常凊睿,唐颖复,王璐,徐静.山丘区小流域下垫面数据精度对HEC-HMS水文模拟的影响研究[J].中国水利水电科学研究院学报,2019,17(6):470-477
山丘区小流域下垫面数据精度对HEC-HMS水文模拟的影响研究
Influence analysis of accuracy of underlying surface data on simulation results of HEC-HMS hydrological model in mountainous areas
投稿时间:2019-06-03  
DOI:10.13244/j.cnki.jiwhr.2019.06.010
中文关键词:  HEC-HMS水文模型  DEM  子流域划分  下垫面数据精度  影响分析
英文关键词:HEC-HMS hydrological model  DEM  sub-basin classification  accuracy of underlying surface data  influence analysis
基金项目:
作者单位
常凊睿 中国水利水电科学研究院, 北京 100038 
唐颖复 中国水利水电科学研究院, 北京 100038 
王璐 山西省晋城市泽州县水务局, 山西 晋城 048000 
徐静 中国水利水电科学研究院, 北京 100038 
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中文摘要:
      山丘区小流域下垫面条件复杂多变,DEM分辨率及子流域划分水平对分布式水文模型模拟结果的影响有待深入研究。本文选取小流域应用广泛的HEC-HMS分布式水文模型,在河南省栾川流域设置四种DEM分辨率方案及四种子流域划分方案,分别提取不同方案下的流域水文特征参数进行对比,并分析两种类型的数据精度对纳什系数和峰值模拟的影响。研究结果表明,与大中流域相比,DEM分辨率和子流域划分对山丘区小流域空间参数和水文模拟结果的影响要更为显著。在实际山洪预警预报工作中,为保证模拟结果的稳定性和可靠性,应尽可能选择高精度下垫面数据精度。
英文摘要:
      The underlying surface conditions of the small watersheds in mountainous areas are complex and variable,and the effects of DEM resolution and sub-basin classification on the simulation results of the distributed hydrological model should be in-depth studied. This paper selected HEC-HMS distributed hydrological model, which has been widely used in small watersheds. Four kinds of DEM resolution schemes and four sub-basin classification schemes are set up in the Luanchuan basin of Henan Province. The hydrological characteristic parameters of watershedes under different schemes are extracted and compared. Besides, the effects of two types of data accuracy on Nash coefficients and simulated results of peak discharge are analyzed. The results indicate that compared with the large and medium watersheds, DEM resolution and sub-basin classification have more significant impact on spatial parameters and hydrological simulation results of small watersheds in mountainous area. In flash flood warning and forecasting, in order to ensure the stability and reliability of the simulation results, the accuracy of the underlying surface data should be improved as much as possible.
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