• DocumentCode
    2989539
  • Title

    Research on sensitivity evaluation of soil erosion based on GIS in Jixi County

  • Author

    Zhang, Jing ; Man-chun Li ; Yang, Chao-ran ; Yang, Chen ; Wan, Yong-xing ; Li, Fei-xue

  • Author_Institution
    Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2012
  • fDate
    15-17 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Sensitivity of soil erosion is the representative of the possibility of occurring soil erosion under natural conditions. Sensitivity evaluation of soil erosion is the reliable method to identify the highly sensitivity areas and evaluate the sensitivity degree in a particular area. This paper uses the revised universal soil loss equation (RUSLE) and GIS technique which has powerful space analysis functions for extracting the factors of soil erosion, making thematic maps and building the model to research the sensitivity of soil erosion in Jixi County. According to the characteristics of geography in study area, the key sensitivity factors of the soil erosion were defined, which include rainfall erosivity factor, soil erodibility factor, slope factor and vegetation cover factor. The aim of the article is to explore the space distribution characteristics of soil erosion in Jixi County.
  • Keywords
    erosion; geographic information systems; rain; soil; vegetation; GIS technique; Jixi County; RUSLE technique; geography characteristics; natural conditions; rainfall erosivity factor; revised universal soil loss equation; slope factor; soil erodibility factor; soil erosion; space analysis functions; thematic maps; vegetation cover factor; Blood; Bones; Frequency modulation; Monitoring; Soil; Transportation; Water conservation; Anhui; GIS; sensitivity evaluation; soil erosion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-4673-1103-8
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2012.6270276
  • Filename
    6270276