[1]Li Zesen,Guang Huibing,Zhang Xinyu,et al.DEM Resolution Selection in the Yanhe River Basin Based on Topographic Scale Effect Curve and Information Entropy Theory[J].Research of Soil and Water Conservation,2024,31(04):42-49,58.[doi:10.13869/j.cnki.rswc.2024.04.026]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 04
Page number:
42-49,58
Column:
Public date:
2024-06-30
- Title:
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DEM Resolution Selection in the Yanhe River Basin Based on Topographic Scale Effect Curve and Information Entropy Theory
- Author(s):
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Li Zesen1, Guang Huibing1, Zhang Xinyu1, Yan Binglong2, Jiao Feng1,3
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(1.College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.Lianyungang Water Resources Planning and Design Institute, Co., Ltd., Lianyungang, Jiangsu 222006, China; 3.Institute of Soil and Water Conservation, MWR & CAS, Yangling, Shaanxi 712100, China)
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- Keywords:
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DEM; resolution; basin topographic parameters; information entropy; mutual information entropy; Yanhe River Basin
- CLC:
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P208
- DOI:
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10.13869/j.cnki.rswc.2024.04.026
- Abstract:
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[Objective]The aims of this study are to determine the appropriate DEM resolution for geomorphic hydrology research in a small watershed of the Loess Plateau, explore the applicability of scale effect curve and information entropy method, and provide a new perspective and approach for determining the appropriate resolution. [Methods]Taking Yanhe River Basin in the loess hilly region as the research area, ArcGIS was used to resample the original resolution DEM, obtain multiple groups of DEM with different resolutions, extract the terrain attribute values at corresponding scales, and draw two different scale effect curves(¡®average slope-resolution'and¡®local variance mean-resolution'curves). Information entropy and mutual information entropy are introduced to distinguish suitable DEM resolution based on actual terrain. [Results](1)In the Yanhe River Basin with complex terrain, the results obtained by different determination methods are different, while the results of local variance mean, information entropy and mutual information entropy are similar.(2)The results of determining the appropriate resolution by different terrain attributes are different. The appropriate resolution obtained by profile curvature and plane curvature is similar(the local mean variance is 15¡«20 m, and the information entropy and mutual information entropy are both 15 m), and the difference of the appropriate resolution obtained by slope is greater than that obtained by curvature(the local mean variance is 20¡«35 m). The results of information entropy and mutual information entropy are both 20 m. [Conclusion]Both local variance mean and information entropy method are suitable for DEM resolution determination in this area, and the appropriate DEM resolution in Yanhe River Basin is 15¡«20 m.