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A catastrophic Palu earthquake on September 28th, 2018 with Mw 7.5 triggered countless slope failures, generating numerous landslides. This paper presents a practical method for susceptibility assessment of earthquake-induced landslides in the Palu region and the surrounding area. The statistical weight of evidence (WoE) model was used to assess the relationship between landslides induced by seismic motion and its causative factors to determine the susceptibility level and derive an earthquake-induced landslide susceptibility map of this study area. The 1273 landslides were classified into two data series, training data for modelling (70%) and test data for validation (30%). The six selected thematic maps as landslide causative factors are lithology, land use, peak ground acceleration (PGA), and slope (gradient, aspect, elevation). The selection of causative factors considerably influences the frequency of landslides in the area. The result is satisfactory because the AUC value of the chosen model excelled the minimum limit, which is 0.6 (60%). The estimated success rate of the model is 85.7%, which shows that the relevancy of the model is good with the occurrence of landslides. The prediction rate of 84.6% indicates that the applied model is very good at predicting new landslides.
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Litoseliti, Aspasia, Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos, and Vasiliki Zygouri. "An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece." ISPRS International Journal of Geo-Information 9, no. 7 (July 20, 2020): 457. http://dx.doi.org/10.3390/ijgi9070457.
Assessment of landslide hazard across mountains is imperative for public safety. Pre- and post-earthquake landslide mapping envisage that landslides show significant size changes during earthquake activity. One of the purposes of earthquake-induced landslide investigation is to determine the landslide state and geometry and draw conclusions on their mobility. This study was based on remote sensing data that covered 72 years, and focused on the west slopes of the Skolis Mountains, in the northwest Peloponnese. On 8 June 2008, during the strong Movri Mountain earthquake (Mw = 6.4), we mapped the extremely abundant landslide occurrence. Historical seismicity and remote sensing data indicate that the Skolis Mountain west slope is repeatedly affected by landslides. The impact of the earthquakes was based on the estimation of Arias intensity in the study area. We recognized that 89 landslides developed over the last 72 years. These landslides increased their width (W), called herein as inflation or their length (L), termed as enlargement. Length and width changes were used to describe their aspect ratio (L/W). Based on the aspect ratio, the 89 landslides were classified into three types: I, J, and Δ. Taluses, developed at the base of the slope and belonging to the J- and Δ-landslide types, are supplied by narrow or irregular channels. During the earthquakes, the landslide channels migrated upward and downward, outlining the mobility of the earthquake-induced landslides. Landslide mobility was defined by the reach angle. The reach angle is the arctangent of the landslide’s height to length ratio. Furthermore, we analyzed the present slope stability across the Skolis Mountain by using the landslide density (LD), landslide area percentage (LAP), and landslide frequency (LF). All these parameters were used to evaluate the spatial and temporal landslide distribution and evolution with the earthquake activity. These results can be considered as a powerful tool for earthquake-induced landslide disaster mitigation
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Chang, Chaoyu, Jingshan Bo, Wenhao Qi, Feng Qiao, and Da Peng. "Distribution of large- and medium-scale loess landslides induced by the Haiyuan Earthquake in 1920 based on field investigation and interpretation of satellite images." Open Geosciences 14, no. 1 (January 1, 2022): 995–1019. http://dx.doi.org/10.1515/geo-2022-0403.
Abstract Studying the distribution law and influencing factors of coseismic landslides has important scientific significance and engineering value for understanding the mechanism of seismic landslides and predicting the occurrence of seismic landslides. After a hundred years, these large- and medium-scale landslides induced by the 1920 Haiyuan earthquake are still well-preserved and have extremely high academic research value. About 620 loess seismic landslides induced by the Haiyuan earthquake in 1920 were investigated on site. On this basis, the shape differences between seismic landslides and gravity landslides were summarized; 605 landslides were identified by satellite images, and the Haiyuan earthquake-induced loess landslide database containing seismic information and landslide information was established. The distribution law and morphological characteristics of large- and medium-sized landslides induced by the Haiyuan earthquake were systematically counted according to the conditions of the landslide-intensive area, intensity, and fault upper and lower plates. The influencing factors of loess earthquake landslides were summarized, and the following conclusions were obtained: (1) 1,225 large- and medium-sized landslides were induced by the Haiyuan earthquake in 1920. These landslides have the characteristics of long sliding distance, large single scale, and strong disaster-causing. They are mainly distributed in three concentrated areas of Xiji, Haiyuan, and Pengyang. The landslide morphological characteristics of the three landslide-intensive areas are different because the landslide sliding mechanism caused by topography and lithology is different. (2) The landslide distribution has obvious clustering, zonation, and directivity, and has an obvious river distance effect and fault hanging wall effect. (3) The internal influencing factors such as stratum lithology, topography, fault location, and direction, and the role of water control the occurrence location and scale of landslide. The external factor of an earthquake is an important incentive and control factor for landslide occurrence.
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Nonomura, Atsuko, Shuichi Hasegawa, Tatsuya Abe, Sakae Mukoyama, and Yoshiyuki Kaneda. "Validation of an Index for Susceptibility to Earthquake-Induced Landslides Derived from Helicopter-Borne Electromagnetic Resistivity and Digital Elevation Data." Geosciences 11, no. 2 (February 19, 2021): 95. http://dx.doi.org/10.3390/geosciences11020095.
Catastrophic earthquake-induced landslides can occur on slopes composed of loosened and fractured rock masses. Although it is impossible to prevent such landslides, estimation of the susceptibility of slopes to earthquake-induced landslides is useful for risk management. An index of susceptibility to earthquake-induced landslides (ISEL) was developed by using helicopter-borne electromagnetic resistivity data. However, the ISEL has not yet been validated through the analysis of pre-earthquake data. In this study, ISEL values were estimated from resistivity and digital elevation data obtained in 2013 around Mt. Aso, Kyushu, before the 2016 Kumamoto earthquake. Although most of the landslides around Mt. Aso during the 2016 Kumamoto earthquake were mass movements of volcanic tephra layers, some of them occurred on loosened rock masses. Landslide susceptible areas at loosened rock masses are the target for ISEL value estimation. Our results validated the effectiveness of the ISEL as a predictor of earthquake-induced rock mass landslides.
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Chen, X. L., H. L. Ran, and W. T. Yang. "Evaluation of factors controlling large earthquake-induced landslides by the Wenchuan earthquake." Natural Hazards and Earth System Sciences 12, no. 12 (December 12, 2012): 3645–57. http://dx.doi.org/10.5194/nhess-12-3645-2012.
Abstract. During the 12 May 2008, Wenchuan earthquake in China, more than 15 000 landslides were triggered by the earthquake. Among these landslides, there were 112 large landslides generated with a plane area greater than 50 000 m2. These large landslides were markedly distributed closely along the surface rupture zone in a narrow belt and were mainly located on the hanging wall side. More than 85% of the large landslides are presented within the range of 10 km from the rupture. Statistical analysis shows that more than 50% of large landslides occurred in the hard rock and second-hard rock, like migmatized metamorphic rock and carbonate rock, which crop out in the south part of the damaged area with higher elevation and steeper landform in comparison with the northeast part of the damaged area. All large landslides occurred in the region with seismic intensity ≥ X except a few of landslides in the Qingchuan region with seismic intensity IX. Spatially, the large landslides can be centred into four segments, namely the Yingxiu, the Gaochuan, the Beichuan and the Qingchuan segments, from southwest to northeast along the surface rupture. This is in good accordance with coseismic displacements. With the change of fault type from reverse-dominated slip to dextral slip from southwest to northeast, the largest distance between the triggered large landslides and the rupture decreases from 15 km to 5 km. The critical acceleration ac for four typical large landslides in these four different segments were estimated by the Newmark model in this paper. Our results demonstrate that, given the same strength values and slope angles, the characteristics of slope mass are important for slope stability and deeper landslides are less stable than shallower landslides. Comprehensive analysis reveals that the large catastrophic landslides could be specifically tied to a particular geological setting where fault type and geometry change abruptly. This feature may dominate the occurrence of large landslides. The results will be useful for improving reliable assessments of earthquake-induced landslide susceptibility, especially for large landslides which may result in serious damages.
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Shahi, Tapendra Kumar. "Earthquake-Induced Shallow Landslide Susceptibility Assessment of Gorkha District." Journal of Advanced College of Engineering and Management 5 (December 18, 2019): 181–93. http://dx.doi.org/10.3126/jacem.v5i0.26766.
