Peace and Myakka River Water Quality Summary 2002 - Southwest ...

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Big Slough Canal near Myakka City (USGS gage no. 02299410).WaterYearTSS Turbidity TOC NO 2+3 TPMeanWQI(w/out TP)Water QualityCharacterization1998 -- -- -- -- -- -- --1999 51 55 70 64 74 60 “fair”2000 72 58 62 78 78 67 “poor”2001 50 21 68 73 76 53 “fair”Big Slough Canal near North Port (USGS gage no. 02299455).WaterYearTSS Turbidity TOC NO 2+3 TPMeanWQI(w/out TP)Water QualityCharacterization1998 -- -- -- -- -- -- --1999 34 42 67 42 74 46 “fair”2000 49 24 64 65 72 50 “fair”2001 48 23 56 61 71 47 “fair”22
3.0 CONSTITUENT LOADS AND YIELDSEstimation of loads and yields of water and water quality constituents is a basiccomponent of most watershed assessment programs. ‘Load’ represents the mass of aconstituent (e.g., tons of nitrogen) passing a given point in a stream during a specifiedtime interval (e.g., month, day or year). The ‘yield’ of a constituent is the load divided bythe surface area of the contributing drainage basin, allowing loads produced by basinsof different size to be compared on a consistent, per-unit-area basis.3.1 ANNUAL LOADSLoading rates are estimated by measuring streamflow and constituent concentrations atthe locations of interest, and computing load as the product of the flow andconcentration values. Due to cost constraints, however, flow and concentrationmeasurements are often collected at very different frequencies. In many monitoringstudies, flows are measured continuously while constituent concentrations aremeasured less frequently and at discrete time intervals (e.g., biweekly or monthly). Thedifferent frequency of collection of flow and concentration values introduces significantcomplications into the load estimation problem.Three general types of estimators have been proposed to address these complications(Preston et al. 1989):• Averaging estimators use averages or other values to represent constituentconcentrations on days when sampling was not performed, producing a synthetictime series of concentration values that can be used when computing estimateddaily, weekly, monthly and annual loads. This is the simplest method, but issubjective and based on a number of implicit assumptions which, if violated, maylead to estimation bias;• Regression estimators typically use log-log regression to describe therelationship between constituent concentration and flow. The regressionequation is then used to create a synthetic time series of estimated concentrationvalues, based on measured flows. This approach works best for constituentswhose concentrations are highly correlated with flow.• Ratio estimators are derived from survey sampling statistics, and use themeasured flow values as an ‘auxiliary variable’ and load as the dependentvariable. The ratio estimator is a ‘best linear unbiased estimator’ (Cochran 1977)if two conditions are met:o the relationship between load and flow is a straight line through the origin;ando the variance of the load values is an increasing function of flow.After examining flow and concentration records from the 1998 – 2001 Peace-Myakkamonitoring program, the ratio estimator approach was chosen to estimate constituent23
Page 1 and 2: Peace and Myakka RiverWater Quality
Page 3 and 4: CONTENTSExecutive Summary .........
