• DocumentCode
    2460113
  • Title

    Spatial distribution of non-point source pollution and its relation to land use structure in Muling River watershed, Sanjiang Plain

  • Author

    Ren, Chunying ; Wang, Zongming ; Song, Kaishan ; Zhang, Bai ; Zhang, Sumei

  • Author_Institution
    Northeast Inst. of Geogr. & Agroecology, Changchun, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4423
  • Lastpage
    4426
  • Abstract
    It is important to better understand the spatial distribution of non-point source pollution and related influencing factors in China. On the bases of field sampling, using GIS techniques, this paper analyzed the spatial characteristics of non-point pollution and its relation to land use structure, taking Muling river sub-basin in Sanjiang Plain as the study area. The result shows that the value of TSS, TN, and TP exceed the country criteria and the discrepancy in space is little. In the sub-basin which are controlled mainly by a single land use type, surface water quality of woodland controlled sub-basin is better than that of cropland controlled sub-basin. The concentration of pollutants in combined structure (cropland, woodland and grassland) is highest in three land use structures. This may be due to the complex surface background and other point source pollution in this study area.
  • Keywords
    crops; geographic information systems; river pollution; rivers; terrain mapping; water resources; China; GIS technique; Muling River subbasin; Muling River watershed; Sanjiang Plain; complex surface background; cropland controlled subbasin; field sampling method; grassland; land use analysis; land use structure; nonpoint source pollution spatial distribution; surface water quality; woodland controlled subbasin; Biological system modeling; Geographic Information Systems; Rivers; Surface contamination; Water pollution; Muling River; Sanjiang Plain; land use structure; non-point source pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965312
  • Filename
    5965312