• Title/Summary/Keyword: shallow landslide early warning

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Analysis of Sensors' Behavior and Its Utility for Shallow Landslide Early Warning through Model Slope Collapse Experiment (붕괴모의실험을 통한 산사태 조기경보용 계측센서의 반응성 분석 및 활용성 고찰)

  • Kang, Minjeng;Seo, Junpyo;Kim, Dongyeob;Lee, Changwoo;Woo, Choongshik
    • Journal of Korean Society of Forest Science
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    • v.108 no.2
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    • pp.208-215
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    • 2019
  • The goal of this study was to analyze the reactivity of a volumetric water content sensor (soil moisture sensor) and tensiometer and to review their use in the early detection of a shallow landslide. We attempted to demonstrate shallow and rapid slope collapses using three different soil ratios under artificial rainfall at 120 mm/h. Our results showed that the measured value of the volumetric water-content sensor converged to 30~37%, and that of the tensiometer reached -3~-5 kPa immediately before the collapse of the soil under all three conditions. Based on these results, we discussed a temporal range for early warnings of landslides using measurements of the volumetric water content sensors installed at the bottom of the soil slope, but could not generalize and clarify the exact timing for these early warnings. Further experiments under various conditions are needed to determine how to use both sensors for the early detection of shallow landslides.

Landslide Triggering Rainfall Threshold Based on Landslide Type (사면파괴 유형별 강우 한계선 설정)

  • Lee, Ji-Sung;Kim, Yun-Tae;Song, Young-Karb;Jang, Dae-Heung
    • Journal of the Korean Geotechnical Society
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    • v.30 no.12
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    • pp.5-14
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    • 2014
  • Most of slope failures have taken place between June and September in Korea, which cause a considerable damage to society. Rainfall intensity and duration are very significant triggering factors for landslide. In this paper, landslide-triggering rainfall threshold consisting of rainfall intensity-duration (I-D) was proposed. For this study, total 255 landslides were collected in landslide inventory during 1999 to 2012 from NDMI (National Disaster Management Institute), various reports, newspapers and field survey. And most of the required rainfall data were collected from KMA (Korea Meteorological Administration). The collected landslides were classified into three categories: debris flow, shallow landslide and unconfirmed. A rainfall threshold was proposed based on landslide type using statistical method such as quantile-regression method. Its validation was carried out based on 2013 landslide database. The proposed rainfall threshold was also compared with previous rainfall thresholds. The proposed landslide-triggering rainfall thresholds could be used in landslide early warning system in Korea.