

increasing trend of sediment load with water discharge, indicating that<br />

the same variables affect both runoff and sediment yield, and almost<br />

always there is considerable scatter about a mean line relating sediment<br />

discharge to water discharge. Typically, the sediment discharges from<br />

arid and semi arid regions are several Orders of magnitude higher a for<br />

given water discharge than those from more humid basins, and at low<br />

flows, the scatter in sediment load for arid regions is five or six<br />

orders of magnitude compared to about an order of magnitude for the humid<br />

regions. Part of this scatter is seasonal variation, but even after<br />

integrating over the annual cycle, there is considerable scatter in the<br />

relation of annual sediment load to annual streamflow.<br />

Land use has substantial impact on sediment yield, and most<br />

activities such as road building, urbanization, timbering, and strip<br />

mining, if not subjected to careful controls, can increase substantially<br />

the sediment yield of a specific area. The rate of rehabilitation of a<br />

disturbed area is generally rapid in urban areas and decreases with<br />

decreasing annual precipitation in rural areas.<br />

IN-CHANNEL STORAGE AND REENTRAIN"<br />

In-channel storage and reentrainment of sediment may a be longterm<br />

phenomenon associated with the building of point bars and flood<br />

plains with concurrent lateral migration of channels, or it may a be<br />

seasonal or shorter-term phenomenon related to hydrologic and hydraulic<br />

properties of the flow. There is little basis today other than projection<br />

of historical data for predicting rates of lateral migration of channels,<br />

but short-term changes related to stream hydrology OK to hydraulic sorting<br />

can be modelled with reasonable success if sufficient data are available<br />

to establish initial conditions, boundary conditions, and inputs. The<br />

two general approaches to modelling these processes are: (1) to construct<br />

stochastic models of the time series of water discharge and sediment<br />

discharge (Rodriguez and Nordin, 1968); or (2) to employ computational<br />

hydraulics as described by Bennett (1974).<br />

152


STOCHASTIC M~DELS OF PARTICLE M~VEMENT<br />

-L<br />

Mathematically, the position vector X(t) of a particle at time<br />

t is given by<br />

*<br />

where the initial position X(o) = o at time t = 0. The velocity 0,<br />

O.t<br />

is a random function of position and time so X also is a random function<br />

of position and time.<br />

ft<br />

Equation 1 says simply that a particle's position is the integral<br />

over its velocity and the description is precise whether the movement is<br />

continuous or discontinuous. From a practical point of view, though, the<br />

utility of equation 1 is restricted to some few cases where the particle<br />

velocity can be specified or where the distributions of particle step<br />

lengths and rest periods are known; so the applications are limited<br />

mostly to the hydraulic problems of predicting dispersion of fine particles<br />

or bedload transport under conditions of steady uniform flow. Considerable<br />

progress has been made in recent years on these particular stochastic<br />

models, but there still exist some disturbing departures of empirical<br />

observations from the theoretical models (Nordin, 1975), so the problems<br />

can hardly be considered solved. Nonetheless, it is encouraging that at<br />

least certain aspects of the sediment transport processes can be approached<br />

on a fairly rigorous mathematical basis.<br />

Although equation 1 is an exact description of particle movement,<br />

there are practical limitations in its applications. The first restriction<br />

requires the process be stationary; that is, the parameters describing<br />

the distributions in the process should not vary with time. A second<br />

restriction, one that is even more critical, is that the model is kinematic;<br />

so for predictive purposes, it is necessary to relate the parameters of<br />

the model to the dynamic forces of the flow. This can be done for steady<br />

uniform Flow over a flat bed. For this case, the particle steps,


Todorovic and Nordin (1975) generalize the wst important<br />

theoretical results of various stochastic models that have been proposed<br />

and derive expressions for the errors involved in the approximations in<br />

equation 2.<br />

Probably the most critical research need today is to compile<br />

and generalize existing empirical data to permit interpolation and extrapolation<br />

to areas where no field data have been collected. Such generalization<br />

would also serve as a rational basis for network design to collect<br />

additional field data where it is needed. Further development of mathematical<br />

and stochastic models should be undertaken, with particular<br />

attention to methods for treating non-steady or non-stationary processes.<br />

LITERATURE CITED<br />

Bennett, J. P., (1974) Concepts of Mathematical Modelling of Sediment<br />

Yield Water Resources Research, lo. (3). 485-492.<br />

Cram&, Harald, (1964). Model Building With the Aid of Stochastic<br />

Processes Technometrics, 5, (2), 133-159.<br />

Nordin, Carl, (1976). Simulation of Velocity Distribution and Mass<br />

Transfer Stochastic Approaches to Water Resources (ea. H. W.<br />

Shen), P. 0. Box 606, Fort Collins, CO., V. 11, chap. 22, 24 p.<br />

Rodriguez-Iturbe, I., and Nordin, C. F., (1968), Time Series Analysis<br />

of Water and Sediment Discharges Int. Assoc. for Scientific<br />

Hydrology, 13, (2), 69-86.<br />

Todorovic, Petar, and Nordin, C. F., Jr., (19751, Evaluation of Stochastic<br />

Models Describing Movement of Sediment Particles on Riverbeds<br />

U.S. Geol. Survey Journ. of Research, 3, (5), 513-517.<br />

154


DISCUSSION<br />

Dr. E. Ongley: 1 am wondering, if you have any feeling for whether there is<br />

an inverse relationship between particle size and the residence time in<br />

transport? Would you suspect that?<br />

Dr. C. Nordin: I have evidence that says that there is under steady uniform<br />

flow conditions. Experimental evidence in a laboratory flume shows that the<br />

rest period duration, or a distribution of rest periods of a particle is a<br />

function of the particle size. Once you get into a natural condition where<br />

you do not have steady, uniform flow, where you have particles depositing<br />

some place and picked up somewhere else, it is hard to say. One typical<br />

storage problem that you would run into is in most natural channels where<br />

you have material eroded from the outside of a bed being deposited on the<br />

next bar downstream. This material might be stored in that bar for centuries<br />

until the meander sweeps on downstream. So what is the rest period of particles<br />

there? They take a few hops along the channel and rest in that bar deposit<br />

for a couple of decades or a couple of centuries until the meander sweeps on<br />

downstream and picks them up. This is important in terms of nutrients and<br />

contaminants because there is a possibility for contaminants to be deposited<br />

in a flood plain and then be re-exposed a at later time on a fairly uniform<br />

basis. So you may never get these things out of the channel.<br />

Ur. J. Knor: Carl (Nordin), what time scale are you applying a randomness<br />

on? The reason I ask is that on certain time scales, things are certainly not<br />

very random; they are very episodic.<br />

Vr. C. Nordin: I do not think that the concept of persistence is in conflict<br />

with the ideas of randomness if you look at the work that Mandelbroth and<br />

Hurst have done, or even the work that G. I. Taylor did in introducing the<br />

correlation function to statisticians. There is a persistence, and until<br />

that correlation dies out this persistence determines the movement.<br />

Dr. .J. Knox: The point is really how much energy do you want to expend to<br />

make something that appears random at one scale really deterministic at<br />

another scale?<br />

155


Dr. C. Nordin: Well as an engineer I am perfectly contented to work with<br />

design lives. Most engineers are willing to work with <strong>50</strong> years or 100 years<br />

because if they design something, they are going to be gone by the time it<br />

fails. The time scales are very different. I agree with you that there<br />

are episodes of very low flow and very high flow of very intense activity<br />

and I don't know how you handle these.<br />

Dr. J. Knox: One thing that we did to improve the level of explained variance<br />

between water yield and sediment yield was to calibrate for the various kinds<br />

of events within a given physiographic area and given land use region. The<br />

explained variance rose and then you could interpret your records Over a<br />

longer term of events by looking at the stream flow from which you usually<br />

have longer records. It is a matter of calibrating over shorter periods of<br />

time, for particular times of events and then getting a long equation with<br />

dummy variable type inputs where a 1 OK a 0 is ahead of the calibration<br />

coefficient. If that event occurred in that period, it had a 1 and multiplied<br />

it in. If it did not it cancelled it out. That gives pretty reasonable<br />

results. It explains most of the variance but it takes a lot of time and much<br />

effort, but it can be a significant improvement.<br />

Dr. C. Nordin: I think I would also agree with your suggestion that when you<br />

start simulating or trying to predict these things through simulation you<br />

have to look at a large variety of scenarios or you have to run a lot of<br />

realizations of your stochastic process and get some distribution of these.<br />

156


I NTRODUCT I ON<br />

Forms and Sediment Associations of Nutrients (C.N. b p.)<br />

Pesticides and Metals<br />

Nutrients - P<br />

H. L. Golterman<br />

As most of the Dutch lakes are situated in the deltas of the Rhine<br />

and Meuse, they receive large amounts of nutrients from this source.<br />

In total they receive 6 g m-', y-l; about <strong>50</strong>% from the Rhine. The<br />

Rhine carries about 70,000 tonnes of PO+-P per year, of which 80% is<br />

transported into the North Sea. Of the remaining 15,000 tonnes about<br />

<strong>50</strong> - 60% is accumulating in the Dutch lakes, which receive an annual<br />

load of about 6 g per m2 per year.<br />

ESTIWTES OF RIVERINE PHOSPHATE<br />

Sources<br />

Three different sources of riverine phosphate - and thus of the<br />

Rhine - can be distinguished:<br />

1) natural erosion;<br />

2) human waste;<br />

3) agricultural runoff.<br />

Global Phosphate Resources<br />

A first estimate of the erosion can be made with a global mean value.<br />

Phosphate occurs in rocks as calcium apatite, in the range between 0.07 -<br />

0.13%. Van Wazer (1961) estimated the total amount of phosphate in the<br />

lithosphere to be 1.1 x loz5 g of which lo" g is present in the sea<br />

in the dissolved state, while loz1 g is buried in marine sediments. (Only<br />

3 x 10l6 g is considered to be mineable).<br />

Erosion-derived Phosphate<br />

During chemical weathering the major part of this amount is converted<br />

into a "lattice bound clay" phosphate. In unpolluted clays the phosphate<br />

phosphorus is about 0.1%.<br />

Following Meybeck's (1976) estimate for total solid riverine transport<br />

(2 x 10l6 g per year, = 5 x the dissolved transport) we arrive at a figure<br />

for erosion for PO~-P of 2 x 1013 g per year.<br />

157


For specific calculations we use Meybeck's figures for erosion of:<br />

- <strong>50</strong>0 tonnes per km2 for small alpine rivers;<br />

- 200 tonnes per km2 for middle sized basins (A= about 100,000 km2) and<br />

- 140 tonnes per km2 for large basins (A > 400,000 km2),<br />

while rivers in a low relief area have values about 10 times lower. With<br />

this kind of calculation we arrive at a value for the mine of about 4,000<br />

tonnes.<br />

Silicate - Phosphate Ratio6<br />

A second calculation makes use of the ratio Si02-Si/POs-P, which we<br />

found to be around 100/1 in many unpolluted rivers in Africa and Southern<br />

France. This calculation gives a POh-P load in the Rhine of about<br />

10,000 tonnes. Human waste can be estimated to be around <strong>50</strong>,000 tonnes<br />

per year, based on an annual POs-P production 1.5 of kg per year per<br />

person.<br />

Agricultural Phosphate<br />

Agricultural runoff can be estimated at 1,000 - 10,000 tonnes per<br />

year assuming a runoff of 0.05-0.5 kg per ha per year. The total of these<br />

three fractions is about 65,000 - 70,000 tonnes per year, not far from<br />

the measured value.<br />

Phosphate Availability - Algal Bioassays<br />

Availability of sediment phosphate was studied by algal bio-assays,<br />

using Scenedemus as a test organism. All sediment yielded a good algal<br />

growth, although not all the phosphate appeared to be available. It seems<br />

that the phosphate bound into the clay lattice (the "natural" clay phosphate)<br />

is not available for algae, although it is readily available for agricultural<br />

crops. Phosphate freshly adsorbed onto clay is easily available to algal<br />

cultures.<br />

Phosphate Availability - Chemical (NTA) Desorption<br />

It was found that with NTA (nitrilotriacetic acid) an amount of phosphate<br />

could be extracted equal to that used by algae. Iron bound phosphate is<br />

entirely available, while the availability of apatite depends on the<br />

crystal size. Whether this potential availability can indeed be used in<br />

the real lake situation depends largely of course on the hydrodynamics<br />

of the system.<br />

158


Long Term Studies<br />

Experiments in an artificial pond (enclosure type) supported the<br />

results of the bioassays. In half a year's experiment well over 1 g. per<br />

m2 of POq-P was released by the sediments. The NTA extractable phosphate<br />

fraction decreased in the same period <strong>50</strong>%. by<br />

A Sediment Phosphate Model<br />

A schematic model discussed relates to the importance of sediment<br />

phosphate to the general phosphate cycle.<br />

Colterman, H. L., 1973. Natural phosphate sources in relation to<br />

phosphate budgets. Water Research 7, 3-17.<br />

Golterman, H. L., 1977. Sediments as a source of phosphate for algal<br />

growth (In press. Proceedings of a symposium, held in Amsterdam<br />

September 1976. Interactions between sediments and freshwater)<br />

Junk/Pudoc, The Netherlands.<br />

Meybeck, M ., 1976. Total mineral dissolved transport by world major<br />

rivers. Hydrological Sciences-Bulletin-des Sciences Hydrologiques<br />

XXI, 2 611976.<br />

Van Wazer, J R., (ed), 1961. "Phosphorus and its Compounds," 2 Vols.,<br />

Vol. 2, Interscience, New York".<br />

159


DISCUSSION<br />

Dr. D. BouZdin: Does the soil in the agar disc undergo reduction during the<br />

assay or does it remain oxidized?<br />

Dr. H. Goltermun: It remains oxidized.<br />

Dr. ,J. Shapiro: What concentrations of NTA do you use for extracting?<br />

Dr. H. Golteman: 0.01 molar, pH about 7-8.<br />

L%. d. Shupiro: Do you think the concentrations that would normally be<br />

expected from use of NTA in detergents could have any effect?<br />

Dr. H. I;olteman: No, this is about a thousand times as much.<br />

161


I NTRODKT I ON<br />

Forms and Sediment Associations of Nutrients (C.N. & P.)<br />

Pesticides and Metals<br />

Nutrients - P<br />

T. CahiZZ<br />

The purpose of this discussion is to summarize current knowledge<br />

of phosphate transport, particularly as developed during the past four<br />

years. Prior to 1972, measurement of both orthophosphate and total phosphate<br />

in natural river systems was done on a grab sampling basis, usually<br />

without corresponding stream flow measurement. The inclusion of total<br />

phosphate as a regular water quality parameter was actually not widespread<br />

prior to the mid-l960's, so that the historical record is both short and<br />

largely qualitative. A typical record of this type is shown in Figure 1.<br />

The absolute variability of concentration over time can be estimated from<br />

such records, but any projection of mass flux rate or annual mass transport<br />

is fraught with error.<br />

A number of studies conducted during 1972, 1973 and 1974, (e.g.<br />

Baker and Kramer, 1973; Cahillg &. 1974) have been based on sampling<br />

procedures utilizing synchronous measurement of storm flow and chemistry,<br />

with particular emphasis upon storm events. This research has yielded<br />

several facts regarding the behaviour of phosphate loadings.<br />

The concentration of total phosphate increases with stream<br />

discharge, so that the phosphate chemograph closely parallels<br />

the hydrograph.<br />

Soluble phosphate behaves quite differently from total phosphate.<br />

Strong correlations are often found between total phosphate<br />

and suspended solids concentrations.<br />

Mass transport during storms tends to comprise very a large<br />

proportion of total annual phosphate loadings.<br />

Past methods of estimating long term phosphate loadings on the<br />

basis of average concentrations have severely underestimated<br />

annual mass transport.<br />

More recent studies have continued to build on this knowledge. I<br />

The present discussion is based on the findings of three such investigations:<br />

1) analysis of Lake Erie tributaries in the LEWMS' project (COE',<br />

1975); 2) the Maumee River Basin Study conducted for the GLBC3 (GLBC,<br />

1976); and 3 ) recent analysis of data for Honey Creek in the Sandusky River<br />

Basin of northwest Ohio. Honey Creek has served as a pilot study area in<br />

the continuation of the LEWMS project and thus has been the of focus<br />

considerable water quality analysis. (See Figure 2 )<br />

' Lake Erie Wastewater Management Study<br />

* United States Army Corps of Engineers<br />

Great Lakes Basin <strong>Commission</strong><br />

163


"""" 4<br />

"I<br />

i:<br />

4<br />

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0 """<br />

"""- -I=I____<br />

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165


Increased knowledge of the mechanisms whereby phosphorus is<br />

released from insoluble forms has suggested that the proper focus of<br />

attention in lake eutrophication studies is total phosphate, rather than<br />

soluble phosphate or orthophosphate alone. Analysis of the behaviour of<br />

total phosphate in river systems has been limited primarily to examination<br />

of relationships with discharge. In the Lake Erie basin, the strongest<br />

positive relationships with discharge are found in the western tributaries<br />

such as the Maumee (Figure 3); the weakest associations occur in the eastern<br />

basins such as the Cattaraugus (Figure 4). Prior studies in the Brandywine<br />

basin of southeastern Pennsylvania have also indicated relatively poor<br />

relationships (Figure 5 ).<br />

Analysis of total phosphate is complicated by the fact that<br />

different sources and transport mechanisms are dominant under different<br />

flow conditions. Loadings at high flow consist very largely of insoluble<br />

sediment-associated phosphate derived from nonpoint sources. During lowflow<br />

conditions, soluble phosphate from point sources is likely to predominate,<br />

although nonpoint sources such as agriculture and on-site disposal<br />

of domestic waste may also be important. The behaviour of total<br />

phosphate concentrations over time is therefore likely to reflect the mix<br />

of sources present in a watershed.<br />

A convenient step in analyzing conventional water quality records<br />

is to partition total phosphate into two components: orthophosphate, and<br />

total minus ortho phosphate. The latter is treated as an estimate of<br />

particulate phosphate, although it is known to be only approximate.<br />

(Investigators must of course acknowledge that phosphate delivered to a<br />

river system in soluble form may adsorb to particulate material in while<br />

transport). Separate analysis of these phosphate components will not<br />

necessarily establish the relative importance of specific pollutant sources,<br />

but can be very helpful in clarifying the nature of loading mechanisms.<br />

Ideally, such studies should include detailed chemical/hydrologic modeling<br />

of river basins. An intermediate level of empirical analysis is possible,<br />

however, which goes beyond simplistic plotting of the data without attempting<br />

to specify explicitly all the causal linkages responsible for observed<br />

loadings. The Honey Creek findings discussed below represent the outcome<br />

of this type of intermediate analysis.<br />

ORTHOPHOSPHATE<br />

Unlike total phosphate, orthophosphate concentrations have not<br />

been found to bear a positive association with stream discharge in most<br />

river studies, and may in fact be inversely related to discharge over the<br />

lower flow range. Such an inverse relationship may be linked to dilution<br />

of point source effluents. In the Brandywine Creek studies,'orthophosphate<br />

concentrations have been found to obey relationships of the following form:<br />

166


16 7<br />

1/9W ‘d lt1101<br />

c d d 4 0 0 0 0<br />

ID 0 Lo 0 ID 0 ID 0<br />

P<br />

N 0<br />

In N 0 c: L”


1.5 -<br />

1.2 -<br />

0.9 -<br />

0.6 -I<br />

0.3 - +<br />

'<br />

.<br />

.<br />

H"H+H<br />

0 41<br />

DISCHRRGE IN CFS<br />

Figure 4. Cattaraugus Creek at Gowanda, New York<br />

Spring 1975 Sampling Period, From LEWMS, 1976


L<br />

-<br />

=<br />

2000-<br />

$i<br />

In<br />

E<br />

c!<br />

2<br />

5 1<strong>50</strong>0<br />

E<br />

W<br />

!z<br />

X<br />

v)<br />

e 1000-<br />

n<br />

d<br />

4<br />

I-<br />

O<br />

I-<br />

<strong>50</strong>0<br />

0<br />

I I I I I I<br />

4000 8000 12000 16000<br />

FLOW cubic feet per second<br />

Figure 5. Composite of Storm Samples, 1973<br />

Chadds Ford<br />

169


C Cws + ~QP (C - Cms)<br />

Q<br />

where: C = orthophosphate concentration;<br />

CWs = orthophosphate concentration from nonpoint sources;<br />

Qp = discharge from point source "P";<br />

C = orthophosphate concentration in effluent from point<br />

P source "P";<br />

Q = stream discharge.<br />

The quantity Cms represents a base-level orthophosphate concen-<br />

tration which is related to the land use characteristics and natural features<br />

of the watershed. In the Lake Erie basin, values of Cms appear to range from<br />

100-200 pg/l in the heavily-impacted western tributaries such as the Portage,<br />

to 10-20 pg/l in the eastern watersheds. Loss of orthophosphate due to adsorption<br />

during transport may affect these relationships, although the influence<br />

of this factor is undetermined.<br />

Somewhat different findings have been obtained for Honey Creek,<br />

a basin which was chosen as a test area partly because of its agricultural<br />

nature and absence of major point sources. The orthophosphate concentration<br />

in Honey Creek appears to be positively related to discharge--but only during<br />

certain periods of the year. Analysis of Honey Creek data has been conducted<br />

by partitioning streamflow into two components; direct runoff, and groundwater<br />

outflow. The former consists of surface runoff from rainfall and snowmelt<br />

events, plus a portion of infiltrated water which passes rapidly to the tile<br />

drains underlying agricultural land. Flow separation has been accomplished<br />

solely on the basis of discharge records at the watershed mouth; experimentation<br />

indicates that the methodology utilized is not critical. The analysis of<br />

orthophosphate has then been based on the assumption that each observed<br />

concentration represents a weighted average of orthophosphate concentrations<br />

in the two flow components. That is,<br />

where: CD =<br />

CG =<br />

Q,, Q, =<br />

orthophosphate concentration in direct runoff;<br />

orthophosphate concentration in groundwater outflow;<br />

streamflow due to direct runoff and groundwater<br />

outflow, respectively;<br />

The imputed orthophosphate concentrations CD and CG have been<br />

estimated by regression analysis, utilizing the 1976 record for Honey Creek<br />

which spanned 7 months and contained more than 300 observations. Values of<br />

C and C were allowed to vary among different portions of the sampling<br />

D G<br />

period (through the use of dumy variables yielding the interesting results<br />

shown in Figure 6). Both of the imputed concentrations followed a similar<br />

pattern, falling from moderate levels in mid-winter to low values in April,<br />

then rising to high levels in June and July. The seasonal variation was<br />

more pronounced for the imputed orthophosphate Concentration in direct runoff;<br />

and this quantity was generally higher than the imputed groundwater concentration.<br />

170


0.200 0.200- -<br />

"1 "<br />

' DIRECT RUN OFF<br />

I<br />

I<br />

I<br />

I<br />

I<br />

I<br />

0.160 0.160- -<br />

I<br />

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1""""""g<br />

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w<br />

y 0.08 -<br />

y 0.08-<br />

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0.04 -<br />

I<br />

I<br />

I<br />

I<br />

I<br />

I<br />

I<br />

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r""-d<br />

r""-d<br />

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p m " l<br />

I<br />

I<br />

I<br />

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I<br />

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I<br />

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I<br />

GROUNDWATER<br />

OUTFLOW<br />

Figure 6. Imputed Orthophosphate Concentrations in Direct Runoff and Groundwater<br />

Outflow<br />

Honey Creek Watershed, 1976


The rise in concentrations from April to June is believed to be<br />

related to fertilizer application on agricultural land. This finding, if<br />

verified in other watersheds, could provide an important index of the<br />

agricultural contribution to phosphate loadings. The decline in concentrations<br />

from January to April could represent exhaustion of the soluble<br />

phosphate available from agricultural activities in the previous year. The<br />

mid-February decline in the direct runoff concentration could also be<br />

related to another factor. Discharge during the previous period was caused<br />

primarily by snowmelt, and contained unusually low suspended solids concentrations<br />

(see discussion below). The rate of phosphate adsorption during<br />

transport could therefore have been relatively low, due to lack of available<br />

sites. The decline in orthophosphate concentrations which followed the<br />

major rainstorm in February 16 could thus represent, in part, simply a<br />

return to more normal circumstances with regard to phosphate transformation.<br />

In any case, linkage of orthophosphate concentration to the crop production<br />

cycle appears to be the only plausible explanation for the overall patterns<br />

shown in Figure 6.<br />

The two-compartment approach utilized here for analysis of orthophosphate<br />

could easily be expanded to a three-compartment approach by<br />

incorporation of the point source equation given earlier. This of mode<br />

analysis is considered promising in cases where full-scale chemical/<br />

hydrologic modelling is not feasible.<br />

PARTICUATE PHDSPHATE<br />

There is little question that most of the total phosphate in<br />

transport during storm flow conditions is occurring in association with<br />

particulate matter, as measured by suspended solids. The overall correlation<br />

between total phosphate and suspended solids is good for most, but<br />

not all of the Lake Erie basins, (Figure 7). Linear regressions can be fitted<br />

to these data and take the form of y = mx+b, as in the Maumee;<br />

TP (ug/l)=l. 32(SSmg/1)+153 (Maumee at Waterville, 1975).<br />

The Brandywine Basin Data also found a good relationship between<br />

total phosphate and solids, but used "Residue on Evaporation" (ROE) rather<br />

than suspended solids. bThose data showed the best curve (r' fit = 0.86) to<br />

be the power curve y=ax<br />

, yielding;<br />

Total Phosphate (pg/l) = 1.48 (ROE) 0.975<br />

Of course, the ROE measurement includes both suspended and<br />

dissolved solids, and would not be suitable for basins with relatively high<br />

dissolved solids, such as the Maumee.<br />

Recognizing that the bulk of phosphate transport occurs with<br />

particulates, it is of interest to take that portion of the total phosphate<br />

which is non-soluble, defined as TP (TP - OP = TP ), and compare its ratio<br />

P P<br />

to suspended solids as the concentration changes over a hydrograph. The<br />

linkage of total minus ortho phosphate to suspended solids concentration is<br />

extremely strong. In the statistical analysis of Honey Creek data, the<br />

only additional factor needed to explain total minus ortho P concentrations<br />

172


173<br />

N N 4<br />

LD 0 v)<br />

9 Y 9<br />

4 0 0<br />

1/9W 'd ltJ101


was stream discharge (which had a very low estimated exponent). By combining<br />

and rearranging the predictive relationships for total minus ortho<br />

and suspended solids, an expression has been obtained for the of ratio the<br />

former to the latter, as a function of discharge, seasonality, and time<br />

since start of storm. This predictive equation for the phosphorus-tosediment<br />

ratio (excluding orthophosphate) is depicted graphically in Figure<br />

8. The curves in Figure 8 relate to storm periods in the spring; summer<br />

conditions would differ slightly. The phosphorus-to-sediment ratio is<br />

found to be linked positively to time since start of storm, which is plotted<br />

on the horizontal axis, and negatively to discharge.<br />

Both of these associations are probably related to systematic<br />

differences in the composition of the suspended load carried by the stream<br />

during different flow conditions. In the early stages of storm events, and<br />

during periods of high discharge generally, a large proportion of the<br />

suspended load may consist of coarse grained materials which are relatively<br />

low in phosphorus content. Since these are the materials most likely to be<br />

lost from storm water during storage and transport, the sediment load at<br />

other times tends to be limited primarily to fine colloidal particles,<br />

which are relatively high in phosphorus. Although additional studies are<br />

needed to provide fuller understanding of these relationships, it is clear<br />

that the phosphorus-to-sediment ratio is fairly stable across storm events.<br />

During non-storm periods, the ratio tends to be somewhat higher than the<br />

values shown in Figure 8 (due in part to the more prominent role played by<br />

soluble orthophosphate).<br />

CHANNEL SCOUR AND I~POSITICN<br />

An issue which has been the subject of some discussion is the<br />

role of the stream channel in sediment transport, i.e., the extent to which<br />

observed suspended solids concentrations reflect SCOUK and deposition<br />

processes in the channel system. The Honey Creek data for the February<br />

snowmelt/thaw period provide an interesting perspective on this issue. In<br />

the four-day period from February 10 to 14, high discharges occurred entirely<br />

as a result of snowmelt and thawing of the soil surface. Suspended solids<br />

concentrations at Melmore would thus reflect channel scour, and land erosion<br />

due to surface flow, rather than raindrop impact. The low concentrations<br />

observed suggest that channel scour tends to be of relatively minor importance.<br />

The following table compares the February snowmelt period with a<br />

four-day storm period in March, which involved a somewhat higher peak<br />

discharge but similar total runoff. Both of these periods occurred approx-<br />

imately two weeks after a major storm; initial discharge in each case was<br />

90 cfs.<br />

Suspended Solids<br />

Peak<br />

Discharge in cfs Load in concentration<br />

Period Duration Peak Average metric tons (md1)<br />

Feb. 10-14 4.0 days 947 820<br />

March 3-7 4.0 days 1279 805<br />

174<br />

522 104.1<br />

19<strong>50</strong> <strong>50</strong>6.5


.0030<br />

.Ei .0020<br />

c,<br />

a<br />

a:<br />

w<br />

0<br />

a,<br />

2 .0015<br />

m<br />

><br />

.OOlO<br />

-<br />

Q= <strong>50</strong><br />

.0025 - Q=i<strong>50</strong><br />

Q=1100<br />

-<br />

-<br />

I I I I<br />

0 1 2 3 4<br />

Time Since Storm Start, in Days<br />

Figure 8.<br />

Values of the Phosphorus-to-Sediment Ratio (Excluding<br />

Orthophosphate) by Time Since Storm Start and Discharge<br />

(Q) Honey Creek Watershed, 1976.<br />

175


The total suspended solids loading was nearly four times as great<br />

in the March storm as in the February snowmelt period; and the peak concentration<br />

was five times as great. There appears to be no reason, other than<br />

the somewhat lower peak discharge, why net channel scour should be less in<br />

the February period than in the March period. Scour should perhaps be greater,<br />

due to the low utilization of transport capacity by sediment from the land<br />

surface. Thus, if these figures can be regarded as representative, one<br />

might conclude that channel scour is responsible for no more than 25% about<br />

of the total suspended solids load in a moderate storm (and possibly much<br />

less, in view of the other potential sources of sediment during snowmelt/thaw<br />

periods). The implication would be that the bulk of suspended solids and<br />

phosphorus loadings from small basins such as Honey Creek tend to originate<br />

from the land during the same storm period which in they are observed.<br />

Hydrologic Response<br />

A great deal of analysis has been done (LEWMS, 1975) which considers<br />

the variation in concentration of total phosphate with hydrologic response<br />

in different watersheds, showing the seasonality, storm duration mag- and<br />

nitude effects. Several multipeaked hydrographs have also been analyzed,<br />

and demonstrated the "hysteresis" effect. The conclusion drawn from these<br />

data is that a rigorous analysis of individual events in a watershed is<br />

necessary to understand the generation of diffuse pollutants, and any<br />

application of "annual loading factors" is misleading at best. Of particular<br />

interest in the data analyzed was the large variability in mass<br />

transport produced with different storms. It was seen that any estimate of<br />

load contributed per unit area of watershed (kg/ha) would depend entirely<br />

upon the period sampled, and thus we can begin to understand why the literature<br />

shows such a great variability when different sets of data are compared<br />

in this way. Expressed quite simply, there is no such thing as "average"<br />

mass flux produced in a watershed, but rather the diffuse pollutant transport<br />

which occurs is entirely a function of the hydrologic response of the<br />

basin, and the mechanisms which generate the response determine the pathways<br />

by which pollutants are brought into suspension or solution and pass<br />

through the system. The fact that greater storms produce greater transport<br />

per "unit area" could be interpreted to mean that an increased percentage<br />

of the basin land area was having pollutants removed form its surface, as<br />

"partial area" hydrology would suggest (Dunne, 1973). Dunne and others<br />

have suggested that the hydrologic response a of basin does not occur a on<br />

uniform basis, but that incident precipitation on certain areas produces<br />

the immediate hydrograph rise. These partial areas are flat, impervious<br />

soils with high water table, usually contiguous to the drainage channels.<br />

Since diffuse pollutant transport occurs in association with this runoff,<br />

the management implication is that only a small portion of a total watershed<br />

need be regulated to reduce the production of these pollutants.<br />

TOTAL PHOSPHATE - (~GANIC (COD) TRANSPORT<br />

One might question the possibility that much of the total phos-<br />

phate measured with storm transport is occurring in organic matter, or<br />

detritus, rather than in association with inorganic matter or soil particles.<br />

