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水力发电学报 ›› 2023, Vol. 42 ›› Issue (3): 26-40.doi: 10.11660/slfdxb.20230303

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DEM数据源及分辨率对流域洪水模拟影响研究

  

  • 出版日期:2023-03-25 发布日期:2023-03-25

Effect of DEM data sources and resolutions on watershed flood simulations

  • Online:2023-03-25 Published:2023-03-25

摘要: 以半干旱半湿润区的柳林流域为例,基于无人机三维倾斜摄影7 cm高分辨率和ASTER 30m两种数字高程模型(DEM)数据源,重采样获得1 m、5 m、10 m、20 m、30 m分辨率共10套DEM,构建HEC-HMS水文模型,选择1995—2021年20场洪水进行模拟,探讨DEM数据源和分辨率对洪水模拟精度的影响。结果表明:7 cm高分辨率地形数据源的1 m重采样DEM构建的模型,模拟结果相对较好,洪峰流量、径流量相对误差绝对值均值分别为16.4%和15.7%,NSE均值为0.657;ASTER 30m DEM构建的模型,洪峰流量、径流量相对误差绝对值均值分别为16%和18.7%,NSE均值为0.646,其他分辨率和数据源的DEM构建的模型,洪水过程模拟结果也差别不大。

关键词: HEC-HMS水文模型, 数字高程模型, 数据源, 分辨率, 重采样, 洪水过程模拟

Abstract: This study constructs a HEC-HMS model to simulate flood hydrographs to examine the effect of DEM data sources and resolutions on the simulations. We take an ASTER 30 m digital elevation model (DEM) and unmanned aerial vehicle (UAV) 3D tilt photography 7 cm high-resolution DEM as the data sources, and obtain ten DEMs with the resolutions of 1m, 5m, 10m, 20m and 30m by resampling. This method has been applied to 20 flood events in the semi-arid and sub-humid Liulin watershed of the 1995-2021 period. The results show that the model constructed by the 1m resampling DEMs from the 7 cm high-resolution data sources has relatively good performance; its mean relative errors are 16.4% and 15.7% for flood peak flow and runoff depth simulations, respectively, with a mean NSE value of 0.657. For the ASTER 30 m DEMs-based model, its errors are 16.0% and 18.7% and its mean NSE value is 0.646. The other DEMs-based HEC-HMS models, featured with different resolutions and data sources, show little difference in flood simulations.

Key words: HEC-HMS hydrological model, digital elevation model, data source, resolution, resample, flood hydrograph simulation

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