• DocumentCode
    3361663
  • Title

    Study on spatial variation of soil erosion intensity with RS and GIS

  • Author

    Zhu Lianqi ; Pan Shaoqi

  • Author_Institution
    Inst. of Resources & Environ., Henan Univ., Kaifeng, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4772
  • Lastpage
    4775
  • Abstract
    This paper collected data of affecting soil erosion by RS and GIS, combined soil erosion model, got the load and degree of soil erosion in Luoning County, and analyzed the relationship between soil erosion and its main affecting factors. The results showed that annual average soil erosion modulus was 2799.29t/km2 and erosion load 6495744t, 61% of Luoning County was tiny or light degree erosion, while the serious eroded area which mainly concentrated in the western only occupied 20% of the area, but contributed 57.64% of sediment of the area and need more protection. There is a basically positive correlation between soil erosion and slope; midding and more serious erosion were increased in different land use such as waters, farmland, construction land, forest and unused land.
  • Keywords
    erosion; geographic information systems; soil; GIS; RS; soil erosion intensity; spatial variation; Educational institutions; Electronic mail; Geographic Information Systems; Load modeling; Protection; Remote sensing; Satellites; Sediments; Soil; Water resources; GIS; Luoning County; RS; soil erosion intensity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536351
  • Filename
    5536351