176


Everything from decaying vegetation to macroinvertebrates are flushed from<br />

a river bottom or land surface and of course contain phosphorus. The only<br />

parameter measured over hydrographs which might express the organic transport<br />

has been Chemical Oxygen Demand (COD). It has been observed that<br />

there is a very great increase in concentration of COD during runoff,<br />

reaching values averaging 40 mg/l and peaks of over 100 mg/l. This represents<br />

an organic transport which, in many basins, far exceeds the input<br />

from point sources.<br />

As far as the relationship between total phosphorus and COD goes<br />

however, it is very poor; that is, while both materials are in transport<br />

during a runoff event, they do not seem to occur in association with each<br />

other. While these data is far from conclusive, they do not support the<br />

"organic phosphorus" source possibility.<br />

PHOSP~DRUS TRANSPORT THROUGH ESTUARIES<br />

A key question pertaining to the storm transport of phosphorus<br />

out of river basins into a lake such as Lake Erie, is just how much phosphorus<br />

actually gets flushed through the estuary and reaches the lake. Knowing<br />

the nature of these estuaries, the tremendous dredging required to maintain<br />

the shipping channels and the sediment-associated nature of most of the<br />

total phosphorus, one might speculate that we have exaggerated the loading<br />

problem, and in actuality only a fraction of a tributary basin's nutrients<br />

actually reach the lake. However, synchronous sampling of riverine and<br />

estuarine stations in both the Maumee and Cuyahoga basins during several<br />

spring storms in 1975 strongly suggest, although not conclusively, that<br />

most if not all of the sediment-associated phosphate is flushed through the<br />

estuary during a large storm. A great deal more work, however, is necessary<br />

to answer this question satisfactorily.<br />

BIOLOGICAL UPTAKE DURING NON-STORM CONDITIONS<br />

One final question pertains to the phosphate which is discharged<br />

from treatment plants and either taken up by aquatic vegetation or precipitated<br />

by calcium ions to settle on the stream bottom. These mechanisms<br />

are significant in many basins, especially during summer, (TMACOG', 1976).<br />

This "point source residual" can accumulate in a stream, and subsequently<br />

may be scoured during storm runoff. However, a continuous mass balance<br />

analysis for several watersheds with large point source inputs, such as the<br />

Portage basin, demonstrated that only a minor portion of the total mass<br />

transport of phosphate during storms can be accounted for by this residual.<br />

SEARCH NEEDS<br />

In an effort to better guide the management strategies which are<br />

evolving with respect to the reduction and control of diffuse or non-point<br />

sources in the Great Lakes, some general knowledge gaps can be identified<br />

' Toledo Metropolitan Area Council of Governments<br />

177


egarding phosphate which have broad applicability to other pollutants.<br />

Because of the immediate need for this information, these deficiencies receive<br />

a higher priority than some of the long term research needs. These knowledge<br />

gaps can be filled by four general programs carried out jointly by the various<br />

agencies operating in the Great Lakes. They as are follows:<br />

(1) Evaluate the effectiveness of land management techniques,<br />

especially agricultural, for nutrient load reduction;<br />

(2) Analyze storm transported phosphate to determine long<br />

term bioavailability;<br />

(3) Develop hydrologic response models which more accurately<br />

simulate pollutant production and transport mechanisms, and<br />

(4) Evaluate both the positive and negative aspects of widespread<br />

acceptance of tillage modification techniques, such as no-till.<br />

While a great wealth of water quality data has been developed<br />

throughout the Great Lakes Basin, is it likely that additional sampling<br />

will be required for selected watersheds to accomplish the first three<br />

programs. Other important research questions should not be neglected,<br />

including a reevaluation of erosion loss analysis techniques (USLE) as<br />

applied to watersheds, modelling particulate transport during storms, lake<br />

bottom release rates and tile drainage effects, to mention only a few.<br />

However, the primary objectives of research during the next to two five<br />

years should centre on land management techniques which will actually<br />

reduce diffuse pollutants and the evaluation of present erosion control<br />

techniques to determine if they will accomplish the necessary reduction.<br />

LITERATURE CITED<br />

Baker, D. B. and Kramer, J. W., (1973). Phosphorus Sources and<br />

Transport in an Agricultural River Basin of Lake Erie,<br />

Proc. 16th Conf. Great Lakes Res.<br />

Bowen, D. H. M., (1970). The Great Phosphorus Controversy, Environmental<br />

Science and Technology, 6, 725-726.<br />

Cahill, T. H., P. Imperato and F. H. Verhoff, (1974). Evaluation of<br />

Phosphorus Dynamics in a Watershed, Journal of the<br />

Environmental Engineering Division, ASCE, April<br />

100, (EEZ), Proc. Paper 10445.<br />

-<br />

Cahill, T. H., J. Adam and D. Baker, (1976). The Importance<br />

of Diffuse Pollutants in River Chemistry, Presented at the 19th<br />

Conference on Great Lakes Research, May 1976.<br />

Cahill, T. H., P. Imperato, P. K. Nebel and F. H. Verhoff, (1975).<br />

Phosphorus Dynamics In A Natural River System, in WATER-<br />

1974, 145, 71, A.I.Ch.E., New York.<br />

Cleaves, E. T., Godfrey, A. E. and 0. P. Brinker, (1970). Geochemical Balance<br />

of a Small Watershed and its Geomorphic Implications, Geological<br />

Society of America Bulletin, e, 3015.<br />

178


Connell, C. H., (1965). Phosphates in Texas Rivers and Reservoirs, Water<br />

Research News No. 73, Southwest Water Research Council,<br />

Fort Worth Tex.<br />

Deevy, E. S., Jr., (1970). Mineral Cycles, Scientific American, 223,<br />

(3), 149-158.<br />

Dunne, T., and Black R. D., (1970). Partial Area Contributions to Storm<br />

Runoff in a Small New England Watershed, Water Resources<br />

Research, 6, 1269.<br />

Hammer, Thomas, H., (1976). Interim Report; Urban Land/Water<br />

Relationships, U.S.E.P.A., Cont. No. 68-01-3551, June 1976.<br />

Hutchinson, G. E., (1969). Eutrophication, Past and Present, Eutrophication:<br />

Causes, Consequences, Correctives, National Academy of Sciences,<br />

Washington, D. C., pp. 17-26.<br />

Johnson, N. M., g., (1969). A Working Model for the Variation in<br />

Stream Water Chemistry at the Hubbard Brook Experimental Forest, New<br />

Hampshire, Water Resources Research, 1, 1353.<br />

Keup, L. E., (1968). Phosphorus in Flowing Streams, Water Research,<br />

-<br />

2, 373.<br />

Lee, 6. F., (1969). Analytical Chemistry of Plant Nutrients, Water and<br />

Sewage Works, 116, R-38.<br />

Logan, T. J. and G. 0. Schwab, (1976). Nutrient and Sediment Character-<br />

istics of Tile Effluent in Ohio, Journal of Soil and Water<br />

Conservation, 2, (1).<br />

Mackenthun, K. M., (1965). Nitrogen and Phosphorus in Water, An Annotated<br />

United States Selected Bibliography of Their Biological Effects,<br />

Publication 1305. United States Department of Health, Education<br />

and Welfare, Division of Water Supply and Polution Control,<br />

pp. 1-112.<br />

Mackenthun, K. M., (1968). The Phosphorus Problem, Journal of the Water<br />

Works Association, 60, 1047-1053.<br />

McKee, 6. D., &, (1970). Sediment-Water Nutrient Relationships, Part 2,<br />

Water and Sewage Works, 177, 246.<br />

National Assessment of Trends in Water Quality, Environmental Control,<br />

Inc., National Technical Information Service, Springfield,<br />

Va., June, 1972.<br />

Rendon-Herrero, 0. J., (1974). Estimation of Washload Produced on Certain<br />

Small Watersheds, Journal of Hydraulics Division, ASCE, 100, 835.<br />

Rigler, R. H., (1956). A Tracer Study of the<br />

Water, Ecology, x, 5<strong>50</strong>-562.<br />

179<br />

Phosphorus Cycle in Lake


Sandoval, M. T., T. H. Cahill, and F. H. Verhoff, (1975). Mathematical<br />

Modellings of Nutrient Cycling in Rivers, Div. of Env. Chem.<br />

ACS., Phila., Pa., April 6, 1975.<br />

Wang, W. C. and Evans, R. L., (1970). Dynamics of Nutrient Concentrations<br />

in the Illinois River, Journal Water Pollution Control Federation,<br />

- 42, 2117.<br />

Wolman, M. G., (1971). The Nation's Rivers, Science, 174, 905.<br />

180


I NTRODKT I ON<br />

Forms and Sediment Associations of Nutrients (C.N. & P.)<br />

Pesticides and Metals<br />

Nutrients - N<br />

T. Logan<br />

Nitrogen along with phosphorus are nutrients that are required by<br />

most organisms in large quantities. These organisms range from the<br />

smallest bacteria to algae and also higher plants used by man for food.<br />

Many authors have cited nitrogen and phosphorus as the nutrient<br />

elements limiting productivity in waters (Mackenthun &., 1967;<br />

Hasler, 1970). Keeney indicated that N may be more important than P<br />

in limiting growth in eutrophic lakes, especially those high P in<br />

(Keeney, 1972).<br />

This review will consider:<br />

1. The forms of nitrogen involved in fluvial transport with emphasis<br />

on sediment N.<br />

2. The relative sources of nitrogen entering fluvial systems.<br />

3. The microbiological and chemical transformations of nitrogen<br />

involved in sediment-aquatic environments.<br />

4. The role of the C/N ratio in nitrogen transformations.<br />

5. Identification of research problems and knowledge gaps.<br />

1, FORMS OF NITROGEN<br />

Nitrate-N<br />

Ions<br />

- NO-3<br />

Ammonium-N NH+u<br />

Nitrite-N NO-2<br />

181<br />

soluble anion; product of<br />

nitrification; used by most<br />

organisms; not retained in<br />

soil, leaches readily.<br />

soluble cation; product of<br />

decomposition of organic<br />

materials; utilized by most<br />

organisms; retained on neg-<br />

atively charged clay particle.<br />

soluble anion; product of<br />

biological oxidation; toxic<br />

to higher plants; does not<br />

usually occur in high concentrations;<br />

will accumulate in<br />

soil or sediment at high pH<br />

and under anaerobic conditions.


Ammonia-N<br />

Nitrous oxide<br />

Nitrogen<br />

PARTICULATE FORMS<br />

Gases<br />

product of biological<br />

decomposition; toxic;<br />

evolved when pH is high<br />

or under dry soil conditions.<br />

product of denitrification;<br />

constituent of atmosphere;<br />

product of denitrification.<br />

Many attempts have been made to identify the mostly organic forms<br />

of nitrogen In biological systems. In addition to the biologically viable<br />

compounds in fauna and flora tissue including protein, amino acids, and<br />

nucleic acids. there are the complex N forms found in decomposed organic<br />

materials. This organic matter, also called humus is the product of<br />

primarily microbiological decomposition. Brenmer (1967) summarized the<br />

extensive work in soil organic nitrogen characterization. Based on this<br />

work, soil organic nitrogen may be divided into several categories (Table<br />

1). Much of the soil organic N remains unidentified and may include amino<br />

acids other than those previously identified and heterocyclic nitrogen<br />

compounds (Bremner, 1967).<br />

+<br />

The small amount of fixed MI, is primarily a consequence of the<br />

+<br />

physiochemical entrapment of NHI, ions between the internal surfaces of<br />

expandable clays such as illite (Figure 1). The degree of fixation will<br />

vary with expandable clay content and the extent of interlayer weathering.<br />

The bioavailability of particulate N has concerned agronomists<br />

for years and is also of interest to ecologists studying the impact of<br />

tributary loadings on lake water quality. Attempts to correlate N<br />

bioavailability with a particular fraction or fractions has been unsuccessful.<br />

In recent years, more attention has been given to direct bioavailability<br />

and mineralization tests (Stanford, 1968) and correlations<br />

between chemical extraction and N released by incubation (Stanford and<br />

Smith, 1976). These tests show some promise in estimating potential N<br />

mineralization in soil but have not been extended to aquatic systems.<br />

2, SOURCES OF NITFKIGEN ENTERING FLUVIAL SYSTEMS<br />

a) Runoff and Erosion - the main product of runoff and erosion is<br />

surface soil and some crop residue, leaves and other debris. Some<br />

soluble Nos-N and N1k-N is transported during runoff; however,<br />

if erosion is significant the organic soil N contribution<br />

will be much greater (Armstrong et&., 1974). Runoff sediment<br />

is enriched with nitrogen, i.e. the total N content of the<br />

sediment is higher than the soil from which it originated.<br />

Hensler and Attoe (1970) found that total N enrichment was<br />

2.7 to 5 fold. This is due to selective clay transport and<br />

also the lower density of some organic matter. The total<br />

particulate N content of sediment can be estimated<br />

from a knowledge of the soils from which it was derived.<br />

182


TABLE 1.<br />

FORMS OF PARTICULATE N IN SOILS<br />

Form X of total N<br />

Amino - N 20-40<br />

Hexosamine 5-10<br />

Purines and pyrimidines -1<br />

Unidentified forms 30-<strong>50</strong><br />

Fixed NH4 3-8<br />

TABLE 2.<br />

CHARACTERISTICS OF WASTEWATER EFFLUENTS<br />

Primary Trickling Secondary Ponds<br />

Activated<br />

Sludge<br />

”----% 1-<br />

Total N 31 16 23 23<br />

NO 3-N 0.3 6.3 3.9 0.7<br />

NH4-N 23 5.9 17.0 a. o<br />

183


CI<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0 0


Jenny (1941) in his classic thesis on soil formation indicated<br />

that soil N increased with increasing rainfall and showed that<br />

soils developed under grasses contained higher N levels than<br />

under forest vegetation (Figure 2). For most of the Great<br />

Lakes basins, the total N of virgin soils would be about 0.1<br />

- 0.25%. Cultivation has resulted in substantial mineralization<br />

of soil N (Figure 3) and present levels are about 60-70% of the<br />

virgin soil N. Further net soil N loss is quite low and crop<br />

residue management and adequate N fertlization can maintain<br />

soil N levels.<br />

b) Tile Drainage and Seepage - this source will contain mostly<br />

nitrate; low concentrations of NHb-N and dissolved organic -N<br />

may be found in tile drainage (Armstrong et&., 1974).<br />

c) Precipitation - varying amounts of N (5-<strong>50</strong> kg/ha) can be added<br />

in rainfall; made up of both nitrate and ammonia.<br />

d) Sewage - the major source of N from domestic sewage is that<br />

discharged as secondary treated effluent. Pound and Crites<br />

(1973) indicated that depending on the method of treatment (Table<br />

Z), effluent will contain varying amounts of N forms with<br />

organic N as the major constituent. The organic N is quite<br />

stable and resistant to further mineralization. Septic tank<br />

leakage can be a major component N of loading in some watersheds,<br />

but this source is difficult to quantify. Most input<br />

would be as nitrate.<br />

e) Livestock Wastes - Improper disposal of livestock wastes due<br />

to inadequate storage facilities or because of excessive<br />

application to soil can result in significant N additions to<br />

streams. Livestock wastes are highly variable in their<br />

characteristics depending on livestock type and the degree of<br />

decomposition of the manure. Runoff of fresh manure from<br />

barnlots or feedlots can result in high BOD and NH3 loadings<br />

which can have disastrous effects on downstream aquatic<br />

habitat. Leaching of NO,-N from excessively manured land will<br />

mean increased N loading. Livestock wastes vary in total N<br />

content (Table 3) and the percentage of the total N that is<br />

subject to mineralization. In general, about <strong>50</strong>% of the total<br />

N is mineral ( NHJ + NO3) and about 25-<strong>50</strong>% of the organic N is<br />

mineralizable in the first year.<br />

f) Processing Wastes - may be high in both NHk-N and organic N.<br />

BOD levels are usually high. A localized problem.<br />

g) Overall Sources of N to Great Lakes - Various estimates of<br />

point and nonpoint sources of nitrogen would indicate that about<br />

30-<strong>50</strong>% of the total N loadings are from point sources, particularly<br />

wastewater effluents. Loadings of N to Lake Erie<br />

from various tributaries (Table 4) indicate that most of the N<br />

is in the form N03-N of with smaller amounts of organic and<br />

NH4-N. If we assume an annual mineralization of 3% for the<br />

organic N (based on rates for soil N), then it would appear that<br />

sediment N is relatively insignificant as a source N of loading<br />

to Lake Erie.<br />

185


c<br />

C<br />

0,<br />

0<br />

C<br />

0<br />

C<br />

al<br />

0)<br />

2 4- .-<br />

0.300<br />

- 0 Grassland soils<br />

-<br />

8 Grassland soils (averages)<br />

- t Forest soils<br />

- + Forest soils (averages)<br />

-<br />

-<br />

-<br />

$J 0.200 -<br />

a<br />

- -<br />

.-<br />

5:<br />

-<br />

LC -<br />

0 - -<br />

C<br />

0,<br />

c -<br />

-<br />

-<br />

-<br />

- Q<br />

E 0.100 -<br />

Humidity factor (N.S.Q.)<br />

+<br />

New Jersey<br />

Figure 2. Effect of rainfall on soil N content (Jenny, 1941)<br />

+


18 7<br />

I<br />

0<br />

0<br />

0..<br />

0<br />

0


Stream<br />

Cuyahoga<br />

Sandusky<br />

Black<br />

Huron<br />

Portage<br />

TABLE 3.<br />

CHARACTERISTICS OF LIVESTOCK WASTES<br />

Dairy Cow 3.9<br />

Beef Feeder 4.9<br />

Swine Feeder 7.5<br />

Total N (Percent of total Solids)<br />

Sheep Feeder 4.5<br />

Poultry Layer 5.4<br />

Poultry Broiler 6.8<br />

Horse 2.9<br />

TABLE 4.<br />

TRANSPORT OF NITROGEN FROM STREAMS DRAINING INTO LAKE ERIE<br />

(1974-1975) LAKE ERIE WASTEWATER MANAGEMENT STUDY<br />

Sediment<br />

mt/yr x lo3<br />

1222<br />

483<br />

270<br />

136<br />

71<br />

48<br />

* Percent of total Kjeldahl-N<br />

~_______<br />

N03-N + N02-N<br />

mtlyr % *<br />

34700 594<br />

2020 120<br />

5170 85 2<br />

3520 297<br />

1180 317<br />

2100 808<br />

18 8<br />

Ammonia-N<br />

mt/yK %<br />

966 16.5<br />

476 20.3<br />

213 35.1<br />

338 28.5<br />

46 12.4<br />

57 21.9<br />

Organic-N<br />

mt/yK %<br />

5174 88.6<br />

1200 71.4<br />

394 64.9<br />

847 71.5<br />

326 87.6<br />

203 78.0<br />

Kjeldahlmtlyr<br />

5840<br />

1680<br />

607<br />

1185<br />

372<br />

260


3. BIOLOGICAL NITROGEN TRANSFONTIONS IN SEDIENT/WATER SYSTEMS<br />

The important sediment-nitrogen reactions are visualized<br />

in Figure 4 (Keeney, 1972).<br />

a) Nitrogen Fixation - primarily by blue-green algae (Cyanophyceae).<br />

Some fixation by anaerobic heterotrophs has been reported but<br />

N fixation in sediments is probably of only minor importance<br />

(Brezonik, 1971).<br />

b) Immobilization - also termed assimilation. In aquatic systems,<br />

+<br />

NHs-N assimilation is probably more significant than N03-N.<br />

Whereas, in terrestial systems (soils) bacteria and fungi are<br />

dominant in N assimilation, in aquatic systems the phytoplankton<br />

and herbivorous zooplankton are more important because of their<br />

numbers and capacity to assimilate organic materials. Bacteria<br />

play an important role in the decay of these organisms. Bacteria<br />

may aLso be very important in utilizing organic N secreted by<br />

zooplankton and converting it to mineral N (Keeney, 1972).<br />

c) Mineralization - Ammonification - Decomposition of organic<br />

materials by heterotrophic bacteria results in the release of<br />

mineral N as NH;. N regeneration, i.e. net N release, is<br />

determined by the stability of organic forms and the ability<br />

of the bacteria to convert organic C to cellular C (Foree<br />

" et al., 1971). Net mineralization appears to be less efficient<br />

under anoxic conditions than when the system is aerated. The<br />

degree of mineralization of organic N in sediments will depend<br />

on the extent to which the organic material is humified (Bremner,<br />

1967). Recent organic deposits will be mineralized to a greater<br />

extent than organic N from soils. In addition, there is some<br />

degree of stability imparted by the interaction of organic compounds<br />

with clay minerals. Zooplankton are involved in ammonification by<br />

excreting NH3 and amino acids which they gain by feeding on<br />

phytoplankton + detritus. Johannes (1968) believes this<br />

to be the dominant mechanism of ammonification in surface<br />

waters. Direct autolysis after cell death may account for<br />

30-<strong>50</strong>% of N released from plant and animal material. Bacterial<br />

decomposition is considered to be of minor importance in N<br />

mineralization in shallow lakes except where sewage contributes<br />

large amounts of organic matter. In sediment systems, however,<br />

bacterial and fungal mineralization is the dominant process.<br />

d) Nitrification - Biological oxidation of nitrogen to nitrite and<br />

nitrate is performed by heterotrophs including bacteria, fungi<br />

and algae; however, these are of limited importance compared with<br />

the autotrophic bacteria. The net nitrification is given as:<br />

N H + ~ 20; -f NO; + H ~ + O ZH+ + energy<br />

Nitrite, NO;, is an intermediate oxidation product, but is rzrely<br />

present in significant concentrations because the rate NOz of +<br />

oxfdation is much faster than the initial oxidation NHr of to<br />

N02.<br />

189


ATMOSPHERE<br />

WATER NO,-, NH,', Organic N<br />

SEDIMENT ~,y<br />

{ Rainwater 3<br />

External Sources<br />

Particulate organic N-NH,'<br />

[-I - NH,' (Soluble<br />

(Nitrification)<br />

Exchangeable)<br />

9<br />

NO,- in Groundwater<br />

Figure 4. Generalized nitrogen cycle in waterlsediment system (Keeney, 1972)


The conditions for nitrification are favourable in fluvial Systems<br />

above 1 O C and there is evidence to indicate that nitrification<br />

will also proceed in bottom sediments if they are stirred and pH<br />

buffered (Keeney, 1972).<br />

e) Denitrification - The biological reduction of nitrate to gaseous<br />

N (NO, NzO, N2). This is a significant reaction in streams and<br />

lakes, leading to loss of nitrogen from the system. Bacteria<br />

responsible for denitrification include species of the genera<br />

Pseudomonas, Alcaligenes, Achromobacter, Bacillus and Micrococcus.<br />

Denitrification occurs in the absence 0,, of induced by 0,<br />

consumption during decomposition of organic material (BOD) and<br />

by the limitation of O2 diffusion in quiescent water. Denitrification<br />

is limited by temperature (optimum at 60-65°C<br />

and considerable activity above 20°C) and pH (optimum at pH's<br />

near 7). Denitrifiers require a readily available source of<br />

organic carbon. Denitrification will be high in high BOD stream<br />

sections, especially where the organic carbon is easily decomposable.<br />

Denitrification - nitrification can occur simultaneously (Keeney,<br />

1972) and this process is responsible for much of the disappearance<br />

of NOB-N from lakes. The role of denitrification in fluvial N03-N<br />

balance has not been studied extensively; however, it would appear<br />

that conditions for denitrification would be optimum during low<br />

flow summer periods if sufficient carbo? is present. Reddy<br />

al. (1976) have recently shown that NHs in the anoxic zone<br />

of sediment can be denitrified NH,, + as diffuses into the oxic<br />

zone and is nitrified. The nitrate then diffuses down into the<br />

anoxic zone where it is decitrified.<br />

4, THE F~LE OF THE CARBON/NITROGEN RATIO IN NITROGEN TRANSFORNITIONS<br />

All organisms have a characteristic C/N ratio, depending on<br />

the relative amounts of protein in their biomass. Higher plants<br />

may range from as high as 1OO:l for some straw residues to as low<br />

as 2O:l for some of the legumes (Brady, 1974). Bacteria and other<br />

microorganisms have a ratio of about 9:l. During the heterotrophic<br />

decomposition of organic materials, mineral N (N03-N) may be assimilated<br />

or released depending on the C/N ratio of the mineral being decomposed<br />

(Figure 5). Much of the N assimilated by the heterotrophs will be<br />

mineralized as these organisms themselves die and are decomposed. The<br />

N not mineralized becomes part of the solid phase (soil or sediment)<br />

as organic matter with a C/N ratio of about 10-12:l. This nitrogen<br />

is quite resistant to further decay. The C/N ratio of decomposable<br />

material in transport will determine if there is a net gain or loss<br />

of N from the system due to microbiological transformations.<br />

5. SEDIPENT-NITROGEN TRANSFORMATIONS DURING FLUVIAL TRANSPORT<br />

a) During Storm Runoff - during periods of maximum transport in the<br />

early spring, biological nitrogen transformations will be minimal<br />

due to the short transport intervals and cooler temperatures.<br />

191


192


Sediment nitrogen will closely reflect source materials (eroded<br />

soil, resuspended bottom sediments). These sediments are likely<br />

to have C/N ratios of about 10-12:l to and be quite stable.<br />

Low Flow Winter Runoff - this is a period of minimum sediment<br />

transport. Most of the nitrogen transported will be NOS-N from<br />

seepage and tile flow with some NHq-N from point discharges.<br />

There will be a minimum of biological activity.<br />

Low Flow Summer Runoff - during this period, sediment transported<br />

will be low; nitrogen transport will be minimal and confined to<br />

point sources. Biological activity will be high. Sediment-water<br />

phase reactions involving biological nitrogen transformations<br />

will be operating under optimum conditions. Nitrate will be<br />

removed from the water phase by assimilation and denitritifation.<br />

The net addition or removal of N frpm the system will depend<br />

on the environmental conditions determined by stream characteristics.<br />

Sediment acts to buffer the transport of nitrogen as it<br />

does for phosphate. The multitude and complexity of biological<br />

N transformations make N transport a very dynamic process and<br />

makes estimation of delivery ratios to streams difficult (McElroy<br />

" et al., 1976).<br />

6, GAPS IN CURRENT WWLEDGE<br />

Most of the available literature pertains to terrestial or lake<br />

systems. In-stream nitrogen transformations involving sediment<br />

nitrogen have not been studied extensively.<br />

The extent of microbial and algal N fixation in streams not is<br />

known.<br />

A satisfactory model for N transformation during fluvial transport<br />

is needed; this is especially true of in-stream assimilation and<br />

denitrification.<br />

The extent of transport of N in organic materials (crop residues,<br />

leaf litter, detached aquatic vegetation and zooplankton) needs<br />

to be further elucidated.<br />

Analytical methods to determine bioavailability of suspended<br />

sediment nitrogen should be developed.<br />

The effect of estuaries on nitrogen loadings to the lake is not<br />

known.<br />

In summary, the processes of nitrogen cycling and interchange<br />

in sediments are complicated and poorly understood. The mechanisms whereby<br />

nitrogen is exchanged between water and sediments are probably known,<br />

and in some cases qualitative rankings can be given to their importance.<br />

However, almost no information is available to establish the in situ<br />

rates and controlling factors for these processes (Brezonik, 1971).<br />

193


LITERATURE CITED<br />

Armstrong, D. E., K. W. Lee, P. D. Uttomark, D. R. Keeney, and R. F.<br />

Harris, (1974). Land Use/Water Quality Relationships in the<br />

U.S. Great Lakes Basin. Task A6: Nutrients. PLUARG, IJC,<br />

Windsor. Ontario.<br />

Brady. N. C., (1974). The Nature and Properties of Soils, 8th Edition,<br />

Macmillan, New York.<br />

Brewer, J. M., (1967). Nitrogenous Compounds. In Soil Biochemistry,<br />

A. D. McLaren and G. H. Petersen, Eds., Marcel Dekker, N. Y., pp.<br />

19-66.<br />

Brezonik. P. L., (1971). Nitrogen: Sources and Transformations in<br />

Natural Waters. Presented at American Chemical Society, Los<br />

Angeles, California.<br />

Foree, E. G., W. J. Jewel1 and P. L. McCarty, (1971). The Extent of<br />

Nitrogen and Phosphorus Regeneration from Decomposing Algae.<br />

Water Research, I (27).1-15.<br />

Hasler, A. D., (1970). Man-Induced Eutrophication of Lakes. Global<br />

Effects of Environmental Pollution, S. F. Singer, Ed. Springer-<br />

Verlag, N. Y., pp. 110-125.<br />

Hensler, R. F. and 0. J. Attoe. (1970). Rural Sources of Nitrates<br />

in Water. Proc. 12th Sanit. Eng. Conf., Nitrate and Water Supply,<br />

Source and Control, Univ. Illinois. Bull., %,(2),86-98.<br />

Jenny, H., (1941). Factors of Soil Formation. McGraw-Hill, New York.<br />

Johannes, R. E., (1968). Nutrient Regeneration in Lakes and Oceans.<br />

Adv. Microbiol. Sea., 1,203-212.<br />

Keeney, D. R.. (1972). The Fate of Nitrogen in Aquatic Ecosystems.<br />

Eutrophication Information Program, University of Wisconsin,<br />

Madison, Wisc.<br />

McElroy, A. D., S. Y. Chiu, J. W. Nebgen, A. Aleti and F. W. Bennett,<br />

(1976). Loading Functions for Assessment of Water Pollution from<br />

Nonpoint Sources. Midwest Research Institute, EPA-600/2-76 151.<br />

Mackenthun, K. M. and W. I. Ingram, (1967). Biological Associated<br />

Problems in Freshwater Environments - U.S. Dept. Interior, FWPCA,<br />

Washington, D. C.<br />

Nomnik, H.. (1965). Ammonium Fixation and Other Reactions Involving a<br />

Nonenzymatic Immobilization of Mineral Nitrogen in Soil. In<br />

Soil Nitrogen, Amer. SOC. Agron. Monograph No. 10.<br />

Pound, C. E. and R. W. Crites, (1973). Characteristics of Municipal<br />

Effluents. Proc. <strong>Joint</strong> Conf. Recycling Municipal Sludges and<br />

Effluents on Land, Champaign, Ill.<br />

Reddy, K. R., W. H. Patrick, Jr. and R. E. Phillips, (1976).<br />

Ammonium Diffusion as a Factor in Nitrogen Loss from Flooded<br />

Soils. Soil Sci. SOC. her. Journ., 3,528-533.<br />

194


Stanford, G., (1968). Extractable Organic Nitrogen and Nitrogen<br />

Mineralization in Soil. Soil Sci., 106,345-351.<br />

Stanford, 6. and S. 3. Smith, (1976). Estimating Potentially<br />

Mineralizable Soil Nitrogen from a Chemical Index of Soil<br />

Nitrogen Availability. Soil Sci., =,71-76.<br />

ADDITIONAL LITERATURE<br />

Likens. G. E., (1972). Nutrients and Eutrophication: The Limiting-<br />

Nutrient Controversy, Symposium. American Society of Limnology<br />

and Oceanography, Allen Press, Lawrence, Kansas.<br />

Allen, H. E. and J. R. Kramer, (1972). Nutrients in Natural Waters.<br />

Environmental Science and Technology Series, Wiley-Interscience,<br />

John Wiley and Sons, New York.<br />

195


DISCUSSION<br />

Dr. R. Swank: Relative to your problem on nitrogen balances in marshes or<br />

the ability of marshlands and wetlands to attenuate the nitrogen loads,<br />

there is a large study going on now, sponsored by the Smithsonian Institute<br />

in the Chesapeake Bay area in Maryland, in which I understand, they are<br />

focusing primarly on nitrogen, phosphorus and carbon in wetlands. This is<br />

in both salt water marshes and freshwater marshland. We hope to get some<br />

useful data out of that. The laboratory where I work (U.S. EPA, Athens,<br />

Georgia) is also sponsoring some work at the Westpoint Military Reservation<br />

where there are rather extensive small freshwater marshes driven almost<br />

entirely by sub-surface flow, intermittent flows and runoff from primarily<br />

forested and pasture type land use. There are no pasturing animals on it,<br />

just grassland. That might also be very useful for this purpose. We are<br />

focusing on that area with regard to some modelling studies. It is a major<br />

plus because the data so far suggest that marshes are particularly effective<br />

in absorbing nitrogen - i.e. denitrification. They appear to be great sinks<br />

for nitrogen of all forms, less so for phosphorus and the carbon situation<br />

is unclear. Frankly, there apparently seems to be an equilibrium in the<br />

marshes, but there are a lot of data being generated there lot and of a<br />

research interest in that domain as well.<br />

With regard to the nitrogen sources there is some work that<br />

was done by EPA in the agricultural runoff model. We are taking a very<br />

close look at the runoff forms of nitrogen by continuous simulation, but<br />

it is a process model. It is essentially a marriage of the lump parameter<br />

hydrology model with a process nitrogen model. We are doing a lot of calibration<br />

of that model or testing it, as well as calibration of parameters in<br />

various locations around the U.S. We have four years of data at Watkinsville<br />

which is in Piedmont, Georgia, near the location of my laboratory. Those<br />

data are about to be published and should be of great interest both from<br />

pesticides, sediment, water yield and nitrogen yield for agronomic crop growth<br />

operations. There are about four different watersheds, a variety of practices,<br />

a variety of crops and a variety of management practices.<br />

We have extended that study rather comprehensively to Iowa<br />

State University on Four Mile Creek. Iowa State, Purdue and EPA are involved<br />

in that one as well. We are looking at in-stream processes there, trying to<br />

make some kind of rational judgements about the kinds of nitrogen work you<br />

are talking about as a data gap. We recognize it also as a severe data gap.<br />

