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Applying AQUATOX in determining the ecological risk assessment of polychlorinated biphenyl contamination in Baiyangdian Lake, North China

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  • Zhang, Lulu
  • Liu, Jingling
  • Li, Yi
  • Zhao, Yanwei

Abstract

There is a growing interest in the application of ecological models to improve the ecological risk assessment (ERA) of toxicants. For this study, the AQUATOX model was implemented using 18 pelagic and benthic populations derived from field data obtained at Baiyangdian Lake between April 2009 and March 2010. The model was evaluated to examine its utility in assessing the ecological risk of polychlorinated biphenyl (PCB) contamination in aquatic ecosystems. Model parameters were calibrated to simulate the complex seasonal patterns of Baiyangdian Lake biomass populations. Sensitivity analysis revealed the potential importance of indirect effects and demonstrated the vital role of parameter values in determining the biomass of each trophic level. The model was highly sensitive to parameters related to temperature limitations and respiration rates. Moreover, it was effective in estimating risks associated with the direct toxic PCB effects of each population and the indirect ecological effects distributed through the coupled pelagic–benthic food web. Benchmarks derived from AQUATOX-Baiyangdian were approximately one order of magnitude less than the benchmarks derived from NOEC in a report by the United States of America's Environmental Protection Agency (EPA). Comparison analysis determined the model could provide a good basis in ascertaining ecological protection levels of “chemicals of concern” for aquatic ecosystems. Furthermore, AQUATOX can potentially be used to provide necessary information corresponding to early warning and rapid forecasting of pollutant transport and fate in the management of chemicals that put aquatic ecosystems at risk.

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  • Zhang, Lulu & Liu, Jingling & Li, Yi & Zhao, Yanwei, 2013. "Applying AQUATOX in determining the ecological risk assessment of polychlorinated biphenyl contamination in Baiyangdian Lake, North China," Ecological Modelling, Elsevier, vol. 265(C), pages 239-249.
    • Handle: RePEc:eee:ecomod:v:265:y:2013:i:c:p:239-249
    DOI: 10.1016/j.ecolmodel.2013.06.003
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    References listed on IDEAS

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    1. Rashleigh, Brenda & Barber, M. Craig & Walters, David M., 2009. "Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA," Ecological Modelling, Elsevier, vol. 220(2), pages 254-264.
    2. Park, Richard A. & Clough, Jonathan S. & Wellman, Marjorie Coombs, 2008. "AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 1-15.
    3. Zhang, L.L. & Liu, J.L. & Yang, Z.F. & Li, Y. & Yang, Y., 2013. "Integrated ecosystem health assessment of a macrophyte-dominated lake," Ecological Modelling, Elsevier, vol. 252(C), pages 141-152.
    4. Xu, F. & Yang, Z.F. & Chen, B. & Zhao, Y.W., 2011. "Ecosystem health assessment of the plant-dominated Baiyangdian Lake based on eco-exergy," Ecological Modelling, Elsevier, vol. 222(1), pages 201-209.
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    Cited by:

    1. Zeng, Yong & Yang, Wei & Zhao, Yanwei, 2022. "Ecological impact of polycyclic aromatic hydrocarbons on Baiyangdian Lake based on an ecosystem model," Ecological Modelling, Elsevier, vol. 472(C).
    2. Niu, Zhiguang & Gou, Qianqian & Wang, Xiujun & Zhang, Ying, 2016. "Simulation of a water ecosystem in a landscape lake in Tianjin with AQUATOX: Sensitivity, calibration, validation and ecosystem prognosis," Ecological Modelling, Elsevier, vol. 335(C), pages 54-63.
    3. Zhang, Lulu & Cui, Jiansheng & Song, Tiance & Liu, Yong, 2018. "Application of an AQUATOX model for direct toxic effects and indirect ecological effects assessment of Polycyclic aromatic hydrocarbons (PAHs) in a plateau eutrophication lake, China," Ecological Modelling, Elsevier, vol. 388(C), pages 31-44.
    4. Hu, Wen & Li, Chun-hua & Ye, Chun & Wang, Ji & Wei, Wei-wei & Deng, Yong, 2019. "Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    5. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    6. Yan, Jinxia & Liu, Jingling & You, Xiaoguang & Shi, Xuan & Zhang, Lulu, 2018. "Simulating the gross primary production and ecosystem respiration of estuarine ecosystem in North China with AQUATOX," Ecological Modelling, Elsevier, vol. 373(C), pages 1-12.

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