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McKay, Donald. "Front matter" Multimedia Environmental Models ...

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8.5.3 Model<br />

The Sediment model is available from the website in Windows- and DOS-based<br />

versions. Input data are requested on the properties of the chemical, the dimensions<br />

and properties of the media, and the prevailing concentrations. The Z and D values<br />

are calculated, followed by fugacities and fluxes. It is also of interest to calculate<br />

the overall steady-state mass balance, which is given by<br />

©2001 CRC Press LLC<br />

f W (D D + D T) = f S (D R + D T + D B + D S)<br />

The steady-state water and sediment fugacities corresponding to the defined sediment<br />

and water fugacities are deduced. Response times can be calculated for each medium<br />

if the volumes are known.<br />

It is noteworthy that, for a persistent, hydrophobic substance, it is likely that the<br />

steady-state sediment fugacity will exceed that of the water. The principal loss<br />

process of a persistent chemical from the sediment is likely to be D R, which must<br />

be less than D D, because some sediment is buried, and the organic carbon content<br />

of the resuspended material will be less than the deposited material because of<br />

mineralization. As a result, a benthic organism that respires sediment pore water<br />

may reach a higher fugacity and concentration than a corresponding organism in<br />

the water column above. A compelling case can be made for monitoring benthic<br />

organisms, because they are less mobile than fish and they are likely to build up<br />

higher tissue concentrations of contaminants.<br />

These sediment-water calculations can be invaluable for estimating the rate at<br />

which “in-place” sediment concentrations, resulting from past discharges of persistent<br />

substances, are falling. Often, the memory of past stupidities lingers longer in<br />

sediments than in the water column.<br />

8.6 QWASI MODEL OF CHEMICAL FATE IN A LAKE<br />

8.6.1 Introduction<br />

Having established air-water and sediment-water exchange models, it is relatively<br />

straightforward to combine them in a lake model by adding reaction and advective<br />

inflow and outflow terms. The result is the QWASI (Quantitative Water Air Sediment<br />

Interaction) model of Mackay et al. (1983), which was applied to Lake Ontario<br />

(Mackay, 1989). Other reports include an application to a variety of chemicals by<br />

Mackay and Diamond (1989), to organochlorine chemicals produced by the pulp<br />

and paper industry by Mackay and Southwood (1992), the use of spreadsheets to<br />

aid fitting parameter values to the model (Southwood et al., 1989), to situations in<br />

which surface microlayers are important (Southwood et al., 1999), and to metals by<br />

Woodfine et al. (2000). Mackay et al. (1994) took the QWASI fugacity model and<br />

replaced all fugacities by C/Z and all Z values by partition coefficients, then converted<br />

all D values to rate constants. This “new” model, called the “rate constant”<br />

model, gives identical results and is suitable for use by people who are too lazy to

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