JOURNAL OF NATURAL RESOURCES ›› 2011, Vol. 26 ›› Issue (3): 364-372.doi: 10.11849/zrzyxb.2011.03.002

• Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS • Previous Articles     Next Articles

Response Relationship between Canal Water Quality and Land-use Using Space Statistical Modeling

XIA Rui1, LI Yun-mei1, WANG Qiao2, Lü Heng1, JIN Xin1, WANG Yan-fei1   

  1. 1. Virtual Geographical Environment Laboratory of Ministry of Education, Nanjing Normal University, Nanjing 210046, China:;
    2. Satellite Environment Application Center in Ministry of Environmental Protection, Beijing 100094, China
  • Received:2009-10-01 Revised:2010-12-20 Online:2011-03-20 Published:2011-03-20

Abstract: Taking two SPOT-5 orthophoto images of Beijing-Hangzhou Grand Canal in 2003 as the data source, this paper uses the least square multiple regression to build the model between water quality data and land-use proportion in high flow period and low water period. The result shows that the spatial change of the buffer distance which is the center of the monitoring sections presents obvious responsive relationship with water quality monitoring indexes. In high flow period, the maximum response ranges of DO, CODMn, BOD5, TN and TP are 100 m, 100 m, 300 m, 200 m and 100 m, respectively. But in low water period, the maximum response ranges are 500 m, 200 m, 300 m, 400 m and 200 m. The canal water pollution is influenced by neritic land-use structure. Agricultural effluent, commercial and industrial wastewater, bare land effluent, which are composed by living rubbish and construction refuse, are the important reasons to cause the Beijing-Hangzhou Grand Canal water quality deterioration.

Key words: remote sensing, land-use, space statistical, water quality response

CLC Number: 

  • X522