We hope to have some data out of that, in of terms sediment movements in streams,<br />

loading and dynamic loading. Continuous simulation is the approach we are<br />

taking. We have extended that further to do some regionalization based on<br />

197


the Smithsonian Institution's work primarily in the Chesapeake Bay area. We<br />

are participating in that study again with the of idea calibrating on a<br />

regional basis the R model with this kind of concept. The U.S. Department<br />

of Agriculture is involved in that with some of their continuous simulation<br />

approaches. I think they are going to look at ACMO and some of the other new<br />

models they have developed recently. So we again are hoping to "piggy-back"<br />

onto many researchers for this kind of work. I just wont to indicate that<br />

there is a lot of work underway in some of these data gap areas that may<br />

directly relate to the problems of the Great Lakes, even though they are not<br />

in fact being done in assocation with any of the Great Lakes programs.<br />

198


I NTRODKT I ON<br />

Forms and Sediment Associations of Nutrients (C.N. & P.)<br />

Pesticides and Metals<br />

Pesticides<br />

H. 8. Pionke<br />

It is my intention to assist in the PLUARG endeavour by identifying<br />

significant gaps in current knowledge and to define associated research<br />

needs relative to specific problems of the Great Lakes Basin. The emphasis<br />

is on: (1) determining the impact of land use activities on boundary waters<br />

rather than upstreams areas; (2) defining pesticide research needs to answer<br />

specific problems or to meet needs of the Great Lakes Basin rather than to<br />

answer general issues in pesticide research; and (3) developing practical<br />

remedial measures for correcting the identified problems. The last two needs<br />

imply a sufficiently good forecasting and inventory capability to establish<br />

present pesticide use and near-future trends.<br />

Because the impact of a pesticide in boundary or upstream waters<br />

is going to be related to pesticidal bioactivity in some phase such as the<br />

sediment, aqueous, or vegetative phases, the planner's objective is to<br />

estimate or determine this bioactive concentration. The bioactive concentration<br />

depends on the pesticidal concentration and its toxicity. In turn,<br />

the pesticide concentration observed in a phase at a downstream point<br />

depends on upstream use, persistence, the characteristic pesticide distribution<br />

between phases, and the resultant hydrologic dilution. Relatedly,<br />

the expected toxicity may be abnormally reduced by adsorption or incorporation<br />

of the pesticide or abnormally increased to some target species by<br />

the presence of other pesticides or chemicals (i.e. synergism).<br />

The title of this paper "Forms and Sediment Associations of<br />

Pesticides" defines an important part of the environmental system that<br />

exerts controls on pesticidal toxicity and concentration in selected phases.<br />

For example, pesticidal persistence, toxicity and concentration of the<br />

pesticide distributed between phases can be substantially altered by sediment<br />

during loss, transport and in the impact area. However, it is the author's<br />

opinion that environmentally-oriented, future pesticide research must first<br />

be considered in the context of the total system before one component of<br />

this system, i.e., the adsorbed and sediment-associated phase can be isolated<br />

and considered separately. The current gaps in present knowledge relative<br />

to this workshop's objectives are still at a system rather than a component<br />

scale. Thus, the pesticide-sediment interaction will not be discussed<br />

separately but within the context of the dominant environmental and pesticide<br />

properties controlling the pesticide bioactivity in a phase.<br />

199


In order to usefully answer the three questions posed by IJC the<br />

in term of this assignment and the workshop objectives. a more appropriate<br />

set of questions needs to be asked. Basically, these are: "Which pesticides<br />

have potentially the greatest impact?" and "For those pesticides selected<br />

as having potentially the greatest impact, what are the dominant environmental<br />

conditions reasonably occurring in the Great Lakes that substantially<br />

alter the expected downstream environmental hazard?" Specific answers to<br />

these two questions would likely place research emphasis on a select few<br />

pesticides and the dominant environmental conditions.<br />

My paper will refine and expand these two questions into a philosophy<br />

to select pesticides and their key environmental interrelationships<br />

for special research emphasis. This is followed by several specific recommendations<br />

most of which are aimed at improving the selection process.<br />

The selection process is described by answering the questions which are<br />

subdivided and mare clearly defined for purposes of better organizing the<br />

folloving discussion.<br />

They are: (1) Which pesticides are and will be applied in large<br />

quantities to major watersheds within the Great Lakes Basin? (2) Of these,<br />

which pesticides have the basic properties that alone or in combination<br />

create a potential environmental hazard under a reasonably selected standard<br />

set of environmental conditions? and (3) What known or expected environmental<br />

changes in subunits of the watershed could substantially alter the potential<br />

environmental hazard of pesticides earlier identified by answering the<br />

previous two questions? Generally, the text will follow the flow chart<br />

(Figure 1).<br />

Which pesticides are and will be applied in large quantities to<br />

major watersheds in the Great Lakes Basin? This is the most important<br />

information need for selecting pesticide research. To do this adequately,<br />

annual surveys by specific pesticide according to subwatersheds are needed.<br />

This will tie time and area distributions of application together. To<br />

date, this information is not available for the Great Lakes Basin. Best<br />

current sources of information are the periodic surveys (1964. 1966, 1971)<br />

by the Economic Research Service, USDA, which are presented according to<br />

combined State rather than watershed boundaries and by the Ontario Ministry<br />

of Agriculture and Food publication, which more closely coincides with<br />

watershed boundaries. However, the latter is still not current, the latest<br />

year of publication being 1973. The Great Lakes states (Michigan, Minnesota<br />

and Wisconsin) were chosen for comparison because this grouping had the<br />

highest percentage of land area draining into the Great Lakes of Basin any<br />

state grouping. This was approximately one-half the total land area of<br />

these three states.<br />

Note that by using these data to designate present use and to<br />

establish use trends in selected Great Lakes states and Ontario (Table l),<br />

it is apparent that the organochlorine insecticide use has decreased<br />

dramatically. Increased use of methoxychlor, chlordane and the relatively<br />

stable usage of toxaphene in the U.S. contradict this overall trend. The<br />

200


FIGURE 1 A FLOW DIAGRAP: FOR IDENTIFYING PESTICIDE RESEARCH PRIORITIES IN<br />

THE GREAT LAKES BASIN<br />

\<br />

(Toxic, persistent<br />

and adsorbed)<br />

(intermediate<br />

icology and/or persistence)<br />

I<br />

tox- t<br />

RESEARCH AUTOPIA-<br />

TICALLY CONSIDERED<br />

FOR ENVIR- COMMON<br />

ONMENTL CONDITIOMS<br />

PEST IC IDES 7 PERT I NENT ENV I RONMENTAL<br />

EXCLUDED (Toxicity PROPERTIES THAT SUBSTAN-<br />

FRY; STUDY ~ ~ ~ { ~ ~ c TIALLY ~ e rALTER - TOXICITY,<br />

greatly<br />

reduced)<br />

PERSISTENCE OR ADSORP-<br />

TIVITY (NON STANDARD BUT<br />

EXPECTED ENVIRONMENTAL<br />

CONDITIONS)<br />

I<br />

(Toxicity andfor<br />

persistence. adsorptivity<br />

greatly increased)<br />

4<br />

INDICATE WHICH PESTI-<br />

CIDES SHOULD BE STUD- t<br />

IED AND IN WHAT CONTEXT<br />

201<br />

I


N<br />

0,<br />

Table 1. Quantities of Organochlorine Insecticides (1000 lb units active ingredients) used in Lake States<br />

(Michigan, Wisconsin and Minnesota) for 1964, 1966 and 1971 and in Ontario, Canada for 1968-1973.<br />

Lakes State-<br />

11<br />

Ontario, Canada- 21<br />

Insecticide 1964 1966 1971 Trend 1968 1970 1969 1973'<br />

- -<br />

Aldrin 761 717 93 Greatly decreased 3263 27<br />

Chlordane - 154 225 Increase (8)- 41<br />

(74) 82 (105)<br />

DDD 104 108 1 Greatly decreased 296 85 463 -<br />

DDT 511 430 2<br />

I,<br />

Dieldrin 69 97 - 0.3 0.8 -<br />

Endosulfan - 32 2 Stable U U U<br />

Endrin 12 - - Decrease (3) (3) (0.2)<br />

Heptachlor 105 48 10 Greatly decreased U U U -<br />

Lindane 24 58 1 Decrease (2) (2) 6 (3)<br />

Methoxychlor - 5 76 Increase U U U 3<br />

Toxaphene 53 111 40 Stable U U U -<br />

" - none reported U = unknown<br />

'/ Farmers Use of Pesticides, 1964, 1966, 1971 - Quantities, Economic Research Service, USDA, Agricultural<br />

Economic Reports Nos. 131, 179, 252.<br />

2/ Agricultural Pollution of the Great Lakes Basin, (1971). Environmental Protection Agency, Water Quality Office<br />

Publication 13020---07/71.<br />

Roller, Nick F. Survey of Pesticide Use in Ontario, 1973. Economics Branch, Ontario Ministry of Agriculture<br />

and Food Parliament Buildings, Toronto, Ontario. M7A 1B6, October 1975. Total amount applied determined by<br />

summing specific use categories in Appendix IV.<br />

Parenthetical statements are average annual quantities calculated from the total sale records over the following<br />

two year periods: 1968-1969, 1970-1971 and 1972-1973. Frank, R.; Smith, E. H.; Braun, H. E.; Holdrinet,<br />

M.; and Wade, J. W. (1975), Organochlorine Insecticides and Industrial Pollutants in the Milk Supply of the<br />

CA..+.L"" n- , ~ I 79<br />

C<br />

-<br />

15


use of carbamates has increased substantially whereas total organophosphate<br />

insecticide usage has remained essentially stable. However, the trends in<br />

these data must also be interpreted relative to regulatory actions which<br />

have severely prohibited the use of organochlorine pesticides (Table 2, in<br />

particular note chlordane and toxaphene). The present applications of<br />

such pesticides have either declined to near insignificance or are in<br />

imminent danger of being severely restricted for agricultural use. Thus,<br />

in the context of research leading to future remedial programs that are<br />

directed toward land use effects on pollution in the Great Lakes, research<br />

into the organochlorine insecticides should be severely downgraded if not<br />

dropped from consideration. The most recently available pesticide usage<br />

and use trends are summarized in Tables 3 and 4.<br />

For trend analysis, results of any survey need to be supplemented<br />

with a knowledge of imminent or recently instituted Provincial, State or<br />

Federal regulatory actions. This should include the projected effect of<br />

new pesticide introductions. In the context of applying remedial measures,<br />

it may take 5-10 or more years to develop a research idea to the level of<br />

an effective watershed-scale remedial program. Thus, if successful implementation<br />

of remedial measures depends on prior research, long-term pesticide<br />

use projections will have to become part of the research planning process.<br />

The pesticides listed on Tables 3 and 4 in addition to methoxychlor<br />

and toxaphene were used to construct Table 5. The fungicides were not<br />

included because they were applied in much smaller quantitites were than<br />

the insecticides and herbicides. Table 5 incorporates some basic pesticidal<br />

properties, determined under select conditions, which serve as the base<br />

information for the next step.<br />

Of these, which pesticides have the basic properties that or alone<br />

in combination create a potential environmental hazard under a reasonably<br />

selected standard set of environmental conditions? The three basic pesticidal<br />

properties considered here to be of primary importance in the Great Lakes<br />

are: persistence; toxicity; and the basic pesticide distribution between<br />

phases, e.g., water, sediment and vegetative phases. Considerable information<br />

exists and much of it is already available for guidance on making<br />

some of the most basic decisions regarding research emphasis.<br />

On the basis of trend data presented earlier, the shift in pesticide<br />

consumption has been from the persistent insecticides of relatively low<br />

mammalian toxicity to those of much less persistence but often greater<br />

toxicity.<br />

The persistence times of the most commonly used pesticides are<br />

presented in Table 5. The persistence categories of low (C6.0 months),<br />

intermediate (6-18 months) and high (218 months) were chosen according to<br />

time required to dissipate an accumulated 10 year residue once application<br />

had stopped according to a first order disappearance rate (Tables 6 7). and<br />

Unless the pesticide degrades to substantially longer-lived phytotoxic<br />

daughter-products, the impact of the short-lived pesticides ($6 months onehalf<br />

life) is expected to be upstream or on watersheds rather than in<br />

boundary waters. Thus, the impact of the short-lived compound is probabilistic,<br />

i.e., based on the probability of a selected rainfall event or<br />

series occurring within a certain period after application, which will<br />

cause the pesticide concentration in some phase downstream to exceed a<br />

203


Table 2. Major regulatory action limiting agricultural use of Organochlorine<br />

