L.-L. Wang , D.-H. Chen , Z.-J. Li , and L.-N. Zhao
Due to the specific characteristics of semi-arid catchments, this paper aims to establish a grid-and-Green-Ampt-and-two-dimensional-kinematic-wave-based distributed hydrological physical model (Grid-GA-2D model) coupling Green-Ampt infiltration method and two dimensional overland flow routing model based on kinematic wave theory for flood simulation and forecasting with using GIS technology and digital elevation model (DEM). Taking into consideration the soil moisture redistribution at hillslope, Green-Ampt infiltration physical method is applied for grid-based runoff generation and two-dimensional implicit finite difference kinematic wave model is introduced to solve depressions water storing for grid-based overland flow concentration routing in the Grid-GA-2D model. The Grid-GA-2D model, the Grid-GA model with coupling Green-Ampt infiltration method and one-dimension kinematic wave theory, and Shanbei model were employed to the upper Kongjiapo catchment in Qin River, a tributary of the Yellow River, with an area of 1454 km2 for flood simulation. Results show that two grid-based distributed hydrological models perform better in flood simulation and can be used for flood forecasting in semi-arid catchments. Comparing with the Grid-GA model, the flood peak simulation accuracy of the newly developed model is higher.
Received: 21 Jul 2011 – Discussion started: 24 Aug 2011
Publisher's note : Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
L.-L. Wang , D.-H. Chen , Z.-J. Li , and L.-N. Zhao
Status: closed (peer review stopped)
Status: closed (peer review stopped)
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Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC : Author comment | RC : Referee comment | SC : Short comment | EC : Editor comment
- Printer-friendly version
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L.-L. Wang , D.-H. Chen , Z.-J. Li , and L.-N. Zhao
L.-L. Wang , D.-H. Chen , Z.-J. Li , and L.-N. Zhao
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