文章摘要
陈文,刘奇,王豹,王晟,刘志宗,张乃明,李博.云南省会泽县某铅锌矿区耕地土壤重金属污染评价及来源解析[J].农业环境科学学报,2024,43(5):1036-1044.
云南省会泽县某铅锌矿区耕地土壤重金属污染评价及来源解析
Evaluation and source analysis of heavy metal pollution in cultivated soil of a lead–zinc mining area in Huize County,Yunnan Province,China
投稿时间:2023-10-26  
DOI:10.11654/jaes.2023-0888
中文关键词: 矿区  耕地土壤  重金属  风险评价  源解析
英文关键词: mining area  cultivated soil  heavy metal  risk assessment  source analysis
基金项目:国家自然科学基金项目(41967024)
作者单位E-mail
陈文 云南农业大学资源与环境学院, 昆明 650201
云南省土壤培肥与污染修复工程研究中心, 昆明 650201 
 
刘奇 云南农业大学资源与环境学院, 昆明 650201
云南省土壤培肥与污染修复工程研究中心, 昆明 650201 
 
王豹 云南农业大学资源与环境学院, 昆明 650201 wangbaofree@sina.com 
王晟 云南农业大学植物保护学院, 昆明 650201
云南省土壤培肥与污染修复工程研究中心, 昆明 650201 
 
刘志宗 云南农业大学资源与环境学院, 昆明 650201
云南省土壤培肥与污染修复工程研究中心, 昆明 650201 
 
张乃明 云南农业大学资源与环境学院, 昆明 650201
云南省土壤培肥与污染修复工程研究中心, 昆明 650201 
 
李博 云南农业大学资源与环境学院, 昆明 650201  
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中文摘要:
      为探究我国典型铅锌矿区耕地土壤重金属污染特征,全面了解其污染水平与重金属污染来源,在云南省重要的有色金属冶炼工业基地会泽县者海镇均匀布设221个采样点,测定土壤中Cd、Pb、Cr、Cu、Zn的含量,利用地累积指数(Igeo)和内梅罗综合污染指数对重金属污染特征进行评价,并在相关性分析的基础上使用绝对主成分-多元线性回归模型(APCS-MLR)与正定矩阵因子分解受体模型(PMF)定量解析重金属来源。结果表明:研究区土壤重金属元素Cd、Pb、Cr、Cu和Zn的含量多数超过云南省土壤背景值。5种元素地累积指数递减趋势为Cd>Zn>Pb>Cu>Cr,元素Cd属于重度污染,在土壤中积累明显。研究区土壤的内梅罗综合污染指数为4.1,处于重度污染水平。源解析结果显示,两种模型源解析结果差异较小,APCS-MLR模型识别出4种污染源及其贡献率:工业和交通源(29.5%)、农业源(31.3%)、母质源(23.7%)和未知源(15.4%);PMF模型识别出4种污染源及其贡献率:工业源(30.0%),母质源(29.2%),交通源(11.9%),农业源(28.9%)。总体来看,PMF模型较APCS-MLR模型更加精细;工农业活动是研究区土壤重金属的主要来源;研究区Cd污染较为严重,可采取土壤修复与安全利用等措施进行污染防治。
英文摘要:
      In this study, 221 sampling points evenly distributed throughout Huize County, Yunnan Province, were examined to investigate the characteristics of heavy metal pollution in the cultivated soil of a typical Chinese lead-zinc mining area and clarify the pollution level and sources. The Cd, Pb, Cr, Cu, and Zn contents in the soil were determined. The local accumulation index(Igeo) and Nemerow Composite Pollution Index were used to evaluate the heavy metal pollution characteristics. The absolute principal component-multiple linear regression model(APCS-MLR) and positive definite matrix factorization receptor model(PMF) were used during correlation analysis to quantitatively assess the heavy metal sources. The results revealed that the contents of Cd, Pb, Cr, Cu, and Zn in the study area generally exceeded the corresponding soil background values for Yunnan Province, with a declining accumulation index trend of Cd>Zn>Pb>Cu>Cr, with Cd displaying severe contamination and heightened accumulation in the soil. In the study area, values obtained for the Nemerow Comprehensive Pollution Index indicated severe contamination in the soil at a level of 4.1, whereas source analysis revealed little difference between the two assessed models. Four sources were identified using APCS-MLR, namely, industrial/traffic(29.5%), agricultural(31.3%), parent material(23.7%), and unknown sources(15.4%), with four similar sources being identified based on PMF, namely, industrial(30.0%), parent material(29.2%), traffic(11.9%), and agricultural(28.9%). In general, the main sources of heavy metals contaminating soil within the study area represent industrial and agricultural activities, with Cd pollution being more severe. Moreover, compared with the APCS-MLR model, the PMF model was established to be more accurate in identifying sources. This type of pollution can be prevented and controlled via measures such as soil remediation and safe utilization.
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