Spatial distribution analysis of landslides triggered by the 2013-04-20 Lushan earthquake, China

Chang, Ming; Tang, Chuan; Xia, Chenhao; Fang, Qunsheng

doi:10.1007/s11803-016-0313-5

Cited by 20 publications

(5 citation statements)

References 15 publications

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“…The 2022 M s 6.8 Luding earthquake occurred along the Moxi fault, a single and linear segment of the SE Xianshuihe fault (XSHF), along which one earthquake of M > 6.5 occurs on average every 35 years (Xu et al 2015;Chang et al 2016;Bai et al 2021). The trace of this fault has been simplified to a linear line (dark red) for the design of our models, but the real trace is shown in bright red in Fig.…”

Section: Study Area's Backgroundmentioning

confidence: 99%

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: Study Area's Backgroundmentioning

confidence: 99%

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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“…, 2021). Artificial earthquake is required to meet a given target response spectrum, that is, there is a basic control condition for the synthesis of artificial earthquake, and the simulation results are required to be in good agreement with the target response spectrum, as shown in Figure 4(a) (Zhang et al. , 2016a; Gao and Feng, 2022).…”

Section: Illustrative Examplementioning

confidence: 99%

“…Eq. (8) is used to generate the artificial earthquake with the designed target response spectrum (Zhang et al. , 2016a).…”

Section: Illustrative Examplementioning

confidence: 99%

Seismic reliability analysis of slope in spatially variable soils using multiple response surfaces

Li,

Cheng

et al. 2023

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PurposeThis paper aims to develop an efficient algorithm combining straightforward response surface functions with Monte Carlo simulation to conduct seismic reliability analysis in a systematical way.Design/methodology/approachThe representative slip surfaces are identified and based on to calibrate multiple response surface functions with acceptable accuracy. The calibrated response surfaces are used to determine the yield acceleration in Newmark sliding displacement analysis. Then, the displacement-based limit state function is adopted to conduct seismic reliability analysis.FindingsThe calibrated response surface functions have fairly good accuracy in predicting the yield acceleration in Newmark sliding displacement analysis. The seismic reliability is influenced by such factors as PGA, spatial variability and threshold value. The proposed methodology serves as an effective tool for geotechnical practitioners.Originality/valueThe multiple sources of a seismic slope response can be effectively determined using the multiple response surface functions, which are easily implemented within geotechnical engineering.

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“…Some of the major disasters in China are floods [36][37][38][39], droughts [40][41][42], earthquakes [43,44], typhoons [45][46][47], landslides [48][49][50][51] and others. The center of droughts, floods, typhoons and landslides is identified in central, southern, southwest and southeast areas of China [50].…”

Section: Historical Earthquake Data For Yunnan Province Chinamentioning

confidence: 99%

Seismic Hazard Analysis Based on Fuzzy-Probabilistic Approach

Andrić¹,

Lü²

2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Spatial distribution analysis of landslides triggered by the 2013-04-20 Lushan earthquake, China

Cited by 20 publications

References 15 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)

Seismic reliability analysis of slope in spatially variable soils using multiple response surfaces

Seismic Hazard Analysis Based on Fuzzy-Probabilistic Approach

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