农业工程学报2024，Vol.40Issue(4)：224-234,11.DOI:10.11975/j.issn.1002-6819.202310005
基于UNMIX模型和多元地统计模拟的土壤重金属的来源解析及空间预测
Sources apportionment and spatial prediction of soil heavy metal pollution using UNMIX model and multivariate statistical simulation
摘要
Abstract
This study aims to understand the sources and pollution of soil heavy metals.Taking Taicang City,Jiangsu Province as an example,the soil surface samples were collected to conduct the heavy metal content analysis.A novel receptor(UNMIX)model was selected to analyze the source and contribution of soil heavy metals.Geoaccumulation index and multivariate geostatistical techniques were used to quantitatively evaluate for the spatial prediction of heavy metal pollution.The results showed that:(1)The contents of As,Cd,Cr,Cu,Hg,Ni,and Zn were relatively high,exceeding the background values of soil heavy metals in the study area.The enrichment degree of Cd,Cu,Hg,Pb,and Zn was relatively high,while there were the normal enrichment coefficients of As,Cr,and Ni similar to the natural basic level.Except for Cr,the average content of the rest heavy metal elements exceeded the background values of soil heavy metals.The coefficients of variation for Cu and Zn were 0.60 and 0.64,respectively,indicating a high level of variation and a high skewness state.(2)The distribution trend of As and Pb gradually increased from west to east,with the highest content in Chengxiang and Ludu towns.The soil was mainly developed from basalt and metamorphic rocks,containing a certain amount of Ni element.There was the similar pattern of Cd,Cr,Cu,and Zn spatial distribution,where the high value areas were located in Shuangfeng Town and Chengxiang Town in the southwest.Overall,the high and low value areas of the eight heavy metal elements were distributed alternately with the island-like spatial feature,indicating the negative effects of human activities on the soil environment.(3)Soli heavy metals were comprehensively affected by transportation-industrial,natural-agricultural,industrial-natural,and agricultural-industrial sources,with the contribution rates of 35.18%,27.32%,20.26%,and 17.24%,respectively.Among them,Hg,Pb,Ni,Cu,and Zn were mainly from transportation-industrial sources,Cr,Zn,and Cu were from natural-agricultural sources,As and Ni were from industrial-natural sources,and Cd was from agricultural-industrial sources.(4)The ground accumulation index of Hg was ranked first among all elements with a mean of 1.12.A high degree of artificial accumulation of Hg was greatly influenced by non-natural factors.The elements with a ground accumulation index greater than 0 were Ni and Cd,with values of 0.68 and 0.42,respectively.The pollution levels of As,Cu,and Zn were in the middle.The soil condition was less affected by Cr and Pb.(5)The pollution areas of Ni,Cu,and Hg were the largest,reaching 107.42,75.56,and 55.02 km2 respectively.The area of Cd pollution was 342 km2(accounting for 8.6%of the total area)that distributed in industrial,tailings surrounding,and urban suburbs.The potential pollution space was distributed in patches,which should be given more attention.At the same time,it was also necessary to strictly prevent the expansion of Cr and Pb pollution space.This soil investigation can provide the scientific basis for the soil environmental management and heavy metal pollution remediation.关键词
土壤/重金属/UNMIX模型/来源解析/空间预测/太仓市Key words
soils/heavy metal/UNMIX model/source apportionment/spatial prediction/Taicang City分类
资源环境引用本文复制引用
杨清可,王磊,李平星,吕立刚,范业婷,朱高立,王雅竹..基于UNMIX模型和多元地统计模拟的土壤重金属的来源解析及空间预测[J].农业工程学报,2024,40(4):224-234,11.基金项目
国家自然科学基金项目(42371191,42377488) （42371191,42377488）
中国科学院南京地理与湖泊研究所自主部署项目(NIGLAS2022GS06) （NIGLAS2022GS06）
南京财经大学校级科研课题一般项目(XKYC3202304) （XKYC3202304）
自然资源部碳中和与国土空间优化重点实验室开放基金项目(CNTO-KFJJ-202305) （CNTO-KFJJ-202305）
