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Application of a Spatially Explicit ...

Li, Jingyuan.

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Application of a Spatially Explicit Food Web Bioaccumulation Model to Predict PCB Exposure Sources for Sport Fish in the Detroit River.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of a Spatially Explicit Food Web Bioaccumulation Model to Predict PCB Exposure Sources for Sport Fish in the Detroit River./
Author:	Li, Jingyuan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	123 p.
Notes:	Source: Masters Abstracts International, Volume: 80-12.
Contained By:	Masters Abstracts International80-12.
Subject:	Toxicology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13864520
ISBN:	9781392223536

Application of a Spatially Explicit Food Web Bioaccumulation Model to Predict PCB Exposure Sources for Sport Fish in the Detroit River.
Li, Jingyuan.

Application of a Spatially Explicit Food Web Bioaccumulation Model to Predict PCB Exposure Sources for Sport Fish in the Detroit River. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 123 p.

Source: Masters Abstracts International, Volume: 80-12.

Thesis (M.Sc.)--University of Windsor (Canada), 2019.

This item must not be sold to any third party vendors.

This thesis applied and validated a bioenergetic-based, steady-state food web bioaccumulation model to predict polychlorinated biphenyl (PCB) exposures in benthic invertebrates and sport fish of the Detroit River, a Great Lakes "area of concern" (AOC). First, it examined how model performance is influenced by modification of the proportion of overlying water and sediment porewater respired by benthic invertebrates. The results showed that PCB bioaccumulation measurements are significantly affected by variation in pollutant uptake and elimination routes via the overlying water, which in turn are affected by the degree of disequilibrium of PCBs between sediments and water. The second study evaluated how spatial movements of sport fish impact chemical exposures in the Detroit River. Multiple simulations were performed across different spatial boundaries encompassing the entire Detroit River. Model predictions were compared against 1152 empirical fish sample records that comprised 19 sport fish species. The study demonstrated that a 2-nation model which divided the river lengthwise into Canadian and US jurisdictions as two independent model zones, provided the best global fit for the majority of sport fish data. However, these improvements were not equally observed across species. Outlier species, which had poor prediction by the 2-nation model were separately evaluated to determine if alternate spatial scales provided better predictive accuracy. Finally, the model was calibrated for poorly performing species, which allowed cross-zone exposure. The calibrated model, subsequently, was used to predict jurisdiction sport fish consumption advisories and compared with official advisories issued in Ontario and Michigan for the Detroit River. The study demonstrated the importance of accounting for specific ecological factors, such as fish movement, to improve PCB bioaccumulation prediction, especially in highly heterogeneous water systems.

ISBN: 9781392223536Subjects--Topical Terms:

556884
Toxicology.

Application of a Spatially Explicit Food Web Bioaccumulation Model to Predict PCB Exposure Sources for Sport Fish in the Detroit River.
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520 $a This thesis applied and validated a bioenergetic-based, steady-state food web bioaccumulation model to predict polychlorinated biphenyl (PCB) exposures in benthic invertebrates and sport fish of the Detroit River, a Great Lakes "area of concern" (AOC). First, it examined how model performance is influenced by modification of the proportion of overlying water and sediment porewater respired by benthic invertebrates. The results showed that PCB bioaccumulation measurements are significantly affected by variation in pollutant uptake and elimination routes via the overlying water, which in turn are affected by the degree of disequilibrium of PCBs between sediments and water. The second study evaluated how spatial movements of sport fish impact chemical exposures in the Detroit River. Multiple simulations were performed across different spatial boundaries encompassing the entire Detroit River. Model predictions were compared against 1152 empirical fish sample records that comprised 19 sport fish species. The study demonstrated that a 2-nation model which divided the river lengthwise into Canadian and US jurisdictions as two independent model zones, provided the best global fit for the majority of sport fish data. However, these improvements were not equally observed across species. Outlier species, which had poor prediction by the 2-nation model were separately evaluated to determine if alternate spatial scales provided better predictive accuracy. Finally, the model was calibrated for poorly performing species, which allowed cross-zone exposure. The calibrated model, subsequently, was used to predict jurisdiction sport fish consumption advisories and compared with official advisories issued in Ontario and Michigan for the Detroit River. The study demonstrated the importance of accounting for specific ecological factors, such as fish movement, to improve PCB bioaccumulation prediction, especially in highly heterogeneous water systems.
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