华东师范大学学报(自然科学版) ›› 2005, Vol. 2005 ›› Issue (3): 59-64.

• 地理学 河口海岸学 • 上一篇    下一篇

空间聚类在农业非点源污染研究中的应用

戴晓燕，过仲阳，石纯，吴健平   

  1. 华东师范大学 地理信息科学教育部重点实验室,上海200062
  • 收稿日期:2003-09-23 修回日期:2003-10-31 出版日期:2005-08-25 发布日期:2005-08-25
  • 通讯作者: 戴晓燕

Application of Spatial Clustering in the Study of Agricultural Non-point Source Pollution(Chinese)

DAI Xiao-yan,GUO Zhong-yang,SHI Chun,WU Jian-ping   

  1. Key Laboratory of Geographic Information Science,Ministry of Education, East China Normal University, Shanghai200062,China
  • Received:2003-09-23 Revised:2003-10-31 Online:2005-08-25 Published:2005-08-25
  • Contact: DAI Xiao-yan

摘要： 根据上海地区遥感图像的解译信息，结合地理信息系统 (GIS) 的空间分析功能，以上海市青浦区为例，建立了在多种空间因素影响下确定农业非点源污染负荷的流域分配方法，在此基础上，运用空间聚类中的K-均值法对研究区内的水系污染状况进行了聚类分析，得到了研究区农业非点源污染物的空间分布特征，从而为流域内非点源污染的管理提供了理论依据.

关键词: 农业非点源污染, 地理信息系统, K-均值法, 农业非点源污染, 地理信息系统, K-均值法

Abstract: According to the remote sensing image information of Shanghai area, combining with geographic information system (GIS), a method for watershed distribution of agricultural non-point source pollution was set up and applied in Qingpu district. Based on these, K-means algorithm was applied to analyze the pollution conditions of rivers in the study area, consequently, some meaningful results of the spatial distribution features of agricultural non-point source pollution were obtained.

Key words: geographical information system, K-means algorithm, agricultural non-point source pollution, geographical information system, K-means algorithm

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