• Title of article

    Development of new R, C and SDR modules for the SATEEC GIS system

  • Author/Authors

    Park، نويسنده , , Youn Shik and Kim، نويسنده , , Jonggun and Kim، نويسنده , , Nam-Won and Kim، نويسنده , , Seong Joon and Jeon، نويسنده , , Ji-Hong and Engel، نويسنده , , Bernard A. and Jang، نويسنده , , Wonseok and Lim، نويسنده , , Kyoung Jae، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    9
  • From page
    726
  • To page
    734
  • Abstract
    Soil erosion is a natural phenomenon, but accelerated soil erosion is occurring with increased construction activities and intensive agricultural cultivation within many watersheds in recent years. To develop efficient soil erosion control best management practices, the soil erosion status in the target areas first needs to be understood spatially and temporally. The SATEEC system has been widely used for soil erosion studies because of its ease-of-use and limited input data requirement. However, SATEEC cannot be used for spatiotemporal analysis of soil erosion studies. Thus, the time-variant R, C, and GA-SDR modules were developed and integrated with the SATEEC system. The enhanced SATEEC 2.0 system estimated sediment yield values were compared with measured data for the Imha watershed. The R2 value and the Nash–Sutcliffe coefficient were 0.72 and 0.72, respectively for calibration and 0.91 and 0.88, respectively for validation with the time-variant R, C and GA-SDR modules. The statistics indicate the enhanced SATEEC 2.0 system with these modules can be used for spatial and temporal analysis of soil erosion and sediment yield with higher accuracy and a limited input dataset, which is the primary philosophy of the SATEEC ArcView GIS system. Since the daily USLE C database was obtained from SWAT runs using the climate data and agricultural management data in Korea, the daily USLE C database should be adjusted depending on the climate condition and agricultural management when the SATEEC is applied to other watersheds having different climate and agricultural management systems.
  • Keywords
    Soil loss , sediment , USLE , Time-variant R and C modules , GA-SDR , SATEEC system ver. 2.0
  • Journal title
    Computers & Geosciences
  • Serial Year
    2010
  • Journal title
    Computers & Geosciences
  • Record number

    2287732