Spatial distribution of landslide shape induced by Luding Ms6.8 earthquake, Sichuan, China: case study of the Moxi Town

Liu, Xuemei; Su, Peng; Li, Yong; Xia, Zhenghuan; Ma, Siyuan; Xu, Rui; Yao, Lu; Li, Dahu; Lü, Heng; Yuan, Rui

doi:10.1007/s10346-023-02070-2

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…The spatial distribution of landslides induced by the Luding earthquake presents a preferential location in the E-, SE-, and S-facing slopes as pointed out by Dai et al (2023), Liu et al (2023), andXiao et al (2023). However, the ND models without amplification present high ND values instead on N-and W-facing slopes.…”

Section: Influence Of the Preferred Spatial Distribution Of Landslidesmentioning

confidence: 96%

Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau)

Djukem,

Fan,

Braun

et al. 2024

Landslides

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The Newmark displacement (ND) method, which reproduces the interactions between waves, solids, and fluids during an earthquake, has experienced numerous modifications. We compare the performances of a traditional and a modified version of the ND method through the analysis of co-seismic landslides triggered by the 2022 Ms 6.8 Luding earthquake (Sichuan, China). We implemented 23 ND scenarios with each equation, assuming different landslide depths, as well as various soil-rock geomechanical properties derived from previous studies in regions of similar lithology. These scenarios allowed verifying the presence or absence of such landslides and predict the likely occurrence locations. We evaluated the topographic and slope aspect amplification effects on both equations. The oldest equation has a better landslide predictive ability, as it considers both slope stability and earthquake intensity. Contrarily, the newer version of the ND method has a greater emphasis on slope stability compared to the earthquake intensity and hence tends to give high ND values only when the critical acceleration is weak. The topographic amplification does not improve the predictive capacity of these equations, most likely because few or no massive landslides were triggered from mountain peaks. This approach allows structural, focal mechanism, and site effects to be considered when designing ND models, which could help to explain and predict new landslide distribution patterns such as the abundance of landslides on the NE, E, S, and SE-facing slopes observed in the Luding case. KeywordsCo-seismic landslides • Earthquake intensity • Topographic amplification • Site effects • Slope aspect • Focal mechanism effect Landslides Recent Landslides Recent LandslidesSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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Section: Influence Of the Preferred Spatial Distribution Of Landslidesmentioning

confidence: 96%

Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau)

Djukem,

Fan,

Braun

et al. 2024

Landslides

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“…Moreover, there have already been relevant papers studying the co‐seismic landslides triggered by the 2022 Luding earthquake. Some research focused only on the co‐seismic landslides and their spatial distribution (Dai et al., 2023; Liu et al., 2023), while others were concerned with both the spatial distribution and controlling factors (Fan et al., 2022; Yang et al., 2023; Zhao et al., 2022). However, little research evaluates the relation between co‐seismic landslides and the earthquake itself.…”

Section: Introductionmentioning

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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“…For example, the high mobility and bifurcation behavior of the Sanxicun landslide in Dujiangyan, Sichuan Province, in China affected a wide area, threatening residential areas in the left valley (Gao et al, 2017). In conclusion, landslides triggered by different factors will show different geometric properties Rana et al, 2021) and affect different geographical areas, resulting in varying hazards and risks Liu et al, 2023;Taylor et al, 2018). However, there is a lack of comparative research on geometric properties of rainstorm-and earthquakeinduced landslides.…”

mentioning

confidence: 99%

The effect of location and geometric properties of landslides caused by rainstorms and earthquakes

Qiu,

Su,

Tang

et al. 2024

Earth Surf Processes Landf

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Landslides triggered by rainstorms and earthquakes are prominent geological hazards that exhibit distinctive spatial and morphological characteristics due to diverse instability mechanisms. However, studies on differences between the two types of landslides remain limited. In this study, we explored differences in location and geometric properties between rainstorm‐induced landslides in Qinzhou, Longchuan and Fukuoka and earthquake‐induced landslides in Lushan, Iburi and Kaikōura. We normalized the location of landslides across the slope and quantified the landslide polygons using four geometric properties. Findings revealed that both location and geometric properties are specific to landslide type and differ between them. Earthquake‐induced landslides are more common near the ridge of a slope, while rainstorm‐induced landslides are more frequent in the valley or near streams. The quantitative analysis of geometric properties showed that earthquake‐induced landslides are generally larger and have a more compact, rounded and less complex shape. The two landslide types present different hazards, particularly in their runout zones, where dispersion of materials occurs. Insights from our quantitative approach serve as a critical foundation for informed decision‐making in emergency scenarios and contribute to enhancing landslide hazard management.

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Spatial distribution of landslide shape induced by Luding Ms6.8 earthquake, Sichuan, China: case study of the Moxi Town

Cited by 9 publications

References 19 publications

Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau)

Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau)

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

The effect of location and geometric properties of landslides caused by rainstorms and earthquakes

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