A new method for detailed discharge and volume measurements of debris flows based on high-frequency 3D LiDAR point clouds; Illgraben, Switzerland

被引:5
|
作者
Spielmann, Raffaele [1 ,2 ,3 ]
Aaron, Jordan [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Geol Inst, Chair Engn Geol, Dept Earth Sci, Sonneggstr 5, CH-8092 Zurich, Switzerland
[2] Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland
[3] Swiss Fed Inst Technol, Sonneggstr 5, CH-8092 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Debris Flows; High-frequency LiDAR; Debris-flow Discharge; Debris-flow volume; Landslide monitoring; CATCHMENT; PATTERNS; SURGES; YIELD; FIELD; ALPS;
D O I
10.1016/j.enggeo.2023.107386
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Debris flows are one of the most dangerous landslide types in mountainous regions. Their destructiveness is strongly controlled by their high peak discharge, which can be orders of magnitude larger than for floods. In order to reduce the associated hazards, detailed field measurements of natural debris flows are required to better constrain discharge and volume of these events. In this study, we used a high-frequency 3D LiDAR (light detection and ranging) scanner in combination with video cameras to measure key properties of a debris flow that occurred in the Illgraben catchment (Switzerland). Based on the LiDAR and video data, we directly measured i) front velocity ii) surge velocity iii) surface velocity and iv) cross-sectional area at sub-second intervals. We then estimated discharge and volume using these direct measurements and considering different channel bed geometry scenarios. We compared our results to estimates based on conventional methods and found that these more established methods substantially underestimate the (peak) discharge and volume for this event. Our results will be assessed in the future by analyzing more events, but our LiDAR-based method has the potential to provide much more detailed information on hazard-related debris-flow parameters, which will have important implications for understanding debris-flow processes and ultimately reducing their risk.
引用
收藏
页数:16
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