龙口市污灌区重金属污染影响因子分析  

Analysis of the influence factors of heavy metal pollution in sewage irrigation area of Longkou city

作　　者：刘建华 顾振飞 曹见飞 徐明雪 王翠秀 吴泉源 LIU Jianhua;GU Zhenfei;CAO Jianfei;XU Mingxue;WANG Cuixiu;WU Quanyuan(College of Geography and Environment,Shandong Normal University,Jinan Shandong 250358;Zhiwei Corporation,Quanzhou Fujian 362200)

机构地区：[1]山东师范大学地理与环境学院,山东济南250358 [2]伟志股份公司,福建泉州362200

出　　处：《环境污染与防治》2022年第4期448-453,共6页Environmental Pollution & Control

基　　金：国家自然科学基金资助项目(No.41371395);山东省重点研发计划项目(No.2019GSF109034)。

摘　　要：在龙口市污灌区采集70个土壤样品测定Cr、Ni、Pb、Zn、Cu、Co、As和Cd含量,利用富集因子法分析各重金属的空间分布情况,采用地理探测器模型评估7个影响因子对重金属空间分布的影响及各影响因子间的交互作用。结果表明:(1)Cu、Pb、Zn、As、Cd的富集程度较大,Co、Cr、Ni富集程度较低,8种重金属富集系数分布具有相似性,主要受到工业园区、煤矿区、农作种植等的影响;(2)7种影响因子中,工业密度对重金属污染的平均解释力最大,其次为土壤有机质和土壤母质,但不同重金属的主要影响因子存在不同;(3)影响因子交互作用分析表明,不同影响因子之间存在着不同程度的非线性增强作用,污灌区重金属污染是多种影响因子共同作用的结果;(4)与Pearson相关系数法相比,地理探测器模型可以更加全面地评价各影响因子的贡献及其之间的相互作用,尤其在检测潜在影响因子间的非线性关系中具有一定优势。70 surface soil samples were collected in sewage irrigation area of Longkou city,the contents of 8 heavy metals,including Cr,Ni,Pb,Zn,Cu,Co,As and Cd,in soil samples were determined,the spatial distribution of heavy metals were analyzed by enrichment factors method,and the effect of 7 influencing factor on the spatial distribution of heavy metal pollution as well as their interactions were evaluated by geographic detector model.The results showed that:(1)Cu,Pb,Zn,As and Cd had larger enrichment degree,while the enrichment degree of Co,Cr and Ni was relative low.The enrichment factor distribution of 8 heavy metals were similar,they were mainly influenced by the factors of industrial park,coal mine area and farming planting.(2)Among the 7 influence factors,industrial density had greater average explanatory power for heavy metals pollution,the next ones were soil organic matter and parent material of soil.The main influence factors for different heavy metals were different.(3)The interaction analysis of influence factors showed that different influence factors existed a nonlinear enhancement effect of different degree,the heavy metal pollution in sewage irrigation area was the result of combined action of various factors.(4)Compared with Pearson correlation index method,geographical detector could comprehensively analyze the contribution of various influencing factors and their interactions,it exhibited certain advantages especially in the detection of the nonlinear relationship between influence factors.

关 键 词：污灌区 重金属 富集因子 地理探测器模型 Pearson相关系数 

分 类 号：X53[环境科学与工程—环境工程]