南通大学学报(自然科学版)

2008, No.24(01) 1-8

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Archive) | 高级检索(Advanced Search)

基于GIS的农田土壤重金属空间插值分析及污染评价——以江苏省南通市为例
GIS-based Spatial Interpolation and Pollution Appraisal of Heavy Metal in Cropland Soil——A Case Study of Nantong in Jiangsu Province

王进,冯金飞,卞新民
WANG Jin Nantong Agriculture Bureau,Nantong 226006,China FENG Jin-fei BIAN Xin-min Nanjing Agricultural University

摘要(Abstract):

以江苏省南通市土壤重金属污染情况调查的资料数据为基础,比较不同的空间插值方法后选用合适的模型进行空间插值计算,并根据插值结果对南通市农田土壤重金属空间分布和污染现状进行分析和评价.研究结果表明,样本数据的离散程度会影响空间插值的结果,对离散程度大的数据,应根据实际应用进行转换以降低其离散程度.南通市五种重金属超过自然背景值的面积比例分别为:Hg 2.75%;As 23.02%;Pb 68.24%;Cd 0.01%;Cr 5.59%.南通市各市县Pb的污染指数均超过1,海门市、南通市区和启东市的As污染指数均超过1.南通市区、海门市和启东市的综合污染指数处于警戒限,通州市的综合污染指数接近警戒限.
In this case study,data came from the survey on heavy metal pollution in Nantong,Jiangsu province.After comparing various methods of spatial interpolation,the paper adopted an appropriate model to conduct the spatial interpolation,from which the analysis of spatial distribution and the pollution appraisal of heavy mental in cropland soil in Nantong were derived.The findings indicate that dispersion of the sample data can affect the result of spatial interpolation.The widely dispersed data should be transformed to lower their dispersion degree.The area proportions of heavy metals Hg,As,Pb,Cd,and Cr were 2.75%,23.02%,68.24%,0.01%,and 5.59% respectively.The Pb pollution index in every city and county in Nantong surpassed 1.The As pollution index of Haimen,Nantong and Qidong surpassed 1.The combined pollution index of Nantong,Haimen and Qidong were being at the warning limit. The combined pollution index of Tongzhou was approaching the warning limit.

关键词(KeyWords): 污染评价;空间插值;重金属;农田土壤
pollution appraisal;spatial interpolation;heavy mental;cropland soil

Abstract:

Keywords:

基金项目(Foundation): 江苏省环保科技项目(2005012)

作者(Author): 王进,冯金飞,卞新民
WANG Jin Nantong Agriculture Bureau,Nantong 226006,China FENG Jin-fei BIAN Xin-min Nanjing Agricultural University

参考文献(References):

文章评论(Comment):

序号(No.) 时间(Time) 反馈人(User) 邮箱(Email) 标题(Title) 内容(Content)
反馈人(User) 邮箱地址(Email)
反馈标题(Title)
反馈内容(Content)
扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享