基于TIN模型和直接暴露方法的长沙土壤中重金属来源识别及人类健康风险评价(英文)

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Published in中国有色金属学报:英文版 Vol. 21; no. 3; pp. 642 - 651
Main Author 陈建群 王振兴 吴勰 朱建军 周文斌
Format Journal Article
LanguageEnglish
Published 2011
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Author 陈建群 王振兴 吴勰 朱建军 周文斌
AuthorAffiliation 中南大学地球科学与信息物理学院,长沙410083 中南大学冶金科学与工程学院,长沙410083 江西水利规划设计院,南昌330029
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DocumentTitleAlternate Source and hazard identification of heavy metals in soils of Changsha based on TIN model and direct exposure method
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Notes soil; heavy metal; geostatistics; health risk; triangulated irregular network (TIN) model; geographic information system (GIS)
CHEN Jian-qun1, WANG Zhen-xing2, WU Xie3, ZHU Jian-jun1,2, ZHOU Wen-bin1 1. School of Geosciences and Info-physics, Central South University, Changsha 410083, China; 2. School of Metallurgical Science and Engineering, Central South University, Changsha 410083, China; 3. Jiangxi Provincial Water Conservancy Planning and Designing Institute, Nanchang 330029, China
43-1239/TG
A total of 153 soil samples were collected from Changsha City, China, to analyze the contents of As, Cd, Cr, Cu, Hg, Mn, Ni, Pb and Zn. A combination of sampling data, multivariate statistical method, geostatistical analysis, direct exposure method and triangulated irregular network (TIN) model was successfully employed to discriminate sources, simulate spatial distributions and evaluate children's health risks of heavy metals in soils. The results show that not all sites in Changsha city may be suitable for living without remediation. About 9.0% of the study area provided a hazard index (HI)1.0, and 1.9% had an HI2.0. Most high HIs were located in the southern and western areas. The element of arsenic and the pathway of soil ingestion were the largest contribution to potential health risks for children. This study indicates that we should attach great importance to the direct soil heavy metals exposure for children's health.
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PublicationDate 2011
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PublicationTitle 中国有色金属学报:英文版
PublicationTitleAlternate Transactions of Nonferrous Metals Society of China
PublicationYear 2011
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StartPage 642
SubjectTerms TIN模型
健康风险
土壤
地理信息系统
地统计学
重金属
Title 基于TIN模型和直接暴露方法的长沙土壤中重金属来源识别及人类健康风险评价(英文)
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