[1]Li Pengfei,Wang Jinbo,Zhang Xiaochen,et al.Comparison of Erosion Monitoring Algorithms Used for Slope-Gully System Based on 3D Laser Scanning[J].Research of Soil and Water Conservation,2024,31(04):75-85.[doi:10.13869/j.cnki.rswc.2024.04.001]
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Comparison of Erosion Monitoring Algorithms Used for Slope-Gully System Based on 3D Laser Scanning
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 04
Page number:
75-85
Column:
Public date:
2024-06-30
- Title:
- Comparison of Erosion Monitoring Algorithms Used for Slope-Gully System Based on 3D Laser Scanning
- CLC:
- S157; P237
- DOI:
- 10.13869/j.cnki.rswc.2024.04.001
- Abstract:
- [Objective]The aim of this study is to elucidate the accuracy and applicability of different algorithms for detecting slope erosion, which can provide a reference for the selection and development of detection methods for soil erosion processes. [Methods]Five plots established on a natural slope in the loess hilly and gully region to conduct runoff scouring experiments. Using TLS data, we calculated erosion and sediment yield by using various methods such as Digital Elevation Model(DEM)of difference(DoD), Cloud to Cloud(C2C), Cloud to Mesh/Model(C2M), and Multiscale Model to Model Cloud Comparison(M3C2), and compared their results. [Results]The results of the uncertainty analysis showed that M3C2 produced the smallest average uncertainty, followed by C2C and C2M, while DoD yielded the largest uncertainty. The sediment yield calculated by the detection algorithms demonstrated that under high flow rates(85, 70 and 55 L/min), there was a significant linear relationship between consecutive sediment yield and cumulative sediment yield derived by the four algorithms and the corresponding measured sediment yield(R2>0.62, p<0.05), and M3C2 performed best; under low flow rates(40 and 25 L/min), no significant linear relationships were found between consecutive sediment yield and measured sediment yield, but significant linear relationships were found between cumulative sediment yield and measured sediment yield(R2>0.91, p<0.05), and DoD performed best. The spatial distribution of erosion and deposition indicated that C2C, M3C2, and DoD could reflect two stages of erosion evolution on hillslopes and gully slopes(rapid development stage and stable stage), with M3C2 being able to detect subtle topographic changes. However, M3C2 results were subject to ‘voids' in the blind area of TLS scanning due to not finding corresponding points in the normal direction. [Conclusion]The M3C2 algorithm is more suitable for detecting complex terrain, but it will still fail in the blind spot of scanning, and the algorithm should be improved in the future to help cope with more complex and drastic terrain changes.
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Last Update:
2024-06-30