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Development of a coupled model to simulate and assess arsenic contamination and impact factors in the Jinsha River Basin, China.
Sun, Yidian; Zhang, Xu; Peng, Hong; Zhou, Wenting; Jiang, Anna; Zhou, Feng; Wang, Hao; Zhang, Wanshun.
Afiliação
  • Sun Y; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
  • Zhang X; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
  • Peng H; School of Water Conservancy and Hydropower Engineering, Wuhan University, Wuhan 430072, China.
  • Zhou W; School of Water Conservancy and Hydropower Engineering, Wuhan University, Wuhan 430072, China.
  • Jiang A; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
  • Zhou F; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
  • Wang H; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China; China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
  • Zhang W; School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China; School of Water Resources and Hydropower, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China. Electronic address: wszhang@whu.edu.cn.
J Environ Sci (China) ; 147: 50-61, 2025 Jan.
Article em En | MEDLINE | ID: mdl-39003066
ABSTRACT
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 industrial-intensive 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Monitoramento Ambiental / Rios Idioma: En Ano de publicação: 2025 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Monitoramento Ambiental / Rios Idioma: En Ano de publicação: 2025 Tipo de documento: Article