Journal of East China Normal University(Natural Sc ›› 2005, Vol. 2005 ›› Issue (3): 59-64.

• Article • Previous Articles     Next Articles

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

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

CLC Number: