• Title/Summary/Keyword: 산사태 위험도

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GIS Landslide Hazard Mapping Using Root Strength Reinforcement Model (GIS 기반의 뿌리보강모델을 활용한 산사태 위험도 작성방법 연구)

  • Kim, Min-Gu;Yoon, Young-Jin;Chang, Hoon
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.1 s.31
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    • pp.45-53
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    • 2005
  • Korea is formed a mountainous district at 70% of country. Damages are occurred by landslide. It is increased annually by industrial development and extension of urban area. Serious damages occurred in Kangreng area of Gangwondo by typoon Rusa in August, 2002. Landslide hazard mapping needs to forecast and to manage landslide hazard area. GIS fits landslide hazard mapping, to reduce of time, manpower and costs, to investigate a board area, to do a spatial forecast model in study site. Variety of methods is for landslide hazard mapping. A study use root strength reinforcement model. This model use factors such as topography of slope, soil depth, soil properties, and vegetation of slope. Landslide hazard map is made by this model.

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Comparison of Prediction Models for Identification of Areas at Risk of Landslides due to Earthquake and Rainfall (지진 및 강우로 인한 산사태 발생 위험지 예측 모델 비교)

  • Jeon, Seongkon;Baek, Seungcheol
    • Journal of the Korean GEO-environmental Society
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    • v.20 no.6
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    • pp.15-22
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    • 2019
  • In this study, the hazard areas are identified by using the Newmark displacement model, which is a predictive model for identifying the areas at risk of landslide triggered by earthquakes, based on the results of field survey and laboratory test, and literature data. The Newmark displacement model mainly utilizes earthquake and slope related data, and the safety of slope stability derived from LSMAP, which is a landslide prediction program. Backyang Mt. in Busan where the landslide has already occurred, was chosen as the study area of this research. As a result of this study, the area of landslide prone zone identified by using the Newmark displacement model without earthquake factor is about 1.15 times larger than that identified by using LSMAP.

Estimation of Landslide Risk based on Infinity Flow Direction (무한방향흐름기법을 이용한 산사태 위험도 평가)

  • Oh, Sewook;Lee, Giha;Bae, Wooseok
    • Journal of the Korean GEO-environmental Society
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    • v.20 no.2
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    • pp.5-18
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    • 2019
  • In this study, it was conducted a broad-area landslide analysis for the entire area of Kyungsangbuk-do Province based on spatially-distributed wetness index and root reinforcement infinity slope stability theory. Specifically, digital map, soil map and forest map were used to extract topological and geological parameters, and to build spatially-distributed database at $10m{\times}10m$ resolution. Infinity flow direction method was used for rain catchment area to produce spatially-distributed wetness index. The safety level that indicates risk of a broad-area landslide was classified into four groups. The result showed that areas with a high estimated risk of a landslide coincided with areas that recently went through an actual landslide, including Bonghwa and Gimcheon, and unstable areas were clustered around mountainous areas. A comparison between the estimation result and the records of actual landslide showed that the analysis model is effective for estimating a risk of a broad-area landslide based on accumulation of reasonable parameters.

A Study on Risk Assessment Method for Earthquake-Induced Landslides (지진에 의한 산사태 위험도 평가방안에 관한 연구)

  • Seo, Junpyo;Eu, Song;Lee, Kihwan;Lee, Changwoo;Woo, Choongshik
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.694-709
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    • 2021
  • Purpose: In this study, earthquake-induced landslide risk assessment was conducted to provide basic data for efficient and preemptive damage prevention by selecting the erosion control work before the earthquake and the prediction and restoration priorities of the damaged area after the earthquake. Method: The study analyzed the previous studies abroad to examine the evaluation methodology and to derive the evaluation factors, and examine the utilization of the landslide hazard map currently used in Korea. In addition, the earthquake-induced landslide hazard map was also established on a pilot basis based on the fault zone and epicenter of Pohang using seismic attenuation. Result: The earthquake-induced landslide risk assessment study showed that China ranked 44%, Italy 16%, the U.S. 15%, Japan 10%, and Taiwan 8%. As for the evaluation method, the statistical model was the most common at 59%, and the physical model was found at 23%. The factors frequently used in the statistical model were altitude, distance from the fault, gradient, slope aspect, country rock, and topographic curvature. Since Korea's landslide hazard map reflects topography, geology, and forest floor conditions, it has been shown that it is reasonable to evaluate the risk of earthquake-induced landslides using it. As a result of evaluating the risk of landslides based on the fault zone and epicenter in the Pohang area, the risk grade was changed to reflect the impact of the earthquake. Conclusion: It is effective to use the landslide hazard map to evaluate the risk of earthquake-induced landslides at the regional scale. The risk map based on the fault zone is effective when used in the selection of a target site for preventive erosion control work to prevent damage from earthquake-induced landslides. In addition, the risk map based on the epicenter can be used for efficient follow-up management in order to prioritize damage prevention measures, such as to investigate the current status of landslide damage after an earthquake, or to restore the damaged area.

