• 한국지반환경공학회 논문집
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• 제18권2호
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• pp.21-27
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• 2017

In order to evaluate landslide susceptibility in Yanbian region, this study analyzed 7 factors related to landslide occurrence, such as soil, geology, land use, slope, slope aspect, fault and river by Analytic Hierarchy Process (AHP), and calculated the weights of these 7 hazard-induced factors, determined the internal weights and the relative weights between various factors. According to these weights, combining the Remote Sensing technology (RS) with Geographic Information System technology (GIS), the selected area was evaluated by using GIS raster data analysis function, then landslide susceptibility chart was mapped out. The comprehensive analysis of AHP and GIS showed that there has unstable area with the potential risk of sliding in the research area. The result of landslide susceptibility agrees well with the historical landslides, which proves the accuracy of adopted methods and hazard-induced factors.

• Geomechanics and Engineering
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• 제24권5호
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• pp.407-418
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• 2021

Due to the complexity of the causes of the sliding mass instabilities, landslide susceptibility and hazard evaluation are difficult, but they can be more carefully considered and regionally evaluated by using new programming technologies to minimize the hazard. This study aims to evaluate the landslide hazard zonation in the Tabriz region, Iran. A fuzzy logic-based multi-criteria decision-making method was proposed for susceptibility analysis and preparing the hazard zonation maps implemented in MATLAB programming language and Geographic Information System (GIS) environment. In this study, five main factors have been identified as triggering including climate (i.e., precipitation, temperature), geomorphology (i.e., slope gradient, slope aspect, land cover), tectonic and seismic parameters (i.e., tectonic lineament congestion, distribution of earthquakes, the unsafe radius of main faults, seismicity), geological and hydrological conditions (i.e., drainage patterns, hydraulic gradient, groundwater table depth, weathered geo-materials), and human activities (i.e., distance to roads, distance to the municipal areas) in the study area. The results of analyses are presented as a landslide hazard map which is classified into 5 different sensitive categories (i.e., insignificant to very high potential). Then, landslide susceptibility maps were prepared for the Tabriz region, which is categorized in a high-sensitive area located in the northern parts of the area. Based on these maps, the Bozgoosh-Sahand mountainous belt, Misho-Miro Mountains and western highlands of Jolfa have been delineated as risk-able zones.

• 한국환경과학회지
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• 제18권11호
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• pp.1189-1197
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• 2009

The purpose of this research was develop tailored landslide hazard assessment table (LHAT) in Gyeongsangbuk-do Province and propose building strategies on environmental information system to estimate landslide hazard area according to LHAT. To accomplish this purpose, this research investigated factors occurring landslide at 172 landslide occurred sites in 23 city and county of Gyeongsangbuk-do Province and analyzed what factors effected landslide occurrence quantity using the multiple statistics of quantification method(I). The results of analysis, factors affecting landslide occurrence quantity were shown in order of slope position, slope length, bedrock, aspect, forest age, slope form and slope. And results of the development of LHAT for predict mapping of landslide-susceptible area in Gyeongsangbuk-do Province, total score range was divided that 107 under is stable area(IV class), 107~176 is area with little susceptibility to landslide(III class), 177~246 is area with moderate susceptibility to landslide(II class), above 247 area with severe susceptibility to landslide(I class). According to LHAT, this research built landslide attribute database and made 7 digital theme maps at mountainous area located in Goryeong Gun, Seongju-Gun, and Kimcheon-City. The results of prediction on degree of landslide hazard using environmental information system, area with little susceptibility to landslide(III class) occupied 65.56% and severe susceptibility to landslide(I class) occupied 0.51%.

• 지질공학
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• 제24권4호
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• pp.473-486
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• 2014

본 연구에서는 부산광역시 중심부에 위치한 황령산의 암반사면 재해 취약성 정도를 평가하기 위하여 산사태 재해위험지도를 작성하였다. 황령산은 동래단층 및 일광단층 사이에 위치하며 퇴적암, 안산암질 화산암류, 안산암, 반려암 및 화강암질암으로 이루어져 있다. 기존 연구에서의 절리자료, 암반강도 등의 데이터베이스와 야외조사를 통해 얻어진 자료를 대상으로 ArcGIS를 이용한 요소별 주제도를 작성하였다. 또한 국립재난안전연구원의 점검표를 활용한 경험론적 방법으로 황령산 일대의 암반사면재해 취약성을 나타내었다. 연구결과 황령산 일대의 암반사면은 매우 안정-안정 영역에 해당하는 것으로 확인되나 과거 산사태 발생지와 인접지역은 중간정도의 안정성을 나타내고 있다.

• 한국산림과학회지
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• 제97권3호
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• pp.332-339
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• 2008

경상북도 23개 시․군 산사태 발생지 172개소를 대상지로 선정하여 산사태 발생 특성을 다양한 요인별로 조사 분석하여 산사태 발생 위험 예측을 위한 판정기준표를 작성하였다. 산사태 위험 판정기준표는 수량화 I류를 이용하여 분석하였으며, 산사태 발생량에 영향을 많이 주는 요인은 경사위치, 경사길이, 모암, 방위, 임분경급, 종단명형, 경사도의 순으로 나타났다. 산사태 발생 위험 예측을 위한 산사태 붕괴 위험도 판정기준표를 작성한 결과, 107점 미만 : 안정(IV등급), 107~176점 : 위험도 소(III등급), 177~246점 : 위험도 중(II등급), 247점 이상 : 위험도 대(I등급)로 붕괴 위험도가 구분되었다.

• 한국측량학회지
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• 제34권6호
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• pp.597-607
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• 2016

The goal of this study was to analyze landslide susceptibility using two different models and compare the results. For this purpose, a landslide inventory map was produced from a field survey, and the inventory was divided into two groups for training and validation, respectively. Sixteen landslide conditioning factors were considered. The relationships between landslide occurrence and landslide conditioning factors were analyzed using the FR (Frequency Ratio) and EBF (Evidential Belief Function) models. The LSI (Landslide Susceptibility Index) maps that were produced were validated using the ROC (Relative Operating Characteristics) curve and the SCAI (Seed Cell Area Index). The AUC (Area under the ROC Curve) values of the FR and EBF LSI maps were 80.6% and 79.5%, with prediction accuracies of 72.7% and 71.8%, respectively. Additionally, in the low and very low susceptibility zones, the FR LSI map had higher SCAI values compared to the EBF LSI map, as high as 0.47%p. These results indicate that both models were reasonably accurate, however that the FR LSI map had a slightly higher accuracy for landslide susceptibility mapping in the study area.

• Steel and Composite Structures
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• 제47권4호
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• pp.451-454
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• 2023

Landslides are one of the natural disasters that cause a lot of financial and human losses every year It will be all over the world. China, especially. The Mainland China can be divided into 12 zones, including 4 high susceptibility zones, 7 medium susceptibility zones and 1 low susceptibility zone, according to landslide proneness. Climate and physiography are always at risk of landslides. The purpose of this research is to prepare a landslide hazard map using the Hierarchical Analysis Process method. In the GIS environment, it is in a part of China watershed. In order to prepare a landslide hazard map, first with Field studies, a distribution map of landslides in the area and then a map of factors affecting landslides were prepared. In the next stage, the factors are prioritized using expert opinion and hierarchical analysis process and nine factors including height, slope, slope direction, geological units, land use, distance from Waterway, distance from the road, distance from the fault and rainfall map were selected as effective factors. Then Landslide risk zoning in the region was done using the hierarchical analysis process model. The results showed that the three factors of geological units, distance from the road and slope are the most important have had an effect on the occurrence of landslides in the region, while the two factors of fault and rainfall have the least effect The landslide occurred in the region.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.129-131
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• 2003

The aim of this study is to evaluate the hazard of landslides at Penang, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. The topographic and geologic data and satellite image were collected, processed and constructed into a spatial database using GIS and image processing. The used factors that influence landslide occurrence are topographic slope, topographic aspect topographic curv ature and distance from drainage from topographic database, geology and distance from lineament from the geologic database, land use from TM satellite image and vegetation index value from SPOT satellite image. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by probability - likelihood ratio - method. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the hazard map and the existing data on landslide location.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.141-143
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• 2003

The aim of this study is to evaluate the susceptibility of landslides at Clicap area, Indonesia , using a Geographic Information System (GIS). Landslide locations were identified from field surveys. The topographic and geological map were collected and constructed into a spatial database using GIS. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography, were calculated from the topographic database and lihology and fault was extracted from the geological database. Then landslide susceptibility was analyzed using the landslide-occurrence factors by likelihood methods. The results of the analysis were verified using the landslide location data. The GIS was used to analyze the vast amount of data efficiently . The results can be used to reduce associated hazards, and to plan land use and construction.

• 자원환경지질
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• 제34권4호
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• pp.385-394
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• 2001

우리나라는 매년 여름철 집중호우로 인한 산사태로 인한 인명 및 재산 피해가 계속 반복적으로 발생하고 있다. 이러한 현상은 반복적으로 발생하고 있고, 집중호우도 기상이변이 아닌 반복적으로 발생하고 있어, 이에 대한 대책마련이 시급한 현실이다. 그리고 연구지역인 울산광역시는 대규모 석유화학단지를 비롯하여 자동차 공장, 조선소 등 대규모 시설물들이 집중되어 있는 지역으로, 따라서 광역적인 산사태 평가 기법을 적용하였다. 산사태 평가를 위해 연구지역의 지형, 지질, 토양, 임상, 토지이용, 기상, 인구, 시설물 등 각종 DB를 수집 및 구축하였으며, 이를 이용하여 취약성, 가능성, 위험성 순으로 산사태 분석을 실시하였다. 취약성은 강우, 지진 등 산사태를 직접적으로 유발시키는 요인이 발생하였을 때 그 지역이 얼마나 산사태 발생에 취약한가를 나타내는 것으로, 지형 DB에서는 경사, 경사방향, 지형곡률 등을, 토양 DB에서는 종류, 모재, 배수, 유효토심 등을, 임상 DB에서는 종류, 경급, 영급, 밀도 등을 그리고 토지이용 등을 중첩하여 분석하였다. 그리고 가능성은 산사태 유발요인을 가정한 후 산사태가 일어날 가능성을 나타내며, 취약성 분석 결과에 확률강우량도를 중첩하여 분석하였다. 위험성은 산사태 발생시 인명 및 시설물의 피해 가능성을 나타내며, 가능성 분석 결과에 피해요소인 인구, 시설물 등을 중첩하여 분석하였다. 이러한 연구결과는 산사태 피해 예방을 위한 도시계획 및 토지이용 계획의 기초자료로서 사용될 수 있다.