Insecticides in Ontario. Canada and the U. S.<br />

Aldrin<br />

BHC<br />

Chlordane<br />

Dieldrin<br />

DDD<br />

DDT<br />

Endrin<br />

Heptachlor<br />

Hept. Epox.<br />

Lindane<br />

Methoxychlor<br />

Mirex<br />

Toxaphene<br />

~~~ ~~<br />

Ontario, Canade<br />

11<br />

United States-<br />

21<br />

Action-<br />

31<br />

Date Act ion-<br />

31<br />

Date<br />

Restricted 1969<br />

Cancelled<br />

Never registered for<br />

agricultural use<br />

-<br />

To be reviewed<br />

Being reviewed at 1976<br />

Federal level<br />

Suspended<br />

Restricted 1969 Cancelled<br />

Restricted 1970 Cancelled<br />

Restricted 1970 Major restrictions<br />

Cancelled<br />

Restricted 1972 To be reviewed<br />

Restricted 1969<br />

Suspended<br />

Never registered -<br />

Suspended<br />

No restriction -<br />

To be reviewed<br />

No restriction -<br />

No restriction<br />

Never registered -<br />

Restricted to non<br />

food crops (intent<br />

to ban)<br />

Restricted at 1972 No restriction<br />

Federal level<br />

1972<br />

1976<br />

1975<br />

1972<br />

1971<br />

1969<br />

1972<br />

1976<br />

1975<br />

1975<br />

"Agricultural Pollution of the Great Lakes Basin, Combined Report of Canada and<br />

the United States, 1971. Environmental Protection Agency, Water Quality<br />

Office Publication 13020-"07171. Also private communication from Dr. R. Frank<br />

Ontario Ministry of Agriculture and Food, University of Guelph, Guelph, Ontario<br />

1976<br />

-<br />

?/The Pesticide Review by D. L. Fowler and J. N. Mahan. Agricultural Stabilization<br />

and Conservation Service. USDA, 1968 to 1975 (annual publication). Also<br />

private communication from J. Ellenberger, Regulatory Entomologist, EPA,<br />

Washington, D. C.<br />

"Statement may not be legally correct but essentially so based on impact on<br />

agricultural use.<br />

Cancel. = No application allowed.<br />

Suspension = No manufacture allowed.<br />

Review = Initiate process that can lead to suspension or cancellation.<br />

Restrict = Restricted to non agricultural uses.<br />

204<br />

1971<br />

-


Table 3. Top six ranking insecticides according to amount applied with use<br />

trends in parentheses.<br />

I<br />

Lakes States (1971) Ontario (1973)<br />

Carbaryl (stable)<br />

Bux (stable)<br />

Carbofuran (greatly increasing)<br />

Diazinon (stable)<br />

Phorate (greatly increasing)<br />

Azinphosmethyl (stable)<br />

Carbaryl<br />

(unknown)<br />

Chlordane (unknown)<br />

Dursban (unknown)<br />

Carbofuran (unknown)<br />

Phorate (unknown)<br />

Phosvel (unknown)<br />

Table 4. Top six ranking herbicides according to amount applied with use<br />

4,<br />

trends in parentheses.<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

Lakes States (1971)<br />

Atrazine (greatly increasing)<br />

Propachlor (greatly increasing)<br />

2,4-D (stable)<br />

EPTC-vernolate (greatly increasing)<br />

Amiben (greatly increasing)<br />

Alachlor (greatly increasing)<br />

Used mostly in combination with Atrazine.<br />

See Table 1 for references.<br />

205<br />

Ontario (1973)<br />

Atrazine (unknown)<br />

*<br />

Butylate (unknown)<br />

Alachlor (unknown)<br />

2.4-D (unknown)<br />

Amiben (unknown)<br />

*<br />

Cyanazine (unknown)


206


207


0<br />

N<br />

m<br />

li = llllknow~: L = Laboratory Study; F - Field Study; S - Sediment predominant node of transport; W - Water.<br />

*~’er~l~~cci~~ is the experimentally dvtermined ~ lme required for the original pesticide concentration in soil to he reduced to<br />

one-ll,?tf. is the concentretlcln lethal to <strong>50</strong>% of the population exposed for a given number of hours. Hours are in<br />

pazenLllrtlcr1 statement. Kd is ~lle equilibrium concentration adsorbed on the soil or organic carbon (OC) divided by that in<br />

<strong>50</strong>10210n.<br />

i/il.maher, .I. W. 1972. Decomposition: quantitative Aspects, Chapter 4 In Organic Chemicals in the Soil Environment: Vol. 1<br />

Harcal Lkkker. New Kork.<br />

?/Edwards, C. A. 1972. Insecticides. Chapter 8 Organic Chemicals in the Soil Environment: Vol. 1. Uarcel Dekker.<br />

E(eu Yurk.<br />

J’l~lmentcl, I). 1971. Ecological Effects of Pesticides on Non-Target Species. Executive Office of the President. Office of<br />

Srlcncc and Technnlogy. GPO Stock No. lalob-0029.<br />

d’Becaose no experimentally determined values available, approximate values based on relative rnohilities are provided (see<br />

C2irlr 8).<br />

~~ll.~m.aker, .I. W. and J. M. Tllompson. 1972. Adsorption, Chapter 2 Organic Chemicals in the Soil Environment: Vol. 1.<br />

H~r~el Dekker. New Yurk.<br />

fi’St


critical concentration established according to some criteria. Pesticides<br />

originally selected according to use and use trends that disappeared from<br />

soil at approximately first order rates with half-lives in excess 18 of<br />

months, were considered persistent and automatically worthy of further<br />

research consideration. The remaining pesticides or resulting phytotoxic<br />

daughter-products, with half-lives intermediate between the short-lived and<br />

persistent compounds, would require further examination; particularly for<br />

c.onditions in which the half-life may be extended under reasonably changed<br />

environmental conditions to more than an 18 month half-life. These were<br />

defined as following approximate first order kinetics with half-lives<br />

between 6 and 18 months under normal soil conditions.<br />

The second property, toxicity, should be operationally defined as<br />

a critical concentration exceeding some tolerance level for chosen indicator<br />

organisms. In this case (Table 5), the Rainbow Trout was used as the indicator<br />

organism to group pesticides into low, intermediate, and high acute toxicity<br />

levels because of the general availability of the data for the pesticides<br />

of interest. There is no intent on the author's part in suggesting Rainbow<br />

Trout should be the only test organism considered. Chronic toxicity levels,<br />

i.e., 96 or more hours exposure, which should be considered were not included<br />

for purposes of this discussion. Testing for increased toxicity due to<br />

possible synergistic effects among pesticides should be considered provided<br />

that the pesticides are applied both in quantity in and proximity to each<br />

other as determined from survey data.<br />

The third pesticidal property following persistence and toxicology<br />

is the adsorptivity. Numerous references are available on how adsorptivity<br />

will increase persistence and reduce bioactivity of the compound. Sometimes<br />

a portion of the pesticide is irreversibly sorbed and may be essentially<br />

removed from the system. Furthermore, adsorption may provide the mechanism<br />

for transport and accumulation in selected phases of the stream and lake<br />

environment. Determined under standard conditions, the K or distribution<br />

d<br />

coefficient of the pesticide between phases may be a useful indicator.<br />

These values are expressed on both the soil and organic matter basis (Table<br />

5). Because these are not available for many pesticides, a rough correlation<br />

was observed between Kd and the relative mobility of pesticides in soils<br />

(Table 8) which was used to approximate missing data in Table 5. This<br />

relationship was observed by Gerber and Guth (1973)'. Also, the phases may<br />

include vegetation and fish in addition to sediment and water. These biotic<br />

phases often concentrate pesticides by an order or several orders of magnitude<br />

above that found in sediments. The K is expected to be useful for: a)<br />

estimating zones of accumulation or pisticide distribution among phases; b)<br />

identifying primary transport mechanisms for modelling purposes; or c)<br />

indicating which pesticides are most susceptible to irreversible sorption<br />

or most likely to exhibit increased persistence and reduced toxicity upon<br />

adsorption.<br />

The K between water and sediment may be especially useful for<br />

d<br />

making some rough cut decisions regarding erosion and fluvial transport of<br />

selected pesticides (Figure 2). This figure shows how Kd influences the %<br />

total pesticide load carried by the sediment fraction relative to the suspended<br />

sediment concentration.<br />

' Short Theory, Techniques and Practical Importance of Leaching and Adsorption<br />

Studies, Proc. Eur. Weed Res. Coun. Symp., Herbicides-Soil, pp. 51-69, 1973.<br />

209


N<br />

0<br />

SEDIMENT DILUTION AND EFFECT ON THE X PESTICIDE LOAD TRANSPORTED IN THE SEDIMENT RUSE<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

DILUTION FACTOR<br />

loox lox 4x 2x 0<br />

SEDIMENT CONCENTRATION k /L)


Table 6. Accumulated pesticide residue (kg/ha) resulting from annual applica-<br />

tions of 2 kg/ha active ingredients (calculated according to C = Coe-kt).<br />

Years of Persistence in Half Lives<br />

Application 3 mo 6 mo 1 yr 2 yr 4 yr 8 yr 12 yr<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

.125 0.<strong>50</strong> 1.00<br />

.133 0.63 1.<strong>50</strong><br />

.134 0.66 1.75<br />

.134 0.67 1.88<br />

.134 0.67 1.94<br />

.134 0.67 1.97<br />

.134 0.67 1.99<br />

.134 0.67 2.00<br />

.134 0.67 2.01<br />

.134 0.67 2.01<br />

1.41 1.70<br />

2.41 3.13<br />

3.12 4.35<br />

3.62 5.38<br />

3.98 6.26<br />

4.23 7.00<br />

4.40 7.63<br />

4.49 8.17<br />

4.55 8.62<br />

4.60 9.00<br />

1.83<br />

3.51<br />

5.05<br />

6.46<br />

7.76<br />

8.95<br />

10.05<br />

11.05<br />

11.97<br />

12.80<br />

Table 7. Remaining pesticide residue (kg/ha) after application-free interim<br />

periods of 1-5, 10, 15 and 20 years following 10 years of sequential annual<br />

application of 2 kg/ha active ingredients (calculated according to<br />

-kt<br />

C=Ce ).<br />

1.89<br />

3.67<br />

5.35<br />

6.94<br />

8.44<br />

9.86<br />

11.19<br />

12.45<br />

13.64<br />

14.80<br />

Lapsed Time<br />

Following Final<br />

Persistence in Half Lives<br />

Application (yrs) 3 mo 6 mo 1 yr 2 yr 4 yr 8 yr 12 yr<br />

0<br />

1<br />

2<br />

3<br />

4<br />

5<br />

10<br />

15<br />

20<br />

0.134<br />

0.01<br />

9.0<br />

0.0<br />

0.0<br />

0.0<br />

0.0<br />

0.0<br />

0.0<br />

0.67<br />

0.17<br />

0.04<br />

0.0<br />

0.3<br />

0.0<br />

0.0<br />

0.0<br />

0.0<br />

211<br />

2.01 4.60 9.0 12.8 14.8<br />

1.00 3.25 7.6 11.7 14.0<br />

0.<strong>50</strong> 2.30 - - -<br />

0.25 1.63 - - -<br />

0.12 1.15 - - -<br />

0.06 0.81 3.8 8.3 11.0<br />

0.00 0.14 1.6 5.4 8.3<br />

0.00 0.03 0.67 3.5 6.2<br />

0.00 0.00 0.28 2.3 4.7


*<br />

Table 8. Relative mobility of pesticides in soils<br />

594<br />

TCA+<br />

Dalapon<br />

2,3,6-TBA<br />

Tricamba<br />

Dicamba (0.0)<br />

Chloramben (0.3)<br />

Picloram (0.45)<br />

Fenac<br />

Pyrichlor<br />

MCPA<br />

Amitrole<br />

2,4-D (1.6)<br />

Dinoseb<br />

Bromacil<br />

Propachlor<br />

Fenuron (1.0)<br />

Prometone (13)<br />

Naptalam<br />

2,4,5-T (1.0)<br />

Terbacil<br />

Propham<br />

F luome t uron<br />

Norea<br />

Diphenamid<br />

Thionazin<br />

**<br />

Mobility Class (decreasing mobility<br />

3<br />

Endothall<br />

Monuron (33)<br />

Atratone<br />

WL 19805<br />

Atrazine (25)<br />

Simazine (15)<br />

Ipazine<br />

Alachlor<br />

Ametryne<br />

Propazine (25)<br />

Trietazine<br />

2<br />

Siduron<br />

Bensulide<br />

Prometryne (55)<br />

Terbutryn<br />

Propanil<br />

Diuron (196)<br />

Linuron (147)<br />

Pyrazon<br />

Molinate<br />

EPTC<br />

Chlorthiamid<br />

Dichlobenil<br />

Vernolate<br />

Pebulate<br />

Chlorprouham<br />

Azinphosmethyl<br />

Diazinon<br />

1<br />

Neburon<br />

Cloroxuron<br />

DCPA<br />

Lindane (321)<br />

Phorate<br />

Parathion<br />

Disulfoton<br />

Diquat<br />

Chlorphenamidine<br />

Dichlormate<br />

Ethion<br />

Zineb<br />

Nitralin<br />

C-6989<br />

ACNQ<br />

Morestan<br />

Isodrin<br />

Benomyl<br />

Dieldrin<br />

Chloroneb<br />

Paraquat<br />

Trifluralin<br />

Benef in<br />

Heptachlor<br />

Endrin<br />

Aldrin<br />

Chlordane<br />

Toxaphene<br />

DDT (10,000)<br />

Helling, C. S., Kearney, P. C., and Alexander, M., 1971. Belwviour of Pesticides in Soils. Adv. Agron.<br />

- 23,147-240.<br />

**<br />

Class 5 compounds (very mobile) to Class 1 compounds (immobile); in each class pesticides are ranked in<br />

estimated decreasing order of mobility. Underlines designate the most commonly used pesticides by survey.<br />

Parentheses enclose average Kd's from Hamaker, J. W. and J. M. Thompson, (1972),Adsorption. Chapter 2 &<br />

Organic Chemicals in the Environment, Vol. I. Marcel Dekker, N. Y., 440 pp.


Washoff losses of pesticides are likely to be predominantly<br />

associated with the eroded rather than the aqueous phase at or above relatively<br />

low Kds, e.g., 100. However, once eroded, the initial transport<br />

will be heavily weighted toward the aqueous phase unless the 1000 Kd or is<br />

more with reasonably high sediment concentration, i.e., <strong>50</strong>0 over mg/l for<br />

the larger Great Lakes tributaries. Further transport downstream increases<br />

the likelihood of dilution by other water exhibiting lower sediment concentration.<br />

From Figure 2, hydrologic dilution of the pesticide by 10 times<br />

substantially shifts the pesticide load to the aqueous phase unless the Kd<br />

equals or exceeds 10,000. The dilution factor has to be very large, e.g.,<br />

100 times or greater to significantly shift the load from the adsorbed to<br />

aqueous phase if the Kd is this high. Furthermore, if a dynamic equil-<br />

ibrium exists between fluvial sediment and the aqueous phase, and the Kd<br />

is large, substantial and perhaps rapid pesticide losses may occur because<br />

of pesticide adsorption on exposed stream banks and bottoms and associated<br />

vegetation within relatively short travel distances. Usually the Kd for<br />

most pesticides used today is 1000 or less, thus weighting the load transported<br />

to the aqueous rather than adsorbed phase (Figure 2). However,<br />

adsorptivity or oganic matter may be 10 to 1000 times greater than that for<br />

soil (Table 5). Thus, in situations where organic soils, organic sediments<br />

or transported organic materials predominate, transport may be heavily<br />

weighted toward a sediment fraction of low density. Such highly adsorptive<br />

systems are usually primary candidates for investigation related to irreversible<br />

adsorption, increased persistence and decreased bioactivity due to<br />

adsorption. The same consideration would apply to highly polluted stream<br />

sediment to which the pesticide distribution could be greatly altered.<br />

Table 9 summarizes these three properties for the pesticides originally<br />

chosen according to the survey.<br />

From this table, both chlordane and toxaphene potentially provide<br />

both upstream impact (toxicity) and downstream impact (persistence), being<br />

primarily lost by erosion and transported in both the aqueous and sediment<br />

phase. Azinphosmethyl, phorate and diazinon potentially provide upstream<br />

impact only, because although they are toxic they lack persistence. They<br />

are lost primarily by erosion but transported primarily in the aqueous<br />

phase. Thus, hydrologic dilution likely dominates the concentration of<br />

this material downstream and this concentration dissipates rapidly. Dursban<br />

does potentially provide upstream impact and is transported primarily in<br />

the aqueous phase. The persistence was not known. The impact of phosvel<br />

and carbofuran is limited to upstream areas because of low persistence.<br />

The persistence for bux is unknown. The remaining compounds are not likely<br />

to be of concern.<br />

Thus, this whole approach provides some guidelines for research:<br />

Firstly, these compounds which are important on the basis of use; secondly,<br />

the identification of the important pesticidal properties and how they might<br />

indicate particular research needs and provide research emphasis assuming<br />

normal environmental conditions. This kind of approach not only attempts<br />

to direct attention to the most environmentally hazardous properties of<br />

a compound but also points out weak or missing data needed to make of some<br />

these basic assessments and perhaps provide some insight. However, this<br />

213


Table 9. Selected pesticides grouped according to combinations of properties.<br />

Pesticide<br />

Chlordane<br />

Toxaphene<br />

Azinphosmethyl<br />

Phorate<br />

Phosvel<br />

Dursban<br />

Methoxychlor<br />

Diazinon<br />

Bux<br />

Carbofuran<br />

Atrazine<br />

Cyanazine<br />

EPTC<br />

Vernolate<br />

Carbaryl<br />

Butylate<br />

Amiben<br />

2,4-D<br />

Alachlor<br />

Propachlor<br />

Group Ranking for each Property<br />

Toxicity Persistence Adsorptivity<br />

I I I<br />

I I I<br />

I I11 I1<br />

I I11 I1<br />

I 111 U<br />

I U I11<br />

I U U<br />

I, I1 I11 I1<br />

I1 U U<br />

I1 I11 U<br />

I11 I1 I11<br />

I11 I1 I11<br />

I11 I11 I1<br />

I11 I11 I1<br />

I11 I11 I11<br />

I11 I11 U<br />

I11 I11 I11<br />

I11 111 I11<br />

I11 I11 I11<br />

I11 I11 111<br />

I = Toxicity (0.003 - .05 mg/l, LC<strong>50</strong> over 24 48 to hour for Rainbow Trout),<br />

OK persistence 5 18 months (observed time for one-half the original<br />

concentration to disappear from soil) OK adsorptivity 2 1000 Kd (Kd =<br />

concentration on sediment (x/m) versus that in solution (C at equilibrium<br />

from Freundlich relationship n=l). at<br />

ed<br />

I1 = Toxicity (0.052 - 0.3 mg/l ditto) or 6 months < persistence < 18 months<br />

OK 100 5 Kd < 1000.<br />

I11 = Toxicity (1.0 - 20, mg/l ditto) or persistence 5 6 months or Kd < 100.<br />

U = Unknown.<br />

214


has as yet only treated properties under standard or a selected set of<br />

environmental conditions. This is often not the case.<br />

What known or expected environmental changes in subunits of the<br />

watershed could substantially alter the potential environmental hazard of<br />

those pesticides earlier identified by answering the previous two questions?<br />

Answering this third question assumes that the dominant local stream and<br />

lake environments on a seasonal or annual basis are known. Then those<br />

dominant, yet nonstandard environmental conditions which substantially<br />

extend pesticidal persistence beyond the middle-range persistence OK bias<br />

the distribution of pesticide among phases causing a potentially hazardous<br />

environmental level, can be identified and their impact researched. This<br />

investigation would apply to those pesticides of intermediate persistence<br />

or toxicity as determined from answering questions 1 and 2. These could<br />

include the effect of: pH changes from field to stream to lake (persistence<br />

and redistribution between phases of pH-dependent charged pesticides);<br />

chemical reducing conditions on persistence; temperature on persistence;<br />

exposure to sediment associated with industrial type pollutants, e.g.,<br />

petroleum products mixed with sediment, on persistence and selective distribution<br />

of pesticides in this phase; exposure to organic soils and<br />

sediments on toxicity, persistence and adsorptivity, etc. Obviously, the<br />

criterion of reasonability should be followed regarding the likelihood of<br />

these conditions existing and their severity. The test conditions chosen<br />

should not be extreme or unreasonable relative to the expected in range<br />

pertinent environmental conditions.<br />

CONCLUSION<br />

In summary, if a pesticide is used extensively or in increasingly<br />

larger amounts, is known to be toxic to selected aquatic organisms, and is<br />

either persistent or has an intermediate half-life that may be extended by<br />

adsorption and/or abnormal environmental conditions that are known to occur<br />

within the area, then these should be the primary subject of research<br />

emphasis.<br />

RECOWMIATIONS<br />

1.<br />

2.<br />

' 3.<br />

Better surveys of individual pesticide usage on an annual basis are<br />

needed in order to establish present usage and trends in usage. This<br />

should be assembled by the IJC according to subwatershed divisions<br />

within the Great Lakes Basin.<br />

The organochlorine insecticides should not be the subject of new<br />

research unless justified on the basis of present and projected<br />

use in the Great Lakes Basin.<br />

The pesticides selected on a usage or use trend basis should be<br />

further evaluated according to persistence, toxicity, and adsorptivity<br />

under some set of standard conditions. Synergistic effects on selected<br />

key aquatic organisms should be evaluated where justified on pesticide<br />

use basis. Then the "nonstandard" but reasonably expected local<br />

environmental conditions that substantially alter persistence and<br />

toxicity occurring downstream from application areas should be<br />

identified and researched. An exhaustive literature review could<br />

supply much of this information.<br />

215


This overall approach provides a means of selecting those pesticides<br />

that should be the primary candidates for subsequent laboratory and field<br />

research and monitoring programs. Furthermore, this approach should<br />

specifically delineate or further identify needed research.<br />

4. We need standardization OK development of methodology to experimentally<br />

and routinely determine: a) standard persistence, toxicology and<br />

adsorptivity; b) the altered toxicity upon adsorption or in<br />

association with other pesticides (synergistic effects); and c)<br />

the altered persistence upon adsorption, changed 02 pH, status,<br />

temperature, etc. Perhaps the study of the selected pesticides<br />

in multiphase microcosms may be useful for isolating potential<br />

problems. Obviously, the pesticides studied should not be chosen<br />

at random, but should be of at least intermediate persistence, toxicity<br />

and used in considerable amount according to survey.<br />

5. Certain environmental exceptions exist that should be researched even<br />

if not defensible by pesticide use. These include: a) dredge spoil<br />

as a renewed source of adsorbed pesticides, particulary the organochlorine<br />

insecticides; and b) altered K and persistence of selected<br />

pesticides partitioned into or exposed t,d highly polluted sediments<br />

(lipophilic wastes, industrial wastes, municipal sewerage, etc.).<br />

216


DISCUSSION<br />

/A,. L. HetZing: The way you are going at the pesticide issue is usage. Is<br />

it possible or thinkable to go at it the other way? We are interested in<br />

those pesticides or those types that are bio-accumulating in the environment.<br />

Could one go and take certain test organisms or test fish or something else<br />

at a lake and measure them for the range of these things, and if they are<br />

not accumulating, not worry about them?<br />

Dr. H. Pionkc: I wasn't really suggesting that we start on a full-blown<br />

programme, collecting all these numbers. I am saying that in certain cases<br />

there are probably missing data that could be supplied. I think that some of<br />

the EPA people would like to speak to this, but I think there is already a<br />

movement afoot to try and get some of this basic information. As I mentioned<br />

earlier, this is in the context again of the IJC. We are talking about the<br />

Great Lakes watershed. There are many compounds in use across the country.<br />

They are not used in any amount on the Great Lakes watershed. I think if<br />

you turn it around and get the cart before the horse and start talking about<br />

what compounds could create a potential problem without asking whether or not<br />

they are being applied, is the wrong way to go.<br />

217


Forms and Sediment Associations of Nutrients (C.N. 6 P.)<br />

Pesticides and Metals<br />

Trace Metals<br />

Ulrich F6rstner<br />

The availability of trace metals for metabolic processes is<br />

closely related to their chemical species both in solution and in particulate<br />

matter. For this reason a thorough investigation into the<br />

behaviour of trace metals in the dissolved state was undertaken. In comparison,<br />

very little is known about the chemical association of metals in<br />

suspended materials and sediments, although the knowledge of characteristic<br />

bonding types may be the key to the detection of specific pollution sources<br />

in the aquatic environment.<br />

TRANSPORT OF TRACE MALS IN RIVERS<br />

The source of trace metals in rivers significantly determines<br />

their distribution ratio between the aqueous and solid phases. For example,<br />

the bulk of the detrital trace element particulates never leaves the<br />

solid phase from initial weathering to ultimate deposition. Similarly,<br />

metal dust particles (e.g. from smelters) and effluents containing heavy<br />

metals associated with inorganic and organic matter, undergo little or no<br />

change after being discharged into a river. This is attributable to the<br />

average residence times (of the order of days or weeks), too short €or the<br />

establishment of stable, dynamic equilibria between water and suspended<br />

material. '<br />

There are characteristic differences in the metal distribution<br />

between the aqueous and solid phases. Examples are given in Table 1,<br />

indicating the fractions of metals in particulate form as percentages of the<br />

total metal discharges from U.S. rivers', rivers in West Germany3 and from<br />

the Rhine River in the Netherlands' respectively.<br />

The order of sequence of the mobility for a few selected metals<br />

is as follows. Alkali and alkali-earth metals are predominantly present in<br />

a dissolved form; for trace metals like boron, zinc and cadmium, the ratio<br />

of dissolved species to particulate species is between 2:l and 1:l; copper,<br />

mercury, chromium and lead exhibit ratios of the solid phases to the aqueous<br />

phases of between 2:l and 4:l; whereas iron, aluminum (and manganese under<br />

normal Eh conditions) are almost totally transported as solid particles.<br />

The preferential bonding of heavy metals in effluents to the solid phase is<br />

of particular significance for tracing sources of pollution. During<br />

reduced rates of river flow, suspended material settles to the river bed,<br />

becoming partially incorporated into the bottom sediment. By virtue of their<br />

composition, sediments conserve heavy metal contamination and "express the<br />

state of a water body"'. Vertical sediment profiles (cores) often uniquely<br />

preserve the historical sequence of pollution intensities6; lateral distributions<br />

(quality profiles) serve to determine and evaluate local sources<br />

of pollution .<br />

219


Metal<br />

(example)<br />

Sodium<br />

Calcium<br />

Strontium<br />

Boron<br />

Cadmium<br />

Zinc<br />

Copper<br />

Mercury<br />

Chromium<br />

Lead<br />

Aluminum<br />

Iron<br />

*Federal Republic of Germany<br />

TABLE 1<br />

Percentage particulate-associated metals<br />

of total metal discharge (solid + aqueous)<br />

U.S. Rivers' F.R.G.* Rivers3 Rhine (Neth.)'<br />

-<br />

0.5<br />

2.5<br />

21 %<br />

30 %<br />

-<br />

-<br />

30<br />

40 % 45<br />

63 % 55<br />

-<br />

59<br />

76 % 72<br />

84 % 79<br />

98 % 98<br />

98 % 98<br />

220<br />

%<br />

%<br />

-<br />

-<br />

% 45 %<br />

% 37 %<br />

% 64 %<br />

% 56 %<br />

% 70 %<br />

% 73 %<br />

% -<br />

% -


Two effects, however, must be considered when sediment analyses<br />

are used for the identification of sources of pollution. Firstly, under<br />

conditions of high water discharge, erosion of the river bed takes place,<br />

and generally leads to a lower degree of local contamination. LSzl6’, for<br />

example, obtained data from the Sajo River, Hungary, which indicated that<br />

three months after a flood, the mercury concentration in bottom sediments<br />

had been reduced to approximately one-quarter of the values found immediately<br />

before the flood. Secondly, it is often overlooked that it is imperative<br />

to do base metal analyses from river sediments on a standardized procedure<br />

with regard to particle size’, since there is a marked decrease in the<br />

content of metals as sediment particle size increases. An example is given<br />

in Figure 1, indicating the concentrations of cadmium in different grain size<br />

fractions of sediments from the highly polluted Rhine and Main Rivers in<br />

the Federal Republic of Germany”. Maximum concentrations of Cd occur in<br />

the fractions of 0.2 pm - 0.6 pm; from there the metal contents decrease<br />

both toward finer and coarser grain diameters (relatively high levels of Cd<br />

in the sand fractions are probably due to the input of coarse waste particles).<br />

Several methods have been introduced in order to include most of<br />

the substances active in metal enrichment, i.e., hydrated oxides, sulphides,<br />

amorphous and organic materials, but to exclude coarser-grained sediment<br />

fractions which are largely chemically inert: (i) reduction of grain size<br />

effects, e.g. the pelitic fraction of < 2 pm diameter”, by extrapolation<br />

from the grain size distribution” or by correction for the specific surface<br />

area”; (ii) selective chemical treatment for the extraction of acidsoluble<br />

fractions by including 0.1 M hydrochloric acid’l*, 0.1 M nitric<br />

acid15 and aqua regia/ignition lossIb procedures; (iii) using mineral<br />

separation techniques as exemplified by the quartz correction method”;<br />

(iv) taking conservative elements, e.g. aluminum, silicon, potassium, and<br />

sodium as a reference base for cultural metal inputs’’”’. The question as<br />

to which trace metals are characteristic of nonpoint or diffuse sources,<br />

which is of particular interest to the present Workshop, cannot be answered<br />

to any degree of satisfaction. In areas of heavy environmental pollution<br />

such as highly industrialized areas, one generally finds high levels of<br />

lead, zinc, mercury and cadmium in the river deposits whereas at the same<br />

time other metals such as iron, manganese, nickel, and cobalt have only<br />

increased insignificantly in comparison. High levels of chromium, cadmium<br />

and copper can usually be attributed to industrial waste”, particularly<br />

from the tanning and electroplating industries; enrichment of lead and zinc<br />

can usually be connected with diffuse sources such as atmospheric emissions<br />

in the case of lead, and urban sewage effluents for zinc”. Apart from<br />

this, the temporally changing influence in the various catchment areas as<br />

well as seasonal effects must be taken into consideration as was done by<br />

Schleichert” in his study on the metal transport of suspended matter in<br />

the Rhine.<br />

CHEMICAL FORMS OF TRACE BTALS IN FLWIATILE SEI)IE:MS<br />

The ratio of heavy metal distribution between the aqueous and solid<br />

phases is subject to change due to a general shift of equilibria toward<br />

the solid phase. Thus, the total amount of heavy metals in solution generally<br />

diminishes along the course of a river during normal flow conditions.<br />

This is of importance for the elimination of dissolved wastes, e.g. from<br />

metal processing (electroplating, galvanizing), the removal of trace metals<br />

from the aqueous phase being effected by mechanisms as such sorption,<br />

precipitation, co-precipitation and complexing.<br />

221


In spite of their different origins, environmentally related<br />

types of metal bonding are comparable to the natural forms. The most<br />

common associations of heavy metals in particulate substances are compiled<br />

in Table 2:<br />

(1) Heavy metals are transported and deposited as major, minor<br />

OK trace constituents in the natural rock detritus, mostly<br />

in inert positions.<br />

(2) Slight alkalinity prevailing in normal surface waters results<br />

in the formation and precipitation of hydroxides, carbonates,<br />

sulphides and phosphates of heavy metals.<br />

(3) Sorption and cation exchange particularly takes place on<br />

fine-grained substances with large surface areas. A generalized<br />

sequence of the capacity of the solids to sorb heavy was metals<br />

established by Guy 6 ChakrabartiZ4 in the order<br />

MnOz > humic acid > hydrous iron oxides > clay.<br />

Experiments with different sorbents and seawater indicated an<br />

extensive extraction of zinc, copper and lead by hydrous iron-and manganeseoxides,<br />

clay minerals and peat substances; nickel, cobalt and chromium are<br />

closely associated with Mn-oxidesZ5. In experiments on competing exchange<br />

of metal cations performed with equal concentrations of humic substancesz6,<br />

copper was preferentially sorbed (53%). followed by zinc (21%), nickel<br />

(14%). cobalt (8%) and manganese (4%).<br />

(4) Dissolved organic polymer is increasingly being regarded as a<br />

carrier material in the transfer of metals from the mineral<br />

phase into the organic material. The younger, less condensed<br />

humic acids (fulvic acids) play an especially important role<br />

in the bonding of heavy metals in aquatic systems because of<br />

their large number of functional groups”. In a summary of<br />

organic matter-metal interactions in recent sediments, Nissen -<br />

baum L Swaine” mention concentrations of up to 0.4% copper and<br />

0.45% zinc in humic substances from marine reducing environment^^^.<br />

A high degree of positive correlation between the content of<br />

organic substances, and metal concentrations may, however, not<br />

always be interpreted as being the result of direct bonding of<br />

heavy metals to organic substances. In highly polluted areas,<br />

for instance, contamination by characteristic heavy metals simply<br />

coincides with the accumulation of organic substances, both derived<br />

from urban, industrial or agricultural sewage effluents.<br />

Extraction of metals from fulvic and humic acids in sediments<br />

from Lake Malawi indicated that only zinc, copper and vanadium<br />

were accumulated in organic material, whereas iron, manganese,<br />

chromium, cobalt and nickel are more or less diluted by the organic<br />

acids”.<br />

(5) Co-precipitation of heavy metals with hydroxides and carbonates<br />

appears to be an important mechanism controlling the metal<br />

concentrations in the aquatic environment”’ 32. Experiments on<br />

calcium carbonate precipitation in the presence of heavy metal<br />

ions33 indicated that heavy metal carbonates having a low solubility<br />

(e.g. cadmium and lead) will be completely eliminated<br />

222


TABLE 2<br />

CARRIER SUBSTANCES AND MECHANISMS OF HEAVY METAL BONDING<br />

Minerals of natural rock debris<br />

(e. g. heavy minerals)<br />

Heavy metal<br />

- hydroxides<br />

- carbonates<br />

- sulphides<br />

Clay minerals<br />

(Sorption)<br />

PH<br />

~ Bitumen, Lipids PH<br />

Humic substances<br />

, Residual organics<br />

Hydroxides and oxides<br />

of Fe/Mn<br />

Calcium carbonate<br />

PH<br />

PH<br />

223<br />

metal bonding predominently<br />

in inert positions<br />

Precipitation as a result of<br />

exceeding the solubility product<br />

in the area of the water course<br />

Physico-sorption<br />

(electrostatic attraction)<br />

Chemical sorption<br />

(exchange of H+ in SiOH, AlOH and<br />

A1 (0H)z)<br />

Physico-sorption<br />

Chemical sorption<br />

(exchange of H+ in COOH-, OH-groups)<br />

complexes<br />

Physico-sorption<br />

Chemical sorption<br />

(exchange of H+ in fixed positions)<br />

Co-precipitation as a result of<br />

exceeding the solubility product<br />

Physico-sorption<br />

Pseudomorphosis<br />

(dependent on supply and time)<br />

Co-precipltation<br />

(Incorporation by exceeding the<br />

solubility product)


from the solution as a result of co-precipitation with calcium<br />

carbonate (Table 3). Examples from the hcavily polluted Elsenz<br />

River (a tributary to the Neckar River) and the Elbe River in<br />

West Germany have demonstrated the actual importance of coprecipitation<br />

phenomena with hydroxides of iron and calcium carbonate<br />

in the natural environment 34 ' . The presence of large amounts<br />

of iron hydroxide in the Elsenz River was caused by the mixing<br />

of normal Elsenz water with alkaline waste water from a local<br />

galvanizing industry. The measured concentration of heavy<br />

metals found in iron hydroxide concretions are far higher than<br />

