摘要
为江西省鹰潭市余江区后续耕地土壤重金属污染治理与修复提供参考,采用地统计学法和内梅罗综合污染指数法,分析余江区124个土壤样点6种重金属(Cd、Cr、Cu、Pb、Zn、As)含量的空间分布特征和污染的不确定性。结果表明:Cd在土壤中的含量高于国家Ⅱ级标准,超标严重,其他重金属的含量均低于国家I级标准;普通克里格插值结果显示,Cu和Zn存在轻微污染且占比面积极小,Cd污染较严重;指示克里格插值结果显示,Cd和Cu的污染面积比重分别为36.04%和1.87%,其他重金属无污染现象;就单项污染而言,Cu和Zn均有极小比重的不确定区域,Cd的污染及不确定区域约占50%,综合污染和不确定区域面积近30%。
The spatial distribution feature and pollution uncertainty of Cd,Cr,Cu,Pb,Zn and As content in124 soil samples collected from Yujiang District are analyzed by using geostatistical and Nemerw multifactor index methods to provide a reference for management and remediation of heavy metals pollution in subsequent cultivated land in Yujiang District,Yingtan City,Jiangxi Province.Result:The Cd content is higher than the national gradeⅡstandard and exceeds the standard seriously.The content of Cr,Cu,Pb,Zn and As content is lower than the national gradeⅠstandard.The ordinary Kriging analysis shows that the soil is slightly contaminated with Cu and Zn and the area of the soil contaminated with Cu and Zn is the minimum.The soil is contaminated with Cd seriously.The indicator Kriging analysis shows that the proportion of the soil areas contaminated with Cd and Cu is 36.04%and 1.87%respectively and there is no Cr,Pb,Zn and As contamination in soil.In terms of single contamination,Cu and Zn both have the uncertain area with minimum proportion but the contamination and uncertain area of Cd account for 50%.The comprehensive contamination and uncertain area account for 30%.
作者
鲍思屹
徐梦洁
朱俐叶
解菁菁
庄舜尧
BAO Siyi;XU Mengjie;ZHU Liye;XIE Jingjing;ZHUANG Shunyao(College of Public Administration,Nanjing Agricultural University,Nanjing,Jiangsu 210095;State Key Laboratory of Soil and Agricultural Sustainable Utilization,Institute of Soil Sciences,Chinese Academy of Sciences,Nanjing,Jiangsu 210008,China)
出处
《贵州农业科学》
CAS
2020年第2期38-44,共7页
Guizhou Agricultural Sciences
基金
国家重点研发项目“我国中部地区农田土壤质量评价指标的建立”(2016YFE0112700)
南京农业大学大学生创新训练计划基金项目“随机森林模型的耕地土壤重金属空间异质性与污染评价及风险评估研究”(1920A23),“不同空间插值方法在土壤养分空间分布中的应用与比较”(1920A06)
关键词
红壤耕地
重金属
空间变异
污染不确定性
余江区
江西
red soil of cultivated land
heavy metal
spatial variation
contamination uncertainty
Yujiang
Jiangxi