期刊文献+

An Efficient Method on Deriving Topographic Index from DEM for Land Surface Hydrological Model Simulations

An Effcient Method on Deriving Topographic Index from DEM for Land Surface Hydrological Model Simulations
原文传递
导出
摘要 As a kernel parameter of the TOPMODEL-concept-based land surface model (LSM), topographic in- dex (TI) is commonly derived from high resolution digital elevation model (DEM). Various approaches to compute TI by using different algorithms have been developed in previous literature. However, fiat areas and pits in DEMs of real watershed sometimes impose an arbitrary and spatially constant drainage density which may cause conventional retrieval methods to be very computer-intensive, especially for regional or global climate simulations where rugged mountainous areas are mixed with fiat terrains in the DEM. In this paper, we propose a new approach to overcome this shortcoming by introducing a quantile classification to sort the DEM into eight categories at first and then using a fast and simple algorithm to process the fiat areas, fill up pits in the DEM, and make it undulating. Thereafter, the algorithm can be directly applied to assigning flow directions of each cell of the processed DEM rather than taking the complicated approach of Jenson and Domingue. This approach dramatically promotes the computing efficiency with a much easier and faster processing. In addition, the effects of different TI computing approaches on the TOPMODEL-concept-based hydrological simulations are investigated based on experimental simulations over a small-scale watershed gauged by the Yonshuijie hydrological station and a large-scale watershed controlled by the Hanzhong hydrological station, respectively. The results show that the new approach is 13 times faster than the conventional one in TI retrieving, and no evident differences are found in rainfall- runoff simulations when using different algorithms in TI computations. These suggest that the proposed new approach for TI computation can be taken as an alternative and used in the TOPMODEL-concept- based hydrological simulations owning to its simplicity and high efficiency, especially for relevant regional and global studies. As a kernel parameter of the TOPMODEL-concept-based land surface model (LSM), topographic in- dex (TI) is commonly derived from high resolution digital elevation model (DEM). Various approaches to compute TI by using different algorithms have been developed in previous literature. However, fiat areas and pits in DEMs of real watershed sometimes impose an arbitrary and spatially constant drainage density which may cause conventional retrieval methods to be very computer-intensive, especially for regional or global climate simulations where rugged mountainous areas are mixed with fiat terrains in the DEM. In this paper, we propose a new approach to overcome this shortcoming by introducing a quantile classification to sort the DEM into eight categories at first and then using a fast and simple algorithm to process the fiat areas, fill up pits in the DEM, and make it undulating. Thereafter, the algorithm can be directly applied to assigning flow directions of each cell of the processed DEM rather than taking the complicated approach of Jenson and Domingue. This approach dramatically promotes the computing efficiency with a much easier and faster processing. In addition, the effects of different TI computing approaches on the TOPMODEL-concept-based hydrological simulations are investigated based on experimental simulations over a small-scale watershed gauged by the Yonshuijie hydrological station and a large-scale watershed controlled by the Hanzhong hydrological station, respectively. The results show that the new approach is 13 times faster than the conventional one in TI retrieving, and no evident differences are found in rainfall- runoff simulations when using different algorithms in TI computations. These suggest that the proposed new approach for TI computation can be taken as an alternative and used in the TOPMODEL-concept- based hydrological simulations owning to its simplicity and high efficiency, especially for relevant regional and global studies.
出处 《Acta meteorologica Sinica》 SCIE 2009年第5期609-616,共8页
基金 Supported by the National Key Development Program for Basic Sciences of China under Grant No.2006CB400502 the 100 Young Talent Project of Chinese Academy of Sciences under Grant No.8-057493 the Special Meteorology Project of China Meteorological Administration under Grant No.GYHY200706001
关键词 TOPMODEL topographic index (TI) digital elevation model (DEM) PITS fiat areas TOPMODEL, topographic index (TI), digital elevation model (DEM), pits, fiat areas
  • 相关文献

参考文献10

  • 1Wang,L,Liu H.An e-cient method foridentifying and filling surface depressions in dig-ital elevation models for hydrologic analysis andmodeling[].International Journal of Geographical In-formation Sciences.2006
  • 2Wolock,D.M,G.J.McCabe.Di-erences intopographic characteristics computed from 100-and1000-m resolution digital elevation model data[].Hy-drological Processes.2000
  • 3Martz L W,De Jong E.Catch: A FORTRAN program for measuring catchment area from digital elevation models[].Computers and Geosciences.1988
  • 4Nash J E,Sutcliffe J V.River flow forecasting through conceptual models, Part 1: A discussion of principles[].Journal of Hydronautics.1970
  • 5O’Callaghan JF,Mark DM.The extraction of drainage networks from digital elevation data[].Computer Vision.1984
  • 6Planchon O,Darboux F.A fast, simple and versatile algorithm to fill the depressions of digital elevation models[].Catena.2001
  • 7Tarboton D G.A new method for the determination of flow directions and upslope areas in grid digital elevation models[].Water Resources.1997
  • 8Jenson SK,Domingue JO.Extracting topographic structure from digital elevation data for geographic information system analysis[].Photogrammetric Engineering and Remote Sensing.1988
  • 9Beven KJ,Kirkby MJ.A physically based variable contributing area model of basin hydrology[].Hydrological Sciences Journal.1979
  • 10MARKS D,DOZIER J,FREW J.Automated Basin Delineation from Digital Elevation Data[].Geographic Processing.1984

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部