title: Multivariate analysis combined with GIS to source identification of heavy metals in soils around an abandoned industrial area, Eastern China.
abstract: Heavy metals in soils polluted by industrial production are a meaningful topic worldwide. The purpose of this study is to understand the pollution status and spatial distribution of heavy metals in soils. The result can help decision-makers apportion possible soil heavy metals sources and formulate effective pollution control policies. In this paper, 155 soil samples (0-20 cm) were collected and analyzed for eight heavy metals (Cd, Hg, As, Cu, Pb, Cr, Zn, and Ni) from an abandoned industrial area of Tong County, located in Jiangsu Province of Eastern China. The multivariate analysis (including I(geo), Ei/RI, EF, PCA, and CA) and geostatistics (GIS) were used to assess the enrichment level and pollution level of soil heavy metals and identify their sources. The results indicated that eight heavy metals in soils had moderate variations, with CVs ranging from 19.63 to 63.34%. The pollution level of I(geo) of soil heavy metals decreased in the order of Cd~Zn > Cu > Hg~As~Pb~Cr~Ni. The enrichment level of soil heavy metals decreased in the order of Cd > Zn > Hg > Cu > Pb > Ni > As > Cr. According to the Ei, except Cd and Hg were in the significant and moderate ecological risk levels respectively, other soil heavy metals were in the clean or light ecological risk levels, the level of potential ecological risk (RI) of the whole industrial area was moderate. Finally, the source identification of soil heavy metals indicated that Cd and Zn were primarily controlled by human activities, and Hg and Cu were controlled by natural and anthropogenic sources, and As, Pb, Cr, and Ni were mainly controlled by soil parent materials.
authors.affiliation: College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou, 225002, China. jet.chow@hotmail.com.
authors.forename: Jie
authors.initials: J
authors.lastname: Zhou
authors.affiliation: College of Environmental Science & Engineering, Yangzhou University, Yangzhou, 225008, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Feng
authors.affiliation: School of Environmental Science & Spatial Informatics, China University of Mining & Technology, Xuzhou, 221116, China.
authors.forename: Zongping
authors.initials: Z
authors.lastname: Pei
authors.affiliation: College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou, 225002, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Meng
authors.affiliation: College of Chemistry & Chemical Engineering, Yangzhou University, Yangzhou, 225002, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Sun
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D019216:Metals, Heavy / Q000032:analysis*; D015999:Multivariate Analysis; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D019216:Metals, Heavy; D012989:Soil Pollutants
keywords: Heavy metal; Multivariate analysis; Soil pollution; Source identification; Spatial distribution