—Water source areas are vulnerable to human’s development. It is necessary to identify the risk of water pollution sources in water sources areas with a large number of industrial and agricultural enterprises. An identification model based on entropy weight method and K-Means clustering analysis was proposed to identify the level of risk of water pollution sources in the water sources are a qualitatively. Then the model was used in the case study Danjiangkou reservoir which is the water source of Middle Route of the South-to-North Water Diversion Project in China. The results show that there are nine industrial samples and two agricultural samples in the relatively high risk level which could engender high risk of water pollution to the Danjiangkou reservoir. In the end, suggestions are proposed to facilitate the management for water resources and environmental departments.
—Clustering analysis, Danjiangkou reservoir, risk identification, water pollution.
Lian Sun and Chunhui Li are with the School of Environment, Beijing Normal University, Beijing 100875 China (e-mail: email@example.com, firstname.lastname@example.org, chunhuili@ bnu.edu.cn).
Junxiang Jia was with Beijing Normal University. She is now with the Minister of Water Resources, Beijing 100053 China (e-mail: email@example.com).
Meng Xu is with the School of Urban/Rural Planning andManagement of Zhejiang University of Finance and Economics, Hangzhou 310018 China.
Cite: Lian Sun, Meng Xu, Junxiang Jia, and Chunhui Li, "Risk Identification of Water Pollution Sources in Water Source Areas of Middle Route of the South-to-North Water Diversion Project," International Journal of Environmental Science and Development vol. 7, no. 8, pp. 576-580, 2016.