Nepal is very seriously affected by landslides every year causing loss of life and property. Large scale earthquakes that occurred in different time periods such as on 15th January, 1934 or that on 25th April 2015 have proved Nepal as seismically vulnerable -place. Nepal has witnessed several landslides during and after the earthquake events making some areas of land quite vulnerable for settlement and other usages. Therefore in order to minimize the impacts of landslides caused due to earthquakes, highly susceptible locations should be identified and spatial planning is made accordingly. Considering topographic effects in amplification of earthquake ground motion, Uchida et al. (2004) have developed a topographical parameter based empirical description of landslide susceptibility during an earthquake. In this research, the method proposed by Uchida et al. (2004) is utilized in raster GIS and landslide susceptibility analysis is performed in the study area of SulikotGaupalika of Gorkha district, Nepal which was severely hit by several landslides due to “Gorkha Earthquake 2015". The landslide inventory map of SulikotGaupalika due to “Gorkha Earthquake 2015" is obtained and is correlated with landslide susceptibility values as obtained by using Uchida et al. (2004). The analysis shows that the method proposed by Uchida et al. (2004) is more than 68.9% accurate in delineating the probable locations of earthquake induced landslides. By calibrating landslide data and landslide susceptibility values in a small site (i.e. SulikotGaupalika) within the study area, a final landslide susceptibility map is prepared for the whole study area of Gorkha district. The resultant susceptibility map is very useful for planning settlements, development activities and reconstruction planning.
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Lai, Chun Jing, Yan Peng Zhu, Chun Qing Wang, and Tian Zhong Ma. "Theory Study on Similitude Design of Shaking Table Tests of Earthquake-Induced Landslide." Applied Mechanics and Materials 353-356 (August 2013): 2294–300. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2294.
Based on analysis of characteristics of earthquake-induced landslides and summary of main factors of controlling earthquake-induced landslides, three main factors which are seismic parameters, topography and landforms features and engineering properties of soil are considered the main factor affecting on earthquake-induced landslides. These factors should be focused on to meet the similitude ratio design of the dynamics of landslide in Shaking table test design. Based on study of dynamic similitude law of landslide, the method of changing model soil specifications is used to prepare the model soil which is in accordance with the maximum shear modulus of prototype soil. Also, the engineering properties similitude of model soil is checked by the method of shear wave velocity similitude. By taking the theory of vibration behavior theory of similarity and dynamic failure similar, the formula of dynamic parameters similitude ratio was got. This formula provides calculating methods using shaking table test to simulate earthquake induced landslide.
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Yang, Zongji, Bo Pang, Wufan Dong, and Dehua Li. "Spatial Pattern and Intensity Mapping of Coseismic Landslides Triggered by the 2022 Luding Earthquake in China." Remote Sensing 15, no. 5 (February 27, 2023): 1323. http://dx.doi.org/10.3390/rs15051323.
On 5 September 2022, an Mw 6.6 earthquake occurred in Luding County in China, resulting in extensive surface rupture and casualties. Sufficient study on distribution characteristics and susceptibility regionalization of the earthquake-induced disasters (especially coseismic landslides) in the region has great significance to mitigation of seismic hazards. In this study, a complete coseismic landslide inventory, including 6233 landslides with 32.4 km2 in area, was present through multi-temporal satellite images. We explored the distribution and controlling conditions of coseismic landslides induced by the 2022 Luding event from the perspective of epicentral distance. According to the maximum value of landslide area density, the geographical location with the strongest coseismic landslide activity intensity under the influence of seismic energy, the macro-epicenter, was determined, and we found a remarkable relationship with the landslide distribution and macro-epicentral distance, that is, both the landslide area and number density associatively decreased with the increase in macro-epicentral distance. Then, a fast and effective method for coseismic landslide intensity zoning based on the obvious attenuation relationship was proposed, which could provide theoretical reference for susceptibility mapping of coseismic landslides induced by earthquakes in mountainous areas. Additionally, to quantitatively assess the impact of topographic, seismogenic and lithological factors on the spatial pattern of coseismic landslides, the relationships between the occurrences of coseismic landslides and influencing factors, i.e., elevation, slope angle, local relief, aspect, distance to fault and lithology, were examined. This study provides a fresh perspective on intensity zoning of coseismic landslides and has important guiding significance for post-earthquake reconstruction and land use in the disaster area.
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Aimaiti, Yusupujiang, Wen Liu, Fumio Yamazaki, and Yoshihisa Maruyama. "Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data." Remote Sensing 11, no. 20 (October 10, 2019): 2351. http://dx.doi.org/10.3390/rs11202351.
Timely information about landslides during or immediately after an event is an invaluable source for emergency response and management. Using an active sensor, synthetic aperture radar (SAR) can capture images of the earth’s surface regardless of weather conditions and may provide a solution to the problem of mapping landslides when clouds obstruct optical imaging. The 2018 Hokkaido Eastern Iburi earthquake (Mw 6.6) and its aftershocks not only caused major damage with severe loss of life and property but also induced many landslides across the area. To gain a better understanding of the landslides induced by this earthquake, we proposed a method of landslide mapping using pre- and post-event Advanced Land Observation Satellite 2 Phased Array L-band Synthetic Aperture Radar 2 (ALOS-2 PALSAR-2) images acquired from both descending and ascending orbits. Moreover, the accuracy of the classification results was verified by comparisons with high-resolution optical images, and ground truth data (provided by GSI, Japan). The detected landslides show a good match with the reference optical images by visual comparison. The quantitative comparison results showed that a combination of the descending and ascending intensity-based landslide classification had the best accuracy with an overall accuracy and kappa coefficient of 80.1% and 0.45, respectively.
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Sørensen, Mathilde B., Torbjørn Haga, and Atle Nesje. "Earthquake-induced landslides in Norway." Natural Hazards and Earth System Sciences 23, no. 4 (April 27, 2023): 1577–92. http://dx.doi.org/10.5194/nhess-23-1577-2023.
Abstract. Norway is located in an intraplate setting with low-to-moderate seismicity. The mountainous landscape leads to a high level of landside activity throughout the country. Earthquake-induced landslides (EQILs) are common in seismically active areas, but there are only a few studies of EQILs in intraplate regions. We systematically analyse all earthquakes in Norway with magnitudes ≥ 4.5 in the time period 1800–2021 CE. For each event we search for reports of EQILs in the available macroseismic data and in the Norwegian landslide database. We furthermore consider precipitation data from the Norwegian Centre for Climate Services to evaluate the role of precipitation in the triggering of the identified potential EQILs. Through this approach, we identify 22 EQILs that have been triggered by eight earthquakes in the magnitude range 4.5–5.9. The events are widely distributed in northern and southern Norway. The maximum landslide distance limits and landslide-affected areas are much larger than those found in empirical studies of global datasets and are in agreement with data from other intraplate regions. For four of the earthquakes, it seems that landslide triggering was due to a combined effect of precipitation and earthquake ground shaking. Our observations confirm that intraplate earthquakes have the potential to trigger EQILs over large distances, most likely due to the low ground motion attenuation in such regions. Slope susceptibility seems to be another important factor in the triggering. Our conclusions demonstrate the importance of considering EQIL potential in earthquake risk management in intraplate regions.
Earthquake-induced slope instability is one of the major sources of earthquake hazards in near fault regions. Simplified tools, such as Newmark&rsquo s Sliding Block (NSB) Analysis are widely used to represent the stability of a slope under earthquake shaking. The outcome of this analogy is the slope displacement where larger displacement values indicate higher seismic slope instability risk. Recent studies in the literature propose empirical models between the slope displacement and single or multiple ground motion intensity measures such as peak ground acceleration or Arias intensity. These correlations are based on the analysis of large datasets from global ground motion recording database (PEER NGA-W1 Database). Ground motions from earthquakes occurred in Turkey are poorly represented in NGA-W1 database since corrected and processed data from Turkey was not available until recently. The objective of this study is to evaluate the compatibility of available NSB displacement prediction models for the Probabilistic Seismic Hazard Assessment (PSHA) applications in Turkey using a comprehensive dataset of ground motions recorded during earthquakes occurred in Turkey. Then the application of selected NSB displacement prediction model in a vector-valued PSHA framework is demonstrated with the explanations of seismic source characterization, ground motion prediction models and ground motion intensity measure correlation coefficients. The results of the study is presented in terms of hazard curves and a comparison is made with a case history in Asarsuyu Region where seismically induced landslides (Bakacak Landslides) had taken place during 1999 Dü zce Earthquake.
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Rodriguez, Pineda Carlos Eduardo. "Hazard assessment of earthquake-induced landslides on natural slopes." Boston Spa, U.K. : British Library Document Supply Centre, 2001. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.247774.
