主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2023, Vol. 39 ›› Issue (2): 20-27.doi: 10.3969/j.issn.1673-503X.2023.02.003

Previous Articles     Next Articles

Optimization of hydro-meteorological simulation parameters in Yihe River Basin based on WRF-Hydro model

Jun-jie LIU1(),Jin-lan GAO2,Lei LIU3,Yue-hong SHAO4,Bi-wen WU1,Zhi CHENG1   

  1. 1. Anhui Climate Center, Hefei 230031, China
    2. Anhui Weather Modification Office, Hefei 230031, China
    3. Wuhu Meteorological Service, Wuhu 241000, China
    4. School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2021-06-15 Online:2023-04-28 Published:2023-05-20

Abstract:

In order to optimize the parameter scheme suitable for WRF-Hydro hydro-meteorological forecast and simulation in the Yihe River Basin, the distribution calibration method was adopted to analyze several main hydrological parameters of WRF-Hydro model, which was driven by the China meteorological forcing dataset (CMFD) and precipitation data observed by the meteorological stations in the Yihe River basin.The flooding process caused by similar rainstorms was selected to carry out parameter fitting verification of the calibration results.The results show that the infiltration coefficient and surface roughness of the WRF-Hydro model have nonlinear characteristics on the yield flow.MannN roughness of the river has an obvious influence on both production flow and confluence velocity.The smaller the MannN roughness coefficient is, the faster the confluence speed is, the larger the production flow is and the earlier the peak occurrence time is.The infiltration coefficient and manning roughness are the most sensitive among all the measured parameters, especially in unsaturated soil.When the infiltration coefficient and MannN roughness multiplier are 1.5 and 0.7 respectively, and the default value of surface water holding depth and surface roughness is 1.0, the simulation effect of the runoff process is optimal.

Key words: Huaihe River Basin, WRF-Hydro model, Runoff simulation, Parameter calibration

CLC Number: