• The Journal of Engineering Geology
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• v.18 no.2
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• pp.191-196
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• 2008

This study is a case study for application of the RTI warning model to Korea which was previously developed to predict landslide potential and occurrence time during a rainfall event. The rainfall triggering index (RTI) is defined as the product of the rainfall intensity I (mm/hr) and the effective accumulated rainfall $R_t$ (mm). This index is used to evaluate the landslide and debris-flow occurrence potential at time t during a rainfall event. The upper critical value ($RTI_{UC}$) of RTI and the lower critical value ($RTI_{LC}$) of RTI can be determined by historical rainfall data of a certain area. When the rainfall intensity exceeds the upper critical value, there are high potential to occur land-slides. The analysis result can predict landslide occurrence time of an area during a rainfall event as well as land-slide potential. The result can also be used as an important data to issue early-warning of landslides. In order to apply the RTI warning model to Korea this study analyzed rainfall data and landslides data in Inje county, Gangwon province, Korea from July 13 to July 19, 2006. According to the analysis result, the rainfall intensity exceeded the upper critical value 23 hours ago, 11 hours ago, and 9 hours ago from 11:00 in the morning, July 16. Therefore, landslide warnings would be issued three times for people evacuation for avoiding or reducing hurts and dam-ages from landslides in mountainous areas of Inje.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1817-1821
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• 2010

본 연구에서의 지리정보시스템(GIS)을 이용한 사방댐 입지선정모델 개발은 산사태 발생 예측을 위한 사면안정성 평가 기준을 개발하여 사방댐 지점을 선정하기 위하여 체계적으로 표준화된 시스템을 구축하는 것이 목표이며, 2002년 태풍 '루사'와 2003년 태풍 '매미'에 의하여 토석류와 산사태가 발생한 서부경남 지역의 38개 지점에 대하여 항공사진 수집 및 현장조사를 수행하고, 산사태 발생에 관계되는 강우, 지형, 지질 및 토양, 임상 등을 인자로서 규정하였다. 연구결과 서부경남지역에서 발생한 산사태는 지리산, 가야산, 좌굴산 등 EL. 500m 이상의 비교적 고도가 높은 산악지역에서 지형성 집중호우에 의하여 발생하는 것으로 분석되었으며, 강우량과 산사태의 상관분석결과 시강우량 70mm 이상 및 누가강우량 230mm 이상에서 산사태의 발생빈도가 높은 것으로 나타났다. 또한 산사태 발생지점에서의 고도(평균해수면 기준)와 능선의 고도와의 비를 백분율로 계산하여 빈도를 살펴보면 산사태 발생지점이 능선의 90% 이상의 고도에서 산사태의 발생빈도가 53%로 가장 높고, 80-90%는 21%, 70-80% 16%의 순으로 산사태 발생빈도가 감소하고 있으며, 고도가 더욱 낮아져 산사태 발생지점이 60% 이하로 내려가면 산사태 발생빈도는 급격히 감소한다. 예를 들어 능선의 고도가 1000m일 경우 900m 이상의 고도(90% 이상)에서 산사태 발생빈도가 가장 높고 600m 이하의 고도(70% 이하)에서는 발생빈도가 급격히 저하하는 것으로 나타났다. 산사태 발생지점의 표면 굴곡도에 따른 산사태의 발생빈도는 대부분의 평행사면에서 74%, 약간 오목사면에서 26%가 발생하는 것으로 나타났다. 각 지구의 지질 및 토양별 산사태 발생빈도는 화성암계열의 지질 및 자갈/암괴 섞인 토사의 토양에서 발생하는 것으로 분석되었고, $34-40^{\circ}$ 사면경사에서 40%, $26-34^{\circ}$ 사면경사에서 26%, $26^{\circ}$ 이하의 사면경사에서 22%가 주로 발생하였으며, $40^{\circ}$ 이상의 높은 사면경사에서는 극히 미미하였다. 또한 임상 기준으로는 침엽수림에서 주로 발생하는 것으로 나타났다. 본 연구에서는 이상의 결과를 기초로 매우 안정, 안정, 부분적 안정, 불안정, 매우 불안정, 위험 지역으로 구분하고, 평가한 결과는 불안정 33개소, 매우 불안정 5개소 등 38개소 지점 모두에 사방댐 설치가 필요한 것으로 분석되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.427-427
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• 2018

