Identifying potentially contaminated areas with MaxEnt model for petrochemical industry in China.

ABSTRACT: The presence of heavy metal and organic pollutants in wastewater effluents, flue gases, and even solid wastes from petrochemical industries renders improper discharges liable to posing threats to the ecological environment and human health. It is beneficial for pollution control to find out the regional distribution of contaminated sites. This study explored the relationship between the petrochemical contaminated areas and natural, socio-economic, and traffic factors. Ten indicators were selected as input variables, and the MaxEnt model was conducted to identify the potentially contaminated areas. Moreover, among these 10 variables, the factors that have the great impact on the results were determined according to the contribution of variables. The results showed that the MaxEnt model perf

SUBMITTER: Wang M 

PROVIDER: S-EPMC8931184 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature