• DocumentCode
    147731
  • Title

    Application of modular approach in GIS-based hydrological modeling

  • Author

    Shixiong Hu ; He Jin ; Xiaodan Hu ; Yuannan Long

  • Author_Institution
    Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this study, the input data for model simulation are collected through internet and field investigation: DEM data, landuse map, soil class map and weather data. The spatial database for runoff simulation and physical attribute database are also created. A distributed hydrological model-SWAT (Soil and Water Assessment Tool), developed by USDA ARS (Agricultural Research service), has been applied to simulate the runoff process in the Lianshui Basin, China. To make the SWAT become applicable in the study area, the experimental modification of SWAT model is also performed by replacing surface runoff module with Xin´anjiang model. This research indicates that SWAT and modified model are reasonable in simulating the monthly average runoff. The simulated values with modified model are more accurate and closer to measured data than the result from the original SWAT.
  • Keywords
    digital elevation models; geographic information systems; hydrological techniques; Agricultural Research service; China; DEM data; GIS-based hydrological modeling; Lianshui Basin; SWAT model; USDA ARS; Xin´anjiang model; distributed hydrological model; field investigation; internet investigation; modular approach application; monthly average runoff; runoff simulation; soil class map; surface runoff module; use map; weather data; Calibration; Distance measurement; Time measurement; GIS-based Mode; Hydrology; Interoperability; Modular Approach; Watershed Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GeoInformatics), 2014 22nd International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2014.6950844
  • Filename
    6950844