• DocumentCode
    2441079
  • Title

    The applicability analysis on runoff simulation using global average monthly evaporation data

  • Author

    Xue, Lianqing ; Fan, Zhenghang ; Hao, Zhenchun ; Wang, Jiahu ; Li, Yongkun

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    830
  • Lastpage
    833
  • Abstract
    In this paper the inflow and runoff process of Meishan reservoir is simulated from 1978 to 1987 using CREST (The Coupled Routing and Excess Storage model) model. The influence to simulation results of model forced by measured and global evaporation data is also analyzed at the same time. Through the optimized parameter calibration process a preferred model parameter is set up and used for the different runoff process simulation. The results show that model forced by the global evaporation data instead of measured ones can not only reflect the runoff process properly, but also proved the model can be used well in the basin with large area. The comparison experiments on error analysis between different evaporation data resources indicate the applicability of global evaporation data in runoff simulation of basins with different scales. The results provide the theoretical basis for runoff simulation with large scale of space-time and data scarce areas.
  • Keywords
    evaporation; hydrology; reservoirs; AD 1978 to 1987; CREST model; China; Coupled Routing and Excess Storage model; Meishan reservoir; error analysis; global average monthly evaporation data; inflow process; optimized parameter calibration process; runoff process simulation; Analytical models; Calibration; Data models; Floods; Reservoirs; Simulation; applicability; global evaporation; runoff simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964406
  • Filename
    5964406