• Journal of Korean Society of Disaster and Security
• /
• v.17 no.1
• /
• pp.1-8
• /
• 2024

In Korea, mountainous areas cover 60% of the land, leading to increased factors such as concentrated heavy rainfall and typhoons, which can result in debris flow and landslide. Despite the high risk of disasters like landslides and debris flow, there has been a tendency in most regions to focus more on post-damage recovery rather than preventing damage. Therefore, in this study, precise topographic data was constructed by conducting on-site surveys and drone measurements in areas where debris flow actually occurred, to analyze the risk zones for such events. The numerical analysis program RAMMS model was utilized to perform debris flow analysis on the areas prone to debris flow, and the actual distribution of debris flow was compared and analyzed to evaluate the applicability of the model. As a result, the debris flow generation area calculated by the RAMMS model was found to be 18% larger than the actual area, and the travel distance was estimated to be 10% smaller. However, the simulated shape of debris flow generation and the path of movement calculated by the model closely resembled the actual data. In the future, we aim to conduct additional research, including model verification suitable for domestic conditions and the selection of areas for damage prediction through debris flow analysis in unmeasured watersheds.

• Smart Structures and Systems
• /
• v.15 no.6
• /
• pp.1583-1600
• /
• 2015

When natural disasters occur, including earthquakes, tsunamis, and debris flows, they are often accompanied by various types of damages such as the collapse of buildings, broken bridges and roads, and the destruction of natural scenery. Natural disaster detection and warning is an important issue which could help to reduce the incidence of serious damage to life and property as well as provide information for search and rescue afterwards. In this study, we propose a novel computer vision technique for debris flow detection which is feature-based that can be used to construct a debris flow event warning system. The landscape is composed of various elements, including trees, rocks, and buildings which are characterized by their features, shapes, positions, and colors. Unlike the traditional methods, our analysis relies on changes in the natural scenery which influence changes to the features. The "background module" and "monitoring module" procedures are designed and used to detect debris flows and construct an event warning system. The multi-criteria decision-making method used to construct an event warring system includes gradient information and the percentage of variation of the features. To prove the feasibility of the proposed method for detecting debris flows, some real cases of debris flows are analyzed. The natural environment is simulated and an event warning system is constructed to warn of debris flows. Debris flows are successfully detected using these two procedures, by analyzing the variation in the detected features and the matched feature. The feasibility of the event warning system is proven using the simulation method. Therefore, the feature based method is found to be useful for detecting debris flows and the event warning system is triggered when debris flows occur.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.1
• /
• pp.139-147
• /
• 2023

As heavy precipitation rates have increased due to climate change, the risk of landslides has also become greater. Studies in the field of 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 contained the problem of the simulation results being overly concentrated on the maximum slope line. To improve the model, the center cell height was 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 assessment technique suitable for the polygon and polyline layers was applied, respectively. Finally, by combining the evaluated risk with the attribute 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 technique to express detailed risk information on a map. This work will aid in the user-friendly development of a debris flow risk assessment system.

• Journal of Korean Society of Disaster and Security
• /
• v.12 no.3
• /
• pp.1-11
• /
• 2019

This study selected the national park area of Mt. Seorak in Inje-gun, Gangwon-do, where a lot of debris flow occurred due to the heavy rainfall and conducted a field survey. In addition, topographic spatial data were constructed using the GIS technique to analyze watershed characteristics. For the construction of terrain data after the disaster, the debris flow occurrence section was scanned and the 3D topographic data was constructed using the terrestrial LiDAR. LiDAR terrain data are compared to digital maps(before disaster) to assess precision and topographic data before and after the disaster were compared and analyzed. Debris flow diffusion area was calculated using FLO-2D model and compared debris flow occurred section.

