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Proceedings - Teaching and Learning Centre - Simon Fraser ...

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<strong>Fraser</strong> River Action Plan 3rd Research Workshop<br />

Modelling the Fate of Contaminant Discharges in the <strong>Fraser</strong> River Basin<br />

F.A.P.C. Gobas<br />

School of Resource <strong>and</strong> Environmental Management<br />

<strong>Simon</strong> <strong>Fraser</strong> University<br />

Abstract<br />

The objective of this project was to develop <strong>and</strong> test a simulation model of the environmental <strong>and</strong> ecological fate<br />

of organic chemical discharges in the <strong>Fraser</strong>-Thompson River basin. The main purpose of this model was to:<br />

1. assess <strong>and</strong> verify the impacts of discharge of contaminants in the <strong>Fraser</strong> River from single <strong>and</strong> multiple<br />

sources <strong>and</strong> the resulting concentrations of these substances in water, sediments, benthic invertebrates<br />

<strong>and</strong> fish throughout the <strong>Fraser</strong> River basin as a function of time <strong>and</strong> during different seasons in the year;<br />

2. determine whether existing contaminant loadings from point <strong>and</strong> non-point sources will meet<br />

environmental quality guidelines <strong>and</strong> st<strong>and</strong>ards <strong>and</strong> human consumption guidelines within the <strong>Fraser</strong>-<br />

Thompson River basin;<br />

3. recommend targets for remediation on a whole-basin basis;<br />

4. aid in the interpretation of data collected in monitoring programs;<br />

5. establish guidelines with regards to the experimental design of contaminant <strong>and</strong> environmental effects<br />

monitoring (EEM) programs within the basin;<br />

6. assess the time response of the contaminant concentrations throughout the <strong>Fraser</strong> River basin to changes<br />

in contaminant emissions under various loading scenarios; <strong>and</strong>,<br />

7. identify data gaps <strong>and</strong> targets for research.<br />

Summary<br />

• We developed <strong>and</strong> tested a novel <strong>and</strong> truly time-dependent food chain bioaccumulation model, which, as<br />

far as we know, is the first truly time-dependent food chain bioaccumulation model for contaminants. In<br />

contrast to our earlier model, this new model is able to simulate the effect of seasonal <strong>and</strong> life-time<br />

changes in organism weight, lipid content <strong>and</strong> diet composition of fish <strong>and</strong> benthic invertebrate species.<br />

Each generation or age-class of organisms is now treated independently. This makes it possible to:<br />

(i) stimulate changes in chemical concentrations that occur seasonally <strong>and</strong> throughout the life-span<br />

of the organisms;<br />

(ii) compare contaminant levels between age-classes since several generations coexist at one time;<br />

<strong>and</strong>,<br />

(iii) represent inter-generational transfer of contaminants between adults <strong>and</strong> their respective offspring.<br />

• We compiled new data regarding the growth rates, changes in lipid content <strong>and</strong> age-dependent feeding<br />

behaviour for Rocky Mountain whitefish, rainbow trout <strong>and</strong> large-scale sucker in the <strong>Fraser</strong> <strong>and</strong><br />

Thompson rivers <strong>and</strong> in Kamloops Lake. These data are used to build the food chain bioaccumulation<br />

model.<br />

• A new algorithm for simulating dietary uptake is included in the bioaccumulation model based on studies<br />

described in Gobas et al., 1993.<br />

• Emission records of 2,3,7,8-tetrachlorodibenzo-p-dioxin <strong>and</strong> 2,3,7,8-tetrachlorodibenzofuran from five<br />

pulp <strong>and</strong> paper mills were compiled. Effluent concentrations were multiplied by the reported average<br />

Page 43

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