Parker, Robert Neville. "Hillslope memory and spatial and temporal distributions of earthquake-induced landslides." Thesis, Durham University, 2013. http://etheses.dur.ac.uk/7761/.
Large earthquakes commonly trigger widespread and destructive landsliding. However, current approaches to modeling regional-scale landslide activity do not account for the temporal evolution of progressive failure in brittle hillslope materials. Progressive failure allows hillslopes to possess a memory of previous earthquakes, which has the potential to influence landslide activity in future earthquakes. The original contribution of this thesis is to address the influence of hillslope memory on spatial and temporal patterns of earthquake-triggered landslide activity, through a combination of landslide inventory analysis and numerical modeling. An understanding of spatial distributions of earthquake-triggered landslides is first established, through analysis of inventories of landslides triggered by five large (M_w > 6.7) earthquakes. The results show how current landscape conditions at the time of earthquakes influence hillslope failure probability. By identifying factors exhibiting a common influence on landslides triggered by all five earthquakes, general spatial models of landslide probability are developed, which are transferrable between different earthquakes and regions. Analysis of model performance for landslide distributions triggered by two sequential earthquakes is then used to establish where this spatial approach breaks down. Errors in the landslide distribution predicted for the second earthquake suggest that the legacy of damage to hillslope materials accrued from the first earthquake is an important control on landslide occurrence. Given the infrequent recurrence of large earthquakes and limited temporal coverage of landslide data, a new modelling approach is developed to understand how hillslope memory influences long-term patterns of earthquake-triggered landslide activity. The model integrates the site-scale evolution of hillslope progressive failure into modeling regional-scale earthquake-triggered landslide activity, in response to sequences of earthquakes. The model results suggest that the sensitivity of landscapes to landslide-triggering increases following large earthquakes, due to damage accumulated in hillslopes that do not reach the point of failure, and decays as these hillslopes fail in response to subsequent, lower-magnitude events. Prolonged elevated levels of rainfall-triggered landslide activity observed following large earthquakes appear to reflect this result. Using the model outputs, a methodology is proposed for predicting temporal variability in landslide activity using records of seismic data. The model results also suggest that, when hillslopes undergo progressive failure, relationships between seismic forcing and landslides are influenced by the magnitude-frequency distribution of earthquakes. As a result, current approaches that use these relationships to predict levels of long-term landslide hazard and erosion rates, but do not account for regional differences in earthquake distributions, may suffer from systematic under- or over-prediction. These significant implications for predicting the geomorphological and human impact of landslides highlight the need for detailed multi-temporal datasets recording the evolution of landslide activity following major earthquakes, in order to quantitatively investigate the influence of hillslope memory in real landscape settings.
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Miles, Scott B. "Participatory assessment of a comprehensive areal model of earthquake-induced landslides /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5609.
Pineda, Carlos Eduardo Rodriguez Pineda. "Hazard assessment of earthquake-induced landslides on natural slopes : modelling growth and maturation in primate and human evolution." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/8872.
Lam, Huu Quang. "DEVELOPMENT OF HAZARD ASSESSMENT TECHNOLOGY OF THE PRECURSOR STAGE OF LANDSLIDES." Kyoto University, 2018. http://hdl.handle.net/2433/232065.
Büch, Florian. "Seismic response of Little Red Hill - towards an understanding of topographic effects on ground motion and rock slope failure." Thesis, University of Canterbury. Geological Sciences, 2008. http://hdl.handle.net/10092/1251.
