Enhancing debris flow simulation accuracy through high-resolution terrain information: a case study utilizing LS-RAPID and UAV-derived models

IF 5.8 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL Landslides Pub Date : 2024-06-05 DOI:10.1007/s10346-024-02290-0
Namgyun Kim, Byonghee Jun
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Abstract

This study focused on applying numerical simulations to assess damaged areas caused by debris flows, employing the LS-RAPID program while emphasizing the importance of terrain information. Terrain information used in the numerical simulation included a 1:5000 digital terrain map and a digital surface model using an unmanned aerial vehicle. Quantification of the amount of soil that collapsed from the road embankment slope, which is the source of the debris flow, facilitated the computation of the debris flow that closely resembled real-world conditions. In particular, incorporating the high-resolution digital surface model (DSM) with 3-cm topographic information resulted in an interpretation of the actual soil flow damage range that is similar to actual observations of the digital elevation model (DEM), which had 1-m grid topographic information. This difference arises from DSM as it reflects the information of low hills downstream. The range of damage changed as the direction of the debris flow changed because of the low hill. Many variables need adjustment for the accuracy of debris flow numerical simulation. However, the direction and range of flow vary greatly depending on topographic information, highlighting the necessity of applying high-resolution terrain information. The results of debris flow simulations with high-resolution terrain information are expected to improve accuracy and help prepare risk or damage maps.

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通过高分辨率地形信息提高泥石流模拟精度:利用 LS-RAPID 和无人机衍生模型的案例研究
这项研究的重点是利用 LS-RAPID 程序进行数值模拟,评估泥石流造成的受损区域,同时强调地形信息的重要性。数值模拟中使用的地形信息包括 1:5000 数字地形图和使用无人机制作的数字地表模型。路堤斜坡是泥石流的源头,对路堤斜坡坍塌的土壤量进行量化,有助于计算出与实际情况非常相似的泥石流。特别是,将具有 3 厘米地形信息的高分辨率数字地表模型(DSM)与具有 1 米网格地形信息的数字高程模型(DEM)的实际观测结果相比较,对实际土流破坏范围的解释更为接近。这种差异来自于数字高程模型,因为它反映了下游低山丘陵的信息。由于低丘的存在,泥石流的方向发生了变化,破坏范围也随之改变。为了保证泥石流数值模拟的准确性,需要对许多变量进行调整。然而,由于地形信息的不同,泥石流的流向和范围也大不相同,这就凸显了应用高分辨率地形信息的必要性。利用高分辨率地形信息进行泥石流模拟的结果有望提高精度,并有助于绘制风险或损害地图。
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来源期刊
Landslides
Landslides 地学-地球科学综合
CiteScore
13.60
自引率
14.90%
发文量
191
审稿时长
>12 weeks
期刊介绍: Landslides are gravitational mass movements of rock, debris or earth. They may occur in conjunction with other major natural disasters such as floods, earthquakes and volcanic eruptions. Expanding urbanization and changing land-use practices have increased the incidence of landslide disasters. Landslides as catastrophic events include human injury, loss of life and economic devastation and are studied as part of the fields of earth, water and engineering sciences. The aim of the journal Landslides is to be the common platform for the publication of integrated research on landslide processes, hazards, risk analysis, mitigation, and the protection of our cultural heritage and the environment. The journal publishes research papers, news of recent landslide events and information on the activities of the International Consortium on Landslides. - Landslide dynamics, mechanisms and processes - Landslide risk evaluation: hazard assessment, hazard mapping, and vulnerability assessment - Geological, Geotechnical, Hydrological and Geophysical modeling - Effects of meteorological, hydrological and global climatic change factors - Monitoring including remote sensing and other non-invasive systems - New technology, expert and intelligent systems - Application of GIS techniques - Rock slides, rock falls, debris flows, earth flows, and lateral spreads - Large-scale landslides, lahars and pyroclastic flows in volcanic zones - Marine and reservoir related landslides - Landslide related tsunamis and seiches - Landslide disasters in urban areas and along critical infrastructure - Landslides and natural resources - Land development and land-use practices - Landslide remedial measures / prevention works - Temporal and spatial prediction of landslides - Early warning and evacuation - Global landslide database
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