Tracking long-term effects of check dams and afforestation on debris flow mitigation in an active gully

Guanyu Zhou, Liqun Lyu (), Jun Li, Shumin Lyu, Chao Ma, Yunqi Wang, Yujie Wang, Mengzhen Xu and Zhaoyin Wang
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Guanyu Zhou: Beijing Forestry University
Liqun Lyu: Beijing Forestry University
Jun Li: Beijing Forestry University
Shumin Lyu: Beijing Forestry University
Chao Ma: Beijing Forestry University
Yunqi Wang: Beijing Forestry University
Yujie Wang: Beijing Forestry University
Mengzhen Xu: Tsinghua University
Zhaoyin Wang: Tsinghua University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 3, No 14, 2479-2498

Abstract: Abstract Check dams and afforestation are widely used to control debris flows; however, the combined effects of mitigation changes caused by sedimentation behind the check dams as well as the growth of vegetation are unclear. This paper reports long-term measurements of the erosion base level behind check dams along the Shengou gully, which is an active debris flow gully with 19 shallow soil landslides along its banks. The loose sediment on the shallow soil landslides, which is affected by afforestation, is the main source of material and energy for debris flows in this gully. The change in the mechanical properties of the loose sediment on the shallow soil landslides was determined. Based on the mechanical properties of the shallow soil landslides and the erosion base level behind the check dams, the volume and potential energy of the shallow soil landslide sediment were calculated. A model of the vegetation coverage, shallow soil landslide energy, and debris flow volume was established and applied to the Shengou gully. The results show that the model can evaluate the different benefits of check dams and afforestation on debris flow mitigation given the sedimentation behind the check dams and the vegetation growth.

Keywords: Debris flow; Check dam; Afforestation; Sedimentation; Energy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-023-06289-z

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