Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan, China

• Published in: The Science of the total environment Vol. 557-558; pp. 307 - 316
• Main Authors: Li, Chunhui, Sun, Lian, Jia, Junxiang, Cai, Yanpeng, Wang, Xuan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2016
• Subjects: agricultural industry; business enterprises; China; Cluster Analysis; Danjiangkou Reservoir; entropy; Environmental Monitoring - methods; k-means clustering; Models, Theoretical; risk; Risk assessment; Risk Assessment - methods; Set pair analysis (SPA); Water Pollutants, Chemical - analysis; water pollution; Water Pollution - statistics & numerical data; water potential; water reservoirs; Water Supply - statistics & numerical data; China, People's Rep., Hubei Prov., Danjiangkou Reservoir; China, People's Rep; China; k-means clustering; Danjiangkou Reservoir; Set pair analysis (SPA); Risk assessment

Source water areas are facing many potential water pollution risks. Risk assessment is an effective method to evaluate such risks. In this paper an integrated model based on k-means clustering analysis and set pair analysis was established aiming at evaluating the risks associated with water polluti...