Digital Rainfall-Runoff Model Based on DEM: The Application to Xiaolangdi-Huayuankou Section of the Yellow River Basin
Received date: 2002-05-10
Revised date: 2002-09-07
Online published: 2002-11-25
Supported by
The National Key Basic Research Project of China, No.19990436-01
DEM is the main data source which is used in watershed analysis. There are many mature algorithms in watershed analysis and they can be used to delineate the drainage networks. Applications of the methods based on DEM make significant innovation in hydrological simulations. Topographic parameters which are used in hydrological models can be automatically calculated from DEM. The article introduces the main process to determine watershed geometry, drainage network and other map-type information for hydrological models. Lushi basin, located in the upper Luohe river which is a tributary of the middle Yellow River, was selected as the study region with an area of 4,623 km2. WMS6.1, a GIS hydrological tool, which is introduced to China recently, was used to develop the digital rainfall-runoff model, and other GIS tools such as ARC/Info, Arcview were also used to deal with the data. The drainage network was derived from 1:250,000 DEM, and the region was divided into seven sub-basins. HEC-1 model, a part of hydrological models in WMS, was selected to simulate the rainfall-runoff process. Curve Numbers (CNs) and other parameters were automatically calculated to input to models directly. Five historical flood events were simulated. The results demonstrate that the method was more efficient than trade method. Although it is very easy and quick to input and output data for the models, it does not mean that the hydrological model itself has high quality, so it is necessary to develop hydrological models which can be adapted to the region.
Key words： watershed hydrological model; GIS; DEM; WMS; digital hydrology; Xiaolangdi-Huayuankou section
WU Xianfeng, WANG Zhonggen, LIU Changming, LIU Xiaowei . Digital Rainfall-Runoff Model Based on DEM: The Application to Xiaolangdi-Huayuankou Section of the Yellow River Basin[J]. Acta Geographica Sinica, 2002 , 57(6) : 671 -678 . DOI: 10.11821/xb200206006
[1] Tribe A. Automated recognition of valley lines and drainage networks from grid digital elevation models: a review and a new method. Journal of Hydrology, 1992, 139(1/4): 263-293.
[2] O'Callaghan F, Mark D M. The extraction of drainage networks from digital elevation data. Computer Vision Graphics and Image Processing, 1984, 28: 323-344.
[3] Martz W. de Jong E. Catch: a Fortran program for measuring catchment area from digital elevation models. Computers & Geosciences, 1988, 14(5): 627-640.
[4] Turcotte R, Fortin J P, Rousseau A N et al. Determination of the drainage structure of a watershed using a digital elevation model and a digital river and lake network. Journal of Hydrology (Amsterdam), 2001, 240(3-4): 225-242.
[5] Costa-Cabral M C, Burges S J. Digital elevation model networks (DEMON): a model of flow over hill slopes for computation contributing and dispersal areas. Water Resources Research, 1994, 30(6): 1681-1692.
[6] George M Hornberger, Elizabeth W Boye. Recent advances in watershed modelling. In: U.S. National Report to IUGG, 1991-1994. Rev. Geophys., 33(Suppl).
[7] Garbrecht J, Campbell J. TOPAZ: an automated digital landscape analysis tool for topopraphic evaluation, drainage identification, watershed segmentation and subcatchment parameterization. TOPAZ User Manual, USDA-ARS, Oklahoma, 1997.
[8] Douglas D H. Experiments to locate ridges and channels to create a new type of digital elevation models. Cartographica, 1986, 23(4): 29-61.
[9] Fairfield J, Leymarie P. Drainage networks from grid digital elevation models. Water Resources Research, 1991, 30(6): 1681-1692.
[10] Mark D M. Automatic detection of drainage networks from digital elevation models. Cartographica, 1984, 21(2/3):168-178.
[11] Martz L W, Garbrecht J. Numerical definition of drainage network and subcatchment areas from digital elevation models. Computers and Geosciences, 1992, 18(6): 747-761.
[12] E James Nelson. WMS v6.1 Tutorials, Environmental Modeling Research Laboratory, Brigham Young University, Provo, Utah, 2001, 236.
[13] E James Nelson, Christopher M Smemoe, Bing Zhao. A GIS approach to watershed modeling in Maricopa County, Arizona. American Society of Civil Engineers, Water Resources Planning and Management Conference, June 6-10, 1999.
[14] Smemoe, Chris M E, James Nelson et al. A conceptual modeling approach to CEQUAL-W2 using the watershed modeling system. In: Proceedings of the Hydroinformatics Conference, Iowa City, Iowa, July 2000.
[15] Green Jonathan I, E James Nelson. Calculation of time of concentration for hydrologic design and analysis using geographic information system vector objects. International Journal of Hydroinformatics, 2002, 1(2).
[16] U.S. Corps of Engineers, HEC-1 User's Manual, 1981.
[17] Cho S M, Lee M W. Sensitivity considerations when modeling hydrologic processes with digital elevation model. Journal of the American Water Resources Association, 2001, 37(4): 931-934.
[18] Kenward T, Lettenmaier D P, Wood E F et al. Effects of digital elevation model accuracy on hydrologic predictions. Remote Sensing of Environment, 2000, (3): 432-444.
[19] Valeo C, Moin S M A. Grid-resolution effects on a model for integrating urban and rural areas. Hydrological Processes, 2002, 14(14): 2505-2525.
[20] Moore I D, Grayson R B, Ladson A R. Digital terrain modelling: a review of hydrological, geomorphological, biological applications. Hydrological Processes, HYPRE3, 5(1): 3-30.
[21] Yin Zhiyong, Wang Xinhao. A cross-scale comparison of drainage basin characteristics derived from digital elevation models. Earth Surface Processes and Landforms, 1999, 24(6): 557-562.
[22] Wise S. Assessing the quality for hydrological applications of digital elevation models derived from contours. Hydrological Processes, 2000, 14(11-12): 1909-1929.
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