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Movements, failure and climatic control of the Veslemannen rockslide, Western Norway Landslides (IF 4.708) Pub Date : 2021-01-23 Lene Kristensen, Justyna Czekirda, Ivanna Penna, Bernd Etzelmüller, Pierrick Nicolet, José Santiago Pullarello, Lars Harald Blikra, Ingrid Skrede, Simon Oldani, Antonio Abellan
On September 5, 2019, the Veslemannen unstable rock slope (54,000 m3) in Romsdalen, Western Norway, failed catastrophically after 5 years of continuous monitoring. During this period, the rock slope weakened while the precursor movements increased progressively, in particular from 2017. Measured displacement prior to the failure was around 19 m in the upper parts of the instability and 4–5 m in the
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Correction to: Run-out distance exceedance probability evaluation and hazard zoning of an individual landslide Landslides (IF 4.708) Pub Date : 2021-01-20 Xiaoping Sun, Peng Zeng, Tianbin Li, Tianlong Zhang, Xianda Feng, Rafael Jimenez
The published version of this article contains error. The author noticed that there are several missing mathematical symbols on the paper. These includes in the following particular sections: Reliability methods, Implementation, Estimation of exceedance probability and Mechanical model and random variables.
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A reinterpretation of the Downie Slide (British Columbia, Canada) based on slope damage characterization and subsurface data interpretation Landslides (IF 4.708) Pub Date : 2021-01-15 Davide Donati, Allison M. Westin, Doug Stead, John J. Clague, Thomas W. Stewart, Martin S. Lawrence, Julia Marsh
The displacement of a large slow-moving landslide is accompanied by slope damage, such as fractures, tension cracks, and slope bulging. Studies of these features provide insight into the mechanisms responsible for the deformation. In this paper, we investigate slope damage at the Downie Slide, a very large landslide in British Columbia, Canada, that is slowly moving along two shear zones subparallel
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Experimental investigation on the interaction between rapid dry gravity-driven debris flow and array of obstacles Landslides (IF 4.708) Pub Date : 2021-01-15 Kongming Yan, Junsong He, Qiangong Cheng, Jianjing Zhang, Raul Fuentes
Arrays of obstacles are a potentially effective measure to manage a channel landslide run-out deposit. In this research, three kinds of debris sands with different particle sizes, 0.25–0.5 mm, 1–2 mm and 2–5 mm respectively, are investigated in a 4.28-m-long chute with a fixed incline angle of 40°. Structure from motion (SfM) and other novel image analysis techniques are proposed to analyse the deposits’
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Experimental investigation on the seismically induced cumulative damage and progressive deformation of the 2017 Xinmo landslide in China Landslides (IF 4.708) Pub Date : 2021-01-13 Ling Zhu, Shenghua Cui, Xiangjun Pei, Shanyong Wang, Shuang He, Xingxing Shi
A catastrophic landslide occurred in Xinmo village, Maoxian County, China, on June 24, 2016. The landslide destroyed the whole village and caused 10 deaths, and 73 people were reported to be missing. In this study, the contributions of historical earthquakes to rock damage and progressive deformation are the main focus. A detailed field investigation revealed that historical earthquakes seriously damaged
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Coupling InSAR and numerical modeling for characterizing landslide movements under complex loads in urbanized hillslopes Landslides (IF 4.708) Pub Date : 2021-01-13 Peifeng Ma, Yifei Cui, Weixi Wang, Hui Lin, Yuanzhi Zhang
Landslides, as a representative geohazard in fault zones, threaten the safety of buildings and infrastructure. Landslide movements are often subject to multiple loads in urbanized hillslopes from both natural and human activity. Synthetic aperture radar interferometry (InSAR) has been used to measure landslide movements. Used independently, InSAR can measure only surface deformation, and the points
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Changes in the rainfall event characteristics above the empirical global rainfall thresholds for landslide initiation at the pan-European level Landslides (IF 4.708) Pub Date : 2021-01-13 Nejc Bezak, Matjaž Mikoš
Rainfall-induced landslides are one of the most frequent natural disasters. Detection of changes in the characteristics of the rainfall events that can be regarded as triggering factor is therefore of primary importance for policy-makers, practitioners, civil protection units and others. This study evaluated changes in the frequency and intensity of rainfall events above selected empirical rainfall
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Experiments on granular flow behavior and deposit characteristics: implications for rock avalanche kinematics Landslides (IF 4.708) Pub Date : 2021-01-13 Kun Li, Yu-Feng Wang, Qi-Wen Lin, Qian-Gong Cheng, Yue Wu
