RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2017, Vol. 26 >> Issue (05): 713-722.doi: 10.11870/cjlyzyyhj201705008

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DIFFERENTIATING SPATIAL COUNTERMEASURE ORIENTED TO NON-POINT SOURCE POLLUTION RISK IN PLAIN RIVER NETWORK REGION

FU Yong-hu1,2, LIU Li-ming2, REN Guo-ping2, LIU Zhao-xu2, GUO Yun2, YE Jin-wei2   

  1. 1. Law School, Huaihai Institute of Technology, Lianyungang 222005, China;
    2. College of Resources and Environment, China Agricultural University, Beijing 100193, China
  • Received:2016-11-05 Revised:2017-01-12 Online:2017-05-20
  • Supported by:
    National Natural Science Foundation (41130526);Huaihai Institute of Technology Research Fund (S2016005)

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Abstract: Land-use optimization and spatial countermeasures are of great significance to control of non-point source pollution and improvement of water quality. In this paper, the gray linear programming method (GLP) and a minimum cumulative resistance model (MCR) were coupled to carry on risk control of non-point source pollution. (1) Taking the economic and ecological service value as the objective function, the gray linear programming model was built for the land use structure optimization at the regional scale. (2) The spatial zoning and countermeasure oriented to non-point source pollution risk control was discussed based on theMCR model. The Qingpu District located in the Taihu Lake Basin in a plain river network region was selected as a study case for this approach. The results showed that the Qingpu District could be divided into five parts, i.e., the delimiting water conservation zone, the key protection area of water resources, the general non-point source pollution control zone, the medium non-point source pollution control zone, and the core non-point source pollution control zone. According to the results of spatial-division, the specific countermeasures were put forward to lower the environmental risk. The annual load of total nitrogen will be reduced by 10.96%, and the load reduction of total phosphorus will be 41.33%. The economic benefits will be 46.13 billion yuan in 2020. Compared with 2012, the economic benefit will increase by 28.12%. In order to ameliorate the ecological environment and promoting the local social and economic development in area, land-use optimization and spatial zoning regulation mechanism were effective approach in risk control of non-point source pollution.

Key words: non-point source pollution, gray linear programming, minimum cumulative resistance model, differentiating spatial countermeasure, Qingpu District

CLC Number: 

  • F301.21
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