[Spatial Differentiation and Influencing Factor Analysis of Soil Heavy Metal Content at Town Level Based on Geographic Detector].

• DOI: 10.13227/j.hjkx.202112077
• Publication Date: 2022-10-08
• Authors: Cang Gong; Liang Wang; Shunxiang Wang; Zhixiang Zhang; Hang Dong; Jiu-Fen Liu; De-Wei Wang; Buqing Yan; Ying Chen
• Keywords: Topsoil; Enrichment factor; Soil test

Geographic detectors can quickly detect spatial stratified heterogeneity and quantitatively reveal the intensity of driving factors heavy metal content, which is great significance for prevention, control, remediation soil pollution. In order to differentiation influencing content on town-scale, 788 topsoil samples were collected from a town in hinterland Chengdu Plain. Soil (Cd, Hg, As, Cu, Pb, Cr, Zn, Ni) pollution risk assessments carried out by using geo-accumulation index method. Additionally, based geographic detector model, 15 such as properties, topography, forming factors, distance taken independent variables, contents each element dependent variables explore soils. The results showed that:the average Ni, Zn study area 1.06-1.93 times background value Chengdu, Cd was lower than value; among them, Hg reached light level, other seven metals at non-pollution level. distribution eight significantly different, correlation elements significant, significant found between most meals with properties; however, factor topographic relatively weak. detection that TP, TK, pH, TOC, elevation, railway had explanatory power contents. Interaction interaction properties dominant variation metals, residential area, railways, industrial areas also important factors. Risk difference subregion elevation railway, whereas sub-regions properties. varied closely related human activities area.