Identification of Major Risk Sources for Surface Water Pollution by Risk Indexes (RI) in the Multi-Provincial Boundary Region of the Taihu Basin, China

International Journal of Environmental Research and Public Health

Weixin Li¹  Xin Qian²  Hong Yao² 

[1] Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection of China, Nanjing 210042, China;State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment,Nanjing University, Nanjing 210023, China;

关键词: risk classification;    major risk sources;    surface water pollution risk;    multi-district boundary region;   

DOI  :  10.3390/ijerph120810150

来源: DOAJ

【 摘 要 】

Environmental safety in multi-district boundary regions has been one of the focuses in China and is mentioned many times in the Environmental Protection Act of 2014. Five types were categorized concerning the risk sources for surface water pollution in the multi-provincial boundary region of the Taihu basin: production enterprises, waste disposal sites, chemical storage sites, agricultural non-point sources and waterway transportations. Considering the hazard of risk sources, the purification property of environmental medium and the vulnerability of risk receptors, 52 specific attributes on the risk levels of each type of risk source were screened out. Continuous piecewise linear function model, expert consultation method and fuzzy integral model were used to calculate the integrated risk indexes (RI) to characterize the risk levels of pollution sources. In the studied area, 2716 pollution sources were characterized by RI values. There were 56 high-risk sources screened out as major risk sources, accounting for about 2% of the total. The numbers of sources with high-moderate, moderate, moderate-low and low pollution risk were 376, 1059, 101 and 1124, respectively, accounting for 14%, 38%, 5% and 41% of the total. The procedure proposed could be included in the integrated risk management systems of the multi-district boundary region of the Taihu basin. It could help decision makers to identify major risk sources in the risk prevention and reduction of surface water pollution.

【 授权许可】

Unknown