A field experiment was conducted at near Lake Coleridge in the Southern Alps of New Zealand, focusing on the kinematic response of bedrock-dominated mountain edifices to seismic shaking. The role of topographic amplification of seismic waves causing degradation and possible failure of rock masses was examined. To study site effects of topography on seismic ground motion in a field situation, a small, elongated, and bedrock-dominated mountain ridge (Little Red Hill) was chosen and equipped with a seismic array. In total seven EARSS instruments (Mark L-4-3D seismometers) were installed on the crest, the flank and the base of the 210 m high, 500 m wide, and 800 m long mountain edifice from February to July 2006. Seismic records of local and regional earthquakes, as well as seismic signals generated by an explosive source nearby, were recorded and are used to provide information on the modes of vibration as well as amplification and deamplification effects on different parts of the edifice. The ground motion records were analyzed using three different methods:comparisons of peak ground accelerations (PGA), power spectral density analysis (PSD), and standard spectral ratio analysis (SSR). Time and frequency domain analyses show that site amplification is concentrated along the elongated crest of the edifice where amplifications of up to 1100 % were measured relative to the motion at the flat base. Theoretical calculations and frequency analyses of field data indicate a maximum response along the ridge crest of Little Red Hill for frequencies of about 5 Hz, which correlate to wavelengths approximately equal to the half-width or height of the edifice (~240 m). The consequence of amplification effects on the stability and degradation of rock masses can be seen: areas showing high amplification effects overlap with the spatial distribution of seismogenic block fields at Little Red Hill. Additionally, a laboratory-scale (1:1,000) physical model was constructed to investigate the effect of topographic amplification of ground motion across a mountain edifice by simulating the situation of the Little Red Hill field experiment in a smallscale laboratory environment. The laboratory results show the maximum response of the model correlates to the fundamental mode of vibration of Little Red Hill at approximately 2.2 Hz. It is concluded that topography, geometry and distance to the seismic source, play a key role causing amplification effects of seismic ground motion and degradation of rock mass across bedrock-dominated mountain edifices.
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Saponaro, Annamaria [Verfasser], Stefano [Akademischer Betreuer] Parolai, Franz [Gutachter] Rackwitz, Fausto [Gutachter] Guzzetti, and Stefano [Gutachter] Parolai. "Cross-border risk assessment of earthquake-induced landslides in Central Asia / Annamaria Saponaro ; Gutachter: Franz Rackwitz, Fausto Guzzetti, Stefano Parolai ; Betreuer: Stefano Parolai." Berlin : Technische Universität Berlin, 2018. http://d-nb.info/1156335132/34.
Mita, Mara. "Assessment of seismic displacements of existing landslides through numerical modelling and simplified methods." Electronic Thesis or Diss., Université Gustave Eiffel, 2023. http://www.theses.fr/2023UEFL2075.
Les glissements de terrain sismo-induits sont des effets secondaires fréquents des séismes qui peuvent provoquer des dommages plus importants que les séismes eux-mêmes. Prévoir ces phénomènes est donc essentiel pour la gestion des risques dans les régions sismiques. Les déplacements co-sismiques sont généralement évalués par la méthode « bloc rigide » de Newmark (1965). Malgré ses limites, cette méthode a deux avantages: i) des temps de calcul relativement courts, ii) une compatibilité avec les logiciels SIG pour des analyses à l'échelle régionale. Les modélisations numériques complexes permettent quant à elles de simuler la propagation des ondes sismiques dans les versants et les effets associés. Cependant, elles sont caractérisées par des temps de calcul longs, ce qui limite leur utilisation à l'échelle des versants. L'objectif de cette étude est de mieux comprendre dans quel cas les méthodes analytiques et numériques prédisent des valeurs de déplacements différentes. 216 prototypes de glissements de terrain ont été définis en 2D en combinant des paramètres géométriques et géotechniques déduits de la littérature. Ces modèles ont été soumis à 17 signaux sismiques d'Intensité Arias constante (IA~ 0,1 m/s) et de période moyenne variable. Les résultats ont permis de définir un modèle « Random Forest » préliminaire pour prédire a priori la différence entre les valeurs de déplacements des deux méthodes. Les résultats ont ainsi permis : i) d'identifier les paramètres qui contrôlent les déplacements dans les deux méthodes, ii) de conclure que les différences entre les valeurs de déplacements sont négligeables dans la plupart des cas pour cette valeur de IA Landslides are common secondary effects related to earthquakes which can be responsible for greater damages than the ground shaking alone. Predicting these phenomena is therefore essential for risk management in seismic regions. Nowadays, landslides permanent co-seismic displacements are assessed by the traditional « rigid-sliding block » method proposed by Newmark (1965). Despite its limitations, this method has two advantages: i) relatively short computation times, ii) compatibility with GIS software for regional-scale analyses. Alternatively, more complex numerical analyses can be performed to simulate seismic waves propagation into slopes and related effects. However, due to their longer computation times, their use is usually limited to slope-scale analyses. This study aims at better understanding in which conditions (i.e. combinations of introduced relevant parameters), analytical and numerical methods predict different landslides earthquake-induced displacements. At this regard, 216 2D landslide prototypes were designed by combining geometrical and geotechnical parameters inferred by statistical analysis on data collected by literature review. Landslide prototypes were forced by 17 signals with constant Arias Intensity (AI ~ 0.1 m/s) and variable mean period. Results allowed defining a preliminary Random Forest model to predict a priori, the expected difference between displacements by the two methods. Analysis of results allowed: i) identifying parameters affecting displacement variation according to the two methods, ii) concluding that in here considered AI level, computed displacements differences are negligible in most of the cases
Ashland, Francis X. Reconnaissance of the Little Valley landslide, Draper, Utah: Evidence for possible late Holocene, earthquake-induced reactivation of a large pre-existing landslide. [Salt Lake City, Utah]: Utah Geological Survey, 2008.
