• DocumentCode
    3325009
  • Title

    Modelling the future variations of Land Use and land cover in the middle reaches of Heihe River, northwestern China

  • Author

    Zhang, Hua ; Zhang, Bo ; Zhao, Chuanyan

  • Author_Institution
    Geogr. & Environ. Coll., Northwest Normal Univ., Lanzhou, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    883
  • Lastpage
    886
  • Abstract
    CLUE-S (the Conversion of Land Use and its Effects at Small Region Extent) Model was used to predict land use and land cover change (LUCC) from 2001 to 2020 in Zhangye City. The modeling built 3 kinds of water amount restriction scenarios. The base map was the land use map from TM image of 2001. 10 kinds of important driving factors of LUCC were chosen by Arcview 3.3. The weighting coefficient of each land was analyzed with SPSS13.0. The modeling results were: 1) farmland decreases in three scenarios, which is negatively correlated with available water amount; 2) woodland and grassland increase in three scenarios, which positively relates to available water amount; 3) the change of water area is not obvious in three scenarios; 4) the urban area does not change in scenario 1, but increases in scenario2 and 3; 5) the wasteland greatly decreased.
  • Keywords
    environmental monitoring (geophysics); land use planning; vegetation; AD 2001 to 2020; Arcview; CLUE-S; Conversion of Land Use and its Effects at Small Region Extent Model; Heihe River; SPSS; Zhangye City; farmland; grassland; land cover variation; land use variation; northwestern China; water amount restriction scenarios; weighting coefficient; woodland; Agriculture; Biological system modeling; Economics; Ecosystems; Mathematical model; Resource management; Rivers; CLUE-S; LUCC; available water amount scenario; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650983
  • Filename
    5650983