PHYSICALLY BASED DISTRIBUTED HYDROLOGICAL MODEL APPLICATION IN FLOOD FORECASTING OF LARGE RIVER BASIN
Physically-based distributed hydrological model is new generation flood forecasting model, which can better represent river basin hydrological processes, thus improving flood forecasting accuracy. But current application of physically-based distributed hydrological model is limited to small scale river basin with drainage area less then 1000km due to the unavailability of terrain data and also the computational efficiency. Liuxihe Model is a Physically-based distributed hydrological model mainly developed for river basin flood forecasting, which has 6 components including the Basin Digitization Model (BDM), the Evaportranspiration Model (EM), the Runoff Production Model (RPM), the Runoff Routing Model (RRM) and the Parameter Deriving Model(PDM). The BDM divides the studied basin into a number of cells horizontally which are further divided into 3 layers vertically, EM calculates the evaportranspiration occuring in the cells. RPM determines the runoff produced in every cell. RRM routes the runoff produced in every cell to the basin outlet, and the PDM derives model parameters. Liuxihe Model employs one dimensional kinematical wave approximation for hill slope rouing and one dimensional diffusive wave approximation for river channel routing, while the model parameters are adjusted based on a preliminary value referring to past experiences. The study to a basin with a drainage arer of 539km2 showed that Liuxihe Model has high computing efficiency and can easily use the currently available terrain data on internet to model the flood process so to has the potential to be applied in large scale river basins.
flood forecasting physically based distributed hydrological model Liuxihe Model parameter deriving DEM
Yangbo Chen Huijun Xu Fenghua Huang
Natural Disaster Research Center, Sun Yat-sen University, Guangzhou, China 51027
国际会议
High-level International Forum on Water Resources and Hydropower(第一届国际水利水电高层论坛)
北京
英文
533-536
2008-10-17（万方平台首次上网日期，不代表论文的发表时间）