Global fatal landslide occurrence from 2004 to 2016

Froude, Melanie; Petley, David

doi:10.5194/nhess-18-2161-2018

Cited by 1,387 publications

(720 citation statements)

References 87 publications

Supporting

Mentioning

706

Contrasting

Unclassified

Order By: Relevance

“…Rainfall is a common trigger of landslides (e.g., Crosta & Frattini, 2001;Froude & Petley, 2018;Segoni et al, 2018), and the processes relating rainfall to the occurrence and size of slope failure, any remobilization, acceleration, and fluidization have been widely studied (e.g., Crozier & Glade, 1999;Jamei et al, 2017; 10.1029/2018RG000626…”

Section: Triggering Rainfalls For Debris Flowsmentioning

confidence: 99%

“…Five to ten thousand people die because of aseismic landslides each year in the world (Froude & Petley, 2018;Petley, 2012), with a trend that is increasing over time possibly because of human activity and increasing global population. An unknown number of these occurred in seismic regions and might have been delayed post-seismic landslides.…”

Section: Delayed Failures Predisposed By Earthquakesmentioning

confidence: 99%

See 1 more Smart Citation

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

658

325

View full text Add to dashboard Cite

Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate‐ and large‐magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake‐induced landslides and their consequences: the magnitude M 7.6 Chi‐Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth's surface.

show abstract

Section: Triggering Rainfalls For Debris Flowsmentioning

confidence: 99%

Section: Delayed Failures Predisposed By Earthquakesmentioning

confidence: 99%

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

658

325

View full text Add to dashboard Cite

show abstract

“…Rainfall or earthquake triggered landslides are common in some parts of the world, causing loss of human life and property [1]. A global dataset of landslide disasters [2] showed that three-quarters of all landslide events occurred in the Himalayan arc between 2004 and 2016. Bhutan is one of the highly susceptible landslide zones in the Himalayan region [3].…”

Section: Introductionmentioning

confidence: 99%

Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas

Dikshit

Sarkar

Pradhan

et al. 2019

Water

View full text Add to dashboard Cite

Consistently over the years, particularly during monsoon seasons, landslides and related geohazards in Bhutan are causing enormous damage to human lives, property, and road networks. The determination of thresholds for rainfall triggered landslides is one of the most effective methods to develop an early warning system. Such thresholds are determined using a variety of rainfall parameters and have been successfully calculated for various regions of the world at different scales. Such thresholds can be used to forecast landslide events which could help in issuing an alert to civic authorities. A comprehensive study on the determination of rainfall thresholds characterizing landslide events for Bhutan is lacking. This paper focuses on defining event rainfall-duration thresholds for Chukha Dzongkhag, situated in south-west Bhutan. The study area is chosen due to the increase in frequency of landslides during monsoon along Phuentsholing-Thimphu highway, which passes through it and this highway is a major trade route of the country with the rest of the world. The present threshold method revolves around the use of a power law equation to determine event rainfall-duration thresholds. The thresholds have been established using available rainfall and landslide data for 2004-2014. The calculated threshold relationship is fitted to the lower boundary of the rainfall conditions leading to landslides and plotted in logarithmic coordinates. The results show that a rainfall event of 24 h with a cumulated rainfall of 53 mm can cause landslides. Later on, the outcome of antecedent rainfall varying from 3-30 days was also analysed to understand its effect on landslide incidences based on cumulative event rainfall. It is also observed that a minimum 10-day antecedent rainfall of 88 mm and a 20-day antecedent rainfall of 142 mm is required for landslide occurrence in the area. The thresholds presented can be improved with the availability of hourly rainfall data and the addition of more landslide data. These can also be used as an early warning system especially along the Phuentsholing-Thimphu Highway to prevent any disruptions of trade. initiated due to heavy monsoon precipitation and aggravated due to the increase in human activities. The increasing number of landslide events in Bhutan can be attributed to complex geological conditions, steep slopes, climate change, type of soil, and tectonic activity. Landslides in Bhutan mostly occur during the monsoons during which the torrential rainfall leads to several flash floods and landslide triggering, cutting off many parts of south Bhutan from the rest.The relationship between the amount of rainfall associated with landslide occurrences is generally studied using either an empirical or physical based approach [4][5][6][7]. Physical process models are based on numerical models which study the relationship between rainfall, pore water pressure, soil type, and volumetric water content that can lead to slope instability. Such a study is usually site specific due to variation in soil prop...

show abstract

“…Landslides are significant disasters that occur around the world, causing severe damage to infrastructures and widespread loss of human lives [1,2]. Landslides triggered by seismic activity or heavy rain are often among the most destructive and largest in scale [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images

et al. 2020

View full text Add to dashboard Cite

The rapid and accurate mapping of large-scale landslides and other mass movement disasters is crucial for prompt disaster response efforts and immediate recovery planning. As such, remote sensing information, especially from synthetic aperture radar (SAR) sensors, has significant advantages over cloud-covered optical imagery and conventional field survey campaigns. In this work, we introduced an integrated pixel-object image analysis framework for landslide recognition using SAR data. The robustness of our proposed methodology was demonstrated by mapping two different source-induced landslide events, namely, the debris flows following the torrential rainfall that fell over Hiroshima, Japan, in early July 2018 and the coseismic landslide that followed the 2018 Mw6.7 Hokkaido earthquake. For both events, only a pair of SAR images acquired before and after each disaster by the Advanced Land Observing Satellite-2 (ALOS-2) was used. Additional information, such as digital elevation model (DEM) and land cover information, was employed only to constrain the damage detected in the affected areas. We verified the accuracy of our method by comparing it with the available reference data. The detection results showed an acceptable correlation with the reference data in terms of the locations of damage. Numerical evaluations indicated that our methodology could detect landslides with an accuracy exceeding 80%. In addition, the kappa coefficients for the Hiroshima and Hokkaido events were 0.30 and 0.47, respectively.Keywords: landslide damage detection; the 2018 torrential rain event in hiroshima; Japan; the 2018 Mw6.7 hokkaido earthquake; synthetic aperture radar (SAR) intensity imagery

show abstract

Global fatal landslide occurrence from 2004 to 2016

Cited by 1,387 publications

References 87 publications

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas

A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images

Contact Info

Product

Resources

About