Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records

Kuo, Hsien-Li; Lin, Gong−Ru; Chen, Chi-Wen; Saitô, Hitoshi; Lin, Changhong; Chen, Hongey; Chao, Wei‐An

doi:10.5194/nhess-2018-126

Cited by 4 publications

(9 citation statements)

References 27 publications

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Zhou et al, 2019). The distribution pattern of LSL shows close relation to the seismic fault/thrust Li, 2008, 2009) and most of the LSL are found to be oriented perpendicular to direction of the regional thrust system and proximity to the fault/thrust system (Timilsina et al, 2012; Zhou et al, 2019).The effects of rainfall duration and cumulated rainfall are much more remarkable for LSL than for small landslides (Kuo et al, 2018). The major factors that affect the distribution of LSL triggered by the seismic event are distance effect, locked segment effect, hanging wall effect and direction effect (Xu et al, 2011).

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confidence: 91%

“…Landslides often classified based on factors; materials, landslide scale, or type of movement (Varnes, 1978;Cruden and Varnes, 1996;Hungr et al, 2014). The size of landslide larger than 10 5 m 2 is commonly accepted to be large-scale landslides (Wen and Chen, 2007;Lin et al, 2013;Zhou and Cheng, 2015) and volume larger than 10 6 m 3 (Brueckl and Parotidis, 2001;Zerathe et al, 2014;Chung et al, 2018;Kuo et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The effects of rainfall duration and cumulated rainfall are much more remarkable for LSL than for small landslides (Kuo et al, 2018). The major factors that affect the distribution of LSL triggered by the seismic event are distance effect, locked segment effect, hanging wall effect and direction effect (Xu et al, 2011).…”

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confidence: 99%

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Characterization of large-scale landslides and their susceptibility evaluation in central Nepal Himalaya

Phuyal

Thapa

Devkota

2022

Journal of Nepal Geological Society

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Large-scale landslides (LSL) are characterized by complex nature of failure mechanism, which depend on geological setting and associated factors of the area. The aim of this research is to identify the distribution pattern of LSL and all landslides in the central Nepal Himalaya and evaluation of their controlling factors. 7239 landslides were extracted from the study area by the interpretation of satellite imageries and field surveyed information. 28 landslides were classified as LSL and descriptive statistics were calculated. A comparative susceptibility assessment between all landslides and LSL was performed by frequency ratio model (FRM). Landslide susceptibility assessed from FRM was classified into five categories using the natural breaks method and adjustment from field evidences: very low, low, medium, high, and very high. The very high, high and medium susceptibility classes comprised of 38.91%, 33.29%, 18.76% for all landslides, and 39.51%, 29.65%, 20.98% for LSL. The result clearly indicated that the role of controlling factors varies differently depending upon the size of distributed landslides. To understand the significance of controlling factors for LSL, different potential cases were validated by success rates with area under the curve (AUC). The computed AUC in success rates for LSL is 65% and for overall landslides with similar controlling factors is 75%. The AUC values in different potential cases showed that the prime factors to control the LSL are geomorphology, rainfall, and geological structures.

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confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Characterization of large-scale landslides and their susceptibility evaluation in central Nepal Himalaya

Phuyal

Thapa

Devkota

2022

Journal of Nepal Geological Society

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“…In the Tijuana metropolitan area, rotational soil slides are the most common landslide type and abrupt events have been recognized as a significant threat to public safety (Oliva-González et al, 2014). Landslides occur when the weight of earth material down a slope exceeds its strength (Highland and Bobrowsky, 2008), a process known as overloading that typically occurs with high soil moisture content following rainfall (Kuo et al, 2018;Valenzuela et al, 2018;Zhuo et al, 2019;Monsieurs et al, 2019;Marino et al, 2020) or agricultural intensification (Lacroix et al, 2020). Recent studies have also shown that leaky pipes and septic tanks contribute to overloading (Demoulin and Hans-Balder, 2022).…”

Section: Introductionmentioning

confidence: 99%

Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery

Gudino‐Elizondo

Brand

Biggs

et al. 2022

Nat. Hazards Earth Syst. Sci.

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Abstract. Mass movement hazards in the form of mega-gullies and landslides pose significant risks in urbanizing areas, yet they are poorly documented. To obtain primary data on the size, frequency, and triggers of abrupt mega-gullies and landslides in urban areas, rapid assessment methods based on structure-from-motion (SfM) photogrammetric techniques and watershed models were developed and deployed in the Los Laureles Canyon, a rapidly urbanizing watershed in Tijuana, Mexico. Three abrupt earth surface hazards were observed over a 5-year study period including two mega-gullies and one landslide, and all were linked to a combination of rainfall and water resources infrastructure failures (WRIFs): (1) water main breaks resulted from rainfall-driven gully erosion that undermined supply lines, and the resulting water jets caused abrupt mega-gully formation; this represents one of the first studies to document this process in an urban environment; (2) antecedent saturation of a hillslope from a leaking water supply pipe contributed to an abrupt landslide during a storm event. The return period of the storms that triggered the WRIF-based earth surface hazards was ∼1–2 years, suggesting that such triggering events occur frequently. WRIF-based hazards were also a non-negligible contributor to sediment generation at the watershed scale. While the number of observed events is small, these results suggest that WRIF can, in some cases, be the single most important process generating abrupt and life-threatening earth surface hazards on the poor urban periphery. Future studies of the triggers and mechanisms of abrupt urban mega-gullies and landslides should consider the role of WRIFs in antecedent saturation and erosion by broken water supply lines.

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“…To reduce losses caused by landslides, it is necessary to identify critical rainfall that can trigger landslides, so that rainfall threshold is obtained as an approximate model for disaster prevention and mitigation (Kuo et al, 2018). The difficulty in estimating rainfall threshold is the lack of accurate information.…”

Section: Introductionmentioning

confidence: 99%

Determination of cumulative rainfall threshold trigger of landslides in Grindulu watershed as an early warning effort

Miardini¹,

Susanti²

2020

J.Degrade.Min.Land Manage.

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Landslides are one of the natural disasters that cause severe damage to life. The frequency of landslide has increased with global climate change and population growth, so early warning efforts are needed. Rain is a trigger factor for landslides can be used as an approximate model for disaster prevention and mitigation through the estimation of rainfall threshold. The purpose of this study was to determine the characteristics and threshold of rainfall that triggered landslides in the Grindulu watershed. The method used is the Cumulative Rainfall Threshold (CT), this method compares the amount of rainfall for the last 3 days (72 hours) with rainfall 15 days before. In the Grindulu watershed, landslides occur during 3-day cumulative daily rains ranging from 23-464 mm, whereas in the 15 days before the events range between 67-756.5 mm. Estimates of lower threshold rainfall are determined linear so that the equation P3 = 0.4675 P15-46.9 is obtained with the value R 2 = 0.5774The threshold value of rainfall triggers a landslide in the Grindulu watershed when the cumulative rainfall of 3 days is 40 mm and 15 days before the event is 320 mm. The determination of rain threshold is expected to increase community preparedness for landslides.

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Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records

Cited by 4 publications

References 27 publications

Characterization of large-scale landslides and their susceptibility evaluation in central Nepal Himalaya

Characterization of large-scale landslides and their susceptibility evaluation in central Nepal Himalaya

Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery

Determination of cumulative rainfall threshold trigger of landslides in Grindulu watershed as an early warning effort

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