Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta

Identification and risk prediction of potentially contaminated sites (PCS) are crucial for the management of contaminated sites. However, the identification and risk prediction methods of PCS are lacking at a regional scale. Here, we established the fuzzy matching algorithm based on the site's...

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Veröffentlicht in:	The Science of the total environment Jg. 815; S. 151982
Hauptverfasser:	Jiang, Yefeng, Huang, Mingxiang, Chen, Xueyao, Wang, Zhige, Xiao, Liujun, Xu, Kang, Zhang, Shuai, Wang, Mingming, Xu, Zhe, Shi, Zhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.04.2022
Schlagworte:	algorithms China environment Environmental Monitoring Environmental Pollution geography Identification land use local government pollution control Potentially contaminated sites prediction risk Risk prediction Risk probability zoning risk reduction river deltas Rivers simulation models socioeconomics Yangtze River Yangtze River Delta China Yangtze River Risk prediction Identification Yangtze River Delta Risk probability zoning Potentially contaminated sites
ISSN:	0048-9697, 1879-1026, 1879-1026
Online-Zugang:	Volltext
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