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Effect of Digital Elevation Model Spatial Resolution on Depression Storage
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  • Jingming Hou,
  • Xinyi Li,
  • Zhanpeng Pan,
  • Junhui Wang,
  • Ruike Wang
Jingming Hou
State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China
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Xinyi Li
Xi'an University of Technology
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Zhanpeng Pan
Xi'an University of Technology
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Junhui Wang
Xi'an University of Technology
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Ruike Wang
Northwest Survey, Design and Research Institute Co., Ltd
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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. This phenomenon is further verified in two test cases with and without the infiltration process, i.e., 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.

Peer review status:UNDER REVIEW

03 Apr 2021Submitted to Hydrological Processes
07 Apr 2021Assigned to Editor
07 Apr 2021Submission Checks Completed
08 Apr 2021Reviewer(s) Assigned
17 Jun 2021Review(s) Completed, Editorial Evaluation Pending