长江流域资源与环境 >> 2015, Vol. 24 >> Issue (04): 585-.doi: 10.11870/cjlyzyyhj201504008

• 自然资源 • 上一篇    下一篇

基于流域地形地貌特征的分布式汇流方法

宋晓猛1,2,3, 张建云1,2, 孔凡哲3, 刘翠善1,2   

  1. 1.南京水利科学研究院水文水资源与水利工程科学国家重点实验室,江苏 南京 210029;
    2.水利部应对气候变化研究中心,江苏 南京 210029; 3.中国矿业大学资源与地球科学学院,江苏 徐州 221116
  • 出版日期:2015-04-20

DISTRIBUTED RUNOFF MODELING BASED ON WATERSHED GEOMORPHOLOGICAL CHARACTERISTICS

SONG Xiaomeng1,2,3, ZHANG Jianyun1,2, KONG Fanzhe3, LIU Cuishan1,2   

  1. 1.State Key Laboratory of HydrologyWater Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China; 2.Research Center for Climate Change of MWR, Nanjing 210029, China;3.School of Resource and Geosciences, China University of Mining & Technology, Xuzhou 221116, China
  • Online:2015-04-20

摘要:

以长江三峡区间沿渡河流域为例,采用HECHMS水文模型系统为模拟工具,基于流域下垫面特征和水动力条件提出了一种分布式单位线方法,并应用于降雨径流过程模拟。以自然分水线划分子流域,基于DEM数据和GIS工具提取河网水系特征。采用7种模型评估指标,分别从总量平衡,过程拟合,高水流量和低水流量4个角度评判模型的模拟效果及精度,并给出了模型模拟结果的量化统计指标。模拟结果表明:25场洪水中,洪峰流量相对误差小于20%的有80%,径流深相对误差小于20%的有96%,NashSutcliffe效率系数大于08的有84%。由此可知,提出的分布式汇流方法可有效利用流域下垫面特征和GIS工具提取模型参数信息,适应于无资料流域的降雨径流过程模拟应用。

Abstract:

Hydrologists have attempted to relate the hydrologic response of watersheds as runoff production from rainfall to watershed topographic structures for many years. Unit hydrograph explains many characteristics of the basin response to rainfall input. A number of approaches have been developed to derive a unit hydrograph from watershed geomorphology, but essentially they are all involved in using measurements of distance, velocity and time to derive physical characteristics of the watershed to parameterize a unit hydrograph in the absence of observed runoff and rainfall data. In order to solve the problem of being dependent on the rainfall and runoff data, taking the Yanduhe catchment of Three Gorges in Yangtze River as the study area, this paper proposed a new method to derive distributed unit hydrograph and a revised Muskingum method based on watershed geographic characteristics and hydrodynamic conditions. First, the basin is divided into a set of subbasins according to natural watershed line and topographic information is extracted based on DEM and GIS tools. Kriging interpolation method was used to estimate the precipitation depth at the centroid of each subbasin. Secondly, the areatime histograms derived by means of digital elevation model were translated to dischargetime histograms. And then the dischargetime histograms were routed through a linear reservoir and unit hydrographs were obtained. In addition, the Muskingum parameters K and x were estimated based on the physical characteristics of river reach, including slope, width and length. Finally, the HECHMS model is used to simulate and analyze the rainfallrunoff response processes coupling with proposed distributed unit hydrograph and Muskingum model. The seven evaluation indices are used to estimate and validate the simulation results involving water balance, goodnessoffit, peakflows and lowflows. The results showed that, 80% of the 25 floods has a relative error of peak flow of less than 20%, 96% has a relative error of runoff amount of less than 20%, and 84% has a NashSutcliffe coefficient of greater than 0.8 is. The simulated flow agrees well with the observed flow at the outlet of the Yanduhe catchment. The proposed distributed runoff modeling method can be used to simulate the rainfallrunoff processes in the mountain basins or these ungauged basins based on DEM data and GIS information.

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