Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal

Kincey, Mark; Rosser, Nick; Densmore, Alexander L.; Robinson, Tom; Shrestha, Ram; Pujara, Dammar Singh; Horton, Pascal; Swirad, Zuzanna; Oven, Katie; Arrell, Katherine

doi:10.1002/esp.5501

Cited by 5 publications

(3 citation statements)

References 69 publications

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“…Surface ruptures and co‐seismic landslides during earthquakes are two significant geomorphic changes that are closely connected (Gorum et al., 2014; He & Xu, 2022; Meunier et al., 2013). Surface rupture occurs when movement on a fault deep within the Earth breaks through to the surface, while co‐seismic landslides represent the first stage of a broader cascading sequence of geohazards associated with high‐magnitude continental earthquakes (Kincey et al., 2023). Figures 5b and 5c display the cumulative distribution of PGA in relation to the total area and number of landslides.…”

Section: Discussionmentioning

confidence: 99%

The Distribution Pattern of Ground Movement and Co‐Seismic Landslides: A Case Study of the 5 September 2022 Luding Earthquake, China

Li,

Wu,

Gao

et al. 2024

JGR Earth Surface

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Major earthquakes can cause extensive landsliding that poses a major threat to both property and human lives. In addition to co‐seismically triggered ground failure, the earthquake‐affected region remains vulnerable to landslides due to loosened and unstable materials and structures. Many researchers have studied landslide distributions and their controlling factors after earthquakes, but the function of ground motion is unclear. To investigate the connection in a strike‐slip earthquake, we analyzed the 5 September 2022 Luding earthquake (Mw 6.6) in Sichuan Province, China. We interpreted remote‐sensing images to obtain the landslide distribution before and after the earthquake, calculated surface deformation from D‐InSAR data (pre‐ and post‐earthquake), utilized a point‐source model for the focal mechanism inversion, and then constructed a finite fault model for the rupture slip. There are clear differences in the landslide distributions on the two sides of the fault before and after the earthquake. The density of co‐seismic landslides on the west side of the fault exceeded that on the east side. The patterns of surface deformation and ground motion indicated that the areas with larger deformation and motion were associated with more landslides. Furthermore, the landslide size decreased with distance from the fault. A new finding is that co‐seismic landslides induced by strike‐slip earthquakes result in high landslide concentration on both sides of the fault, while previous studies find that co‐seismic landslides triggered by thrust earthquakes present a hanging wall concentrated distribution pattern. These findings contribute to a more comprehensive understanding of the connection between ground movement patterns and landslide distributions.

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Section: Discussionmentioning

confidence: 99%

The Distribution Pattern of Ground Movement and Co‐Seismic Landslides: A Case Study of the 5 September 2022 Luding Earthquake, China

Li,

Wu,

Gao

et al. 2024

JGR Earth Surface

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“…Hydrological networks denote the cells with rivers and can potentially help separate landslides from spectrally similar river gravels ( Reichenbach et al, 2018 ). Mapped landslide inventories derived from sub-seasonal imagery are known to be sensitive to fluctuations in vegetation encroachment into landslide scars ( Kincey et al, 2023 ). These largely predictable and small magnitude variations in sum can mask longer-term incremental changes in landslide characteristics, and hence we deliberately compared the same period between years, rather than within year changes.…”

Section: Methodsmentioning

confidence: 99%

“…Their impacts can affect communities and landscapes for years, sometimes decades ( Mansour et al, 2011 ; Chen et al, 2021 ). Such effects are apparent at both large-scale over extensive areas, such as that impacted by an earthquake (e.g., Chen et al, 2019 ; Kincey et al, 2023 ), or at individual landslides or catchments (e.g., Samia et al, 2017 ; Temme et al, 2020 ). At both scales, data describing the spatial and temporal nature of landslides, would allow us to characterise their persistence ( how long do landslides remain in the landscape after they have occurred? )…”

Section: Introductionmentioning

confidence: 99%

Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya

Chen,

Kincey,

Rosser

et al. 2024

Science of The Total Environment

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Assessing the impact of the 2023 Kahramanmaraş and Hatay earthquakes on cadastre and property data using GPS and GIS

Ayso,

Köz,

Doğanalp

et al. 2024

Bull Earthquake Eng

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Natural disasters such as earthquakes, storms, floods, landslides, and tsunamis cause significant losses in land and buildings, which are an integral part of human life. This causes inconsistency between the actual situation in the land and official records and brings legal problems with it. In other words, natural disasters negatively affect human life and cause problems in the country’s cadastral system and land ownership and usage. Therefore, after natural disasters, rapid and fair redefinition of cadastral works and land boundaries in the affected areas is an important need of the society and is the basis of trust in the state. In this study, the effects of the 06 February 2023 (Mw = 7.7, Mw = 7.6) Kahramanmaraş and 20 February 2023 (Mw = 6.4) Hatay earthquakes on the cadastral status of the parcels in and around Kırıkhan district of Hatay province were investigated. By modeling the displacements, the deformation sizes of 4044 parcel corner coordinates and 1333 parcel areas were calculated and analyzed. In terms of the protection of property rights in land management, some suggestions were made by presenting concrete findings of coordinate and areal changes.

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Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal

Abstract: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as

Cited by 5 publications

References 69 publications

The Distribution Pattern of Ground Movement and Co‐Seismic Landslides: A Case Study of the 5 September 2022 Luding Earthquake, China

The Distribution Pattern of Ground Movement and Co‐Seismic Landslides: A Case Study of the 5 September 2022 Luding Earthquake, China

Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya

Assessing the impact of the 2023 Kahramanmaraş and Hatay earthquakes on cadastre and property data using GPS and GIS

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