Ashland, Francis X. Reconnaissance of the Draper Heights landslide and other possible earthquake-induced, shallow, disrupted soil and rock slides in Draper, Utah. [Salt Lake City, Utah]: Utah Geological Survey, 2008.
Ashland, Francis X. Reconnaissance of the Grandview Peak rock slide, Salt Lake County, Utah: A possible earthquake-induced landslide? [Salt Lake City, Utah]: Utah Geological Survey, 2008.
Hofmeister, R. Jon. Earthquake-induced slope instability: Methodology of relative hazard mapping, Salem Hills and Eola Hills, Marion and Polk counties, Oregon. [Portland, Or.]: Dept. of Geology and Mineral Industries, 2000.
Hofmeister, R. Jon. Earthquake-induced slope instability: Methodology of relative hazard mapping, Salem Hills and Eola Hills, Marion and Polk counties, Oregon. [Portland, Or.]: Dept. of Geology and Mineral Industries, 2000.
Hofmeister, R. Jon. Earthquake-induced slope instability: Methodology of relative hazard mapping, Salem Hills and Eola Hills, Marion and Polk counties, Oregon. Portland, Or: State of Oregon, Dept. of Geology and Mineral Industries, 2000.
Ugai, Keizo, Hiroshi Yagi, and Akihiko Wakai. Earthquake-Induced Landslides: Proceedings of the International Symposium on Earthquake-Induced Landslides, Kiryu, Japan 2012. Springer London, Limited, 2012.
Ugai, Keizo, Hiroshi Yagi, and Akihiko Wakai. Earthquake-Induced Landslides: Proceedings of the International Symposium on Earthquake-Induced Landslides, Kiryu, Japan, 2012. Springer, 2012.
Cui, Peng, Zhi-man Su, Xiao-qing Chen, and Jia-wen Zhou. "Formation and Risk Reduction of Landslide-Dammed Lakes Resulted by the M s 8.0 Wenchuan Earthquake: A Brief Review and a Proposal." In Earthquake-Induced Landslides, 3–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_1.
Ohno, Ryoichi, Satoshi Niwa, Hideya Iwata, and Sachihiko Ozawa. "An Examination of the Stability of an Earthquake-Induced Landslide and Landslide Dam." In Earthquake-Induced Landslides, 93–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_10.
Zou, Q., Z. M. Su, and X. H. Zhu. "Mechanism of Landslide-Debris Flow-Barrier Lake Disaster Chain After the Wenchuan Earthquake." In Earthquake-Induced Landslides, 917–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_100.
Huang, Runqiu, Guo Li, Nengpan Ju, and Jianjun Zhao. "Statistical Analysis of the Key Factors of Landslide Induced by Wenchuan Earthquake." In Earthquake-Induced Landslides, 925–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_101.
Li, Weile, Runqiu Huang, Chuan Tang, and Qiang Xu. "Simultaneous Debris Flows of 13 August 2010 in the Mianyuan River Basin, China." In Earthquake-Induced Landslides, 937–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_102.
Chen, Hong-zhi, Zhi-man Su, Jian-zhong Wang, and Zhi-quan Chen. "Post-seismic Surface Processes in the Zoumaling Gully in the Qingping Area, Southwestern China: Landslide, Debris-flow and Sediment Delivery." In Earthquake-Induced Landslides, 959–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_104.
Xu, Wen-jie, Yu-xin Jie, and Yu-zhen Yu. "Study on the Breakage Mode and Risk Analysis of Tangjiashan Barrier Dam." In Earthquake-Induced Landslides, 965–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_105.
