• DocumentCode
    2707704
  • Title

    Using fuzzy approach to build a continuous relationship between SCS curve number and soil properties

  • Author

    Li, Runkui ; Song, Xianfeng ; Duan, Zheng ; Peng, Ming

  • Author_Institution
    Coll. of Resources & Environ., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The commonly used Soil Conservation Service Curve Number (SCS-CN) for surface runoff modeling is largely dependent on the Hydrologic Soil Groups (HSGs) which are derived through aggregation of all soil types into four hydrologic groups. The derived CN largely mutes away original soil attribute details. A fuzzy approach refining CN according to soil hydrologic properties was developed to preserve difference of CN between different soil types. The proposed approach generally involves three steps: (1) definition of the typical values of soil attributes for each HSG; (2) calculation of the fuzzy membership of a given soil type to each HSG; and (3) calculation of CN for a given soil. Results from a small watershed show that CN from the proposed method effectively retains detailed soil information. The detailed CN derived by the new approach provides possibility for improving distributed hydrologic modeling for many commonly used hydrologic models.
  • Keywords
    hydrological techniques; hydrology; soil; water resources; distributed hydrologic modeling; fuzzy membership; hydrologic soil groups; soil conservation service curve number; soil hydrologic properties; soil information; surface runoff modeling; watershed; Computational modeling; Equations; Mathematical model; Soil properties; Water; Water resources; Hydrologic Soil Groups; SCS Curve Number; distributed hydrological modeling; fuzzy memberships;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980785
  • Filename
    5980785