太阳成8722(中国)有限公司-GREEN NO.1

作者：Chen, YY(Chen, Yiyun); Liu, YL(Liu, Yaolin); Liu, YF(Liu, Yanfang); Lin, AW(Lin, Aiwen); Kong, XS(Kong, Xuesong); Liu, DF(Liu,Dianfeng); Li, XR(Li, Xiran); Zhang,Y(Zhang, Yang); Gao, Y(Gao, Yin); Wang, D(Wang, Dun)

来源出版物：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 卷：9 期：5 页：1874-1886 出版年：MAY 2012

会议名称：8th International Symposium on Recent Advances in Environmental Health Research 会议日期：SEP 18-21, 2011

摘要：Heavy metal pollution in soil is becoming a widely concerning environmental problem in China. The aim of this study is to integrate multiple sources of data, namely total Cu and Pb contents, digital elevation model (DEM) data, remote sensing image and interpreted land-use data, for mapping the spatial distribution of total Cu and Pb contamination in top soil along the Le'an River and its branches. Combined with geographical analyses and watershed delineation, the source and transportation route of pollutants are identified. Regions at high risk of Cu or Pb pollution are suggested. Results reveal that topography is the major factor that controls the spatial distribution of Cu and Pb. Watershed delineation shows evidence that the streamflow resulting from rainfall is the major carrier of metal pollutants.

文献类型：Article;Proceedings Paper

语种：English

作者关键词：soil, heavy metal, contamination, digital elevation model, mapping

扩展关键词：MINE

通讯作者地址：Liu, YL (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Luoyu Rd 129, Wuhan 430079, Peoples R China

地址：

[Chen, Yiyun; Liu, Yaolin; Liu, Yanfang; Lin, Aiwen; Kong, Xuesong; Liu, Dianfeng; Li, Xiran; Zhang, Yang; Gao, Yin; Wang, Dun]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China

[Liu, Yaolin; Liu, Yanfang]Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China

电子邮件地址kellypcyy@126.com;yaolin610@whu.edu.cn;yfliu610@163.com;awlin@263.net;kxsiu@tom.com;liudfeng1985@126.com;lxrna@163.com;252070680@qq.com;494141963@qq.com;12021715@qq.com

学科类别：Environmental Sciences & Ecology

ISSN：1661-7827