He Y.,King's College London |
Wetterhall F.,King's College London |
Bao H.,Hohai University |
Bao H.,National Meteorological Center |
And 6 more authors.
Atmospheric Science Letters | Year: 2010
We present a case study using the TIGGE database for flood warning in the Upper Huai catchment (ca. 30 672 km2). TIGGE ensemble forecasts from 6 meteorological centres with 10-day lead time were extracted and disaggregated to drive the Xinanjiang model to forecast discharges for flood events in July-September 2008. The results demonstrated satisfactory flood forecasting skills with clear signals of floods up to 10 days in advance. The forecasts occasionally show discrepancies both in time and space. Forecasting quality could potentially be improved by using temporal and spatial corrections of the forecasted precipitation. Copyright © 2010 Royal Meteorological Society.
Li Z.,Hohai University |
Hu W.,Hohai University |
Ding J.,Hohai University |
Hu Y.,Hydrological Bureau of Anhui Province |
And 2 more authors.
Shuili Fadian Xuebao/Journal of Hydroelectric Engineering | Year: 2012
A hydrological model was developed by adopting Preissmann implicit scheme of channel flow and the ideas of distributed hydrological model CASC2D, and it was compared with explicit finite difference method. In this model, a method of saturation excess runoff that was developed for the Xinanjiang model, is used to calculate runoff process on every grid cell and it was compared with the models solving Green-Ampt equation. To improve CASC2D modeling technique, a linear reservoir method with time lag is used for groundwater runoff routing. Application of this improved model to the Goodwin Creek catchment and the Shujia catchment shows high accuracy of simulation. With fast developing of geographic information systems and remote sensing, distributed hydrological models will be widely applied to simulation of flood for small and medium catchments.
Ye J.,Hohai University |
Ye J.,Huaihe River Basin Meteorological Center |
Yao C.,Hohai University |
Li J.,Hydrological Bureau of Anhui Province |
Li Z.,Hohai University
Journal of Hohai University | Year: 2013
A single objective function with consideration of multiple factors was established using the SCE-UA algorithm and the comprehensive error coefficient method, and was applied to parameter calibration in the Xin'anjiang model. A case study was conducted in the Luxi Basin, which is located in the southern mountainous area of Anhui Province. The daily runoff process and hourly flood process in this basin were simulated, and reasonable results were obtained. The research results show that, by considering multiple precision evaluation indices in the objective function, the simulation results of the Xin'anjiang model are optimal. In this case, the hydrological processes can be accurately simulated.