Analysis of Landslide Hazard Area using Logistic Regression Analysis and AHP (Analytical Hierarchy Process) Approach (로지스틱 회귀분석 및 AHP 기법을 이용한 산사태 위험지역 분석)

  • Lee, Yong-jun;Park, Geun-Ae;Kim, Seong-Joon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.861-867
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    • 2006
  • The objective of this study is to analyze the landslide hazard areas by combining LRA (Lgistic Regression Analysis) and AHP (Analytic Hierarchy Program) methods with Remote Sensing and GIS data in Anseong-si. In order to classify landslide hazard areas of seven levels, six topographic factors (slope, aspect, elevation, soil drain, soil depth, and land use) were used as input factors of LRA and AHP methods. As results, high-risk areas for landslide (1 and 2 levels) by LRA and AHP of its own were classified as 46.1% and 48.7%, respectively. A new method by applying weighting factors to the results of LRA and AHP was suggested. High-risk areas for landslide (1 and 2 levels) form the new method was classified as 58.9%.

A Comparison on the Identification of Landslide Hazard using Geomorphological Characteristics (지형특성을 활용한 산사태 위험도 판단을 위한 비교)

  • Cha, Areum
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.6
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    • pp.67-73
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    • 2014
  • Landslide disasters including debris flows are the one of the most frequent natural disasters in Korea, and losses of lives and property damages due to these catastrophic events have been increased every year. Various mitigation programs and related policies have been conducted in order to respond and prepare landslide disasters. Most landslide reduction programs are, however, focused on recovery actions after the disasters and lead to unrealistic consequences to the affected people and their properties. The main objective of this study, therefore, is to evaluate the landslide hazard based on the identification of geomorphological features, which is for the preparedness of the landslide disasters. Two methodologies, SINMAP and vector dispersion analyses are used to simulate those characteristics where landslides are actually located. Results showed that both methods well discriminate geomorphic features between stable and unstable domains. This proves that geomorphological characteristics well describe a relationship with the existing landslide hazard. SINMAP analysis which is based on the consecutive model considering external factors like infiltration is well identify the landslide hazard especially for debris flow type landslides rather than vector dispersion focusing on a specific area. Combining with other methods focusing specific characteristics of geomorphological feature, accurate landslide hazard assessments are implemented.

A study on the Debris Flow Hazard Evaluation using sinmap (sinmap을 활용한 산사태 위험도 평가)

  • Lee, Geun-baek;Yun, Hong-Sic;Kim, Tae-Yun
    • 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.

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소규모 개발지역의 토사재해예측에 관한 연구

  • Park, Ki-Bum;Park, Eun-Yeong;Cha, Sang-Hwa;Kim, Sung-Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.512-515
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    • 2012
  • 최근의 재해 발생은 하천에 의한 범람, 제방의 붕괴 등에 의한 피해발생보다는 일정지역에 국한적으로 내수배제 불량, 토사유출, 산사태 등으로 인한 피해의 발생이 증가하고 있다. 특히나 도시지역과 신규개발지역을 중심으로 집중호우로 인한 토사유출 등으로 인한 배수로 막힘, 산사태등의 2차적인 피해가 증가하고 있는 추세이다. 2011년의 서울의 우면산 산사태 등과 같은 도시중심에서의 피해와 강원도 등의 신규개발지역에서의 토사로 인해 2차, 3차 피해는 국지적이고 예측이 불가능한 곳에서 발생되고 있다. 이러한 토사유출, 산사태에 의한 예측기법은 최근의 정보기술의 발달로 인해 보다 다양한 방법의 접근들이 시도되고 있으며, 이에 대한 정량적인 평가기법들이 개발되고 적용되고 있다. 본 연구에서는 산지지형의 소규모 개발지의 토사재해의 위험성을 평가하기 위하여 GIS 기술을 이용한 사면의 안정성과 산사태 위험성을 평가하는 대표적인 방법으로 Pack et al. (1998)이 제안한 수리적 무한사면 안정모델과 결합하여 사면안정분석을 위해 개발된 SINMAP을 이용하여 소규모 개발지역의 토석류 해석과 사면의 안정성 검토 그리고 범용토양공식을 이용하여 토사유출량을 산정하여 개발지역내 사면 및 토사재해의 위험성을 평가하였다. GIS를 이용한 지형적 특성에 따른 사면의 위험성과 토사유출량 해석 결과를 이용하여 소규모 개발지역의 토사재해의 위험성을 정량적이고 다각적으로 평가하여 재해발생에 따른 위험성을 노출하고 이에 대한 대책 수립에 도움이 될 것으로 판단된다.

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Landslide Danger Mapping using Spatial Information Technology (공간정보기술을 이용한 산사태 위험도 매핑)

  • Jo, Myung-Hee;Jo, Yun-Won;Kim, Sung-Jae
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.353-356
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    • 2008
  • 최근 대규모 산림재해로 인한 산림환경 훼손 및 산림 농가의 피해는 물론 산림생태계에도 나쁜 영향을 미치고 있으며 이는 사회적으로 매우 민감한 환경문제로서 국민의 주요 관심사가 되고 있다. 본 연구에서는 울진군 전체를 대상으로 GIS 및 RS 기법을 이용하여 다양한 산사태 관련 인자들을 추출 하여 이를 기반으로 GIS 중첩 및 가중치 분석을 통하여 울진군의 산사태 발생 가능 위험지역의 분포도를 작성하고자 한다.

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