Ge, Yonggang, Peng Cui, Xingzhang Chen, Xinghua Zhu, and Lingzhi Xiang. "Characteristics, Hazards and Mitigation of Debris Flows Along Min River after the Wenchuan Earthquake." In Earthquake-Induced Landslides, 975–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_106.
Conference papers on the topic "Earthquake-Induced landslides":
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Zhang, S., L. M. Zhang, B. Xiang, and Q. Yuan. "Travel Distances of Earthquake-induced Landslides." In Geo-Congress 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412787.101.
Huang, Xin, Jingrui Niu, Lei Xue, and Yuanyuan Wang. "Research of critical displacement method for earthquake-induced landslides." In 2011 Second International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2011. http://dx.doi.org/10.1109/mace.2011.5988403.
Cheng, Song, Hui Yu, Gang Yang, Ren Yang, Yuxian Liu, Zhongyou Zhang, Gang Xiong, Bo Peng, Yongheng Gao, and Jiyue Li. "Impacts of Wenchuan Earthquake-Induced Landslides on Tree Organ Nutrients." In 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). IEEE, 2012. http://dx.doi.org/10.1109/icbeb.2012.246.
Sridharan, Aadityan, and Sundararaman Gopalan. "DEM Based Categorisation of Landslides Induced by 2011 Sikkim Earthquake." In 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS). IEEE, 2019. http://dx.doi.org/10.1109/icicrs46726.2019.9555880.
Micu, Mihai, Hans-Balder Havenith, Dan Bălteanu, Alexandru Onaca, Anne-Sophie Mreyen, and Carmen Cioflan. "Certain and potential earthquake-induced landslides in Vrancea seismic region." In Proceedings of the Romanian Geomorphology Symposium, 33rd edition, Iași, 11-14 May 2017. Iași: Alexandru Ioan Cuza University of Iași Press, 2017. http://dx.doi.org/10.15551/prgs.2017.78.
Lim, B. J. M., and E. C. Leong. "Characteristics of Landslides Induced by the 25 April 2015 M7.8 Nepal Earthquake." In Geotechnical Earthquake Engineering and Soil Dynamics V. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481462.007.
Ebisuzaki, Toshikazu. "What Is Tsunami Earthquake?" In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-63104.
Abstract A tsunami earthquake is defined as an earthquake which induces abnormally strong tsunami waves compared with its seismic magnitude (Kanamori 1972; Kanamori and Anderson 1975; Tanioka and Seno 2001). We investigate the possibility that the surface waves (Rayleigh, Love, and tsunami waves) in tsunami earthquakes are amplified by secondly submarine landslides, induced by the liquefaction of the sea floor due to the strong vibrations of the earthquakes. As pointed by Kanamori (2004), tsunami earthquakes are significantly stronger in longer waves than 100 s and low in radiation efficiencies of seismic waves by one or two order of magnitudes. These natures are in favor of a significant contribution of landslides. The landslides can generate seismic waves with longer period with lower efficiency than the tectonic fault motions (Kanamori et al 1980; Eissler and Kanamori 1987; Hasegawa and Kanamori 1987). We further investigate the distribution of the tsunami earthquakes and found that most of their epicenters are located at the steep slopes in the landward side of the trenches or around volcanic islands, where the soft sediments layers from the landmass are nearly critical against slope failures. This distribution suggests that the secondly landslides may contribute to the tsunami earthquakes. In the present paper, we will investigate the rapture processes determined by the inversion analysis of seismic surface waves of tsunami earthquakes can be explained by massive landslides, simultaneously triggered by earthquakes in the tsunami earthquakes which took place near the trenches.
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Zhu, Zhongli. "An earthquake-induced landslides risk assessment model using the modelBuilder of ArcGIS." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567701.
Marui, Hideaki. "EARTHQUAKE-INDUCED LANDSLIDES - AN OVERVIEW AND MITIGATION MEASURES OF DISASTERS CAUSED BY THEM." In GEO-EXPO. Društvo za geotehniku u Bosni i Hercegovini, 2017. http://dx.doi.org/10.35123/geo-expo_2017_4.
Yasokawa, Iori, Takashi Gomi, and Yohei Arata. "Evaluating effects of earthquake induced landslides on forest carbon stocks: Cases study in 2018 Hokkaido Eastern Iburi Earthquake." In Goldschmidt2022. France: European Association of Geochemistry, 2022. http://dx.doi.org/10.46427/gold2022.9884.