최근 집중호우나 극한 강우사상으로 인하여 산사태나 토석류와 같은 산지재해가 빈번하게 발생하고 있으며 특히 우리나라는 지형 특성상 주거지역이 산지와 인접해 있는 경우가 많아 재해발생 시 피해를 가중시키는 원인이 되고 있다. 산지재해는 예측하기가 어렵고 산지에서 발생한 토석류가 계곡을 따라 흘러 내려와 도심지 및 산지와 인접한 도로나 주택지에 많은 피해를 발생 시키고 있다. 본 연구에서는 해마다 반복적으로 발생하고 있는 산사태나 토석류와 같은 재해의 피해저감과 원인분석을 위하여 강원도 삼척시 도계읍 일대를 대상지역으로 선정하고 산지유역의 위험성 분석을 위하여 사면안정성 예측 모델인 SINMAP 모형을 사용하여 산지재해가 발생 가능한 위험지역 및 안전한 구간을 분석하고 지형분류기법 중의 하나인 Topographic Position Index(TPI) 분석방법을 통해 대상지역의 지형위치지수를 계산하여 위험지형을 분류하였다.

• The Journal of Engineering Geology
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• v.18 no.1
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• pp.69-81
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• 2008

Landslide researches are divided to a method of interrelationship for various factors, method of predicting landslide possibility, and method of estimating landslide risk which are occurring landslides in the natural slope. Most of landslides occurred in natural slope are caused by a heavy rainfall in summer season. Weathered soil layer located in upper side of rock mass was occurred. As well as, they are announced to have an influence to geometry, geology, soil characteristics, and precipitation in the natural slope. In order to investigate and interpret the variety of landslides from field investigation to risk analysis, landslide analysis process due to geotechnical and geological opinions are systematically demanded. In this research, the study area is located in Macheon area, Gyeongsangnam-do and performed the landslide investigation. From the results of landslide investigation and analysis, optimized standard model based on natural landslide is proposed to high technical method of landslide investigation and interpretation.

• Economic and Environmental Geology
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• v.47 no.1
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• pp.49-59
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• 2014

Rainfall-induced landslides are caused by reduction of effective stress and shear strength due to rainfall infiltration. In order to analyze the susceptibility of landslides, the statistical analysis approach has been used widely but this approach has the limitation which cannot take into account of landslide triggering mechanism. Therefore, the physically based model which can consider the process of landslide occurrence was proposed and commonly used. However, the most previous physically based model analyses evaluate and consider the strength characteristics for saturated soil only in the susceptibility analysis. But the strength parameters for unsaturated soil such as matric suction should be considered with the strength parameters for saturated soil since the shear strength in unsaturated soil also plays important role in the stability of slope. Consequently this study suggested the modified physically based slope model which can evaluate strength characteristics for both of saturated and unsaturated soils. In addition, this study evaluated the thickness of saturated part in slope with rainfall intensity and hydraulic characteristics of slope on the basis of physically based model. In order to evaluate the feasibility, the proposed model was applied to practical example in Jinbu area, Gangwon-do, which was experienced large amount of landslides in July 2006. The ROC graph analysis was used to evaluate the validation of the model, and the analysis results were compared with the results of the previous analysis approach.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.428-432
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• 2016

