环境科学
表土
分摊
污染
煤
环境化学
空间分布
土壤污染
环境工程
主成分分析
沉积(地质)
污染
土壤水分
土壤科学
化学
地质学
生态学
生物
沉积物
古生物学
人工智能
有机化学
法学
遥感
计算机科学
政治学
作者
Yanchao Bai,Yuhan Zhang,Xu Liu,Youqi Wang
标识
DOI:10.1007/s12665-023-11192-8
摘要
Abstract Environmental pollution of heavy metals in the typical coal industrial city should be paid more attentions nowadays. The spatial distribution and source apportionment of 8 heavy metals (i.e., Cd, Cr, Co, Zn, Ni, Cu, Pb and Mn) from topsoil samples (158) of Shizuishan city in Ningxia Hui Autonomous Region of China were investigated using principal component analysis/absolute principal component scores (PCA/APCS) receptor model and geographic information system (GIS). These results showed that the mean concentrations of Cd, Cr, Co, Zn, Ni, Cu and Pb were higher than their soil background values in Ningxia. 99.36% of soil samples were heavily polluted according to analysis of integrated Nemerow pollution index ( P N ), whereas 81.65% of soil samples exhibited the highly strong potential ecological risk by E RI (the comprehensive of potential ecological risk index) values. The source apportionment results showed that eight heavy metals in soil were mainly from natural (32.39%), industrial (26.56%), traffic emission/coal consumption (20.18%) and atmospheric deposition source (12.73%). Typically, Zn, Mn and Ni were derived from natural source, whereas Cr and Co were mainly derived from industrial sources. Cu was from the multiple sources, whereas Pb and Cd were weighted primarily from traffic emission/coal consumption source and atmospheric deposition source, respectively. These findings were crucial for the prevention and control of heavy metals pollution in Shizuishan city.
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