the concentrations found in the clay-sized fraction of the<br />

surrounding Elsenz sediments. Compared to this surrounding<br />

clay-sized sediment fraction, heavy metal enrichment by factors<br />

of up to 30 times for Cd, 17 for Zn and 1.4 for Cu were measured<br />

in the iron hydroxide concretions". Groth's3' investigations<br />

on the co-precipitation of trace metals with hydrous Fe/Mn<br />

oxides (also taking the competition of organic complexing agents<br />

into account), indicated an almost complete co-precipitation of<br />

copper occurring under all conditions, whereas zinc and cobalt<br />

are precipitated to a much lesser extent in the presence of strong<br />

EDTA complexing agents than of natural organic chelating substances<br />

(Table 4 ).<br />

In contrast to iron hydroxide, calcium carbonate was found to have<br />

concentrated heavy metals far less than those found in the<br />

surrounding clay size ELbe sediment fraction". Calcium carbonate<br />

coatings had been formed locally in the Elbe River as the result<br />

of mixing effects upon the contact of normal Elbe River water<br />

with alkaline waste waters from a local Dow Chemicals Plant.<br />

Compared to the geochemical background values of heavy metals<br />

in carbonate rocks37, enrichment factors of approximately 10<br />

times for Cd, 6 for Cu, 4.5 for Zn and 4 for Co were measured<br />

in calcium carbonate coatings.<br />

SELECTIVE EXTRACTION PROCEDURES<br />

Many attempts have been undertaken for a selective extraction of<br />

the different forms of metal association in both natural and polluted<br />

sediments: Hirst & Nicholls3* differentiated the metal contents in the<br />

detrital and non-detrital fractions of carbonate rocks by acid treatment.<br />

Goldberg & Arrhenid6 used EDTA to establish the partition of elements<br />

between detrital igneous minerals and authigenic phases in pelagic sediments.<br />

Arrhenius & Korkish4' tried to separate the iron fraction of the<br />

ferro-manganese nodules with 1 M hydrochloric and dilute acetic acid.<br />

Chester & Hughes" distinguished the lithogenous and non-lithogenous components<br />

in recent aquatic sediment by acid-reducing 1 M hydroxylamine<br />

hydrochloride + 25% acetic acid; this method reached particularly wide<br />

application in marine ge~chemistry~'-~'. A combination of different<br />

extraction procedures was first used Ni~senbaum~~<br />

by<br />

for sediments from the<br />

Okhotsk Sea (Table 5a), then by G i b b ~ for ~ ~ analyses of trace metals<br />

associated with different carrier substances in suspended materials of the<br />

Amazon and Yukon Rivers (Table 5b). Engler and co-workers4' developed a<br />

separation technique, particularly for dredged materials, precluding<br />

atmospheric oxidation at sensitive steps (Table 5c); sediments from Mobile<br />

224


TABLE 3<br />

CO-PRECIPITATION OF TRACE METALS WITH CALCIUM CARBONATE<br />

-LOG L = NEGATIVE EXPONENTS OF THE SOLUBILITY PRODUCTS OF METAL CARBONATES<br />

Original Metal contents in the precipitate<br />

concentration in % of the original concentration<br />

(Pdl) Cd Pb Co Zn Cu Ni<br />

25 100 100 100 100 96 96<br />

2<strong>50</strong> 100 100 100 100 - 43<br />

2000 100 100 96 96 75 -<br />

-log L 13.2 12.8 12.0 10.2 9.85 6.85<br />

TABLE 4<br />

CO-PRECIPITATION OF TRACE METALS WITH Fe/Mn-HYDROXIDES<br />

Solution Percent of metal additive in the precipitate<br />

Fe cu Zn Mn co<br />

distilled water 98% 95% 14% 47% 80%<br />

lake water<br />

no admixture (a) 99% 98% 86% 67% 25%<br />

EDTA (b) 99% 88% 18X 25% 25%<br />

Peat extract (c) 99% 97% 88% 75% 25%<br />

225


TABLE 5<br />

SELECTIVE EXTRACTION PROCEDURES FOR METAL ASSOCIATIONS IN SEDIMENTS<br />

(PRE- AND INTER-TREATMENT STEPS - WASHING, CENTRIFUGATION, FILTRATION<br />

ETC. - ARE NOT INCLUDED IN THE TABLE; - DEFINITATION A<br />

OF THE CHEMICAL<br />

PHASE ACCORDING TO THE AUTHORS)<br />

- a. NISSENBAIIM, 1972<br />

Treatment of sediment Ref. Chemical phasea<br />

1) 30% Hz02<br />

2) 2 N acetic acid (pH - 3)<br />

3) 6 N HC1<br />

4) Fuse with Na~C03<br />

- b. GIBBS. 1973<br />

Perox. fraction<br />

Acetic ac.-fraction<br />

HC1-fraction<br />

Residue fraction<br />

Treatment of sediment Ref. Chemical phasea -<br />

1) 1 N MgClz-solution. pH=7 Cation exchange + adsorption<br />

2) Reduction with sodium dithionite/<br />

complexing with sodium citrate<br />

Metallic coatings<br />

3) Sodium hypochlorite, pH=8,5; see (2) Solid organic material<br />

4) lithium metaborate lOOO"C, HN03 Detrital crystalline material<br />

- c. ENGLER, BRANNON, ROSE & BRIGHAM, 1974 (modified by GUPTA & CHEN, 1975)<br />

Treatment of sediment Ref. Chemical phasea -<br />

1) 1N ammonium acetate, sediment-pH<br />

2) 1M acetic acid (G & CH)<br />

3) 0.1M hydroxylamine hydrochloride<br />

solution in 0.01M nitric acid<br />

4) 30% hydrogen peroxide at 95OC,<br />

extract with 1N NHbOAc, pH=2,5 or<br />

extract with 0.01M HN03 (G 6 CH)<br />

5) Sodium dithionite/citrate or<br />

0.04M NH20H.HC1 in 25% acetic<br />

acid at 100°C for 3 hrs (G 6 CH)<br />

6) Digestion with HN03, HF, HClOs<br />

- d. PATCHINEEJAM, 1975<br />

Exchangeable ions<br />

Carbonate, some Fe/Mn-oxides<br />

Easily reducible phase<br />

(manganese oxide + amorphous<br />

iron oxide)<br />

Organic phase<br />

(organics + sulphide)<br />

Moderately reducible phase<br />

(iron oxide)<br />

Lithogenous fraction<br />

Treatment of sediment Ref. Chemical piesea<br />

1) 0.2 N BaClz-tri.ethanolamine Adsorption + cation exchange<br />

2) 0.1 N NaOH Humates + Fulvates<br />

3) COZ-treatment Carbonate co-precipitates<br />

4) 1 M NHzOH.HC1/25% acetic acid Hydrous Fe/Mn-oxides co-prec.<br />

5) Digestion with HF/HClO,, HN03 Detrital silicates<br />

226


Bay (Alabama), Ashtabula, Ohio (Lake Erie) and Bridgeport, Connecticut (Long<br />

Island Sound) were investigated4'. Further modification of the Engler scheme<br />

was performed by Gupta & C~~II'~ and applied on sediments from Los Angeles<br />

Harbor. Patchineelam differentiated the metal contents associated with cation<br />

exchan e positions, humic acids, carbonate minerals and hydrous Fe/Mn<br />

oxides". The first three examples' 5' ' compiled in Figure 2, represent<br />

relatively unpolluted systems (Dead Sea: 14 ppm Cu, 13 ppm Pb, 36 ppm Zn),<br />

while both the latter area^'^'^^ are strongly contaminanted by heavy metals<br />

(Los Angeles Harbor: 568 ppm Cu, 342 ppm Pb, 632 ppm Zn). In the example<br />

of the Lower Rhine sediment3', two groups of metals can be distinguished<br />

from a comparison of metal data of recent Rhine deposits with analyses of<br />

ancient Rhine sediments obtained from drilling cores in the Cologne area".<br />

High percentages of detrital fractions are found for those elements which<br />

are less affected by man's activities, e.g. iron (3.0% in fossil Rhine<br />

deposits - 3.4% in recent pelitic sediments of the Rhine), nickel (85 ppm -<br />

165 ppm), and cobalt (14 ppm -35 pprn); on the other hand, lattice-held<br />

fractions are very low for metals such as (30 lead ppm - 333 pprn), zinc<br />

(115 ppm - 1558 ppm) and cadmium (0.3 ppm - 28.4 ppm). In the Rhine sediments,<br />

lead, copper and chromium are particularly associated with the<br />

hydroxide phases. These findings can be explained by the specific sorption<br />

of lead to iron-hydroxide5', by the effective co-precipitation of copper<br />

together with hydrous Fe/Mn oxides36, and by the absence of carbonate<br />

phases of chromium in natural aquatic systems. The preferential carbonate<br />

bonding of zinc and cadmium, on the other hand, be attributed can to the<br />

relatively high stability of zinc-carbonate and cadmium-carbonate under the<br />

pH-Eh conditions of common island as well as to the characteristic<br />

co-precipitation of these components with calcium-carbonate. Copper and<br />

cadmium contents are found to be closely associated to organic substances.<br />

The metal fractions in cation exchange positions represent less ten than<br />

percent of the total metal content associated to sediment. Similar results<br />

were obtained by Gupta & Chen" particularly with respect to the low metal<br />

concentrations in exchangeable form and to the sequence of metals associated<br />

with detrital (silicate) minerals. The only exception is copper (98% in<br />

detrital phase) of which 0nJ.S; 10 to 14% is bonded to silicates in Nissenbaum's<br />

study on the Sea of Okhotsk .<br />

THE RLEASE OF TRACE F~ALS FROM RIVER SEDIMENTS<br />

Heavy metals which are "immobili~ed"~~ in the bottom sediments of<br />

rivers and dams constitute a potential hazard to water quality since they<br />

may be released as a result of chemical changes in the aquatic milieu:<br />

(1) Increased salinity of the water body leads to competition<br />

between dissolved cations and adsorbed heavy metal ions and<br />

results in partial replacement of the latter. Such effects<br />

should particularly be expected in the estuarine environment.<br />

Apart from the highly complicated situation there5', however,<br />

it was demonstrated, that the decrease in heavy metal concentrations<br />

at the river/sea interface is caused by mixing processes<br />

of polluted river particulates with relatively "clean" marine<br />

sediments5' rather than by solubilization and/or desorption.<br />

(2) A lowering of pH leads to the dissolution of carbonate and<br />

hydroxide minerals and also - as a result of hydrogen ion<br />

competition - to an increased desorption of metal cations.<br />

227


N<br />

N<br />

m<br />

FIGURE 1: Cadmium concentrations in different grain size fractions of<br />

sediments from the rivers Maine (*) and Rhine".


SEA OF OKHOTSK<br />

(NISSENBAlJM.1972)<br />

"Pwox ~ Froctlon"<br />

"Acotlc acid "<br />

YUKON RIVER<br />

( OIBES, 1973 1<br />

Mn<br />

Fe Ni Co Cr Cu Pb Zn Cd<br />

FIGURE 2:<br />

Extraction of different forms of metal associations in sediments<br />

(examples).<br />

229


Long-term changes of the pH-conditions have been observed from<br />

highly industrialized areas by atmospheric SO2 emissions 59 ' 6o mainly in waters poor in bicarbonate ions. Acid mine drainage<br />

effects a 1,000 - 10,000- fold increase of iron, manganese,<br />

nickel, cobalt, copper and zinc61'62.<br />

A change in the redox conditions is usually caused by the increased<br />

input of nutrients. Oxygen deficiency in the sediments leads to<br />

an initial dissolution of hydrated manganese oxide, followed<br />

by that of the analogous iron compound63. Since these metals<br />

are readily soluble in their divalent states, any co-precipitates<br />

with metallic coatings become partially remobilized. There are<br />

indications, that, for example, copper, zinc and cadmium are<br />

released from anoxic sediments into surface water64. These<br />

processes, however, seem to be controlled rather more by bacterial<br />

activity and subsequent complex formation than by ion migration65;<br />

since the calculated stability for the sulphide compounds is<br />

strongly exceeded by the concentrations of Cu, Cd, Zn, Pb and<br />

other metals in the pore<br />

The growing use of synthetic complexing agents (e.g. nitrilotriacetic<br />

acid) in detergents to replace polyphosphates6' increases<br />

the solubilization of heavy metals from aquatic sediment69'70.<br />

A considerable number of heavy metal chelates are not destroyed<br />

during water pr~cessing~~, for example by bank filtration7',<br />

and may lead to a potential danger for the drinking-water supply.<br />

Microbial activities enhance the release of metals in three<br />

main ways: (i) by formation of inorganic compounds capable<br />

of complexing metal ions; (ii) by influencing the physical<br />

properties and the pH-Eh-conditions of the environment;<br />

(iii) by means of oxidative and reductive processes catalyzed<br />

by enzymes, microorganisms can convert inorganic metal compounds<br />

to organic molecules; organo-mercurial transformations show that<br />

such mechanisms may strongly increase metal toxicity' 3'74.<br />

The latter two mechanisms may be further aided by physical<br />

effects such as erosion, dredging and bioturbation, which<br />

also affect the release of pore solutions rich in metals.<br />

The senior author (U.F.) wishes to express his thanks to the<br />

organizers of the Workshop for their kind invitation to participate;<br />

additional support by the Centre Europben d'Etudes des Polyphosphates is<br />

gratefully appreciated. We are indebted to Dr. G. T. W. Wittmann (Pretoria)<br />

for providing data and valuable suggestions.<br />

LITERATURE CITED<br />

1. Wittmann, G. T. W. & Forstner, U. Water S.A., (1976) 2, 67-72.<br />

2. Kopp, J. F. & Kroner, R. C.. (1968). Trace Metals in Waters of the<br />

United States. U.S. Dept. Interior, FWPCA, Cinncinnati.<br />

230


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5.<br />

6.<br />

7.<br />

8.<br />

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DeGroot, A. J., &., (1973) Sware Metalen in Fluviatiele en<br />

Mariene Ecosystemen. Symp. May 24-25.<br />

Zullig, H., (1956). Schweiz. Zeitschr. Hydrologie, 18. 7-143<br />

Forstner, U., (1976) Naturwissenschaften, 63, 465-470<br />

Forstner, U. & Muller, G., (1974). Schwermetalle in Flussen und Seen<br />

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Laszlo, F., (1975) Abstr. Int. Conf. Heavy Metals Environm., Toronto,<br />

C-130.<br />

Wittmann, G. T. W. 6 FoKstneK, U.S. (1976) Afr. Jour. Sci. I?_,<br />

242-264<br />

Working Group Metals, Water Research Program of the German<br />

Research Society (Deutsche Forschungsgemeinschaft), unpubl.<br />

data.<br />

Banat, K., et&., (1972) Naturwissenschaften. 2, 525-528<br />

DeGroot. A. J., e. (1971) Geol. en Mijnb., <strong>50</strong> 393-398<br />

Oliver. B. G., (1973) Environmn. Sci. Technol., 2, 135-137<br />

Piper, D. 2.. (1971) Geochmin. Cosmochin. Acta, 25, 531-5<strong>50</strong>.<br />

Jones, A. S. G., (1973) Mar. Geol., g, Ml-M9.<br />

Literathy, P. 6 Laszlo, F., (1975). Int. Symp. Geochim. Natural<br />

Water, Burlington.<br />

Thomas, R. L.. (1972) Can. J. Earth Sci., 2. 636-651 E.,<br />

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Bruland, K. W., d., (1976). Environmn. Sci. Technol. 5, 425-432.<br />

Kemp, A. L. W., etg., (1976) Fish. Res. Board Can., 22, 440-462.<br />

Forstner, U. & Muller, G. Geoforum, (1973a). g 53-61 Rupert0<br />

Carola, (1973b), 51, 67-71 Fortschr. Miner., (1976) 12, 271-288.<br />

Schleichert. U. & Hellmann, H. (1973) Lit. Rept. Bundesanstalt<br />

fur Gewasserkunde Koblenz, 32 pp.<br />

Schleichert, U. (1975) Deutsche Gewasserkundl. Mitt., 19, 1<strong>50</strong>-157.<br />

Forstner, U. 6 Patchineelam, S. R., (1976) Chemikerzeitung, 100,<br />

49-57.<br />

Guy, R. D. 6 Chakrabarti, C. L. (1975) Abst. Inst. Conf. Heavy<br />

Metals Environnm., Toronto, D-29.<br />

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48.<br />

Rashid, M. A., (1974) Chem. Geol., 13, 115-123<br />

Rashid, M. A., (1971) Soil Sci., 111, 298-306<br />

Nissenbaum, A. & Swaine, D. J. (1976) Geochim. Cosmochim. Acta<br />

809-816<br />

Presley, B. J. et g., (1972) Geochim. Cosmochim. Acta, 2, 1073-1090<br />

Forstner, U. (1976) Proc. SIL/UNESCO-Symposium on Interactions Between<br />

Sediments and Freshwater, Amsterdam, 6-13 Sept., (in press)<br />

Lee, G. F., (1975) In: Heavy Metals in the Aquatic Environment (P.A.<br />

Krenkel, ed.), 137-147<br />

Patchineelam, S . R., (1975) Unpublished Diss. Heidelberg, 137 p.<br />

Popova, T. P., (1961) Geochemistry 12. 1256-1260<br />

Patchineelam, S. R. Paper Submitted for Publication<br />

Patchineelam, S. R. Paper Submitted for Publication<br />

Groth, P., (1971) Arch. Hydrobiol. 68, 305-374<br />

Wedepohl, K. H. (1970) Verh. Geol. Bundesanstalt Wien, 6, 692-705<br />

Hirst, D. M. 6 Nicholls, G. D. J. (1958) Sediment Petrol., E. 461-468<br />

Goldberg, E. D. & Arrhenius, G.O.S. (1958) Geochim. Cosmoschim. Acta,<br />

- 13, 153-212<br />

Arrhenius, G.O.S. & Korkish, J., (1958) Am. Assoc. Adv. Sci.,<br />

Chester, R. & Hughes, M. J., (1967) Chem. Geol., 2, 249-262<br />

Chester, R. & Hughes, X. J., (1969) Deep-sea Res., 16, 639-654<br />

Chester, R. & Hessiha-Hanna, R. G., (1970) Geochim. Cosmochim. Acta,<br />

- 34. 1121-1128<br />

Sayles, F. L. etg., (1975) Bull. Geol. SOC. her. 36, 1423-1431<br />

Nissenbaum, A. (1972) Israel J. Earth Sci., 11, 143-154 w.,<br />

(1976) 3, 111-116<br />

Gibbs, R. J. (1973) Science 180, 71-73<br />

Engler, R. M. a. (1974) 168th ACS Natl. Meeting, Atlantic City,<br />

N.J.<br />

Brannon, J. M. et 4.. (1976) U.S. Waterways Experim. Station Misc.<br />

Paper D-76-18.<br />

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49. Cupta, S . K. & Chen, K. Y. (1975) Environm. Lett., 10, 129-158<br />

<strong>50</strong>. Jackson, M. L. (1958) Soil Chemical Analysis, Prentice-Hall Inc.,<br />

Englewood Cliffs, N. J., 498 pp<br />

51. Holmgren, 6 . S. (1967) Soil Sci. SOC. Amer. Proc., 3, 210-211<br />

52. Chao, L. L. 1974) Soil Sci. SOC. Amer. Proc., z, 764-768<br />

53. Volkov, I. I & Fomina, L. S. (1974) APPG Mem., 2, 456-476<br />

54. .Jenne, E. A.<br />

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57.<br />

58.<br />

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66.<br />

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69.<br />

70.<br />

71.<br />

72.<br />

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(1968) Am. Chem. SOC. Adv. Ser. G, 337-387<br />

Koppe, P. (1973) Gas-Wasserfach, 114, 170-175<br />

Ouinker, .J. C. 6 Nolting, R. F. (1976) Neth. J. Sea. Res. LO, 71-<br />

102<br />

Muller, C. & Forstner, U., (1975) Environm. Geol., 1, 33-39<br />

Oden, S. & Ah., T. Sartryck Ur Ymer, 103-122 (Arsbok 1970)<br />

Whitby, L. X. &. (1976) Can. Mineralogist, 14, 47-57<br />

Forstner, U. & Wittmann, G. T. W. (1976) Geoforum 1. 41-49<br />

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91-94<br />

Tessenow, U. & Baynes, Y. (1975) Naturwissenschaften, 62, 342-343<br />

Reinhard, D. & Forstner, U.<br />

301-320<br />

(1975) N. Jb. Geol. Palaont. Mh.,<br />

Cline, J. T. & Upchurch, G. B. (1975) Proc. 16th Conf. Great Lakes<br />

Res., 349-356<br />

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Elderfield, H. & Hepworth, A. (1975) Mar. Poll. Bull., 6. 85-87<br />

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233


I NTRODUCT I ON<br />

Geochemistry of Sediment/Water Interactions of Nutrients,<br />

Pesticides and Metals, Including Observations on Availability.<br />

Nutrients<br />

D. R. Bouldin<br />

During the period September 1972 through September 1975, phosphorus<br />

fractions and flow were monitored in a 300 km2 (126 mi2) watershed in central<br />

New York. In addition several studies were made of composition and flow in<br />

selected subwatersheds for portions of this experimental period.<br />

The water samples were collected manually. Sampling frequency was<br />

concentrated during periods of high discharge rate. The total phosphorus in<br />

the water was separated into three fractions according to the following<br />

scheme. Within 2 to 3 hours after removal from the stream, the sample was<br />

centrifuged at high speed to remove particulate matter. The untreated supernatant<br />

was analysed immediately for inorganic phosphorus and this fraction<br />

was labelled molybdate reactive phosphorus (MRF'). Another portion of the<br />

supernatant was oxidized with persulfate and the results of this analysis<br />

were labelled TSP. Finally, samples of the particulate matter were analysed<br />

for total phosphorus. Hence we derive 3 fractions: a) a molybdate reactive<br />

fraction which is probably mainly dissolved inorganic phosphorus, b) a<br />

fraction which includes the molybdate reactive plus organic phosphorus and<br />

c) the particulate fraction which is primarily the phosphorus associated with<br />

the suspended solids.<br />

The total quantity of these various fractions carried out of the<br />

watershed during a specified time interval (loading) was calculated as follows.<br />

The concentration of MRP increased as discharge rate increased and the concentration<br />

of MRP was higher on the ascending limb of the hydrograph relative to<br />

the descending limb; hence, regressions of MRP on discharge rate and rate of<br />

change of discharge rate were calculated and these regressions were used for<br />

interpolation purposes. The loading of MRP was then calculated as the sum of<br />

the product of discharge per 2 hours, times concentration calculated from the<br />

regression. In general the difference in concentration between MRP and TSP<br />

was relatively constant and seemed to vary in a random fashion about the mean<br />

of 12 microgrammes P/1. The phosphorus content of the particulate matter<br />

varied randomly about a mean 0.11% of P.<br />

There are 3 aspects of the data which will be discussed in detail.<br />

These are: 1) The removal from solution of soluble phosphorus inputs from<br />

point sources during movement downstream, presumably by reaction with the<br />

streambed. 2) A procedure for allocating the loading of soluble phosphorus<br />

to a) biogeochemical ("natural" or "background") sources, b) diffuse sources<br />

associated with human activity and c) point sources associated with human<br />

activity. 3) A rationale for the working hypothesis that the soluble phosphorus<br />

will have a major impact on the biology of lakes while the phosphorus<br />

associated with the particulate matter will have only a minor impact.<br />

235


Two independent subwatersheds which together comprised about 3/4 of<br />

the total area of the whole watershed were selected for detailed study of<br />

behaviour of soluble phosphorus. One of these subwatersheds (location 16)<br />

contained a secondary sewage treatment plant serving 1200 people who effluent<br />

was emptied into the stream. This served as a major point source of soluble<br />

phosphorus. The other subwatershed (location 15) was similar in other aspects<br />

but did not contain such well a defined point source. One set of data which<br />

illustrates that the total soluble phosphorus (TSP) was not conserved in<br />

the stream is presented in Table 1. Particularly noteworthy are the losses<br />

during low flow periods, which were primarily the summer months. Presumably<br />

this loss is associated with reaction between phosphorus in the water and<br />

material in the streambed. During the periods of higher flow, there appeared<br />

to be some redissolution of this phosphorus, but recovery was not complete.<br />

Two small subwatersheds which were almost devoid of human activity<br />

were selected for study of total soluble phosphorus loading in the absence of<br />

human activity, and in addition the water from 4 wells sunk in an active<br />

agricultural area located on well-drained outwash was monitored. All of the<br />

samples from these sites contained about same the amount of MRP and TSP<br />

regardless of source. The averages were 62 0.3 microgrammes MRP/1 (123 samples)<br />

and 15% 0.9 microgrames TSP/1 (107 samples). Thus the loading of these phosphorus<br />

fractions in the absence of human activity was set equal to these concentrations<br />

times total discharge, which averages about 0.5 meter/ year in the<br />

area we studied.<br />

The remainder of the MRP and TSP was allocated to the sum of the<br />

diffuse and point sources. The landscape is a mosaic of point and diffuse<br />

sources. There are numerous single family dwellings (%3000), a sizeable<br />

fraction of which are served by septic tank-disposal fields which are not<br />

functioning properly and many simply overflow into drainageways. Milk house<br />

wastes are often emptied into drainageways. There are about 125 dairies in<br />

the watershed most of which have barnlots and the manure from these is spread<br />

on the associated cropland. Since the strategy for control of this multitude<br />

of sources is very different and since control of all is probably impractical,<br />

some means of estimating the relative importance would provide useful insights.<br />

The rationale for the separation of these sources is as follows.<br />

The diffuse sources have a major impact on water composition only when water<br />

runs over the soil surface and into drainage ways. Thus there is a soil<br />

factor and a precipitation intensity-distribution factor. Some soils are so<br />

permeable to water that only on very rare occasions will water run over the<br />

surface and into flowing drainageways. These are usually the most intensively<br />

farmed soils, and also receive the most manure. On the other hand, overland<br />

flow of water is common on less permeable soils and this is particularly true<br />

for barnlots where the compaction from the animal traffic reduces permeability.<br />

In contrast, milk house wastes and sewage inputs are mostly the same each day<br />

regardless of precipitation intensity.<br />

The foregoing discussion suggests that the major impact of diffuse<br />

source loading will be on the high discharge associated with precipitation<br />

events which produce large amounts of surface runoff. A complicating factor<br />

(during high discharge) is the dissolution of phosphorus from bed sediment<br />

which has reacted with point sources during the preceding low discharge<br />

intervals.<br />

236


TABLE 1<br />

Comparison of loading of total soluble phosphorus during selected<br />

periods for 2 major subwatersheds (locations 15 and 16) and the<br />

total watershed (location 1). The areas of subwatersheds 15 and 16<br />

are 147 and 104 km2 respectively and the area of watershed 1 is<br />

330 km’. Note that during low discharge intervals, the MRP loading<br />

from 15 and 16 was considerably higher than that at location 1,<br />

even though location 1 included 15, 16 and an additional 78 km2<br />

of area. Location 16 includes the secondary sewage treatment plant.<br />

r<br />

Discharge at<br />

location 1<br />

Period<br />

(m3 x<br />

15<br />

May 1974<br />

through<br />

October 1974<br />

November 1974<br />

through<br />

May 1975<br />

May 1974<br />

through<br />

August 1975<br />

40<br />

153<br />

210<br />

237<br />

340<br />

822<br />

1253


We proceeded to analyse high discharge events as follows utilizing<br />

the hydrograph analysis of Chow. This separates flow into 3 components:<br />

a) that associated with a base flow reservoir<br />

b) that associated with an interflow reservoir and<br />

c) that associated with surface runoff.<br />

Then a plot of the concentration MRF' of against surface runoff as a<br />

fraction of total flow was made and the results were extrapolated to 100%<br />

surface runoff. which served to estimate the concentration of MRP in the<br />

surface runoff.<br />

The results for the whole watershed for three winters are illustrated<br />

in Figure 1. The results indicate the concentration of MRP in the surface<br />

runoff is in the range of 34 to 60 microgrammes MRP/1, which is considerably<br />

higher than the 6 microgrammes MRP/l estimated for biogeochemical sources.<br />

The loading of diffuse sources was then calculated as the product of the<br />

estimated concentration at 100% surface runoff multiplied by the estimated<br />

amount of surface runoff (5 12 to 15% of total discharge). Finally, the<br />

point source inputs were estimated by difference.<br />

To summarize the calculations, the biogeochemical inputs were<br />

estimated as the product of total flow times average concentration MRP (or of<br />

TPS) in wells and stream flow from watersheds devoid of human activity. The<br />

inputs associated with human activity were estimated as the difference between<br />

total loading and biogeochemical loading. The diffuse source loading (associated<br />

with human activity) was calculated as the product of estimated concentration<br />

in surface runoff times estimated amount of surface runoff (% 12-<br />

15% of total flow in the watershed studied). Finally the point source inputs<br />

were estimated as the remainder.<br />

Samples of the results of this analysis are presented in Table 2.<br />

Clearly one can raise many questions about the validity of this procedure.<br />

We defend it to the extent that it represents a reasonable first approximation<br />

and simultaneously suggest a more precise and less arbitrary procedure<br />

should be developed.<br />

The third aspect of our analysis is associated with the implications<br />

of results of loading of phosphorus to the biota of lakes. The phosphorus<br />

Carried in streams is distributed among several chemical forms and physical<br />

states. Consideration of the nature and behaviour of these several components<br />

suggests that their effect on the biology of lakes differs. A major fraction<br />

of the total phosphorus carried out of a watershed by a stream is associated<br />

with the particulate matter suspended in water, the much of which is delivered<br />

during a relatively short period of time when the discharge rate is very high<br />

and hence the velocity of flow is sufficient to transport particles of varying<br />

sizes and densities. A smaller fraction of the total phosphorus is dissolved<br />

in the water. For example, during storm periods Fall Creek water often<br />

contained <strong>50</strong>0 to 1000 microgrammes of phosphorus per litre associated with<br />

particulate matter and 20 to 40 microgrammes per litre of dissolved phosphorus.<br />

Upon reaching the lake these fractions behave very differently; the larger<br />

particles soon settle to the bottom because water movement in the lake is no<br />

longer sufficient to keep them in suspension. At least in the lakes in<br />

central New York, a few days after large a storm which delivers large amounts<br />

of suspended solids, the water in the lake (even near stream outlets) becomes<br />

relatively clear and only the fine particles remain in suspension plus, of<br />

238


TABLE 2.<br />

ALLOCATION OF MOLYBDATE REACTIVE PHOSPHORUS (MRP)<br />

IN WATER AT LOCATIONS 15, 16 AND 1 FOR THE PERIOD<br />

MAY 1974 THROUGH AUGUST 1975.<br />

BGC 11<br />

Human Activity<br />

Point Diffuse Total<br />

Location kg x<br />

kg x<br />

kg x kg<br />

15<br />

16<br />

1<br />

"Biogeochemical<br />

45<br />

1260 41<br />

n<br />

a<br />

x 00<br />

394 22<br />

1100 61<br />

885 20<br />

590 47 12<strong>50</strong> 95 8 565<br />

310 17<br />

I I I<br />

025 0<strong>50</strong> 0.75 1.0<br />

SURFACE RUNOFF + TOTAL DISCHARGE<br />

Figure 1. The regressions of MRP concentration on fraction of<br />

the total flow as surface runoff at location 1 for<br />

three winters.<br />

239<br />

30<br />

1800<br />

3060 930


course, the dissolved constituents. Lake samples seldom contain more than a<br />

total of 10 to <strong>50</strong> microgrammes of phosphorus per litre in all forms. Thus<br />

the phosphorus remaining in the lake water is very different in nature and<br />

amount from that delivered by the stream during storm periods.<br />

According to the reasoning which follows, the amount of particulate<br />

phosphorus delivered by the stream has only a minor effect on the biology of<br />

lakes, while the dissolved phosphorus has a major effect.<br />

First, the bottom of the lake is covered with sediment delivered by<br />

past events from the lake basin. If the phosphorus in the sediment delivered<br />

by past events was essentially in the same forms as that delivered by current<br />

events, accumulation of more of the same seems unlikely to change the effect<br />

of the bottom sediments on lake biology; that is, adding a few millimetres<br />

of sediment to several metres of sediment seems unlikely to have an important<br />

effect on lake biology.<br />

Second, questions can be raised about the chemical activity of the<br />

particulate phosphorus; for example, if samples of suspended solids were<br />

leached with phosphorus-free water, how rapidly would the solid phase phosphorus<br />

dissolve and what would be the concentration of phosphorus in the leaching<br />

water? The results of such studies show that there is a small amount (usually<br />

considerably less than 10%) of the total phosphorus which dissolves fairly<br />

rapidly and that the concentration of leachate decreases as leaching continues.<br />

Such phosphorus is referred to as labile or sorbed phosphorus. Once this<br />

labile phosphorus is removed, the remainder dissolves very slowly and concentrations<br />

in solution are only few a microgrammes per litre. Furthermore,<br />

this is consistent with the fact that most of the phosphorus associated with<br />

the suspended solids has persisted through long geological periods; its<br />

resistance to dissolution must be considerable or it would have been leached<br />

out of the unconsolidated mantle and carried to the sea long ago. The results<br />

of studies with Fall Creek sediments demonstrate that the particulate matter<br />

contains about 1.1 milligrammes of total phosphorus per gram and about 0.04<br />

milligrammes (4%) of this is in a labile or sorbed form.<br />

Further evidence that soluble, not adsorbed, phosphorus is the<br />

critical factor determining phytoplankton concentrations is provided by<br />

comparative studies of the way lakes respond to phosphorus loadings. Detailed<br />

investigations on a group of New York lakes revealed that average summer<br />

standing crops of phytoplankton were better correlated with loadings calculated<br />

as soluble phosphorus than with those determined in the form of total<br />

phosphorus. Models resulting from this work have subsequently been extended<br />

to a global basis for temperate latitude lakes. These and other arguments<br />

lead us to formulate the following hypotheses about the effects of these fractions<br />

for temperate systems with soils and bedrock similar to those of the New<br />

York lakes: 1) probably 100% of the molybdate reactive phosphorus (MRP) and<br />

most of the total soluble phosphorus (TSP) is available to organisms in<br />

lakes. 2) probably the labile or sorbed fraction of particulate phosphorus<br />

is of limited importance to the biology of lakes. 3) probably the remainder<br />

of the particulate phosphorus is of no consequence to the biology of lakes.<br />

A most important aspect of the preceding paragraphs is to at least<br />

emphasize the question of biological effects of the different phosphorus<br />

fractions. There seems to be no reasonable defense for the hypothesis that<br />

all fractions are of equal biological importance. Thus measurements of<br />

loading based on the single parameter of total P delivered by streams seem to<br />

240


e of limited value in terms of estimating impact on lake biology. However,<br />

total P in the photic zone of the lake is an important parameter, but it<br />

should be noted that total P delivered by the stream and total P in lake<br />

water are entirely different; in fact, MRP the and TSP fractions measured<br />

in stream flow are probably comparable in many respects to total P in lake<br />

samples.<br />

Major portions of the work reported here were performed in cooperation<br />

with an interdisciplinary team funded in part by the Rockefeller<br />

Foundation, FT70103. A more comprehensive summary of the project is to be<br />

found in the following book:<br />

Porter, Keith, ed. Nitrogen and Phosphorus: Food Production,<br />

Waste and the Environment. Ann Arbor Sci. Publications,<br />

Inc. Ann Arbor, 1975.<br />

241


DISCUSSION<br />

Dr. T. Logan: You mentioned the method that you used for estimating the<br />

labile phosphorus by using the equilibrium phosphorus concentration and<br />

extrapolating to the amount that is desorbed. We have been doing more or<br />

less the same type of procedure to find what fraction of the particulate<br />

phosphorus might be bio-available. The only thing that bothers me about<br />

that method is that it is time-dependent. It is the amount that you are<br />

going to desorb in a given time which you pretty well define by your experimental<br />

conditions. But if you consider the situation that might be<br />

occurring in the lake, it is possible that you can regenerate additional<br />

labile phosphorus if you let the sediment rest or put it through a rest<br />

period. We have done some of this and in fact you can regenerate a considerable<br />

amount of labile phosphorus. I want to know how we try and resolve<br />

these types of problems.<br />

Dr. D. Bouzdin: The argument I would use is that we are interested in the<br />

incremental effect on the phosphorus associated with the sediments we that<br />

are adding. We assume that the sediments already there contain the phosphorus<br />

that they inherited from the geological materials and that adding a fresh<br />

batch really is not going to have too much influence on the lake. The thing<br />

is, the new sediment coming in has this labile fraction that in may fact<br />

have a much larger impact on the lake than the old sediment. That is our<br />

rationale, and to be sure I would not say that what we did was the best.<br />

It is a crude estimate and you can go into a lot of refinement with that,<br />

and I think you probably should. The only point I am trying to make Is that it is not a very large fraction of the total sediment phosphorus that<br />

we are dealing with. It is a relatively small fraction in our particular<br />

case and I do not think this is something that you extrapolate everywhere.<br />

Dr. T. Logan: The other point is, do you think that this labile phosphorus<br />

is a sediment parameter? Do you see it changing with land use OK fertilization<br />

practices, manure practices, this type thing, of or is it more or<br />

less determined by the soil characteristics?<br />

Dr. D. BouZdin: I think it should very much depend on the kinds of treatment.<br />

I would think the suspended solids derived from a non-agricultural landscape<br />

are quite different in nature from those derived from a barnlot. The amount<br />

243


of labile phosphorus on the barnlot sediments is quite high. Let me say<br />

one other thing, I am just convinced from everything I see and all the<br />

analysis of the data I can carry out, that well over <strong>50</strong>% of the total suspended<br />

solids in the Fall Creek Watershed are simply derived from stream bank<br />

erosion, and this is not the kind of erosion that is the reworking old sediments.<br />

In one case in the stream sub-watershed that gives me the highest<br />

loading of suspended solids, the stream is clearly eating its way through an<br />

old terminal moraine. It has not got there yet. It is still chewing away on<br />

that and you can see that in very many places in the watershed. We have got<br />

a little bit of suspended solids from the barnlots mixed up with a lot of<br />

stuff that has never seen phosophorus or manure or anything else. It is<br />

ground up glacial debris that has been sitting there 10,000 for years.<br />

244


INTRODUCTION<br />

Geochemistry of Sediment/Water Interactions of Nutrients,<br />

Pesticides and Metals, Including Observations on Availability.<br />

Pesticides<br />

J. B. Weber<br />

Pesticides used in agricultural production eventually reach the<br />

soil where they are acted upon by various processes. The chemicals may<br />

be decomposed by chemical, biological, or photochemical degradation.<br />

They are also acted upon by transfer processes such as adsorption, exudation,<br />

retention and accumulation by organisms, adsorption by soil<br />

colloids, and other surfaces, and movement in the vapour, liquid and<br />

solid state through the atmosphere, soil, and water (1. 2, 3). In this<br />

paper, we are concerned primarily with pesticides and particulate matter<br />

that end up as sediment in water.<br />

SEDIKNT<br />

Soil sediment is defined as the solid material, both mineral<br />

and organic, that is in suspension, is being transported, or has been<br />

moved from its site of origin by air, water, gravity, or ice and has come<br />

to rest on the earth's surface either above or below sea level (4). It<br />

is by far the United States' single largest water pollutant, exceeding the<br />

sewage load by some <strong>50</strong>0 to 700 times (5). About half of all sediment<br />

originates on agricultural land (6) and some of it contains adsorbed<br />

pesticides (7).<br />

The properties of sediment influence its effect on the environment.<br />

Physical properties, including size, density, and shape of the particles<br />

affect the sediment movement. Coarse sediment is relatively inert, but fine<br />

sediments composed of silt, clay, and organic materials are chemically<br />

active and may absorb or desorb chemicals from solution. The bulk of the<br />

sediment problem, however, is caused by the colloidal fractions of sediment.<br />

The colloidal material may be a mixture of clay minerals, of the expanding<br />

or nonexpanding type, and of organic materials ranging from relatively<br />

hydrophilic and undecomposed to highly lipophilic and highly decomposed.<br />

Little is known about the chemistry of sediment in field situations, but<br />

information is available on the interaction of pesticides with various<br />

soil colloids and specific adsorbents (3,8). It is also known that<br />

radioactive materials from fallout selectively erode with soil sediment<br />

and may result in higher concentrations of radioactivity in reservoir<br />

deposits (7) and there is a good possibility that an analogous situation<br />

is occurring with pesticides. A recent survey along tributaries of the<br />

lower Mississippi River revealed isolated bottom sediment deposits containing<br />

as much as 0.5 ppm DDT (9).


Complete elimination of soil erosion is impossible, so guidelines<br />

are being developed to define acceptable levels of erosion and sedimentation<br />

(10). Models for predicting runoff (11) and pesticide movement through<br />

soils (12) are being developed. An excellent bibliography on the effects of<br />

agricultural practices or environmental quality is also available (13).<br />

PESTICIDE I~RACTION~<br />

Herbicides, insecticides, and fungicides vary greatly in their<br />

physical and chemical properties and in their behaviour in the environment<br />

(1, 3, 14, 15, 16). Of the many properties that regulate pesticide behaviour,<br />

at least four are of primary importance. They include: (a) ability to ionize;<br />

(b) presence of complexing elements (P, As); (c) water solubility; and<br />

(d) ability to vapourize (3). A classification of pesticides based on the overall<br />

characteristics of these four properties of selected pesticides is shown<br />

in Table 1. Chemical names for the compounds are given in Table 2.<br />

PESTICIDE FROPERTIES<br />

The ability of a pesticide to ionize determines whether or not the chemical<br />

will have an ionic charge in aqueous solution. Cationic pesticides, such as<br />

the herbicides cyperquat, difenzoquet, diquat, and paraquat, are readily<br />

adsorbed by negatively charged surfaces of colloidal soil sediment (3).<br />

They are completely removed from aqueous solution by colloidal sediment and<br />

move with the sediment (3). Anionic pesticides, such as the acidic herbicides<br />

dalapon, dicamba. picloram, and 2,4-D are adsorbed in only small<br />

amounts by colloidal soil sediment and are readily desorbed in aqueous<br />

systems (3). They are, therefore, found primarly in the solution phase in<br />

waters. Basic pesticides, such as the 6-triazine herbicides ametryn,<br />

atrazine, prometon, and prometryn are adsorbed by acidic colloidal surfaces<br />

in relatively large amounts and by neutral or basic colloidal surfaces in<br />

much smaller amounts. Since their adsorption is dependent on the acidity of<br />

the system, the amount that is retained or released by soil sediment depends<br />

on the pH of the system (3, 17). They are, therefore, in equilibrium with<br />

the sediment and the solution phase. Nonionic pesticides are adsorbed by<br />

colloidal surfaces primarily through physical adsorption forces the and<br />

amount that is retained by soil sediment is dependent to a large extent upon<br />

the water solubility of the pesticide and the hydrophilic/lipophilic characteristics<br />

of the sediment (3). Relatively water soluble, nonionic pesticides,<br />

such as aldicarb, CDAA, dimethoate, molinate, carbetamide, fenuron,<br />

methomyl, and propoxur, are adsorbed soil by colloids in very small amounts<br />

and are readily desorbed in dynamic, aqueous systems. Pesticides of very<br />

low water solubility such as aldrin, BHC, lindane, trifluralin, DDT, dieldrin,<br />

endrin, and oryzalin, are adsorbed by highly lipophilic organic colloidal<br />

sediments but not by hydrophilic clay colloids. They are in equilibrium<br />

with the surrounding aqueous phase, but because of their low solubilities<br />

desorb only slightly. Nonionic pesticides of moderate water solubilities<br />

are intermediate between the low and high water soluble compounds in their<br />

reaction with colloidal sediments. Pesticides which possess complexing<br />

elements such as phosphate, (demeton, disulfoton, glyphosate, parathion, and<br />

phorate) or arsenic (DSMA, MAMA and MSMA) readily complex with clay colloids<br />

and move with these sediments.<br />

246


N<br />

c.<br />

U<br />

TABLE 1.<br />

CLASSIFICATION OF SELECTED PESTICIDES BASED ON OVEMLL THE CHARACTERISTICS OF<br />

IONIZABILITY, WATER SOLUBILITY, PRESENCE OF COMPLEXING ELEMENTS, AND VAPOURIZABILITY<br />

Ionic Pesticides<br />

I With<br />

Complexing High<br />

Nonionic Pesticides<br />

Water Moderate Water Low Water<br />

Elements Solubility Solubility Sol<br />

Cationic Basic Acidic Non- Non- Non-<br />

Pesticides Pesticides Pestieides Volatile Volatile Volatile Volatile Volatile Volatile Volatile Volatile<br />

cyperquat ametryn dalapon demeton DSMA aldicarb carbetamide CDEC butachlor aldrin DDT<br />

difenzoquat atrazine dicamba disulfoton glyphosate CDAA fenuron EPTC diuron BHC dieldrin<br />

diquat prometon picloram parathion MAMA dimethoate methomyl pebulate fluometuron lindane endrin<br />

paraquat prometryn 2,4-D phorate MSMA molinate propoxur vernolate monuron trifluralin oryzalin<br />

~~


Common<br />

Name<br />

cyperquat<br />

difenzoquat<br />

diquat<br />

paraquat<br />

one t ryn<br />

atrazine<br />

prometon<br />

prometryn<br />

dalapon<br />

dicamba<br />

picloram<br />

2,4-0<br />

demeton<br />

disulfoton<br />

parathion<br />

phorate<br />

DSMA<br />

glyphosate<br />

"A<br />

MSMA<br />

aldicarb<br />

Table 2.<br />

NAMES AND PROPERTIES SELECTED PESTICIDES<br />

Chemical Name<br />

Water<br />

solubility<br />

(wd<br />

1-methyl-4-phenylpyridinium ion >lo5<br />

1.2-dimethyl-3.5-diphenylpyrazium ion >lo5<br />

6.7-dihydrodipyrido[1,2-a:2',1'-c]pyrazinediium ion>105<br />

l,l'-dimethyl-4,4'-bipyridinium ion >lo5<br />

2-(ethylamino)-4-(isopropylamino)-6-(methylthio) 185<br />

-s-triazine<br />

2-chloro-4-(ethylamino)-6-(isopropylamino)-s- 33<br />

triazine<br />

2,4-bis(isopropylamino)-6-(methoxy)-s-triazine 7<strong>50</strong><br />

2.4-bis(isopropylamino)-6-(methylthio)-s-triazine 48<br />

2,2-dichloropsopionic acid<br />

3,6-dichloro-o-anisic acid<br />

4-amino-3,5,6-trichloropicolinic acid<br />

2,4-dichlorophenoxy acetic acid<br />

0,O-diethyl-o(and S)-(Z-(ethylthio)ethyl)<br />

phosphorothioates<br />

0,O-diethyl-S-(2-ethy1thio)ethyl)phosphoro-<br />

dithioate<br />

0,O-diethyl-0-p-nitrophenyl phosphorothioate<br />

0,O-diethyl-S-(ethy1thio)-methyl phosphoro-<br />

dithioate<br />

disodium methanearsonate<br />

N-phosphonomethylglycine<br />

monoammonium methanearsonate<br />

monosodium methanearsonate<br />

2-methy1-2-(methylthio)-propionaldehyde-O-<br />

(methylcarbamoy1)oxine<br />

248<br />

>lo5<br />

4<strong>50</strong>0<br />

430<br />

900<br />

2<strong>50</strong><br />

66<br />

24<br />

<strong>50</strong><br />

>lo5<br />

>lo5<br />

loG<br />

lo6<br />

6000<br />

Vapour<br />

pressurc<br />

(mm Hg @ 21<br />

< 10-<br />

(10-6<br />

2 x 10-6<br />

5 x<br />

3 x 10-6<br />

a0-6<br />

1 x 10"~<br />

1.8 x<br />

2.3 x<br />

1 x<br />

10"<br />


Common<br />

Name<br />

CDlZA<br />

dimethoate<br />

molinate<br />

carbetamide<br />

f enuron<br />

methomyl<br />

propoxur<br />

CDEC<br />

EPTC<br />

pebulate<br />

vernolate<br />

butachlor<br />

diuron<br />

fluometuron<br />

monuron<br />

aldrin<br />

BHC<br />

lindane<br />

trifluralin<br />

DDT<br />

dieldrin<br />

endrin<br />

oryzalin<br />

Chemical Name<br />

N,N-diallyl-2-chloroacetamide<br />

0,O-dimethyl-S-(-methylcarbamoylmethyl)<br />

phosphorodithioate<br />

S-ethylhexahydro-1H-azepine-1-carbothioate<br />

D-N-ethyl-2-(phenylcarbamoyloxy)-propioamide<br />

l,l-dimethyl-3-phenylurea<br />

Water<br />

solubility<br />

(ppm)<br />

>lo5<br />

25,000<br />

800<br />

3<strong>50</strong>0<br />

3000<br />

S-methyl-N-((methylcarbamoy1)oxy)thioacetimidate 10,000<br />

2-isopropylphenyl-N-methylcarbamate<br />

2-chloroallyl diethyldithiocarbamate<br />

S-ethyl dipropylthiocarbamate<br />

S-propyl butylethylthiocarbamate<br />

S-propyl dipropylthiocarbamate<br />

N-butoxymethyl-2-chloro-2',6'-diethylacetanilide<br />

3-(3,4-dichlorophenyl)-l,l-dirnethyurea<br />

1,l-dimethyl-3-(a,a,a-trifluoro-m-tolyl)urea<br />

3-(p-chlorophenyl)-l,l-dimethylurea<br />

1,2,3,4,10,10-hexachloro-l,4,4a,5,8,8a-hexahydro-<br />

1,4-endo-exo-5,8-dimethanonaphthalene<br />

1,2,3,4,5~,6-hexachlorocyclohexane<br />

gamma isomer of 1,2,3,4,5,6-hexachlorocyclohexane<br />

2000<br />

92<br />

370<br />

60<br />

90<br />

23<br />

42<br />

90<br />

230<br />

0.2<br />

a,a,a-trifluor-2,6-dinitro-N,N-dipropyl-p-toluidine 0.05<br />

dichlorodiphenyltrichlorethane 0.001<br />

1,2,3,4,10,10-hexachlor-exo-6,7-epoxy-l,4,4a,5,6, 0.25<br />

7,8,8a-octahydro-l,4-endo-exo-5,8-dimethano-<br />

naphthalene<br />

1,2,3,4.10,10-hexachloro-6,7-epoxy-1,4.4a.5.6.7 0.23<br />

8,8a,-octahydro-l,4-endo,endo-5,8-dirnethanonaphthalene<br />

3,5-dinitro-N4,N'-dipropylsulfanilamide 2.4<br />

249<br />

10<br />

10<br />

Vapour<br />

pressure<br />

(mm Hg @ 25'C)<br />

1 x io-'<br />

5.6 x<br />

(10-<br />

2.2 x 10-3<br />

3.4 x<br />

3.5 x<br />

1.0 x<br />

4.5 x<br />

5 x<br />

10-<br />

5 X<br />

1.3 x 10"<br />

1.9 X<br />

10-<br />

2.7 X loq6<br />

2 x 10"


Pesticides with vapour pressures higher than 1 x mm of Hg at<br />

25' C are considered to be volatile and generally need to be incorporated<br />

into the soil to be effective (3). Generally the higher the vapour pressure,<br />

the more volatile is the chemical. Such pesticides, including those listed<br />

in Table 1 and the esters of the phenoxy acid herbicides, are adsorbed by<br />

colloidal soil sediments, but they are readily desorbed in dynamic aqueous<br />

systems; in addition the vapours escape from the aqueous phase into the<br />

atmosphere.<br />

PESTICIDE b m ~ ~<br />

Studies on the movement of pesticides from agricultural lands<br />

showed that the chemicals were transported both in the runoff water and<br />

adsorbed to suspended materials (18, 19, 20, 28). The amounts transported<br />

in runoff depended on climatic factors such as frequency, intensity, and<br />

duration of rain; chemical properties of the pesticides; and properties of<br />

the soils such as soil type, slope, and moisture content and surface condition.<br />

Barnett % &. (18) found that ester formulations of 2,4-D were<br />

more susceptible to runoff than the more soluble amine salt forms. The<br />

ester forms adsorbed to soil particles and moved with the eroding soil,<br />

whereas the amine forms dissolved and leached into the soil.<br />

Surface runoff of 2,4-D and picloram was found to be greater from<br />

sod than from fallow soil surfaces in studies by Trichell (19). The opposite<br />

was found by Edwards (30) to be the case for atrazine. Runoff of 2,4,5-T was<br />

about equal under the same conditions (3). Herbicide runoff increased with<br />

increasing slope and rate of application and concentration decreased when<br />

runoff passed over untreated sod.<br />

In studies where trifluralin, DDT, toxaphene, or methylparathion<br />

was applied to cotton, less than 1%, 3.12%, 1%, and 0.25%, respectively, was<br />

recovered in the runoff (26, 26). Of the four pesticides recovered, 84%,<br />

96%, 75%, and 12%, respectively was associated with the sediment.<br />

The highest concentrations of diuron, summitol, 2,4-D, 2,4,5-T,<br />

and picloram observed in surface runoff waters were 1.8 ppm, 0.5 ppm, 4.2<br />

ppm. 1.2 ppm, and 2.7 ppm respectively, in ditchbank weed control studies<br />

in Utah (29). The greatest herbicide movement occurred during intial storms<br />

following herbicide application.<br />

Fluometuron movement in runoff from studies conducted in five<br />

southern states, and Puerto Rico, ranged from 0.10 to 0.87 ppm in the first<br />

runoff and decreased to less than 0.2 ppm in later runoff (21). Most of the<br />

herbicide was found distributed in the 0 to 30 cm zone (22), but in two<br />

sandy soils it was found in the 15 to 30 cm zone in high enough concentrations<br />

in injure bioassay plants (23).<br />

In a study conducted in areas where forest vegetation had been cut<br />

two years before spraying, less than 0.1% of the 2,4-D, and less than 1% of<br />

the picloram applied was lost in runoff from the first seven runoff events<br />

after herbicide application (24).<br />

2<strong>50</strong>


Sheets st. (25) found, where 2,4-D, 2,4,5-T, picloram, or<br />

dicamba was applied to small plots in a mountain watershed, maximum con-<br />

centrations of 2.55 ppm, 0.68 ppm, 4.19 ppm, and 0.16 ppm, respectively,<br />

occurred in surface runoff during the first OK second event after application.<br />

BIOACTIVITY OF ADSOREED PESTICIDES<br />

Biological availability of bound pesticides is dependent upon the<br />

type of pesticide and colloidal sediment involved (2, 17). Pesticides that<br />

are weakly adsorbed to the surfaces of colloidal sediment, such as the<br />

phenoxy acid herbicides, are readily desorbed into the surrounding aqueous<br />

environment and dissipate primarily through dilution. Pesticides, such as<br />

diquat and paraquat, that are adsorbed on the internal surfaces of expanding<br />

types of clay colloids are not released to the aqueous phase and are not<br />

available to organisms. Pesticides that are very water insoluble are normally<br />

adsorbed to the surface of lipophilic sediment. They are in equilibrium<br />

with the surrounding aqueous environment and are released or degraded chemically<br />

OK biologically, except in those cases where the chemicals have<br />

become part of the organic collodial matrix. The majority of pesticides are<br />

intermediate in biological degradability in the bound state. They are in<br />

equilibrium with the surrounding dynamic media which tends to desorb them<br />

and make them available for degradation.<br />

GMCLUS IONS<br />

The extent to which pesticides applied to agricultural lands may<br />

pollute runoff water and the eroding sediment depends on the physical,<br />

chemical, and biological properties of the chemicals, the intensity and<br />

duration of the rainfall, and edaphic properties such as soil cover, soil<br />

type, and slope.<br />

LITERATURE CITED<br />

A Primer on Agricultural Pollution. (1971)., J. Soil and Water<br />

Conservation, g,(2); 44-65.<br />

Bailey, G. W., R. R. Swank, Jr., and H. P. Nicholson. (1974).,<br />

Predicting Pesticide Runoff from Agricultural Land: A<br />

Conceptual Model. J. Environ. Qual., 2,95-102.<br />

Barnett, A. P., E. H. Hauser, A. W. White, and J. H. Holladay.<br />

(1967)., Loss of 2,4-D in Washoff from Cultivated Fallow Land.<br />

Weeds, x, 133-137.<br />

Barthel, W. F., J. C. Hawthorne, J. H. Ford, G. C. Bolton,<br />

L. L. McDowell, E. H. Grissinger, and D. A. Parsons.<br />

(1969)., Pesticide Residue in Sediments of the Lower Mississippi<br />

River and its Tributaries. Pesticides Monitoring J., 2(1),<br />

8-66.<br />

251


Bradley, J. R., Jr., T. J. Sheets, and M. D. Jackson. (1972).,<br />

DDT and Toxaphene Movement in Surface Water from Cotton Plots.<br />

J. Environ. Qual., 1. 102-105<br />

Control of Water Pollution from Cropland. (1975) Vol. 1-A Manual for<br />

Guideline Development. ARS, USDA, and Office of Research<br />

and Development, EPA Report No. ARS-H-5-1, Superintendent of<br />

Documents, Washiongton, D. C.<br />

Davidson, J. M., G. H. Brusewitz, D. R. Baker, and A. L. Wood.<br />

(1975)., Use of Soil Parameters for Describing Pesticide Movement<br />

Through Soils. Environmental Protection Agency Report No.<br />

660/2-75-009, National Environmental Research Centre, Office<br />

of Research and Development, EPA, Corvallis, Oregon. 149 pp.<br />

Edwards, W. M. (1972)., Agricultural Chemical Pollution as Affected<br />

by Reduced Tillage Systems. Proc. No-Tillage Systems Symposium,<br />

February 21-22, 1972, Columbus, Ohio., pp. 30-40.<br />

Environmental Quality: An Annotated Bibliography of Papers,<br />

Published in the Soil Science Society of America Proceedings,<br />

(1962-1971)., Soil Science Society of America, Madison, Wisconsin,<br />

1975.<br />

Epstein, E. and W. J. Grant., (1968). Chlorinated Insecticides in<br />

Runoff water as Affected by Crop Rotation. Soil Sci. SOC.<br />

Amer. Proc., 32, 423-426.<br />

Evans, J. 0. and D. R. Duseja. (1973)., Herbicide Contamination of<br />

Surface Runoff Waters. Environmental Protection Agency Report<br />

R2-73-266. Superintendent of Documents, U.S. Government,<br />

Washington, D. C., 99 pp.<br />

Glymph, L. M. and C. W. Carlson. (1966)., Cleaning Up Our Rivers and<br />

Lakes, Paper No. 66-711. American Society Agricultural<br />

Engineering, St. Joseph, Michigan. 43 pp.<br />

Glymph, L. M. and H. C. Storey. (1967)., Sediment--its Consequences<br />

and Control. Pub. 85. American Association Advancement<br />

of Science, Washington, D. C., pp. 205-220.<br />

Peeper, T. F. and J. B. Weber. (1974)., Vertical Fluometuron Movement<br />

in Runoff Studies of the Southern Region. Proc. So. Weed Sci.<br />

SOC., 27, 324-332.<br />

Resource Conservation Glossary., (1970) Soil Conservation Society of<br />

America, Ankeny, Iowa.<br />

Savage, K. E. (1975)., S-78 Regional Research Project--Movement and<br />

Persistence of Fluometuron in the South: I. Persistence and<br />

Vertical Movement in Soil. Proc. So. Weed Sci. SOC., 8,32<br />

(abstract)<br />

Sheets, T. J., J. R. Bradley, Jr., and M. D. Jackson. (1973).,<br />

Movement of Trifluralin in Surface Water. Proc. So. Weed<br />

Sci. SOC., 26, 376 (abstract).<br />

252


Suffling, R., D. W. Smith, and G. Sirons. (1974)., Lateral LOSS of<br />

Picloram and 2,4-D from a Forest Podzol During Rainstorms.<br />

Weed Res., 2, 301-304.<br />

Trichell, D. W., H. L. Morton, and M. G. Merkle. (1968)., Loss of<br />

Herbicides in Runoff Water. Weed Sci., 16, 447-449.<br />

Weber, J. B. (1972)., Interaction of Organic Pesticides with Particulate<br />

Matter in Aquatic and Soil Systems. In R. F. Gould (ed.) Fate<br />

of Organic Pesticides in the Aquatic Environment, Chapter 4,<br />

pp. 55-120, American Chemical Society, Washington, D. C.<br />

Weber, J. B. (1975)., Agricultural Chemicals and Their Importance<br />

as a Non-point Source of Water Pollution. Proc. S. E. Regional<br />

Conf. Non-Point Sources of Water Pollution, Virginia Polytechnic<br />

Institute and State University, May 1-2, 1975, pp. 115-129.<br />

Weber, J. 8. (1970)., Mechanisms of Adsorption of s-triazines by<br />

Clay Colloids and Factors Affecting Plant Availability. &<br />

F. A. Gunther (ed.) The Triazine Herbicides, pp. 93-130,<br />

Springer-Verlag, N. Y.<br />

Weber, J. B., Environmental Safety of Pesticides: The Old VS. the<br />

New. Submitted for publication in Environ. Sci. and Tech.,<br />

June, (1976).<br />

Weber, J. B. and S. B. Weed. (1974)., Effects of Soil on the Biological<br />

Activity of Pesticides. Chapter 10, pp. 223-256, W. P.<br />

Guenzi (ed.) Pesticides in Soil and Water, Soil Science Society<br />

of America, Inc., Madison, Wisconsin.<br />

Weber, J. B., S. B. Weed, and T. J. Sheets. (1972)., Pesticides: How<br />

They Move and React in the Soil. Crops and Soils Magazine, z,(l),<br />

14- 17.<br />

Weber, 3. B., T. J. Monaco, and A. D. Worsham. (1973)., What Happens<br />

to Herbicides in the Environment? Weeds Today,<br />

4,(1),16-17,22.<br />

Weed, S . B. and J. B. Weber. (1974)., Pesticide-Organic Matter Inter-<br />

actions, Chapter 3, pp. 39-66, W. D. Guenzi (ed.) Pesticides in<br />

Soil and Water, Soil Science Society of America, Inc., Madison,<br />

Wisconsin.<br />

White, A. W., A. P. Barnett, B. G. Wright, and J. H. Holladay. (1967)..<br />

Atrazine Losses from Fallow Land Caused by Runoff and Erosion.<br />

Environ. Sci. Tech., 1. 740-744.<br />

Wiese, A. F. (1975). S-78 Regional Research Project--Movement and<br />

Persistence of Fluometuron in the South: 11. Lateral Movement<br />

in Runoff Water. Proc. So. Weed Sci. SOC., 28, 322, (abstract).<br />

253


INTRODUCTION<br />

Geochemistry of SedimentlWater Interactions of Nutrients,<br />

Pesticides and Metals, Including Observations on Availability.<br />

Metals<br />

I. Jonasson<br />

A knowledge of an element's behaviour at a sediment-water interface<br />

is of prime concern in the development of an understanding of what may be the<br />

significant chemical controls on that element's dispersion and perhaps upon<br />

its fixation into sediments.<br />

Allied research on the transport of elements in solution as complexed<br />

species has received wide attention in the geochemical literature.<br />

Pitwell (1973) has concluded that the most common complexing ligands present<br />

in groundwaters are water itself, carbonate, chloride, fluoride and some<br />

organic acids. Taken to their extreme limits, processes by which metals are<br />

mobilized, transported, precipitated and remobilized are considered important<br />

steps in the formation of sedimentary sulphide orebodies. Saxby (1973) has<br />

suggested that on diagenesis, metal-organic complexes may eventually form<br />

concentrations of metallic sulphides.<br />

However, this discussion is concerned primarily with the nature of<br />

the dynamic interactions, mainly chemical, which affect the cycling of a<br />

given trace metal ion or its compounds through fluvial systems.<br />

Firstly it is necessary to deal with organic matter and its involvement<br />

in such interactions, and then with the influences of certain hydrous<br />

metal oxides. In nature, these might be regarded as two relatively pure<br />

systems representing end-members of a full spectrum of interactions in which<br />

practically any substance present can be regarded as a participant in dispersion<br />

processes.<br />

For example, organic matter predominates in the flat-lying terrain<br />

of the tree covered section of the Canadian Shield and Interior Lowlands.<br />

Streams are commonly fed by waters from swamps, marshes and muskeg. The<br />

residence time of waters within organic trash ensures considerable dissolution<br />

of humic materials. Silts and clays are often covered with finely<br />

divided organic matter. By contrast, stream sediments from the far north of<br />

Canada and from the alpine Cordilleran regions are generally clean of organic<br />

matter; waters derived mainly from snow melt contain very little dissolved<br />

organics and adsorption of metals directly into clays, rock flour and hydrous<br />

metal oxides and dissolution of mineral particles are the predominant watersediment<br />

interactions.<br />

TAL INTERACTIONS<br />

(a) Interactions Involving Organic Matter<br />

Within surficial waters the most significant form of metal-organic<br />

interaction is generally accepted to involve chelation of trace elements<br />

255


with the complex, polymeric organic compounds which comprise humic matter<br />

(Saxby 1969, Bowen, 1966). Experimental studies have shown that, in comparison<br />

with model organic compounds likely to find their way into natural<br />

waters, soluble humic matter has the greatest potential to form soluble,<br />

stable metal complexes in competition with hydrolytic and other precipitating<br />

reactions. Solid humic matter in a fluvial system exhibits exceptionally<br />

strong cation exchange properties thus concentrating trace metals from<br />

solution onto a solid phase of bed a sediment.<br />

The trace element distribution between sediment and natural water,<br />

and the chemical factors influencing this are of prime concern. The dominant<br />

interactions here are suggested to be cation hydrolysis, cation exchange<br />

reactions and related adsorption-desorption processes, as well as complex<br />

species formation involving both cations and anions.<br />

Of the organic species involved, humic acids, fulvic acids and<br />

humins are the most abundant. A major problem in studies on the nature of<br />

metal-complex speciation centres in the fact that all of the above compounds<br />

form part oE an extremely heterogeneous mixed polymer system where the<br />

differences between the sub-divisions are due to variations in elemental<br />

composition, acidity, degree of polymerization and range of molecular weights.<br />

Thus, humins comprise the highest molecular weight groups; highly polymerized<br />

and largely insoluble in aqueous solution. Humic acids are from the middle<br />

molecular size range, also very complex and, in part, soluble under certain<br />

conditions of acidity. Fulvic acids are likely the main transporters of<br />

metals in solution and comprise hydrophilic polyhydroxy aliphatic and aromatic<br />

acids. At the low molecular weight end of the range are the so-called yellow<br />

organic acids commonly observed in swamp waters or in stream waters of certain<br />

arid zones, particularly where considerable carbonate is present. These<br />

substances are probably also important in pore waters and interstitial waters<br />

of bed sediments representing as they do end members of humic matter degradation.<br />

Micro-organisms are, in part, responsible for the decomposition of<br />

the higher weight organic acids (Kuznetsov, 1975) producing the smaller more<br />

soluble fragments. Micro-organisms are also important in mobilizing certain<br />

metals from sediments by means of very specific biochemical interactions.<br />

These have been well discussed in the literature and will not be discussed<br />

further here (Wong et&., 1975 for Pb; Chau et&., 1976 for Se; Wood, 1974,<br />

1975 for Sn, Hg, As and Se).<br />

It should also be noted that humic and fulvic acids behave as<br />

negatively charged species in solution, due to the ionization of their acidic<br />

carboxyl and hydroxyl groups. Neutralization of this charge, perhaps by<br />

interacting metal ions, metal oxide colloids, or adsorption onto clay particles<br />

can lead to flocculation of the colloids and subsequently further<br />

coprecipitation of metals. Mechanisms by which metallic ions from natural<br />

waters are absorbed or complexed by such organic matter, have been discussed<br />

extensively by many authors (e.g. Krauskopf, 1955; Schnitzer and Khan, 1972;<br />

Curtis, 1966). The attractive interactions of ions with soluble, colloidal<br />

or particulate organic material range from weak forces leaving the ion easily<br />

replaceable (physical adsorption) to strong forces indistinguishable from<br />

chemical bonds and often not replaceable (i.e., chemisorption, or specific<br />

adsorption).<br />

The problems involved in studying metal-sediment-water interactions<br />

either in laboratory models or in the field are many. Several useful reaction<br />

schemes have been proposed as a basis for laboratory studies. That of Curtis<br />

(1966) is shown in Figure 1. According to Curtis' idealistic scheme, metal<br />

ions can show a positive correlation with organic carbon in a sediment when<br />

256


4* or M(H~o)~+<br />

Y<br />

y<br />

metal-organic<br />

compounds or ions<br />

adsorption of<br />

metal-organic<br />

material onto<br />

clay particles<br />

(he metal-C correlation)<br />

no interaction (no element4 correlation)<br />

CP: clay particles<br />

ORG: organic matter<br />

x organic matter and element<br />

competing for clay particles<br />

(-ve element - C correlation)<br />

Figure 1: Generalized metal-organic-solid reaction scheme as proposed by<br />

Curtis (1966).<br />

251


metal ions interact in solution with dissolved organic matter that is in<br />

turn concentrated by adsorption onto particulates such as clay minerals.<br />

Zero correlations may result when there is no solution phase interaction and<br />

the dissolved organic matter alone adsorbs onto the particulates. If there<br />

is competition between metal ions and dissolved organics for adsorption sites,<br />

then negative carbon-metal correlations are the result. Ong and Bisque<br />

(1968) and Ong 4. (1970) have refined the Curtis scheme to consider<br />

colloids as possible transporting agents of metal ions (Figure 2).<br />

The ability of solid humic matter to physically and chemically<br />

adsorb metals from aqueous solution has been well documented. For example,<br />

Rashid (1974) investigated metal adsorption onto sedimentary and peat humic<br />

acids. A solution containing equal amounts of Co, Cu, Mn, Ni and Zn ions was<br />

brought into contact with humic acid; Cu was preferentially adsorbed.<br />

Leaching with various agents showed that Cu was held far more firmly than the<br />

other metals. From these and similar experiments described in the literature,<br />

it has proved possible to indicate a probable order of binding strength for a<br />

*<br />

number of metal ions onto humic or fulvic acids, e.g., UOn > Hg* > Cu* ><br />

ft<br />

Pb* > Zn* > Nift > Co*. Ca* is considered to bind as strongly as Pb .<br />

Similar experiments by Rashid to adsorb base metals from seawater<br />

were not nearly so successful probably due to the very low contents of these<br />

metals in seawater and the dominating presence of alkali and alkaline earth<br />

cations, which although likely more weakly adsorbed are in much greater<br />

abundance when in competition for adsorption sites. This an is important<br />

parameter to be considered in all field studies of freshwater systems as<br />

well.<br />

The importance of relative binding strengths should not be overlooked,<br />

nor should the fact that the order of metal-organic matter stabilities<br />

will vary somewhat according to the nature and complexity of the organics and<br />

to conditions such as acidity and redox potential.<br />

Another major function of organic matter in water-sediment interactions<br />

concerns the ability of soluble organic acids to chemically leach and<br />

even dissolve minerals. Thus particulates trapped in organic-rich sediments,<br />

perhaps as a result of coprecipitation or surface adsorption, will slowly<br />

undergo a prolonged attack by sorbed fulvic or humic acids which can extract<br />

a variety of elements including metals. For example Baker (1973) found that<br />

humic acids rapidly decompose sulphides such as chalcopyrite, chalcocite,<br />

sphalerite, galena or pyrite and silicates such as clays, micas or chlorite<br />

and also metal oxides such as pyrolusite or geothite; the last being an<br />

observation of some relevance to stream systems. The carbonates calcite,<br />

dolomite and malachite are also vulnerable to dissolution by humic acids. On<br />

the other hand, Sequi &. (1976) have reported that the alkali solubility<br />

of soil organic matter, common in stream sediments, is greatly dependent on<br />

the nature of metal ions present in the stream.<br />

Therefore interactions among metal ions, minerals, organic<br />

sediments and water seem to be mutually destructive of all solid species.<br />

The ultimate result of the breakdown of a mineral or metal-sediment complex<br />

by organic acids must be to promote the remobilization of that metal ion<br />

until the adsorption, flocculation, polymerization, precipitation cycle takes<br />

it out of solution once again.


Organic acids<br />

(hydrophilic,<br />

negatively charged<br />

colloids)<br />

+ M+<br />

Metal-humates Physical<br />

(precipitates) aspect<br />

predominates<br />

M+<br />

(neutral colloids) *-.<br />

Chemical Metal-organic<br />

aspect<br />

complexes<br />

predominates (hydrophilic + M'<br />

colloids)<br />

Metal-organic complexes<br />

(hydrophobic colloids)<br />

Figure 2: Metal-organic interaction scheme as proposed by Ong etas. (1970).<br />

259


Organic matter is also capable of acting as a reducing agent. In<br />

this way ferrous ion can be stabilized in oxygenated solution by complexation<br />

with certain organic acids (Theis and Singer, 1973) such as tannic or gallic,<br />

as well as by naturally occurring humic acid compounds (Rashid and Leonard,<br />

ft<br />

1973). It is possible that other metal ions such UO;? as , or oxy-anions of<br />

no, V or As could also be stabilized in solution in a lower oxidation state<br />

when complexed by humic matter; but there does not yet appear to be general<br />

agreement on this (Bloomfield and Kelso, 1973). However, the solubilization<br />

