• DocumentCode
    3583931
  • Title

    Notice of Retraction
    Comparison of the hydrological models in the Upper Medway Catchment, UK

  • Author

    Dehua Zhu ; Dingzhi Peng

  • Author_Institution
    Dept. of Civil Eng., Univ. of Swansea, Swansea, UK
  • Volume
    7
  • fYear
    2010
  • Firstpage
    3874
  • Lastpage
    3877
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    The two lumped conceptual models (Xinanjiang model and PDM), a semi-distributed model (TOPMODEL) and a distributed physically based model (MIKE SHE) were compared and applied to the Upper Medway catchment in Kent, UK. And the simulation results of streamflow were analyzed by using the three models. The Nash efficiency coefficient R2 were 0.80, 0.85, 0.68 and 0.92, and the total runoff relatively error RE were -14%, 18%, 16% and -5%, respectively, for Xinanjiang model, PDM, TOPMODEL and MIKE SHE in the calibration (2003-2004). And R2 were 0.75, 0.92, 0.66 and 0.92, RE were -10%, -5%, 23% and -6% in the validation (2006-2007), respectively. It showed that MIKE SHE performs better than the other models (Xinanjiang model, PDM and TOPMODEL) for the catchment.
  • Keywords
    game theory; hydrology; water resources; MIKE SHE distributed physical based model; Nash efficiency coefficient; PDM model; TOPMODEL semi-distributed model; Upper Medway catchment; Xinanjiang model; hydrological models; runoff relatively error; Analytical models; Atmospheric modeling; Calibration; Computational modeling; Data models; Hydrology; Soil; MIKE SHE; PDM; TOPMODEL; Xinanjiang model; distributed model; lumped model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583747
  • Filename
    5583747