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Effect of digital elevation model spatial resolution on depression storage
Authors:Jingming Hou  Xinyi Li  Zhanpeng Pan  Junhui Wang  Ruike Wang
Affiliation:1. State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, China;2. Northwest Survey, Design and Research Institute Co., Ltd., Xi'an, China
Abstract:Surface water storage—including wetlands and other small waterbodies—has largely been disregarded in traditional hydrological models. In this paper, the grid resampling method is adopted to study the influence of the digital elevation model (DEM) grid resolution on depression storage (DS) considering different rainfall return periods. It is observed that the DEM grid size highly affects DS, and the higher the grid resolution is, the larger the DS value. However, when the grid resolution reaches a certain value, the maximum DS value decreases. This suggests that a critical grid resolution value exists at which the water storage capacity of depressions is maximized, namely, 20 m in this work (except for the overall area simulation under infiltration). This phenomenon is further verified in two test cases with and without the infiltration process, that is, calculations of the local area and without infiltration area, respectively. This research may facilitate the accurate computation of the DS process, which is greatly affected by the grid resolution, thereby improving the reliability of hydrological models.
Keywords:depression storage  digital elevation model  grid resampling  grid resolution  hydrological models  infiltration
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