of hydrous Fe and Mn oxides attributed to a reduction process following<br />

complexation by fulvic acids (Zajicek and Pojasek, 1976); (Koshy g &.,<br />

1967). The fate of metal ions whose dispersion in stream sediments is<br />

controlled by adsorption and desorption from Fe Mn and oxide surfaces is<br />

therefore strongly influenced by the operation of such reduction processes<br />

with humic matter.<br />

One very specific example of how metal mobilization can be directly<br />

effected by humic acid reduction concerns the production of Hgo from mercuric<br />

-4-k +t<br />

(Hg ) ion (Alberts &. , 1974). By this means, Hg , which is normally<br />

considered to be very strongly bound to humic matter and not easily displaced<br />

by other metal ions (Strohal and Huljev, 1970), is freed from its ligand upon<br />

reduction to elemental Hg which in turn is held by weak absorptive forces<br />

only. In this way it can easily pass back into solution from reducing sed-<br />

iment s .<br />

The influence of sulphide has not been considered to date. A<br />

number of authors have conducted laboratory tests to investigate competition<br />

between organic ligands and sulphide ion for dissolved metal ions. Timperley<br />

and Allan (1974) attempted to determine the forms of binding of Cu, Fe and Zn<br />

in organic-rich reducing muds. One of the main conclusions drawn was that Cu<br />

was held mainly by sulphide precipitation, whereas organic complexing was<br />

more important for Zn and Fe. Their work suggests that there may be some<br />

value in using the solubility data for simple metal sulphides as a basis for<br />

predicting metal-sediment interaction behaviour in such sediments. For<br />

example, Cd might behave like Zn but As and Hg might be largely fixed as<br />

sulphide or organic-sulphide complexes or adducts.<br />

In this context, the work of Boulegue and Michard (1974) is relevant.<br />

They noted that inorganic sulphur is present in sediments as polymeric hydrosulphides<br />

which are good complexing agents in their own right. They also can<br />

act as both redox and acidity buffers. Interactions between these and metal<br />

ions would be expected to be strong.<br />

One of the major problems in studying water-sediment interactions<br />

relates to a dearth of information on the nature of metal-ligand speciation.<br />

However, some powerful analytical tools have come into use recently whereby<br />

metal ion speciation in natural waters now can be studied.<br />

Anodic stripping voltametry (e.g. Zirino and Healy, 1972) can be<br />

used to demonstrate the importance of complexation reactions and perhaps to<br />

measure the apparent stability constants for strong complexes formed between<br />

metal ions dissolved in lake (Chau &., 1974) and river waters (Ramamoorthy<br />

and Kushner, 1975). But as Langford and Gamble (1974) have pointed out, this<br />

application is limited to relatively "non-labile" complexes with large organic<br />

ligands (e.g., fulvic acids). They suggest that a study of the kinetics of<br />

formation of such complex species would be informative in that kinetic<br />

260


mechanisms of reaction can help to predict solution equilibria. Faster reactions<br />

involving the formation of kinetically more labile complexes could be studied<br />

by means of techniques such as stopped-flow spectroscopy.<br />

By using anodic stripping voltammetry or pulse polarography or<br />

electrophoresis methods in combination with other experimental techniques,<br />

considerable data on elemental speciation could be gathered (Raspov &.,<br />

1975). Bilinski gal. (1976) have measured stability constants for some<br />

hydroxo- and carbonato-complexes of Pb (IT), Cu (II), Cd (II), and Zn (11);<br />

important species in most surficial waters and certainly in groundwaters.<br />

Benes and Steinnes (1974) have described in situ dialysis experiments which<br />

permit determination of truly dissolved and colloidal forms of trace elements<br />

in natural waters. The more such research which can be done on site, the<br />

better.<br />

Field studies on the effects that interactions between trace metals<br />

and organic matter have on dispersion processes are not commonly encountered.<br />

Dc (:root (1971) and de Groot 1. (1971) have published extensive data on<br />

the Rhine River system. The Rhine has been subjected to industrial pollution<br />

and as a consequence, the reported Hg, Zn, Cr, Pb, Cu and As levels of the<br />

fluvial sediments were high. But downstream from the freshwater tidal area,<br />

a pronounced remobilization of these elements into solution was observed.<br />

It was considered that the change in chemical conditions, e.g., oxygenation<br />

and increased salinity, prompted intensive decomposition of the sediment<br />

organic materials which were retaining these metals. From this de Groot<br />

concluded that the formation of soluble metal-organic complexes was mobilizing<br />

the pollutant metals from the sediments. It is interesting to observe in de<br />

GrooL's data that the order of remobilization oE the metals, Hg > Cu > Zn ><br />

Pb Cr > As > Co > Fe, is roughly the reverse of the solubilities of simple<br />

sulphides. Therefore it seems likely that the greater complexing affinities<br />

of e.g., Hg (IT) and Cu (11) towards soluble organic matter are more important<br />

kinetically than their sulphide solubilities. It has also been suggested that<br />

dilution by incoming sediments carried by ocean tides is partly responsible<br />

for the apparent mobilization effects. This may be true, but does not account<br />

for the observed sequence of elemental mobilization.<br />

The release of heavy metals from river bottom sediments has been<br />

studied in the laboratory mainly with the use of radioisotopes. For example,<br />

Co-60 has been used in the Danube River (Radosavjevric &., 1973); Mn-54,<br />

211-65, Sc-46, Co-60 and Hg-203 have been used in the Columbia River, (Lenaers,<br />

1971; Bothner and Carpenter, 1973).<br />

One of the more interesting studies of metal-sediment interactions<br />

in stream systems is described by Jackson (1975). He designed model laboratory<br />

experiments over a pH range to 4 9 to simulate interactions in the system:<br />

dissolved metal ion-clay -dissolved natural organic acids. The objective was<br />

to compare results with data from field studies within carefully selected<br />

stream systems. Interferences due to the presence of dissolved carbonate<br />

were also observed. The ability of soil-derived humic and fulvic acids to<br />

desorb metal previously adsorbed on clay and also metal from metal hydroxide<br />

precipitates, was investigated. Cu (11), Pb (II), Zn (11) and Ni (11) cations<br />

were chosen for study.<br />

261


Results indicated that Cu was strongly stabilized in solution, but<br />

W,IS the most kinetically hindered in desorption reactions. Pb was least<br />

retained in solution by organic complexing but was effectively removed by<br />

inducing colloidal coagulation of organic matter. The solubilities of Zn and<br />

Ni were enhanced by organic complexing but were found to be pH dependent with<br />

hydrolysis leading to decreased solubilities. Furthermore, Ni solubility was<br />

also dccreased by carbonate precipitation.<br />

Jackson, (1975) also embarked upon a field study of selected streams<br />

in which similar processes were thought to prevail. Predicted behaviour was<br />

compared with observed hehaviour. He found that the natural dispersion of Pb<br />

and Fe seemed to be favoured by organic complexing. Cu dispersion was strongly<br />

governed by sorption to organic-rich sediments. The hehaviour of Ni was<br />

strongly controlled by interference, reactions - viz., with carbonate and<br />

llydroxide at alkaline pH. The model reaction scheme was found to be inadequate<br />

for Zn. .Jackson suggested that these laboratory experiments be continued<br />

with solid organic phases included in the scheme.<br />

b) 1-nteractions Involving HydrousLetal Oxides<br />

Fe and Mn oxides are certainly important species in organic systems<br />

but their role as direct adsorbers of metal ions is overshadowed by competition<br />

from the more reactive humic acids and organo-clays or obscured by<br />

coatings uf u~gduie matter. Moreover, these oxides are unstable in certain<br />

organic-rich sediments, particularly if at all reducing. However, in fluvial<br />

systems, such as those found in the Canadian sub-arctic or in alpine regions,<br />

the role of organic matter in water-sediment interactions is relatively<br />

unimportant compared with the influences of hydrous Fe and Mn oxides. The<br />

same situation may also be true of more rugged regions of the Canadian Shield.<br />

Quite a number of studies have been made on the functions of these<br />

oxides in fluvial systems (e.g., Perhac, 1972; Crasselly and Hetenyi, 1971).<br />

ft<br />

The relevant chemistry of Mn , in aqueous solution has also been described<br />

(Handa, 1969; Benes, 1967). For example it has been shown that the oxides<br />

U<br />

strongly adsorb ions such as Hg , (Lockwood and Chen, 1973; 1974) and Co*,<br />

H<br />

Ni* and Zn (McKenzie, 1972). The behaviour of Mn* in water and speciation<br />

between pH 2-8 has been documented by Angino &. (1971). Most common<br />

species are Mn(@H):, ElnC!!; XI! prcdomizantly, Mn(H20) g* ion. Micro-organisms<br />

*<br />

are capable of oxidizing Mn to Mn (IV) in natural waters (Schweisfurth,<br />

1972).<br />

Sylva (1972) has summarized the hydrolysis chemistry of Fe (111)<br />

along with its polymerization reactions in which colloids and sols are formed.<br />

The formation of polynuclear species of Fe and Mn oxides is likely a very<br />

important process in the remobilization of Fe (11) and Mn (11) from reduced<br />

sediments. Such colloidal species are quite reactive towards trace metal<br />

ions.<br />

To illustrate the dominant role Fe and Mn oxides can have in certain<br />

fluvial systems some studies of arctic drainage by Cameron and co-workers<br />

(Cameron, 1974; Allan al., 1974; Cameron and Ballantyne, 1975) can be<br />

summarized.<br />

262


The drainage in the barren grounds of the Hackett River area of the<br />

N.W.T. resembles, at first sight, a lake system rather than fluvial-type<br />

drainage, However chains of lakes are connected by overflow streams in<br />

spring and early summer during which time most metal dispersion takes places.<br />

Because of the virtual absence of dissolved organic matter in waters and of<br />

colloidal or dispersed suspensions of humic material, these watersheds can<br />

be regarded as inorganic systems in which chemical processes follow predictable<br />

paths described by pH, metal ion hydrolysis and simple complex ion formation.<br />

For example, the stgble forms of Cu in these waters of near-neutral pH are<br />

expected to be CuOH , CuCO3' and [Cu(C03)~]-. In fact, in certain lakes<br />

where Cu is quite abundant in surrounding rocks, the carbonate malachite<br />

precipitates onto the bed sediments. The water bodies are found to be in<br />

near equilibrium with these precipitates when Cu, OH- and CO1- are determined<br />

in the lake waters. Under the same conditions, Zn is likely present in the<br />

+<br />

waters as ZnOH and [Zn(H,O)6]* ions.<br />

Two watersheds supplied by metal ions from similar buried volanogenic<br />

Cu-Zn sulphide mineralization can be compared. The first situation,<br />

at Hackett River, N.W.T. demonstrates the degree of dispersion of Zn and Cu<br />

when waters near the source of the metal ions retain a pH in excess of 7.<br />

This was found (Cameron and Ballantyne, 1975) to be due to the presence in<br />

the catchment of considerable exposures of carbonate-enriched (limy) volcanic<br />

rocks. Inspection of Figure 3 reveals that dispersion of Zn from the East<br />

Cleaver zone falls off rapidly over a distance of about 6 miles. Cu is lost<br />

from solution far more rapidly, reaching its natural background levels (for<br />

this region) of 1 ppb after about 3 miles dispersion. Dissolved Fe or Mn<br />

was generally less than 5 ppb, even at source. The second situation, at<br />

Agricola Lake, N.W.T., is virtually identical to the Hackett River watershed<br />

except that the underlying volcanic rocks are devoid of carbonate<br />

minerals. The effects on pH are immediately apparent (Figure 4) at source,<br />

pH is commonly between 3 and 4 with Fe reaching 800 ppb and Mn reaching 90<br />

ppb. As well dissolved Zn falls from about 1000 ppb to about 2 ppb over 5<br />

miles. Figure 4 also displays the change in pH down-drainage.<br />

The work of Jenne, (1968) has shown that the main controls on Cu<br />

and Zn dispersion relate to their fixation in hydrous Fe and Mn oxides<br />

coatings or precipitates. Cameron and co-workers observed that when Fe and<br />

Mn were initially present at very low levels in the alkaline lake waters of<br />

the Hackett River area near source, due to the presence of limy rocks restricting<br />

mobility of those ions, the dispersion of soluble Zn and Cu through chains<br />

of lakes was more extensive. This is attributed to the absence of an oxide<br />

scavenger coprecipitating trace metals down-drainage. Thus dispersion can<br />

be said to be enhanced in spite of the intially high water pH.<br />

By contrast, in the Agricola Lake watershed where there is<br />

little limy material to suppress acidity, initially high<br />

accompanied into solution by initially high dissolved<br />

hydrolysis of these ions resulted in the coprecipitation<br />

Zn and Cu were<br />

Fe and Mn. Rapid<br />

of Cu and Zn (and<br />

As, Figure 5) into lake sediments as the pH increased with dilution.<br />

Therefore dispersion was found to be much more limited than in the Hackett<br />

River situation in spite of the initially high concentrations of Cu and Zn<br />

and the very low water pH. Figure 4 also indicates that Zn begins to<br />

appear in lake sediments when the pH exceeds 4.5, about 2 miles down-drainage,<br />

i.e., when Fe and Mn oxides are forming as suspensions. Further transport<br />

of Zn is probably in particulate form.<br />

263


Figure 3. Distribution of zinc and copper in ppb, and pH in lake waters<br />

from the Hackett River area, N.W.T.<br />

(after Cameron & Rallantvne. 1975)


265


1<br />

N<br />

0<br />

N<br />

- Zn (log pprnl ~n sediments<br />

0<br />

I<br />

R


ORGANIC-INORGANIC INTERACTIONS<br />

It is clear that the presence of organic matter in these systems<br />

would have several predictable effects. Complexation of metal ions would<br />

inhibit hydrolysis of Fe and Mn, redissolve oxide precipitates, and restrict<br />

the coprecipitation of Cu and Zn. Humic matter is also an efficient acidity<br />

buffer, therefore it is likely that high acidity as observed in the Agricola<br />

Lake area would be suppressed at the source and much more localized. What is<br />

less predictable are the scavenging effects colloidal organic matter would<br />

have on free metal ions, complexed metal ions and on the interactions<br />

between all of these species and bottom sediments.<br />

LITEXATURE CITED<br />

Alberts, J. J., Schindler, J. E., Miller, R. W. and Nutter, D. E.,<br />

(1974), Elemental Mercury Evolution Mediated by Humic Acid.<br />

Science, 184, (4139), 879-898.<br />

Allan, R. J., Cameron, E. M., and Jonasson, I. R.,<br />

(1974), Mercury and Arsenic Levels in Lake Sediments From the<br />

Canadian Shield. In "Primero Congreso Internacional de<br />

Mercurio" Barcelona, Tom 11, Publ. (1975), Fab. Nac. Moneda<br />

y Timbre, Madrid, pp. 93-119.<br />

Angino, E. E., Hathways, L. R., Worman, T.,<br />

(1971), Identification of Manganese in Water Solutions by<br />

Electron Spin Resonance, Adv. Chem. Ser., No. 106,<br />

299-308.<br />

Baker, W. E.,<br />

(1973), The Role of Humic Acids From Tasmanian Podzolic Soils in<br />

Mineral Degradation and Metal Mobilization, Geochem. Cosmochim.<br />

Acta, 21, 269-281.<br />

Benes, P. and Steinnes, E.,<br />

(1974), In Situ Dialysis for the Determination of the State of<br />

Trace Elements in Natural Waters, Water Research, 8, 947-<br />

953.<br />

Benes, P.,<br />

(1967), On the State of Manganese and Gold Traces in Aqueous<br />

Solution, J. Inorg. Nucl. Chem., 29, 2889-2898.<br />

Bilinski, H. Huston, R. and Stumm, W.,<br />

(1976), Determination of the Stability Constants of Some Hydroxo<br />

and Carbonato Complexes of Pb (II), Cu (II), Cd (11) and Zn (11)<br />

in Dilute Solutions by Anodic Stripping Voltammetry and<br />

Differential Pulse Polarography, Analyt. Chim. Acta, $,(I),<br />

157.<br />

Bloomfield, C., and Kelso, W. I.,<br />

(1973), The Mobilization and Fixation of Mo, V and U by Decomposing<br />

Plant Matter, J. Soil. Sci., g, 368-379.<br />

261


Ik~tI~n~~r, FI. 11. .mi (:,lrpentc-r, K.,<br />

(1')73), Sc,rllt ion-llr~sorption Keartions of Mercury with Suspended<br />

blntter in tlw Columbia Kiver. Itadioact. Contam. Marine Environ.,<br />

l'roc. Svml~., pp. 73-87.<br />

l~oulep,tle, J., and Nichard, (:. ,<br />

(19741, Intcxractions Between Sulphur-Polysulphide System and<br />

Organic Material in Reducing Media, C. R. Acad. Sci., Ser.<br />

I). 279, (l), 13-15.<br />

Uowen, 11. .I. M.,<br />

(1966), Trace Elements in Biochemistry, Academic Press, London.<br />

HoyLt,, I


Groot, A. J. de, Goeij, J. J. M. de and Zegers, C.,<br />

(1971), Contents and Behaviour of Mercury as Compared With Other<br />

Heavy Metals in Sediments from the Rivers Rhine and Ems., Geol.<br />

Mijnbouw, <strong>50</strong>, 393-398.<br />

Handa, B. K. ,<br />

(1969), Chemistry of Manganese in Natural Waters, Chem. Geol.,<br />

- 5, 161-165.<br />

Jackson, K. S.,<br />

(1975), Geochemical Dispersion of Elements Via Organic Complexing,<br />

Unpubl. Thesis, Carleton Univ., Ottawa, Canada, 344 pp.<br />

Jenne, E. A.,<br />

(1968), Controls on Mn, Fe, Co, Ni, Cu and Zn Concentrations in<br />

Soils and Waters: The Significant Role of Hydrous Fe and Mn<br />

Oxides. In “Trace Inorganics in Water”, Adv. Chem. Ser., No. 73.,<br />

Amer. Chem. Soc., 337-387.<br />

Koshy, E., Desai, M. V. M. and Ganguly, A. K.,<br />

(1967), Studies on Organo-Metallic Interactions in the Marine<br />

Environment. I. Interaction of Some Metallic Ions with<br />

Dissolved Organic Substances in Seawater, Curr. Sci., 2,<br />

555.<br />

Krauskopf, K. B.,<br />

(1955), Sedimentary Deposits of Rare Metals, Econ. Geol.,<br />

<strong>50</strong>th Anniv. Vol., 411-463.<br />

Kusnetsov, S. I.,<br />

(1975), Role of Micro-Organisms in the Formation of Lake Bottom<br />

Deposits and Their Diagenesis, Soil Sci., =(I), 81-88.<br />

Langford, C. H. and Gamble, D. S.,<br />

(1974), Dynamics of Interaction of Cations and Fulvic Acids, Proc.<br />

Int. Conf. Transport of Persistent Chemicals in Aquatic Ecosystems,<br />

Publ. 1974 N.R.C. Ottawa, 11, 37-39.<br />

Lenaers, W. M.,<br />

(1971), Photochemical Degradation of Sediment Organic Matter.<br />

Effect on Zn-65 release. Report (1971) RLO-2227-T-12-32 64 pp.<br />

Nucl. Sci. Abstr., %,(20), (1972), No. 48038.<br />

Lockwood, R. A. and Chen, K. Y.,<br />

(1973), Adsorption of Hg (11) by Hydrous Manganese Oxides,<br />

Environ. Sci., Technol., 1, (IT), 1028-1034.<br />

Lockwood, R. A., and Chen, K. Y.,<br />

(1974), Adsorption of Hg (11) by Ferric Hydroxide, Environ.<br />

Letts., 4, (3), 151-166.<br />

McKenzie, R. M.,<br />

(1972), Sorption of Some Heavy Metals by the Lower Oxides of<br />

Manganese, Geoderma, g,(l), 29-35.<br />

Ong, H. L. and Bisque, R. E.,<br />

(1968), Coagulation of Humic Colloids by Metal Ions, Soil. Sci.,<br />

106, 220-224.<br />

269


Ong, fl. L., Swanson, V. E., and Bisque, R. E.,<br />

(.L970), Natural Organic Acids as Agents of Chemical Weathering,<br />

U.S. Geol. Surv., Prof. Paper 700-C, pp. 130-137.<br />

Perhac, R. M.,<br />

(19721, Distribution of Cd, Co, Cu, Fe, Mn, Ni, Pb and Zn in<br />

Dissolved and Particulate Solids From Two Streams in Tennessee,<br />

.I. Hydrol., 15, 177-186.<br />

Pitwell, I,. R.,<br />

(1973), Some Coordination Effects in Orebody Formation,<br />

Chrm. Geol., 12, 39-49.<br />

Radosavl.jevic, R., Tasovac, T., Draskovic, R., Zaric, M. and<br />

Markovic, V.<br />

(1973), Complex Behaviour of Cobalt in the Danube River,<br />

Arch. Hydrobiol., Suppl., 43,(2), 241-248.<br />

Knmamoc~rthy, S. and Kushner, I). .J.,<br />

(19751, Heavy Metal Binding Sites in River Water, Nature,<br />

(London), 255, (5516), 399-401.<br />

kashld, M. A. and Leonard, J. D.,<br />

(19731, Modifications of the Solubility and Precipitation Behaviour<br />

of Various Metals as a Result of Their Interactions With Sedimentary<br />

Humic Acid., Chem. Geol., ll, 89-97.<br />

Rashid, M. A.,<br />

(1974), Adsorption of Metals on Sedimentary and Peat Humic Acids,<br />

Chem. Geol., 12, 115-123.<br />

Raspov, B., Valenta, P. and Nurnberg, H. W.,<br />

(1975), The Formation of Cd(I1) - NTA Complex in Seawater,<br />

Int., Conf., Heavy Metals in the Environment, Toronto (1975),<br />

Abstr. NO. D-5.<br />

Saxby, J. D.,<br />

(1969), Metal-Organic Chemistry of the Geochemical Cycle, Rev.<br />

Pure. Appl. Cilrlu., &, i31-1<strong>50</strong>.<br />

Saxby, .J. D.,<br />

(1973), Diagenesis of Metal-Organic Complexes in Sediments:<br />

Formation of Metal Sulphides From Cysteine Complexes, Chem.<br />

Geol., 12, 241-288.<br />

Schnitzer, M. and Khan, S. U.,<br />

(1972), Humic Substances in the Environment, Marcel Dekker Inc.,<br />

New York, N.Y.<br />

Schweisfurth, R.,<br />

(1972), Manganese Oxidizing Micro-Organisms in Drinking Water<br />

Supply Sytems, Gas - Wasserfach, Wasser - Abwasser, u,(l2),<br />

562-572.<br />

Sequi, P., Guidi, C. and Petruzzelli, G.,<br />

(1976), Influence of Metals on Solubility of Soil Organic Matter,<br />

(koderma, 12, (3), 153-162.<br />

2 70


Strohal, P. and Huljev, D.,<br />

(1970), Mercury Pollutant Interaction With Humic Acids by Means<br />

of Radioisotopes, Nucl. Techniques Environ. Pollut., Proc.<br />

Symp., I'ubl. I.A.E.A. Vienna, (1971), 439-446.<br />

Sylva, K. N.,<br />

(1972), The Hydrolysis<br />

22, 115-132.<br />

of Iron (III), Rev. Pure. and Appl. (:hem.,<br />

~~<br />

'Theis, T. L. and Singer, P. C.,<br />

(1973). The Stabilization of Ferrous Lon by Organic Cornpomds<br />

in Natural Waters. In "Trace Metals and Metal-Organic 1ntcrac:tions<br />

in Natural WaLers", ed. Singer, P.C., Ann Arbor Publ., Inc.,<br />

Mich., 703-320.<br />

Timp


EidDVEi 8<br />

IMPLICATIONS FOR<br />

THE MEAT MKES


INTRODUCTION<br />

J. R. Vullentyne<br />

Here are the three questions posed by the Governments of the United<br />

States and Canada to the <strong>International</strong> <strong>Joint</strong> <strong>Commission</strong> in the Reference on<br />

Pollution from Land Use Activities:<br />

(1) Are the boundary waters of the Great Lakes System being<br />

polluted by land drainage (including ground and surface<br />

runoff and sediments) from agriculture, forestry, urban<br />

and industrial land development, recrcational and park<br />

land development, utility and transportation systems and<br />

natural sources?<br />

(21 If the answer to the foregoing question is in the affirm-<br />

ative, to what extent, bll what causes, and in what<br />

Ldcalities is the pollution taking place?<br />

(3) If the Comission should find that pollution of the<br />

character just referred to is taking place, what<br />

remedial measures would, in its judgement, be most<br />

practicable and what would be the probable cost thereof?<br />

Dr. D. R. Bouldin commented this morning that if this Workshop, which<br />

has been arranged to help answer these questions, had been held three ago years<br />

when PLUARG was just beginning its work, there would have been to nothing talk<br />

about: the relevant information was not on hand. 1 think he is right. But<br />

even with the new data, talents and personalities that have been brought to<br />

bear on the problem within PLUARG and in this Workshop, the issues still remain<br />

complex and resistant to quantitative interpretation.<br />

This complexity worries me. I see it as a persistent threat to<br />

the defendability of proposed remedial measures requested in Question 3 of the<br />

Reference. If a remedial measure is not defendable it will not be accepted<br />

by the <strong>Commission</strong>, by the two Governments, or by the affected people and<br />

organizations in the two countries. The most important component of any<br />

strategy for action is therefore a strategy for defence. For this reason,<br />

the order of attention given by PLUARG is answering the three questions should<br />

be the reverse of the order in which they were posed.<br />

From information presented at this Workshop is it apparent that the<br />

most important factors contributing to the complexity of the problems are:<br />

(1) the virtual impossibility of tracing the sources and<br />

ultimate fates of pollutants once they have entered<br />

into stream transport;<br />

275


(2) the variety and large number of independent sources<br />

requiring separate control;<br />

(3) the variability of climatic factors affecting land runoff,<br />

their low frequency and unpredictability in time;<br />

(4) local variations of soil and topographic factors affecting<br />

runoff ;<br />

(5) persistent questions concerning the availability to plants,<br />

or toxicity in the environment of chemicals in different<br />

phases or forms.<br />

It will not he easy for PIJJARG, for the <strong>Commission</strong> or for regulatory<br />

agencies in Canada and the United States to formulate and defend remedial<br />

measures perhining to a large number of control points whose effects are<br />

not easily traceable to boundary waters. Because of this complexity it will<br />

he impnrtant to stress two aspects of defensive strategy in the technical report<br />

LO the <strong>Commission</strong>.<br />

I, ACCENT TE LONG TERM<br />

As the time base lengthens the rate of delivery of persistent<br />

pollutants to boundary waters increases. Al.so, it must he stressed to the<br />

<strong>Commission</strong> that pollution of boundary waters arising from Land use activities<br />

is not going to be solved or even quantitatively understood overnight. The<br />

need lor changes in human attitudes and hehavioural practices in regard to<br />

land use activities suggests that it may be optimistic to think in terms of<br />

Etfrcting solutions in less than a generation's time. I hope that PLIIARG will<br />

mnkc reference to the need for controliing the rate of growth of human population<br />

and technology in the Great Lakes i3asin; it is already controlling<br />

us, as individuals, to an extent we do not realize. I believe that the<br />

<strong>Commission</strong>, the two governments and the people and organizations involved<br />

wi1.l understand the accent on Lhe long term if it is properly presented. Hut<br />

this accent should not he used as an excuse for inaction or delay.<br />

War is not an appropriate analogy in the present context; nevertheless,<br />

a quote from E. Machell-Cox's translation of Sun Tzu's, "The Principles<br />

of War," written 2300 years ago, is not out of place:<br />

"Once hostilities have begun, if victory he long deferred,<br />

weapons will grow blunt and ardour dampened; if the army<br />

attack a city, it will exhaust its strength; if it he !ong<br />

in the field, state supplies will be insufficient. Now,<br />

when weapons are blunted, ardour dampened, strength exhausted<br />

and treasure gone, the other princes will rise and take<br />

advantage of your extremity and, though you were a very Sage,<br />

you should not then remedy the consequences. So it is that<br />

chough you shall hear of stupid haste in war yet you shall<br />

IicBvc'r liear tllat long campaigns are clever. There has never<br />

x'c't heen a country that has benr€ited by a long war."<br />

276


11. AVOID GENERALITIES 1 .<br />

AT bCE<br />

1 THE ~ ~ PLAGUE: Do NOT TRY TO SOLVE EVERYTHING<br />

Certain land use activities are more likely tc, affect boundary<br />

waters than others; for example, those in close proximity to boundary waters.<br />

Because of their small size, large surface area and charge, fine-grained<br />

particles are likely to be more important that coarse-grained particles in<br />

transporting pollutants from distant sites to boundary waters. Steep slopes<br />

are likely to be more susceptible to erosion than flat land with porous<br />

soils. Let there bt- an heirarchy of priorities in space and time. Over-<br />

generalization will only antagonize those whose cases do not easily fit into<br />

the general scheme; and the loss of their support will only weaken the cause.<br />

In this context it is worth re-emphasizing the importance of a defensive<br />

strategy to PLUARG with another quote from E. Machell-Cox's translation of<br />

Sun Tzu's, "The Principles of War."<br />

"Just as it is no great sign of strength to lift an<br />

autumn hair, of keen sight to see the sun and moon, or of<br />

sharp hearing to hear thunder, so if the basis of your<br />

victory is apparent and within the understanding of the common<br />

herd, it is not of the highest excellence; nor is it of the<br />

highest excellence if you win a pitched battle and all the world<br />

cry "Ha!" What the ancients called a clever fighter was a man<br />

who won, and won easy victories, which brought neither a name<br />

for wisdom nor credit for courage. His victories came of<br />

making no mistakes; by making no mistakes he had ensured<br />

victory, and needed but to defeat an enemy already overcome.<br />

lhe skillful warrior is one who puts himself in a position such<br />

that he cannot he defeated, and does not then lose the occasion<br />

of defeating the enemy. The victorious army first secures its<br />

victory and then gives battle; the vanquished first engages<br />

and then seeks to securc victory."<br />

!7 1


INTRODUCTION<br />

G. H. Dury<br />

It would be redundant for me to attempt to summarize, or to review,<br />

the Workshop contributions on physical processes. Those attending have been<br />

supplied with abstracts and with papers, have listened to the papers presented<br />

and to the question-and-answer sessions, have laboured with the various work<br />

groups, and have contributed to the recommendations which the work groups<br />

will be making. Readers of the final document will be presented with extended<br />

abstracts of papers, and with the recommendations that emerge from the Workshop<br />

as a whole. Rather than attempting to review, or to repeat, what is said<br />

elsewhere, I propose in these comments to sound certain general themes, to<br />

suggest a possible means of economizing on environmental monitoring, and to<br />

draw attention to some possible dangers and difficulties in attempting to<br />

forecast for the future.<br />

W~RKSKIP ACTIVITIES AND ATTITUDES<br />

Like any good conference, this Workshop has led to the informal<br />

exchange of knowledge and acquaintance. It has also led to, or at least disclosed<br />

the possibilities of, the interfacing of programs-- programs of research,<br />

management, and regulation.<br />

It has also revealed a broad range of viewpoints, particularly<br />

perhaps among those interested mainly in physical processes. At the one<br />

extreme comes the urgent need for practical action, in containing, reducing,<br />

or even eliminating the discharge of sediments, nutrients, and contaminants<br />

into the Great Lakes. At the other extreme comes the desire for long term<br />

basic research, especially research into processes of erosion, transportation,<br />

and discharge or sedimentation. The two corresponding extreme attitudes are<br />

that of eliminating process studies altogether, in favour of implementing<br />

immediate control measures, and that of considering control impossible, until<br />

sources of input are identified and the processes of input are completely<br />

understood.<br />

Somewhat related matters are the high variability of observational<br />

data, and the difficulty of extrapolating to large natural basins the results<br />

obtained from small basins or from trial plots. Although it may very well<br />

prove necessary to do whatever is possible with the data already available,<br />

divergent views on what actually is possible were reflected at the Workshop<br />

in differing opinions on the potential of computer modelling. On the one<br />

hand, soil loss equations can be run through a number of existing computer<br />

programs. On the other hand, some researchers consider that the results<br />

predicted by computer need careful reappraisal against what happens in the<br />

real world. In addition, prediction of soil loss, however accurate, may by<br />

no means foretell what actually will be moved out cf the basin.<br />

279


BAS I 14 STORAG~<br />

'I'ht, rrsidcBnce tinw Cor nutrients and contaminants seems to he<br />

rr~~,isorl,~lllv wc.1 I ~11~11c~rst11m1, in tc3rms of water cllemistry, soil rllemistry,<br />

II~(J( llc,nlistrv, .lnd til


A possible means of economy resides in surrogate observations.<br />

For instance, it can readily be shown that, for the Hurricane Agnes floods in<br />

New York and Pennsylvania in 1972, the total delivery of water and the total<br />

delivery of suspended sediment in a given flood wave can be expressed as a<br />

power function of momentary peak discharge (Dury, press). in This statement<br />

holds, through a range of recurrence intervals from less than 2 to more than<br />

100 years (annual series), and through a range of drainage areas from less<br />

than 1.0 to 16,700 km’. Nearly 97 percent of variation in delivery of suspended<br />

sediment is statistically explained by variation in momentary peak<br />

discharge. This latter variable, once a rating curve has been established,<br />

ran be simply and cheaply recorded by a crest-stage gauge. Once a sediment<br />

rating curve has been established, momentary peak flows of water can be used<br />

to give sediment discharge. Methods of this kind are especially attractive,<br />

since many rivers discharge a very large fraction of total sediment in only a<br />

few days of high flow.<br />

Sundry contributions to the Workshop suggest that, for some streams<br />

at least, discharge of certain nutrients and contaminants can be expressed as<br />

funrtions of discharge of suspended sediment. Phosphorus, nitrogen, carbon,<br />

and pesticides were specifically mentioned. Wherever a firm relationship can<br />

be established between discharge of nutrients/contaminants and discharge of<br />

suspended sediment, and another between discharge of suspended sediment and<br />

discharge of water, then the peak flow/flood wave relationship can be used<br />

to measure total delivery in a particular event of sediment, nutrients, and<br />

contaminants.<br />

SPAT I AL VARIATION<br />

Just as response to sediment input can differ from one part of a<br />

basin to another (*, between upstream and downstream reaches, so variation<br />

is to be expected between one basin and another, and between one region and<br />

another. If surrogate methods of monitoring are to be developed for the<br />

Great 1.akes rivers, possible regional variation needs to he investigated. If<br />

such variation dues occur, then sample streams for the individual regions<br />

could be observed, as against observing all streams throughout the system.<br />

Basin size is likely to prove an additional, and perhaps an influential,<br />

variable. Pilot studies in regional and inter-basin variation would seem to<br />

offer useful possibilities.<br />

PREDICTION FOR THE FUTURE<br />

One attendee remarked that a meeting such as this Workshop would<br />

have been impossible three years ago--the implication being that, in the last<br />

three years, we have already come a very long way in assembling the data<br />

necessary for the tasks in hand. The comment is highly gratifying. At the<br />

same time, a three-year series of Observations is impossibly short for most<br />

purposes of prediction.<br />

281


It is axiomatic, that, for magnitude-frequency analysis of streamflow,<br />

:I 1 -etord nc3eds tu he twice as long as the greatest recurrence interval for<br />

WII i c.11 confident pt-edirlion tan be undertaken. Thus, a 100-year record is<br />

nredcvl for the conlidrnt prdiction of the <strong>50</strong>-year event. In practice,<br />

t,vents o f great m.~gnitudc md low frequency may have to be predicted from<br />

short rc'ror(l scric.s, in which case confidence limits should be stated.<br />

,As ~IS inc~vit.rl,lt~ tilat m~~gnitudt~-f rclquency analysis will appear increasingly<br />

