• DocumentCode
    2213080
  • Title

    Exploring effects of rainfall intensity on soil erosion at the catchment scale using modified semmed model at the Zuli River Basin, western of loess Plateau, China

  • Author

    Zhang XiaoWen ; Zhang Shiqiang

  • Author_Institution
    Resource Environ. & Urban & Rural Planning Dept., Lanzhou Univ. of Finance & Econ., Lanzhou, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    690
  • Lastpage
    693
  • Abstract
    Serious soil erosion is both the cause and the result of eco-environment degradation in Zuli River Basin (ZRB) of Chinese loess Plateau. The spatial distribution of soil erosion of ZRB in one humid year 1999 and dry year 2001 were estimated by modified SEMMED model which forced by the observed precipitation data, Digital Elevation Model, land use data derived from remote sensing data, and other field survey data under GIS environment. The results of simulated soil erosion suggest that the most serious soil erosion occurred in areas around Gejiacha, Caotan, Gejiazai and Jingyuan. The soil erosion in central and southern part of ZRB is less than that of Northern part. The Quwu Mountain, Yueliang Mountain and Huajialing have high vegetation cover and less soil erosion. These results indicate that the soil erosion is highly sensitive to the great interannual variability of rainfall intensity in arid regions such as ZRB.
  • Keywords
    digital elevation models; erosion; geographic information systems; rain; soil; vegetation; AD 1999; AD 2001; Caotan; Chinese loess Plateau; GIS environment; Gejiacha; Gejiazai; Huajialing; Jingyuan; Quwu Mountain; Yueliang Mountain; ZRB soil erosion; Zuli river basin; digital elevation model; land use data; modified SEMMED model; precipitation data; rainfall intensity effects; remote sensing data; soil erosion; vegetation cover; Data models; Distribution functions; Graphical models; Kinetic energy; Rivers; Soil; Vegetation mapping; SEMMED; Soil erosion; model; rainfall intensity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351476
  • Filename
    6351476