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Research Article

A Review of Quantitative Landslide Susceptibility Analysis Methods Using Physically Based Modelling

물리사면모델을 활용한 정량적 산사태 취약성 분석기법 리뷰

Hyuck-Jin Park1*
,
Jung-Hyun Lee2
박 혁진1*
,
이 정현2
1Professor, Department of Energy Resources and Geosystem Engineering, Sejong University
2Post-Doctoral Fellow, Department of Energy Resources and Geosystem Engineering, Sejong University
1세종대학교 지구자원시스템공학과 교수
2세종대학교 지구자원시스템공학과 박사후 연구원
*Corresponding Author
31 March 2022. pp. 27-40
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Abstract

Every year landslides cause serious casualties and property damages around the world. As the accurate prediction of landslides is important to reduce the fatalities and economic losses, various approaches have been developed to predict them. Prediction methods can be divided into landslide susceptibility analysis, landslide hazard analysis and landslide risk analysis according to the type of the conditioning factors, the predicted level of the landslide dangers, and whether the expected consequence cased by landslides were considered. Landslide susceptibility analyses are mainly based on the available landslide data and consequently, they predict the likelihood of landslide occurrence by considering factors that can induce landslides and analyzing the spatial distribution of these factors. Various qualitative and quantitative analysis techniques have been applied to landslide susceptibility analysis. Recently, quantitative susceptibility analyses have predominantly employed the physically based model due to high predictive capacity. This is because the physically based approaches use physical slope model to analyze slope stability regardless of prior landslide occurrence. This approach can also reproduce the physical processes governing landslide occurrence. This review examines physically based landslide susceptibility analysis approaches.

Keywords
landslide susceptibility analysis
physically based model
steady state flow model
transient flow model
probabilistic analysis

산사태는 매년 전 세계적으로 상당한 규모의 인명 및 재산 피해를 발생시키고 있다. 따라서 이러한 산사태를 정확하게 예측하는 것은 매우 중요한 일이며 많은 연구자들이 다양한 접근방식을 활용하여 많은 연구를 수행하여 왔다. 산사태 예측과 관련된 분석은 고려되는 영향인자들과 분석되는 위험성의 예측 수준 그리고 산사태 발생 시 예상되는 피해에 대한 고려에 따라 산사태 취약성 분석, 산사태 위험성 분석 그리고 산사태 리스크 분석으로 구분된다. 이들 분석 중 현재 획득 가능한 관련 자료의 수준을 감안하여 국내외적으로 산사태 취약성 분석이 주로 수행되고 있다. 산사태 취약성 분석은 다양한 정성적 및 정량적 분석기법이 적용되어 왔으며 최근 들어서는 예측성능이 우수한 것으로 알려진 물리사면모델을 활용한 분석기법이 폭넓게 사용되고 있다. 특히 물리사면모델은 산사태 발생 이력의 존재여부와 상관없이 적용이 가능하고 산사태 발생 프로세스를 재현할 수 있다는 장점을 가지고 있다. 따라서 본 논문에서는 물리사면모델을 활용한 취약성 분석기법에 대하여 검토해 보았다.

키워드
산사태 취약성 분석
물리사면모델
정상류
부정류
확률론적 해석
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Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 32
  • No :1
  • Pages :27-40
  • Received Date : 2022-03-08
  • Accepted Date : 2022-03-21
  • DOI :https://doi.org/10.9720/kseg.2022.1.027
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