Page 5 and 6: REPORT ORGANIZATION AND SCOPEThe pr
Page 7 and 8: “Good” water quality conditions
Page 9 and 10: The primary manmade influences incl
Page 11 and 12: Yields of total suspended solids (T
Page 13 and 14: are transported from fresh to more
Page 15 and 16: LIST OF FIGURESFigure 1. Map showin
Page 17 and 18: 1.0 INTRODUCTION1.1 BACKGROUNDDurin
Page 19 and 20: maintaining water quality at levels
Page 21 and 22: on the initial day of field work; t
Page 23 and 24: Figure 1. Locations of USGS gaging
Page 25 and 26: ANNUAL RAINFALLANNUAL STREAMFLOW% O
Page 27 and 28: For this study, annual average WQI
Page 29 and 30: • Big Slough Canal near Myakka Ci
Page 31 and 32: Table 2. Annual WQI values for non-
Page 33 and 34: Peace River at Zolfo Springs (USGS
Page 35 and 36: Horse Creek near Myakka Head (USGS
Page 37: Myakka River near Sarasota (USGS ga
Page 41 and 42: Table 3. Estimated annual TN loads
Page 43 and 44: Table 5. Estimated annual NO 2+3 -N
Page 45 and 46: Table 7. Estimated annual TP loads
Page 47 and 48: Table 9. Estimated annual TSS loads
Page 49 and 50: Myakka City gaging station (in wate
Page 51 and 52: PEA CE CREEK CANAL nr WAHNETASADDLE
Page 53 and 54: PEACE CREEK CANAL nr WAHNETASADDLE
Page 67 and 68: ###TidalMyakkaRiverTidalPeaceRiverS
Page 69 and 70: Median color values for Florida riv
Page 71 and 72: ecorded at least once during most y
Page 73 and 74: 5.0 REFERENCESCanfield, D., and M.
Page 75 and 76: Water Quality Conditionsand Polluta
Page 77 and 78: TURBIDITY (NTU), BY STATION AND WAT
Page 79 and 80: TURBIDITY, BY STATION AND WATER YEA
Page 81 and 82: TSS, BY STATION AND WATER YEARGAGE_
Page 83 and 84: COLOR (PCU), BY STATION AND WATERGA
Page 85 and 86: COLOR, BY STATION AND WATER YEARGAG
Page 87 and 88: pH, BY STATION AND WATER YEARGAGE_N
Page 89 and 90:
SPEC. COND. (uS/CM), BY STATION AND
Page 91 and 92:
SPEC. COND., BY STATION AND WATER Y
Page 93 and 94:
DO, BY STATION AND WATER YEARGAGE_N
Page 95 and 96:
CHLA [MONOCHROMATIC, uG/L], BY STAT
Page 97 and 98:
CHLA [MONOCHROMATIC], BY STATION AN
Page 99 and 100:
NH4-N, BY STATION AND WATER YEARGAG
Page 101 and 102:
NO23-N (MG N/L), BY STATION AND WAT
Page 103 and 104:
NO23-N, BY STATION AND WATER YEARGA
Page 105 and 106:
TKN, BY STATION AND WATER YEARGAGE_
Page 107 and 108:
PO4-P (MG P/L), BY STATION AND WATE
Page 109 and 110:
PO4-P, BY STATION AND WATER YEARGAG
Page 111 and 112:
TP, BY STATION AND WATER YEARGAGE_N
Page 113 and 114:
TOC (MG/L), BY STATION AND YEARGAGE
Page 115 and 116:
TOC, BY STATION AND YEARGAGE_NUM WY
Page 117 and 118:
Near-surface salinity (ppt)SITE WY
Page 119 and 120:
Near-surface salinity (ppt)SITE WY
Page 121 and 122:
Near-surface color (PCU)SITE WY N M
Page 123 and 124:
Near-surface TSS (mg/L)SITE WY N Mi
Page 125 and 126:
Near-surface TSS (mg/L)SITE WY N Mi
Page 127 and 128:
Near-surface turbidity (NTU)SITE WY
Page 129 and 130:
Secchi depth (m)SITE WY N Minimum 2
Page 131 and 132:
Secchi depth (m)SITE WY N Minimum 2
Page 133 and 134:
Near-surface pHSITE WY N Minimum 25
Page 135 and 136:
DO (mg/L) - all depthsSITE WY N Min
Page 137 and 138:
DO (mg/L) - all depthsSITE WY N Min
Page 139 and 140:
Near-surface PO 4 —P (mg P/L)SITE
Page 141 and 142:
Near-surface DIN (mg N/L)SITE WY N
Page 143 and 144:
Near-surface DIN (mg N/L)SITE WY N
Page 145 and 146:
Near-surface chlorophyll-a (µg/L)S
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