An improved SWAT for predicting manganese pollution load at the soil-water interface in a manganese mine area

• Autorzy: Zhang Y. , Ren B. , Hursthouse A.S. , Deng R. , Hou B.
• Języki publikacji: EN

Abstrakty

EN

The prediction of heavy metal pollution load at the soil-water interface of a mining area was studied through an improved soil and water assessment tool (SWAT) model. The Red Flag Mining Area of Xiangtan Manganese Mine in Hunan Province, China, was selected as the research district. GPS, ARCGIS, RS technology, and field experiments were employed in this study. A modified one-dimensional migration model was embedded in the sediment migration source module of SWAT in order to establish an Improved SWAT model for the prediction of manganese pollution load at the soil-water interface. The key pollution areas identified by the improved model were consistent with actual mine pollution, with the Nash-Sutcliffe efficiency Ens and regression R² coefficients of 0.88 and 0.91, respectively. The study would provide the theoretical foundation and scientific basis for management and repair at the site.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2018
• Tom: 27
• Numer: 5
• Opis fizyczny: p.2357-2365,fig.,ref.

Twórcy

autor

Zhang Y.

• Hunan Provincial Key Laboratory of Shale Gas Resource Exploitation, Xiangtan, China
• School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Ren B.

• Hunan Provincial Key Laboratory of Shale Gas Resource Exploitation, Xiangtan, China
• School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Hursthouse A.S.

• Hunan Provincial Key Laboratory of Shale Gas Resource Exploitation, Xiangtan, China
• School of Science and Sport, University of the West of Scotland, Paisley, United Kingdom

autor

Deng R.

• Hunan Provincial Key Laboratory of Shale Gas Resource Exploitation, Xiangtan, China
• School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Hou B.

• Hunan Provincial Key Laboratory of Shale Gas Resource Exploitation, Xiangtan, China
• School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, China

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Identyfikatory

DOI

10.15244/pjoes/78618