• Journal of Korean Society of Disaster and Security
• /
• v.13 no.3
• /
• pp.45-58
• /
• 2020

Due to a high portion of mountainous terrains in Korea, debris flow and its disasters have been increased. In addition, recently localized flash-floods caused by climate change should add frequencies and potential risks. Grasping and understanding the behaviors of debris flow would allow us to prevent the consequent disasters caused by its occurrence. In this study, we developed a number of cases by changing the bottom slopes and their curvatures and investigated their effects on potential damage caused by the debris flow using FLO-2D. As simulating each bed slopes we analyzed for velocity, depth, impact, reach distance, and reach shape. As a result the lower the average slope, the greater the influence of its curvature and the numerical results were analyzed with showed a well-marked difference in impact stress and flow velocity. The result from this study could be referred for protecting from the debris flows when design countermeasure structures in mountainous regions.

• Journal of Korean Society of Disaster and Security
• /
• v.12 no.2
• /
• pp.15-24
• /
• 2019

In the previous study, the rainfall data of 1 hour, 6 hours and 3 days were used as the rainfall criterion according to the grade to trigger the debris flow in the highway area, using the rainfall data of Gangwon area and the rainfall time-series data at the spot where the debris flow occurred. In this study, we propose an early warning criterion of the highway debris flow triggering through appropriate combination of three rainfall criteria selected through previous studies and adjustments of rainfall criterion in the highway debris flow triggering. In addition, simulations were conducted using the time-series rainfall data of 2010~2012, which had a large amount of precipitation for the five sites where debris flows occurred in 2013. As a result of the study, the criteria for the early warning of highway unsteadiness on the highway were prepared. In case of the grade-based adjustment, it is preferable to apply the unified rating to the grade B. Also, if the fatigue of the monitoring is not a problem, adjusting it to A or S may be a way to positively cope with the occurrence of highway debris flow.

• 한국방재학회:학술대회논문집
• /
• 2007.02a
• /
• pp.267-270
• /
• 2007

In order to reduce flood damage with debris flow, it is necessary to build up comprehensive flood control, including structural and non-structural countermeasures. In this paper, the decision making factors of individual refuge activities which are major non-structural activities to save peoples, lives against flood have been estimated based on questionnaire survey. Furthermore, in order to effective debris flow countermeasures, its simulation has carried out and it will useful for minimizing their damages.

• Spatial Information Research
• /
• v.16 no.1
• /
• pp.11-17
• /
• 2008

In order to reduce flood damage with debris flow, it is necessary to build up comprehensive flood control, including structural and non-structural countermeasures. In this paper, the decision making factors of individual refuge activities which are major non-structural activities to save peoples, lives against flood have been estimated based on questionnaire survey. Furthermore, in order to effective debris flow countermeasures, its simulation has carried out and it will useful fur minimizing their damages.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.5
• /
• pp.621-630
• /
• 2023

In this study, to investigate an energy reduction effect by field application of cylindrical baffle arrays, the 3D Debris flow numerical analysis was conducted with various baffle configurations for the simulation of a real-scale valley, where the cylindrical baffle arrays were installed. For this, the valley of the watershed was modeled using terrestrial LiDAR data from the real-scale experiment site. Numerical analysis simulated the flow behavior of debris flow and the structures using Smooth Particle Hydrodynamics (SPH) technique of ABAQUS (Ver. 2021). The numerical analysis results that the case without cylindrical baffle arrays had a similar velocity change to that of the real-scale experiment. Also, the installation of baffles significantly reduced the frontal velocity of debris flow. Furthermore, increasing the baffle height increased the downstream energy reduction because of the higher flow impedance of taller baffles.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.7 no.4
• /
• pp.59-66
• /
• 2007

The bridge crossing river is the one of the major factors causing backwater level rising. Furthermore, the bridges in the mountainous areas increase the flood damage in the upstream of the bridge due to the blockage by debris. In this research, the effects of debris to the magnitude of flood damage in the study river basin were simulated by using HEC-RAS and HEC-GeoRAS models. With assumption that the backwater caused by debris blocking the space between bridge piers is the only factor causing inundation, the unsteady flow simulation was carried out with various case studies. The potential inundation area with the overflow locations and volumes could be estimated as the results of simulation. However, the simulation results also reveal the limitations of inaccurate estimation of inundation area and depth. To overcome these hindrances, DEM and satellite images were applied to the simulation. By readjusting the inundation area using digital maps and satellite images and calibrating overflow volume and depth using DEM, the accuracy of simulation could be increased resulting more accurate flood damage estimation.