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孙溢点(博士生)、张万顺的论文在JOURNAL OF ENVIRONMENTAL SCIENCES刊出
发布时间:2024-03-21 10:23:50     发布者:易真     浏览次数:

标题: Development of a coupled model to simulate and assess arsenic contamination and impact factors in the Jinsha River Basin, China

作者: Sun, YD (Sun, Yidian); Zhang, X (Zhang, Xu); Peng, H (Peng, Hong); Zhou, WT (Zhou, Wenting); Jiang, AN (Jiang, Anna); Zhou, F (Zhou, Feng); Wang, H (Wang, Hao); Zhang, WS (Zhang, Wanshun)

来源出版物: JOURNAL OF ENVIRONMENTAL SCIENCES : 147 : 50-61 DOI: 10.1016/j.jes.2023.09.0381001-0742 出版年: JAN 2025

摘要: With the increasing severity of arsenic (As) pollution, quantifying the environmental behavior of pollutant based on numerical model has become an important approach to determine the potential impacts and finalize the precise control strategies. Taking the industrialintensive Jinsha River Basin as typical area, a two-dimensional hydrodynamic water quality model coupled with Soil and Water Assessment Tool (SWAT) model was developed to accurately simulate the watershed -scale distribution and transport of As in the terrestrial and aquatic environment at high spatial and temporal resolution. The effects of hydro -climate change, hydropower station construction and non -point source emissions on As were quantified based on the coupled model. The result indicated that higher As concentration areas mainly centralized in urban districts and concentration slowly decreased from upstream to downstream. Due to the enhanced rainfall, the As concentration was significantly higher during the rainy season than the dry season. Hydro -climate change and the construction of hydropower station not only affected the dissolved As concentration, but also affected the adsorption and desorption of As in sediment. Furthermore, As concentration increased with the input of non -point source pollution, with the maximum increase about 30%, resulting that non -point sources contributed important pollutant impacts to waterways. The coupled model used in pollutant behavior analysis is general with high potential application to predict and mitigate water pollution. (c) 2024 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.

作者关键词: Watershed system; Arsenic; Modeling; Distribution; Hydro-climate change; Non-point source pollution

地址: [Sun, Yidian; Zhang, Xu; Jiang, Anna; Zhou, Feng; Wang, Hao; Zhang, Wanshun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Peng, Hong; Zhou, Wenting] Wuhan Univ, Sch Water Conservancy & Hydropower Engn, Wuhan 430072, Peoples R China.

[Wang, Hao] China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China.

[Zhang, Wanshun] Wuhan Univ, Sch Water Resources & Hydropower, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China.

通讯作者地址: Zhang, WS (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Zhang, WS (通讯作者)Wuhan Univ, Sch Water Resources & Hydropower, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China.

电子邮件地址: wszhang@whu.edu.cn

影响因子:6.9


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