• 대한공간정보학회지
• /
• 제24권2호
• /
• pp.15-24
• /
• 2016

This study conducted an evaluation of the extent of debris flow damage using SINMAP, which is slope stability analysis software based on the infinite slope stability method, and FLO-2D, a hydraulic debris flow analysis program. Mt. Majeok located in Chuncheon city in the Gangwon province was selected as the study area to compare the study results with an actual 2011 case. The stability of the slope was evaluated using a DEM of $1{\times}1m$ resolution based on the LiDAR survey method, and the initiation points of the debris flow were estimated by analyzing the overlaps with the drainage network, based on watershed analysis. In addition, the study used measured data from the actual case in the simulation instead of existing empirical equations to obtain simulation results with high reliability. The simulation results for the impact of the debris flow showed a 2.2-29.6% difference from the measured data. The results suggest that the extent of damage can be effectively estimated if the parameter setting for the models and the debris flow initiation point estimation are based on measured data. It is expected that the evaluation method of this study can be used in the future as a useful hazard mapping technique among GIS-based risk mapping techniques.

• 한국조경학회지
• /
• 제26권3호
• /
• pp.34-44
• /
• 1998

The purpose of this study is to provide the basic data for land use in the future, which result from analyzing land use, obtained after studying on the natural environment by Geographic Information System and Remote Sensing. The results of this study are as follows : ·According to the classification of land-cover, agricultural land use is relatively prominent except for overall natural covering. According to the average value of Green Vegetation Index class, the average value of GVI is 3.0, and 45% of the regions have relatively good condition of floral state. ·With a view to natural environment, the survey shows that the altitude of 90% of the total areas is below 400m, and most of them are flattened or moderately-inclined area. Therefore, this region has a good condition to be used for development. · The area for the first class in preservation degree of natural scenery of Namcheon-Myun is 2.3% of the total areas. According to the results about unstable areas on all sides, unstable districs are distributed in so small-scale units that they will be safe from some damages drawn by developing activity. But we have to consider every aspects for the future development of them. In this study, the natural environment-variables are regarded firstly, and effective designation of the land with natural environment is researched too. However, to establish more practical developing plan, ecological and human variables should be regarded.

• 한국안전학회지
• /
• 제31권1호
• /
• pp.105-110
• /
• 2016

Mountainous disasters such as landslides and debris flow are difficult to forecast. Debris flow in particular often flows along the valley until it reaches the road or residential area, causing casualties and huge damages. In this study, the researchers selected Seoraksan National Park area located at Inje County (Inje-gun), Gangwon Province-where many mountainous disasters occur due to localized torrential downpours-for the damage reduction and cause analysis of the area experiencing frequent mountainous disasters every year. Then, the researchers conducted the field study and constructed geospatial information data by GIS method to analyze the characteristics of the disaster-occurring area. Also, to extract more precise geographic parameters, the researchers scanned debris flow triggering area through terrestrial LiDAR and constructed 3D geographical data. LiDAR geographical data was then compared with the existing numerical map to evaluate its precision and made the comparative analysis with the geographic data before and after the disaster occurrence. In the future, it will be utilized as basic data for risk analysis of mountainous disaster or disaster reduction measures through a fine-grid topographical map.

• 한국방재안전학회논문집
• /
• 제14권3호
• /
• pp.17-27
• /
• 2021

본 연구에서는 6개의 기계학습 기법들을 활용하여 2019년과 2020년 전국 땅밀림 현장조사 결과를 기반으로 땅밀림 위험지역을 A부터 C까지 3개 등급(A등급: 위험, B등급: 보통, C등급: 양호)으로 구분할 수 있는 분류모형을 구축하고, 분류 정확도를 비교·분석한다. 기계학습 기법으로는 K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree, Random Forest, Extreme Gradient Boosting 총 6개를 적용하였다. 분류 정확도 분석결과, 6개의 기법 모두 0.9 이상의 우수한 정확도를 보여주었다. 수치형 자료를 학습에 적용한 경우가, 문자형 자료를 학습한 모형보다 우수한 성능을 나타냈으며, 현장조사 평가점수 자료군(C1~C4) 보다는 전문가의견이 반영된 평가점수 자료군(R1~R4)으로 학습한 모형이 정확도가 높은 것으로 분석되었다. 특히, 직접징후와 간접징후 정보를 학습에 반영한 경우가 예측정확도가 높게 나타났다. 향후 땅밀림 현장조사 자료가 지속적으로 확보될 경우, 본 연구에서 활용한 기계학습기법은 땅밀림 분류를 위한 도구로 활용이 가능할 것으로 판단된다.