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Measuring and Modeling the Effect of...
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University of Maryland, Baltimore County.
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains./
作者:
Fadaei Khoei, Hilda.
面頁冊數:
1 online resource (247 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
標題:
Environmental engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355542875
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains.
Fadaei Khoei, Hilda.
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains.
- 1 online resource (247 pages)
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Thesis (Ph.D.)--University of Maryland, Baltimore County, 2017.
Includes bibliographical references
The primary goal for remediation of sediments contaminated with polychlorinated biphenyls (PCBs) is the reduction of bioaccumulation in the aquatic food web, particularly in fish that is the source of exposure to top level predators and humans. While empirical results are available in the literature on bioavailability reductions after amendment of PCB-contaminated sediment with a strong sorbent like activated carbon (AC) or biochar, there is a lack of quantitative understanding on how reductions in sediment porewater and food concentrations impact accumulation in fish. Although passive sampling can measure freely dissolved concentrations accurately, there is a major gap in the utilization of fate and biouptake models that can use such measurements. In addition, well-calibrated partitioning models based on accurate freely dissolved concentrations that can predict uptake by pelagic organisms are lacking. The primary objective of this research was to test the ability of frequently used bioaccumulation models to predict changes in fish uptake upon amendment of AC sediment and use passive sampling inputs and additional studies to refine the predictions made by these bioaccumulation models.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355542875Subjects--Topical Terms:
557376
Environmental engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains.
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Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
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The primary goal for remediation of sediments contaminated with polychlorinated biphenyls (PCBs) is the reduction of bioaccumulation in the aquatic food web, particularly in fish that is the source of exposure to top level predators and humans. While empirical results are available in the literature on bioavailability reductions after amendment of PCB-contaminated sediment with a strong sorbent like activated carbon (AC) or biochar, there is a lack of quantitative understanding on how reductions in sediment porewater and food concentrations impact accumulation in fish. Although passive sampling can measure freely dissolved concentrations accurately, there is a major gap in the utilization of fate and biouptake models that can use such measurements. In addition, well-calibrated partitioning models based on accurate freely dissolved concentrations that can predict uptake by pelagic organisms are lacking. The primary objective of this research was to test the ability of frequently used bioaccumulation models to predict changes in fish uptake upon amendment of AC sediment and use passive sampling inputs and additional studies to refine the predictions made by these bioaccumulation models.
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Results from laboratory exposure studies with pelagic and benthic feeding fish indicate that by incorporating changes in porewater and overlying freely dissolved PCB concentrations in kinetic bioaccumulation models and by taking into account changes in food concentration it is possible to predict effectiveness of sediment remediation in reducing PCB uptake in fish. Assimilation efficiency of PCBs in the sediment were independently measured in a separate study and incorporated into the model. The modified model led to reasonable estimations of PCB uptake in the benthic feeding fish and was capable of predicting the dominant exposure pathways in the benthic and pelagic feeding fish as a result of their different feeding behaviour. Additionally, passive sampling measurements were linked to PCB accumulation in algae and zooplankton and resulted in refined models. Lastly, several scenarios were simulated to show the potential of a linked fate and biouptake model to capture the effect of different inputs.
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