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徐州市区土壤重金属空间分布研究
引用本文:李保杰,顾和和,于法展,纪亚洲.徐州市区土壤重金属空间分布研究[J].测绘科学,2011,36(5):82-84,89.
作者姓名:李保杰  顾和和  于法展  纪亚洲
作者单位:1. 中国矿业大学江苏省资源环境信息工程重点实验室,江苏徐州221116;徐州帅范大学城市与环境学院,江苏徐州221116
2. 中国矿业大学江苏省资源环境信息工程重点实验室,江苏徐州,221116
3. 徐州帅范大学城市与环境学院,江苏徐州,221116
基金项目:徐州师范大学科研基金资助项目(07XLB13)
摘    要:本文以徐州市泉山、云龙、鼓楼、九里4个城区的表层土壤为研究对象,利用BP神经网络模型结合GIS技术对徐州市表层土壤重金属空间分布进行了研究.结果表明:BP神经网络模型能够智能地学习各个样点的空间位置与该点各重金属含量之间的映射关系和预先设计好的分类评价模式,并能够对各个空间插值点处的重金属含量和污染状况进行预测和评价....

关 键 词:BP神经网络模型  土壤重金属  空间插值

Spatial distribution of soil heavy metals in Xuzhou city
LI Bao-jie,GU He-he,YU Fa-zhan,JI Ya-zhou.Spatial distribution of soil heavy metals in Xuzhou city[J].Science of Surveying and Mapping,2011,36(5):82-84,89.
Authors:LI Bao-jie  GU He-he  YU Fa-zhan  JI Ya-zhou
Institution:①②(①China University of Mining and Technology,Jiangsu Key Laboratory of Resources and Environmental Information Engineering,Xuzhou 221116,China;②College of Urban & Environmental Science,Xuzhou Normal University,Xuzhou 221116,China)
Abstract:In the paper,based on laboratory analysis of soil samples collected from Quanshan,Yunlong,Gulou and Jiuli districts of Xuzhou,the spatial distribution of heavy metals in the soils was investigated by BP neural network model and GIS.Results indicated that ANN modeling can not only grasp intelligently the mapping relationship between spatial position and heavy metal content,but also help to predict the heavy metals content in every spatial interpolating dot.By using ArcGIS analysis the results indicated that ...
Keywords:BP Artificial Neural Networks modeling  soil heavy metals  spatial interpolation  
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