. ~ t t 1r.1c.t ivtl. tiowt,ver, nlucll recent and turrent work has tended to reveal<br />

~ l i ~ ~ ' ~ ~ ~ l t i ~ ~ ~ step ~ ifilnrtii1ns--in t i ~ ~ s - - ~ :i ~ wl1olc ~ m ~ range ~ ~ ~ or r ~ pllenmrna, ~ l<br />

inclilcling those o f rlirnate, weather, and streamflow. It is, for instonce,<br />

c~.nti~-elv p~'ssii11c~ an for abrupt shift to occur in the arca/intensity/duratiorl<br />

1re1.1t ionsilips uf dominant storms,<br />

to a givcrl fluvial system.<br />

and consequently in the input of sediment<br />

1,:ven when very long recor-ds exist, or when the frequency of an<br />

event ot very great magnitude can reasonably be identified from a short<br />

rrcord, it may prove impossible to identify thresholds--such, for example, as<br />

the threshold where severe rhanncl erosion is suddenly initiated, and where<br />

thc, input of sediment into the flowing water is suddenly increased. A case<br />

in point is that of the English rivc'r Nene, which in 1947 experienced ii flood<br />

belonging somewhere between <strong>50</strong>0 and 1000 years on the annual series (Dury,<br />

1974). 'l'llis tlood, however, failed to produce significant efCects, either in<br />

the channcl or on the floodplain. Other rivers are known to respond drastically<br />

to floods of much lower magnitude (comparatively speaking) and of much<br />

greater frequency. Despite the obvious difficulties, the identification of<br />

thresholds of behaviour on the part of stream channels--and, €or that matter,<br />

of farml.lnd soils--is crucial to the prediction and control of sediment<br />

input. Once again, pilot studies and regional assessment are in order.<br />

1. G. H. Dury, in press : Peak Flows, Low Flows, and Aspects<br />

of (:eomorphic Dominance. Expected to appear in "River<br />

Channel Clranges"(ed. K. .I. Gregory): Wiley, for the<br />

British Geomorphological Research Group.<br />

2. (:. H. Dury, (1974): Magnitude Frequency Analysis and Channel<br />

Murphomrtry : in "Fluvial Geomorphology", (ed. M. Morisawa),<br />

State University of New York Publications in Geomorphology,<br />

9 1-121.<br />

2x2


EIiFVEB<br />

4<br />

CONCLUSIONS AND RECOMMENDATIONS<br />

FROM THE WORK GROUPS<br />

RESEARCH NEEUS


RECMNDATIONS OF THE WORK GR~UPS<br />

The work groups established at the workshop were held in four<br />

concurrent sessions. Three groups were each assigned a pollutant related<br />

to the sources and transport of sediment (nutrients, metals and pesticides).<br />

One group dealt with the physical processes involved in sediment generation<br />

and transport. It was made clear to eac.h group that they were to consider<br />

PLUARG's present programme of sediment collection and analysis and make<br />

any recommendations for changes in sampling and/or analysis. Additionally<br />

the groups were to consider the potential impact of ongoing research programmes<br />

and the research needed in the long term to help answer some of the<br />

questions posed during the plenary sessions.<br />

By the very nature of the work groups there was considerable overlap<br />

in the discussions. It would be difficult, for example, to discuss the<br />

relationship of pesticides to sediment without also discussing the physical<br />

processes involved in sediment production and movement. Where recommendations<br />

from work groups have overlapped, they have been edited and combined with<br />

general recommendations for research needs.<br />

The recommendations expressed here have been summarized by the<br />

work group chairmen and are not verbatim accounts of the discussion held.<br />

PHYSICAL PROCESSES<br />

This work group focused upon physical processes in fluvial transport<br />

of nutrients and contaminants although it is recognized that physical, chemical<br />

and biological processes must all be considered together. The work group<br />

examined several questions: (1) What do we need to know? - for PLUARG to<br />

satisfactorily complete its Terms of Reference, - for the Governments to<br />

manage land use activities to achieve satisfactory Great Lakes water quality,<br />

(2) What do we know?, and (3) What recommendations should be made to PLUARG<br />

and to the Research Advisory Board/IJC in terms of recommended actions or<br />

research needs?<br />

The Workshop was partitioned into considerations of sources and instream<br />

transport mechanisms and the discussions of Group 1 are presented here<br />

within the same categories. Research needs are discussed both within the<br />

context of immediate needs of PLUARG and with a view of future research which,<br />

although necessary to answer the PLUARG Terms of Reference, cannot be feasibly<br />

concluded within the life of PLUARG for reasons of cost, available time, data<br />

limitations. etc.<br />

285


Witit reference to the three questions posed in the PLUARG Terms<br />

(>t Reference, it is :rcrrpted tllet tlie boundary waters of the Great Lakes<br />

:;ystfni are being polluted lrom land drainage. Further information needs to<br />

hi, developed to define the extent, CJUS~S and localities in which pollution<br />

is taking place,, and to define the most practical remedial measures. The<br />

items listed helow are a statement of PLUARC, objectives within the context<br />

of (:roup 1 discussions, and necessary to answer the questions posed in the<br />

I’I.UAR(: ‘Terms of Reference:<br />

(1) Estimate contemporary fluvial loadings of sediment-related<br />

nutrients and contaminants into the Great Lakes.<br />

(2) Assess land use and associated loadings into the Great Lakes<br />

in the light of alternative management strategies.<br />

(3) Predict trends of loadings relationships into the future under<br />

different management strategies.<br />

(4) Recommend land use practices (remedial measures) in order to<br />

reduce or eliminate significant contaminant and pollutant<br />

loadings.<br />

It should be noted that the Physical Processes group addressed<br />

~lrr questions of sources of pollutants from land use activities and the<br />

transport and resultant loadings to the Great Lakes; it did not address the<br />

questions of impact analysis on the Great Lakes or the processes and fate<br />

of sediment in lake-river interface areas such as estuaries.<br />

SOURCES<br />

The discussion of land use practice and sediment production,<br />

sediment control and consequent stream loadings of sediment-related quality<br />

p,lrameters (in upstream areas) centered on the efficacy of detailed site and<br />

time-specific cause-effect studies as opposed to a more general mode approach<br />

in which stream loadings either at source of stream terminus are regarded as<br />

functions of classes of land use practices (either within a deterministic or<br />

statistical framework). In view of the timeframe for PLUARG, there was a<br />

consensus that such tmdelb, which adequately permit a “first-cut‘‘ at landuseloadings<br />

relationships in time and space ought to be tried. It was felt that<br />

within the timeframe of PLUARG, deterministic process linkages between lake<br />

loadings and site-specific land use practices upstream could be not made in<br />

drtail for reasons noted below. Therefore, existing models are the place to<br />

start since they have produced useful information in parts of the United States<br />

tor general categories of land use. Such models are likely adequate in the<br />

short-term for PLUARG purposes, but need to be calibrated with data from the<br />

(:reat Lakes Basin. Although such models may not have a high level of resolution<br />

for a11 tributary basins in the Great Lakes when projected downstream to<br />

lake boundaries, they provide a focus for the experimental and fluvial process<br />

rescarch required to obtain improved relationships between land use activities<br />

and lake loadings.<br />

286


The major deficlency both of existing landuse-loadings models<br />

and of site specific process-response studies of sediment production by<br />

specific land use practice, is the inability to link upstream or source<br />

water quality observations with river mouth loadings. Although the principles<br />

of sediment transport mechanics are well known, the downstream<br />

movement and modification of sediment-related water quality variables are<br />

poorly understood. It is recognized that load modification is noL only<br />

related to physical processes but also includes biological and chemical<br />

interactions. In addition to poorly understood biochemical processes, it<br />

is recognized that contemporary data are inadequate to meet the needs of<br />

instream process research. These data inadequacies pertain both to poor<br />

characterization of variables (e.g., particle-size, inorganic/organic<br />

ratio, speciation of key components, aerosol input, etc.) and to lack of<br />

definition of spatial and temporal variations associated with parameter<br />

flux and with in-stream processes (such as sediment storage-remobilization<br />

mechanisms, time of travel of particle-size classes, short (anthropogenic)<br />

and long-term (climatic) variations in sediment flux and storage, etc.).<br />

It is recognized that these inadequacies must be investigated in order that<br />

extrapolation from loadings in source areas to loadings at river mouths<br />

reflects stream process both in space and in as time the watershed undergoes<br />

natural and anthropogenic perturbations.<br />

DATA<br />

Routine data on water quality and quantity have been collected for<br />

at least a decade on both sides of the Lakes, and therefore a special effort<br />

must be made to assess adequacy of historical data to and fully utilize them<br />

within limits established by the assessment procedure. In conjunction with<br />

the PLUARG (intensive and event-oriented) supplementary data collection,<br />

there is need to examine historical and PLUARG data and collection procedures<br />

for the purpose of:<br />

assessing the loads and the accuracy of load estimates for<br />

sediment, pollutants and contaminants at river mouths (bearing<br />

in mind the often non-linear discharge dependencies illustrated<br />

by many variables);<br />

identifying the watersheds which have a major and deleterious<br />

effect upon Great Lakes water quality;<br />

evaluating sampling technique, in terms of depth and flow dependencies<br />

of problem substances, for identification of temporal<br />

variation in load and the degree to which these data are site<br />

dependent;<br />

updating parameter lists to indicate those recently identified<br />

as either having a deleterious environmental effect or containing<br />

information bearing upon in-stream process mechanisms (e.g.,<br />

particle-size, organic/inorganic, metal speciation);<br />

evaluating sampling network design so that in-stream load modification<br />

from source to mouth may be inferred and the spatial<br />

and temporal resolution of loads and source-area contributions<br />

may be identified.<br />

287


RECOPMENDATIONS AND RESEARCH NEEDS<br />

111 view of the lack of familiarity of many of the workshop part<br />

icipants with the operational organization of PLUARG, recommendations<br />

a~ld r-rsearcti needs are stated on general scientific grounds. Although<br />

rrcommendations may not apply equally to U.S. or Canadian activities,<br />

research nerds reflect inadequacies of state-of-art. Feasibility of recommendations<br />

and research needs must be determined<br />

Research Advisory Board.<br />

by PLUAKG and the<br />

Using river mouth loads, identify all streams that discharge significant<br />

loads to the Great Lakes. Of those streams that are important, conduct<br />

surveys from the mouth (upstream) to identify major problem input sources.<br />

The collective wisdom is that most serious problems at the mouth will<br />

relate to problem areas not far upstream. In such cases, management<br />

scenarios (alternative remedial measures) should be investigated.<br />

Compnrr stream (aquatic) loading to other sources so you know how<br />

important (relatively) the stream loading component is.<br />

Assess adequacy and applicability of existing data. This should<br />

include an assessment of variables and of the efficacy of present<br />

Jata collection strategies for their ability to resolve spatial and<br />

temporal trends in loadings at source and mouth. This recommendation<br />

does not necessarily imply "more" data collection but rather "better"<br />

data collection. Necessary changes should be implemented to correct<br />

data deficiencies.<br />

Apply existing sediment-loadings models both to assess sediment-<br />

prodilrtion at source, and in order to derivc upper-bound values for<br />

stream-mouth loadings by pxtrapolation over large areas.<br />

Identity and rank present management strategies which focus upon<br />

major sources. Models should be used to evaluate probable effects<br />

nf alternative management choices. (The term models, does not<br />

necess,lrily imply computer programs. It may be simple empirical<br />

formulae - although computer models are available and would be<br />

usrful) .<br />

Initiate preliminary field studies of downstream transport mechanisms<br />

and load modifications of both a physical and chemical nature in small,<br />

relativelv simple catchments with transposition to selected Type<br />

rat clmrnts of greater complexity.<br />

'88


Research Needs:<br />

Study of erosion and sediment transfer mechanisms source in areas<br />

with respect to general principles and their spatial and temporal<br />

significance. This should include consideration of "partial area<br />

hydrology" insofar as it relates to probable source areas of sediment.<br />

Establish causal mechanisms for changes in sediment quality and<br />

quantity during stream transport in complex stream systems. This<br />

should include fundamental research into the physical, biological<br />

and chemical process mechanisms. Such data are required to improve<br />

present landuse-loadings models to that the effect of upstream<br />

management alternatives can be assessed in terms of loadings to the<br />

Great Lakes.<br />

Develop and apply improved models<br />

to all tributary basins in which<br />

significant loadings problems exist to facilitate trade-off analyses<br />

of alternative remedial measures. Such application should include<br />

research developments from bl and 112 above.


NUTRIENTS W~RK GROUP<br />

RESEARCH NEEDS ~CDMVENDATIONS<br />

Much more effort should be spent on methods to evaluate the<br />

biological availability of the phosphorus entering the lakes<br />

from the tributaries. A special group should be set up to<br />

concentrate on this aspect.<br />

The kinetics of removal of phosphorus from the water to the<br />

stream and river sediments should be studied in greater detail.<br />

The parameters of riverine storage of phosphorus should be<br />

investigated in detail.<br />

Based on (2) and (3) a weighting system should be devised for<br />

the various tributary sources of phosphorus.<br />

IWEDIATE<br />

~COFF~ENDATIONS FOR PLuAffi<br />

(I) Characterize all pilot watersheds for spatial variability and<br />

attempt to relate this to measured nutrient output based on<br />

partial area hydrology models.<br />

(2) The compatibility of various goals should be investigated, i.e.<br />

is it better to slow erosion to control pesticide transport, or<br />

to allow it to continue to aid in phosphorus de-activation.<br />

(3) One must recognize the divers nature of the Great Lakes area.<br />

Recommendations for control must be made on an almost site<br />

specific basis.<br />

291


PESTICIDES WORK GROUP<br />

RESEARCH NEEDS RECOWENDATIONS<br />

It is essential for the regulatory and other agencies in Canada<br />

and the United States to know precisely the location, names and<br />

quantities of organic substances being used which may be hazardous<br />

to the biota of the Great Lakes Basin wherever that biota is of<br />

economic or peripheral importance. Such knowledge is essential<br />

to establish research priorities and for current and future<br />

surveillance.<br />

A need exists to select and develop standard techniques and<br />

criteria to evaluate the toxic effects of substances on biota<br />

of the greatest importance to the Great Lakes Basin ecosystem.<br />

This will ensure that criteria for all substances in use or<br />

developed for the future are assessed using the same criteria<br />

and at levels likely to be found in the environment.<br />

There is a need to document the case histories of such substances<br />

as DDT and PCBs to ensure that mechanisms and transfers well as<br />

as past analyses are thoroughly understood in order to develop<br />

predictive models for substances of similar nature, but yet to be<br />

developed or used. There is little likelihood that any substances<br />

will be as thoroughly studied and documented as the major pesticides<br />

and derived products used since 1940. The knowledge concerning these<br />

should be so firmly corroborated in respect to fluvial, point source<br />

and aerial inputs and transformations that all future studies can<br />

use the approaches or findings to extrapolate effects before crisis<br />

develop.<br />

There is a need for more information on the relative importance<br />

of the various routes by which organic contaminants enter into the<br />

Great Lakes Basin ecosystem. This information is needed before<br />

recommendations relating to land use can be seriously considered.<br />

The question of open-water disposal of dredged sediments was<br />

raised but appears to be adequately covered by the report from<br />

the <strong>International</strong> Working Group on the Abatement and Control of<br />

Pollution from Dredging Activities.


[“ETALS W~RK GWUP<br />

RESEARCH NEEDS ~COMVENDATIONS<br />

The need,to investigate:<br />

The biological availability of metals in uplands, streams,<br />

lakes, and estuaries under various environmental conditions<br />

i.e., pH, Eh, etc;<br />

The various release mechanisms available for metals entrained<br />

with organic and inorganic sediments in uplands, ground-waters,<br />

streams and lakes;<br />

The metal concentrations and types associated with various size<br />

fractions of organic and inorganic sediments and their chemical<br />

and/or mineralogical composition;<br />

Whether metals are tied to sediment sizes most difficult to<br />

control using conventional and existing soil erosion and sediment<br />

control procedures;<br />

Whether sediment erosion and control practices used in agriculture,<br />

urban areas, mining, construction and related land uses are<br />

adequate to retain these finer-grain sizes. If not, what new<br />

technology may be applied for their control;<br />

The probable costs of these control measures and their benefits<br />

not only with metals but other entrained pollutants, i.e. N, P,<br />

pesticides, etc.;<br />

The processes of chemical fractionation of metals. These processes<br />

may influence metal occurrence, transport and bioavailability.<br />

Chemical fractionation must be coupled to metal release mechanisms<br />

to predict resulting concentrations of metals in aqueous systems;<br />

The organic species (plants, animals, etc.) that tie up metals<br />

that might, in turn, be converted to the elemental form of the<br />

metal ;<br />

The toxicity levels of metals and complexed metals to various<br />

aquatic plants, animals and segments of food chains;<br />

(10) The kinetics of metal complexes as these kinetics will shed light<br />

on metal speciation and metal behaviour within aqueous systems.<br />

The ionic strengths of metal complexes are influenced by salinity<br />

and other factors that must be defined.<br />

295


RECOWENDATIONS FOR PLUARG<br />

(1) 'The reproducibility of results of chemical analyses for<br />

meLals using various sampling times, sampling procedures,<br />

and analytical techniques must be assured through the con-<br />

tinuance of the PLIJARC interlaboratory comparison programme.<br />

(2) PLLJAKG must determine the atmospheric loadings of metals.<br />

Tlw sources and source regions must be found and an estimate<br />

made of possible control measures and costs to reduce this<br />

loading.<br />

296


EilFVEl<br />

Fl<br />

WORKSHOP ORGINIZERS<br />

AND ATTENDEES


WORKSHOP AITENDEES<br />

Dr. John R. Adam<br />

Water Quality Management Program<br />

Toledo Metropolitan Area Council of<br />

(:overnments<br />

Suite 725<br />

420 Madison Avenue<br />

Toledo, Ohio 43604<br />

Ilr. Herbert E. A1lc.n<br />

Assistant: Professor<br />

Illinois Institute of Technology<br />

Chicago, Illinois 60616<br />

Dr. (:arl )s Alonso<br />

[KIM Sedimentation Laboratory<br />

1'. 0. Box 1157<br />

Oxford, Miss. 38655<br />

Dr. Eugene .J. Aubert<br />

Director<br />

Great Lakes Environmental Research<br />

Laboratory<br />

2'300 Waslltenaw Avenue<br />

Ann Arbor-, Michigan 48104<br />

l'rofrsso~ David B. Baker<br />

River Sttldies Laboratory<br />

Heidelberg College<br />

Tiffin, Ohio 44883<br />

Dr. Keith Bedford<br />

Water Resources Centre<br />

The Ohio State University<br />

1791 Neil Avenue<br />

Columbus, Ohio 43210<br />

Professo~ David R. Bouldin<br />

Cornell I!niversity<br />

Department of Agronomy<br />

Bradfielo and Emerson Halls<br />

Ithaca, New York 148<strong>50</strong><br />

299<br />

Mr. J. E. Brubaker<br />

Agricultural Engineering Extensions<br />

Branch<br />

Ontario Ministry of Agriculture<br />

and Food<br />

Guelph, Ontario<br />

Ms. Margery Bynoe<br />

Department of Geography<br />

Queen's University<br />

Kingston, Ontario<br />

Mr. Thomas 1%. Cahill<br />

Resource Management AssociaLes<br />

P. 0. Box 740<br />

West Chester, PA 19380<br />

Mr. Wayne Chapman<br />

Soil Conservation Service<br />

c/o EPA<br />

Non Point Sources Branch<br />

WH 554<br />

401 M Street, S.W.<br />

Washington, D. C. 20460<br />

Dr. Y. K. Chau<br />

Canada Centre for Inland Waters<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, Ontario I.7R 4126<br />

Dr. C:. Cllesters<br />

Director<br />

Water Resources Center<br />

University of Wisconsin<br />

1975 Willow Drive<br />

Madison, Wisconsin 53706<br />

Dr. Richard Coote<br />

Engineering Research Services<br />

Agriculture Canada<br />

Ottawa, Ontario KlA OC6


Mr. .I. Culht~rtsm<br />

U.S. 1)ep.lrtrncnt of the Lnterior<br />

L(~ologiva1 Survev<br />

Kt~ston, l'irginia 2209Z<br />

Ur. Trevor Ilic kinson<br />

Engineering Department<br />

University of Guelph<br />

Ouelpll, Ontario N1(: LW1<br />

I'r


Mr. Ken Kemp<br />

Indiana Stream Pollution Control Board<br />

Planning Section<br />

310 W. Michigan Avenue<br />

Indianapolis, Indiana<br />

Dr. .J. Knox<br />

Institute for Environmental Studies<br />

University of Wisconsin-Madison<br />

1042 Warf Building<br />

610 Walnut Building<br />

Madison, Wisconsin 57706<br />

Dr. .I. (;. Konrad<br />

Superviscr of Special Studies<br />

Wisconsir Department of Natural<br />

Resources<br />

Madison, Wisconsin 53701<br />

Dr. A. K. Lebeuvre<br />

Canada Centre for Inland Waters<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, Ontario L7K 4A6<br />

Professor '7'. I.ogan<br />

'The Ohio State Univfrsity<br />

1885 Neil Avenue<br />

Columbus. Ohio 43210<br />

Ms. Elsie MacDonnld<br />

Soil Kescaarch lnstitute<br />

Agriculture Canada<br />

Ottawa, Ontario K1A 0C6<br />

Mrs. Edit.1) MacIntosh<br />

Mayor<br />

City of Kitchener<br />

City Hall<br />

Kitchenei, Ontario<br />

Dr. A. D. McElroy<br />

Ireatmen! and Control Processes Section<br />

Midwest l{esrarch Institute<br />

425 Volktlr Voulevard<br />

Kansas City, Missouri<br />

Mr. William F. Mildner<br />

U.S. Soil Conservation Service<br />

Hyattsville, Maryland 20782<br />

301<br />

Professor M. H. Miller<br />

Department of Land Resource Science<br />

Ontario Agricultural College<br />

University of Cuelph<br />

Cuelph, Ontario N16 2W1<br />

Dr. 11. V. Morley<br />

Agriculture Canada<br />

Room 1113<br />

K. W. Neatby Building<br />

Carling Avenue<br />

Ottawa, Ontario KlA 0C6<br />

Dr. M. D. Mullin<br />

US Environmental Protection Agency<br />

Grosse Ile Laboratory<br />

9311 Groh Koad<br />

Grosse Ile, Michigan 48138<br />

Dr. Carl Nordin<br />

U.S. (:e(,logical Survey<br />

Mailstop 413<br />

Box 2<strong>50</strong>46<br />

Denver Federal Centre<br />

Lakewood, Colorado 80225<br />

Mr. .I. E. O'Neill<br />

Water Kesources Branch<br />

Ministry of the Environnwnt<br />

135 St. Cllir Avenue West<br />

Turonto, Ontario M4V 1P5<br />

Dr. E. D. Ongley<br />

kpartment of Geography<br />

()wen's University<br />

Kingston, Ontario<br />

Mr. R. C. Ostry<br />

Water Quality Management Branch<br />

Ontario Ministry of the Environment<br />

135 St. Clair Avenue West<br />

Toronto, Ontario M4V 1P5<br />

Dr. Richard K. P,irizek<br />

Ilepartment of Geosciences<br />

Pennsylvania State University<br />

University Park, Penn. 16802


Ms. Jean Percival<br />

Department of Geography<br />

Queen's University<br />

Kingston, Ontario<br />

Dr. Harry B. Pionke<br />

Research Leader<br />

U.S. Department of Agriculture<br />

111 Research Building A<br />

University Park, Penn. 16802<br />

Mr. J. Ralston<br />

Water Resources Planning Unit<br />

Ontario Ministry of the Environment<br />

135 St. Clair Avenue West<br />

Toronto, Ontario M4V 1P5<br />

Mr. J. D. Roseborough<br />

Director<br />

Fish and Wildlife Research Branch<br />

Ontario Ministry of Natural Resources<br />

P. 0. Box <strong>50</strong><br />

Maple, Ontario LOJ 1EO<br />

Professor G. K. Rutherford<br />

Department of Geography<br />

Queen's University<br />

Kingston, Ontario K7L 3N6<br />

Professor Joseph Shapiro<br />

Geology & Ecology Department<br />

University of Minnesota<br />

Minneapolis, Minnesota 55455<br />

Dr. Harvey Shear<br />

<strong>International</strong> <strong>Joint</strong> Comisslon<br />

Great Lakes Regional Office<br />

100 Ouellette Avenue<br />

Windsor, Ontario N9A 6T3<br />

Dr. D. B. Simons<br />

Engineering Research Centre<br />

Colorado State University<br />

Fort Collins, Culorado 80523<br />

Dr. P. G. Sly, Chief<br />

Lakes Research Division<br />

Canada Centre for Inland Waters<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, Ontario L7R 4A6<br />

302<br />

Dr. William Sonzogni<br />

Great Lakes Basin <strong>Commission</strong><br />

3475 Plymouth Road<br />

P. 0. Box 999<br />

Ann Arbor, Michigan 48106<br />

Dr. R. L. Thomas<br />

Director<br />

Great Lakes Biolimnology Laboratory<br />

Canada Centre for Inland Waters<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, Ontario L7R 4A6<br />

Mr. Robert E. Thronson<br />

Environmental Protection Agency<br />

Waterside Mall<br />

Room 2417-D<br />

Washington, D. C. 20460<br />

Dr. J. K. Vallentyne<br />

Ocean and Aquatic Affairs<br />

Fisheries 6 Marine Services<br />

Environment Canada<br />

580 Booth Street<br />

Ottawa, Ontario K1A OH3<br />

Dr. F. H. Verhoff<br />

Route 7<br />

Box 307<br />

Morgantown, W. Va. 26<strong>50</strong>5<br />

Mr. Eric Veska<br />

Department of Geological Sciences<br />

Brock University<br />

St. Catharines, Ontario L2S 3A1<br />

Dr. Greg Wall<br />

University of Guelph<br />

Guelph, Ontario N1G 2W1<br />

Dr. D. E. Walling<br />

Department of Geography<br />

Armor Building<br />

Rennes Drive<br />

Exeter, England EX4 4RJ<br />

Dr. A. E. P. Watson<br />

<strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

Great Lakes Regional Office<br />

100 Ouellette Avenue<br />

Windsor, Ontario N9A 6T3


Mr. G. M. Wood<br />

Solid Waste Unit<br />

Ontario Ministry of the Environment<br />

135 St. Clair Avenue Vest<br />

'Toronto. Ontario M4V 1P5<br />

Dr. Stephen Yaksich<br />

Corps of Engineers<br />

Department of the Army<br />

1776 Niagara Street<br />

HufIalo, New York 14207


PWARG ~MBERSHI P<br />

Norman A. Berg (Chairman)<br />

Associate Administrator<br />

Soil Conservation Service<br />

U.S. Department of Agriculture<br />

P. 0. Box 2890<br />

Washington, D. C. 20013<br />

Konald ldaybrant<br />

Water Quality Appraisal Section<br />

Water ()uality Division<br />

Michigan Department of Natural Resources<br />

1’. 0. Box 30028<br />

Lansing, Michigan 48909<br />

I.. Robert Carter<br />

Coordin.ltor of Environmental Programs<br />

Office of the Assistant <strong>Commission</strong>er<br />

for Environmental Health<br />

1330 West Michigan Street<br />

Indianapolis, Indiana 46206<br />

Leo J. Ifetling<br />

Environ~nental Quality<br />

Kesearcll and Development Unit<br />

New York State Department of<br />

Envir(mmenta1 Conservation<br />

<strong>50</strong> Wolf Road<br />

Room 510<br />

Albany, New York 12201<br />

Richard R. Parizek<br />

Professt~r of Geology<br />

Department of Geosciences<br />

The Pennsylvania State University<br />

University Park, Pennsylvania 16802<br />

305<br />

Merle W. Tellekson<br />

Technical Support Branch<br />

Surveillance & Analysis Division<br />

Environmental Protection Agency<br />

Region V<br />

230 South Dearborn Street<br />

Chicago, Illinois 60604<br />

John G. Konrad<br />

Supervisor of Special Studies<br />

Wisconsin Department of Natural<br />

Resources<br />

Madison, Wisconsin 53701<br />

Floyd E. Heft<br />

Division of Soil & Water Districts<br />

Ohio Department of Natural Resources<br />

Fountain Square<br />

Columbus. Ohio 43224<br />

John Pegors<br />

Minnesota Pollution Control Agency<br />

1015 Torrey Building<br />

Duluth, Minnesota 55802<br />

Gerald B. Welsh (Secretary)<br />

Resource Development Division<br />

Soil Conservation Service<br />

U.S. Department of Agriculture<br />

P. 0. Box 2890<br />

Washington, D. C. 20013


Murrav (;. .Johnson (Chairman)<br />

Director General<br />

Ontario Region<br />

Fisheries and brine Service<br />

Ilepartment of Fisheries h Environment<br />

30<strong>50</strong> Harvester Road<br />

tiurlington, Ontario L7N 351<br />

K. I>. l't~omas<br />

Director<br />

(:rc.at Lakes Uiol imnology Laboratory<br />

Canada Ccntrc for Inland Waters<br />

1'. 0. Box <strong>50</strong><strong>50</strong><br />

RurlingLon, Ontario L7R 44.6<br />

Ii. V. Morley<br />

Kesfnr?t? ('or~r,+inntor<br />

(Lnvi rvnment and Krsources)<br />

Agriculture (:anada<br />

K.W. Neathy Building<br />

Room 1111<br />

Carling Avcmue<br />

Ottawa, Ontario KIA 0C6<br />

K. Stiikaze<br />

Chief<br />

Environmental Control Division<br />

Environmental Protection Service<br />

Department of Fisheries & Environment<br />

135 St. Clair Avenue West<br />

2nd Floor<br />

Toronto, Ontario M4V 1P5<br />

K. Code<br />

Ontario Ministry of Natural Resources<br />

Room 6602, Whitney Block<br />

Queen's Park<br />

Toronto. Ontario<br />

306<br />

Donald N. .Teffs<br />

Assistant Llirector<br />

Water Resources Branch<br />

Ontario Ministry of the Environment<br />

135 St. Clair Avenue West<br />

Toronto, Ontario M4V 1P5<br />

(:. Martin Wood<br />

llead, Solid Waste Unit<br />

Ontario Ministry of the Environment<br />

135 St. Clair Avenue West<br />

Toronto, Ontario M4V 1P5<br />

.I. E. Urubaker<br />

Agricultural Engineering Extensions<br />

Branch<br />

Ontario Ministry of Agriculture &<br />

Food<br />

(helph, Ontario N1G 2W1<br />

.John Ralston<br />

Head<br />

Water Resources Planning Unit<br />

Ontario Ministry of the Environmen<br />

135 St. Clair Avenue West<br />

Toronto, Ontario M4V 1P5<br />

John D. Wiebe (Secretary)<br />

Environmental Assessments Coordina<br />

Ontario Region<br />

Environmental Management Service<br />

Department of Fisheries & Environrr<br />

30<strong>50</strong> Harvester Road<br />

Burlington, Ontario L7N 351<br />

Secretariat Responsibilities:<br />

Dr. Harvey Shear<br />

Biologist<br />

<strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

Great Lakes Regional Office<br />

100 Ouellette Avenue, 8th Floor<br />

Windsor, Ontario N9A 6T3


W~RKSI-KIP ORGANIZERS<br />

Dr. Leo J. Hetling<br />

Director, Environmental Quality<br />

Research and Development Unit<br />

New York State Department of<br />

Environmental Conservation<br />

<strong>50</strong> Wolf Road<br />

Albany, New York<br />

Mr. John N. Holeman<br />

Sedimentation Geologist<br />

United States Department of<br />

Agriculture<br />

Soil Conservation Service<br />

Washington, D. C. 202<strong>50</strong><br />

Dr. Dale D. Huff<br />

Iksearch Hydrologist<br />

Environmental Sciences Division<br />

Buildlng 3017<br />

Oak Ridge Nationdl Laboratory<br />

Oak Ridge, Tennessee 37830<br />

Dr. Edwin D. Ongley<br />

Associate Professor<br />

Department of Geography<br />

Queen's University<br />

Kingston, Ontario<br />

307<br />

Dr. Harvey Shear<br />

Aquatic Biologist<br />

<strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

Great Lakes Regional Office<br />

100 Ouellette Avenue<br />

Windsor, Ontario N9A 6T3<br />

Dr. Richard L. Thomas<br />

Director<br />

Lakes Research Division<br />

Canada Centre for Inland Waters<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, Ontario L7R 4A6<br />

Dr. Jack R. Vallentyne<br />

Senior Scientific Advisor to the<br />

Assistant Deputy Minister<br />

Ocean and Aquatic Affairs<br />

Fisheries and Marine Service<br />

Environment Canada<br />

580 Booth Street<br />

Ottawa, Ontario K1A OH3


Dr. D. I. Mount (Chairman)<br />

Director<br />

Environmental Kescarch Laboratory<br />

6201 Congdon Avenue<br />

L)uluth, Minnesota ‘15804<br />

Professor Joseph Shnpiro<br />

Geology Department<br />

University of Minnesota<br />

220 I’illsbury Hali.<br />

Minneapolis, Minnesota 55455<br />

Dr. Eugene J. Aubert<br />

Uirector<br />

Great Lakes Environmental Research<br />

Laboratory<br />

National Oceanographic and Atmospheric<br />

Administration<br />

2300 Washtenaw Avenue<br />

Ann Arbor, Michigan 48104<br />

Professor Leonard 1%. Dworslcy<br />

Civil and Environmental Engineering<br />

Cornell University<br />

302 HolLlster Hall<br />

Itltaca, New York 14853<br />

RESEARCH ADVISORY ~ A R D ~ E R S H I P<br />

(AS OF OCTOBER 1976)<br />

308<br />

Mr. Alvin R. Balden<br />

19 Alina Lane<br />

fiot Springs Village, Arkansas 71901<br />

Mrs. Evelyn Stebbins<br />

Citizens for Clean Air and Water Inc.<br />

705 Elmwood<br />

Rocky River, Ohio 44116<br />

Dr. Herbert E. Allen<br />

Assistant Professor<br />

Department of Environmental<br />

Engineering<br />

Illinois Institute of Technology<br />

Chicago, Lllinois 60616<br />

Professor Archie J. McDonnell<br />

Department of Civil Engineering<br />

Water Resources Research Center<br />

The Pennsylvania State University<br />

University Park, Pennsylvania 16802<br />

Ex Officio<br />

”<br />

.~<br />

Mr. Carlos M. Fetterolf, Jr.<br />

Executive Secretary<br />

Great Lakes Fishery <strong>Commission</strong><br />

1451 Green Road<br />

Ann Arbor, Michigan 48107


Canadian<br />

Dr. A. R. LeFeuvre (Chairman)<br />

Director<br />

Canada Centre for Inland Waters<br />

Environment Canada<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Rurlington, Ontario L7R 4A6<br />

Mr. Arnold J. Drapeau<br />

Professor<br />

Ecole Polytechnique<br />

Campus de L'Universite de Montreal<br />

C.P. 6079 - Succursde "A"<br />

Montreal, Quebec H3C 3A7<br />

Mr. H. R. Holland<br />

462 Charlesworth Lane<br />

Sarnia, Ontario N7Y 2R2<br />

Mr. Paul D. Foley<br />

Coordinator<br />

Development and Research Group<br />

Ontario Ministry of the Environment<br />

175 St. Clair Avenue West<br />

'Toronto, Ontario M4V 1P5<br />

Dr. J. C. N. Westwood<br />

Professor & Head of Microbiology and<br />

Immunology<br />

Faculty of Medicine<br />

University of Ottawa<br />

Ottawa, Ontario K1N 6N5<br />

309<br />

Mr. J. Douglas Roseborough<br />

Director<br />

Fish and Wildlife Research Branch<br />

Ontario Ministry of Natural Resources<br />

P. 0. Box <strong>50</strong><br />

Maple, Ontario 1.O.J 1EO<br />

Mrs. Mary Munro<br />

3020 First Street<br />

Burlington, Ontario L7N 1C3<br />

Dr. .J. R. Vallentyne<br />

Senior Scientific Advisor<br />

Ocean & Aquatic Affairs<br />

Fisheries & Marine Service<br />

Environment Canada<br />

580 Booth Street<br />

Ottawa, Ontario K1A OH3<br />

Ex Officio "<br />

Mr. Floyd C. Elder<br />

A/Head, Basin Investigation and<br />

Modelling Section<br />

Canada Centre for Inland Waters<br />

Environment Canada<br />

P. 0. Box <strong>50</strong><strong>50</strong><br />

Burlington, 0ntar:io L7R 4A6<br />

" Secretariat-Responsibilities:<br />

Dr. Dennis E. Konasewich<br />

Scientist<br />

<strong>International</strong> <strong>Joint</strong> <strong>Commission</strong><br />

Great Lakes Regional Office<br />

1.00 Ouellette Avenue, 8th Floor<br />

Windsor, Ontario NYA 6TJ

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