자연재해는 전 세계적으로 몇 조원에 이르는 피해를 주고 있으며 근래에는 기후변화로 인한 이상기후현상으로 집중호우의 빈도가 증가하고 있으며 홍수, 산사태 토석류 등 발생빈도가 늘어나고 있는 추세이다. 최근 2011년 서울에서 발생한 우면산 토석류의 피해와 강원도 일부 지역의 피해로 인해 많은 피해가 일어났으며, 국가에서는 산사태 피해를 최소화하기 위해서는 장기적으로는 위험한 지역에 구조물을 설치하는 등 예방사방을 실시하고, 단기적으로는 위험요소의 제거와 위험지역의 예측을 통한 경계피난체재를 철저히 할 필요성이 강조되고 있는 실정이다. 특히, 강원도는 산지로 이루어져 있으며, 매년 집중호우나 태풍이 지나간 다음, 많은 양의 강우량으로 인해 산길을 지나는 도로에 토석류로 인해 길이 막혀 이동이 불가능 하게 되거나 산지 아래에 있는 건물이 산에서 쓸려서 내려오는 토사와 나무에 의해 파괴되어 물질적인 피해를 입는 영상이 뉴스를 통해 많이 접하고 있다. 본 연구에서는 토석류에 대한 전반적인 특성을 설명하고 체계적인 관리가 필요하다. 연구 지역은 춘천지역을 대상으로 SINMAP 모델 기법의 조도계수와 특성을 고려한 위험지도를 작성하였고 산사태 일부 지역에 대한 위험도 평가를 하였다.

• The Journal of Engineering Geology
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• v.18 no.3
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• pp.303-309
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• 2008

A probability of slope hazards was predicted at a natural terrain around the stone relics of Jinjeon-saji area, which is located in Yangyang, Kangwon Province. As the analyzing results of field investigation, laboratory test and geology and geomorphology data, the effect factors of landslides occurrence were evaluated. Also, the landslides prediction map was made up using the prediction model by the effect factors. The landslide susceptibility of stone relics was investigated as the grading classification of occurrence probability. In the landslides prediction map, the high probability area was $3,489m^2$ and it was 10.1% of total prediction area. The high probability area has over 70% of occurrence probability. If landslides are occurred at the predicted area, the three stories stone pagoda of Jinjeon-saji(National treasure No. 122) and the stone lantern of Jinjeon-saji(Treasure No.439) will be collapsed by debris flow.

• The Journal of Engineering Geology
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• v.26 no.1
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• pp.23-32
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• 2016

This study evaluates landslide susceptibility using statistical analysis by SVM (support vector machine) and the illite index of clay minerals extracted from ASTER(advanced spaceborne thermal emission and reflection radiometer) imagery which can be use to create mineralogical mapping. Landslide locations in the study area were identified from aerial photographs and field surveys. A GIS spatial database was compiled containing topographic maps (slope, aspect, curvature, distance to stream, and distance to road), maps of soil properties (thickness, material, topography, and drainage), maps of timber properties (diameter, age, and density), and an ASTER satellite imagery (illite index). The landslide susceptibility map was constructed through factor correlation using SVM to analyze the spatial database. Comparison of area under the curve values showed that using the illite index model provided landslide susceptibility maps that were 76.46% accurate, which compared favorably with 74.09% accuracy achieved without them.

• Proceedings of the KSEG Conference
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• 2003.04a
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• pp.11-19
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• 2003

• Economic and Environmental Geology
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• v.50 no.3
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• pp.239-250
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• 2017

Physically based landslide susceptibility analysis has been recognized as an effective analysis method because it can consider the mechanism of landslide occurrence. The physically based analysis used the slope geometry and geotechnical properties of slope materials as input. However, when the physically based approach is adopted in regional scale area, the uncertainties were involved in the analysis procedure due to spatial variation and complex geological conditions, which causes inaccurate analysis results. Therefore, probabilistic method have been used to quantify these uncertainties. However, the uncertainties caused by lack of information are not dealt with the probabilistic analysis. Therefore, fuzzy set theory was adopted in this study because the fuzzy set theory is more effective to deal with uncertainties caused by lack of information. In addition, the vertex method and Monte Carlo simulation are coupled with the fuzzy approach. The proposed approach was used to evaluate the landslide susceptibility for a regional study area. In order to compare the analysis results of the proposed approach, Monte Carlo simulation as the probabilistic analysis and the deterministic analysis are used to analyze the landslide susceptibility for same study area. We found that Fuzzy Monte Carlo simulation showed the better prediction accuracy than the probabilistic analysis and the deterministic analysis.