Title |
GIS-based Debris Flow Risk Assessment |
Authors |
이한나(Lee, Hanna) ; 김기홍(Kim, Gihong) |
DOI |
https://doi.org/10.12652/Ksce.2023.43.1.0139 |
Keywords |
토석류; 위험도 평가; 시뮬레이션; 산사태; GIS; Random walk model Debris flow; Risk assessment; Simulation; Landslide; GIS; Random walk model |
Abstract |
As heavy precipitation rates have increased due to climate change, the risk of landslides has also become greater. Studies in the fieldof disaster risk assessment predominantly focus on evaluating intrinsic importance represented by the use or role of facilities. This work,however, focused on evaluating risks according to the external conditions of facilities, which were presented via debris flow simulation. A random walk model (RWM) was partially improved and used for the debris flow simulation. The existing RWM algorithm containedthe problem of the simulation results being overly concentrated on the maximum slope line. To improve the model, the center cell heightwas adjusted and the inertia application method was modified. Facility information was collected from a digital topographic map layer. The risk level of each object was evaluated by combining the simulation result and the digital topographic map layer. A risk assessmenttechnique suitable for the polygon and polyline layers was applied, respectively. Finally, by combining the evaluated risk with theattribute table of the layer, a system was prepared that could create a list of objects expected to be damaged, derive various statistics,and express the risk of each facility on a map. In short, we used an easy-to-understand simulation algorithm and proposed a techniqueto express detailed risk information on a map. This work will aid in the user-friendly development of a debris flow risk assessmentsystem |