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2022 Vol.32, Issue 3

Research Article

Analysis of the Effect of Soil Depth on Landslide Risk Assessment

산사태 조사를 통한 토층심도가 산사태 발생 위험성에 미치는 영향 분석

Man-Il Kim1
,
Namgyun Kim2*
,
Jaehwan Kwak3
,
Seung-Jae Lee4
김 만일1
,
김 남균2*
,
곽 재환3
,
이 승재4
1Principal Researcher, National Forestry Cooperative Federation
2Senior Researcher, National Forestry Cooperative Federation
3Senior Researcher, Korea Slope Safety Association
4Principal Researcher, National Center for AgroMeteorology
1산림조합중앙회 산림종합기술본부 책임연구원
2산림조합중앙회 산림종합기술본부 선임연구원
3한국급경사지안전협회 선임연구원
4(재)국가농림기상센터 책임연구원
*Corresponding Author
30 September 2022. pp. 327-338
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Abstract

This study aims to empirically and statistically predict soil depths across areas affected by landslides. Using soil depth measurements from a landslide area in Korea, two sets of soil depths are calculated using a Z-model based on terrain elevation and a probabilistic statistical model. Both sets of calculation results are applied to derive landslide risk using the saturated infiltration depth ratio of the soil layer. This facilitates analysis of the infiltration of rainfall into soil layers for a rainfall event. In comparison with the probabilistic statistical model, the Z-model yields soil depths that are closer to measured values in the study area. Landslide risk assessment in the study area based on soil depth predictions from the two models shows that the percentage of first-grade landslide risk assessed using soil depths from the probabilistic statistical model is 2.5 times that calculated using soil depths from the Z-model. This shows that soil depths directly affect landslide risk assessment; therefore, the acquisition and application of local soil depth data are crucial to landslide risk analysis.

Keywords
soil depth
Z-model
probabilistic statistical model
saturated infiltration depth ratio
landslide risk grade

산사태 발생지역에서 측정된 토층심도 자료를 토대로 경험적 내지 통계적으로 토층심도를 예측하기 위하여 지형고도 기반의 Z-model과 확률론적 통계모델을 활용하여 산사태 발생구간에 대한 토층심도를 산정하고, 이를 토대로 강우사상에 따라 토층 내로 강우의 침투특성을 반영하여 분석할 수 있는 토층에 대한 포화깊이비 개념을 접목하여 산사태위험도 분석을 수행하였다. 그 결과, Z-model로 예측된 토층심도가 확률론적 통계모델로 산정된 결과보다는 본 연구지역에서 측정된 토층심도와 비교적 유사하게 산정된 것으로 나타났다. 이를 토대로 산사태 발생지역에 대해 확률론적 통계모델로 예측된 토층심도를 적용해 분석한 결과가 Z-model로 산정된 결과보다 산사태위험도 1등급 분포 비율이 2.5배 이상 높게 나타났다. 이는 토층심도가 직접적으로 산사태위험도 평가에 영향을 주는 것을 의미하는 것으로 산사태위험도 분석을 위해서는 대상지역의 토층심도 자료의 획득 및 적용이 중요함을 의미한다.

키워드
토층심도
Z-model
확률론적 통계모델
포화침투깊이비
산사태 위험등급
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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 :3
  • Pages :327-338
  • Received Date : 2022-08-04
  • Revised Date : 2022-08-19
  • Accepted Date : 2022-08-24
  • DOI :https://doi.org/10.9720/kseg.2022.3.327
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