Experimental dry granular flow with a flume configuration is a basic model used for simulating rock avalanches. Despite the establishment of many empirical relationships between single parameters and runout behavior, very limited attention has been focused on the corresponding mechanisms. To address this issue, the granular flow behavior and associated deposit characteristics are researched herein
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Preliminary report of a catastrophic landslide that occurred in Gokseong County, South Jeolla Province, South Korea, on August 7, 2020 Landslides (IF 4.708) Pub Date : 2021-01-11 Shin-Kyu Choi, Ryan Angeles Ramirez, Tae-Hyuk Kwon
We report a catastrophic landslide occurred in Gokseong County, South Korea, on August 7, 2020. Torrential rain, with a cumulative rainfall of more than 250 mm for the preceding 3 days, contributed as a trigger or a primer to an initiation of slope failure and ensuing evolution to a debris flow. The runout length, area, and volume of the Gokseong landslide are estimated to be approximately 678 m, 4
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Landslide risk management in Hong Kong Landslides (IF 4.708) Pub Date : 2021-01-08 Raymond W. M. Cheung
The combination of dense urban development, hilly terrain, and intense seasonal rainfall has caused acute landslide problems in Hong Kong, which are manifested by a death toll of over 470 people since the late 1940s. Tackling landslide problems in an urban setting, in particular under the effect of climate change, calls for a development and implementation of a holistic risk management strategy. It
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Comprehensive monitoring of talus slope deformation and displacement back analysis of mechanical parameters based on back-propagation neural network Landslides (IF 4.708) Pub Date : 2021-01-08 Haofeng Xing, Hao Zhang, Liangliang Liu, Duoxi Yao
Landslides are regarded as significant geological hazards across the world, causing serious economic losses and casualties. The understanding on deformation characteristics and failure mechanisms of landslides plays the vital roles in slope stability evaluation and reinforcement design. In this study, the deformation characteristics and failure mechanism of the Xiaomiaoling talus slope were analyzed
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Debris flow behavior during the September 2013 rainstorm event in the Colorado Front Range, USA Landslides (IF 4.708) Pub Date : 2021-01-07 Lauren N. Schaefer, Paul M. Santi, Troy C. Duron
Debris flows are highly unpredictable and mechanically chaotic phenomena that can spread or branch away from an expected path or pre-existing channel, a phenomenon termed avulsion. While avulsion is expected to occur over long time periods on mature debris fans, it can also occur on short time scales and outside of active portions of fans. This was the case during the 9–13 September 2013 rainstorm
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Preliminary analysis of a catastrophic landslide event on 6 August 2020 at Pettimudi, Kerala State, India Landslides (IF 4.708) Pub Date : 2021-01-07 A. L. Achu, Sabu Joseph, C. D. Aju, John Mathai
The Western Ghats, the most prominent orographic feature of peninsular India, occupying about 47% of Kerala state, is vulnerable to various types of landslides. The occurrence of cataclysmic landslides along the windward slope of Western Ghats during torrential rainfall is attributed to the unique physiography and climate. A disastrous landslide occurred in the Pettimudi village of Idukki district
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An insight into the hydrological aspects of landslides of 2018 in Kodagu, South India Landslides (IF 4.708) Pub Date : 2021-01-07 Mysuru R. Yadupathi Putty, B. N. Prithviraj, P. Nalina Kumar, M. G. Nithish, Ghanshyam Giri, P. N. Chandramouli
The goal of the work has been to assess the factors that led to the series of landslides, which ravaged the District of Kodagu situated in the mountainous Western Ghats, in 2018. The work has been accomplished through field investigations and analysis of field data. While commonly, studies in India lay emphasis on the geological aspects and anthropogenic factors associated with landslides, the present
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Influence of size gradation on particle separation and the motion behaviors of debris avalanches Landslides (IF 4.708) Pub Date : 2021-01-07 Yu-xiang Hu, Hai-bo Li, Gong-da Lu, Gang Fan, Jia-wen Zhou
Debris avalanches have complex structures due to the internal discreteness of fragmentation events. From a meso perspective, a debris avalanche is essentially a collection of debris particles of various sizes. Friction and collision events are directly influenced by the gradation of debris particles, restricting the movement process of debris avalanches. Accordingly, a series of numerical simulations
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Failure mechanisms and characteristics of the Zhongbao landslide at Liujing Village, Wulong, China Landslides (IF 4.708) Pub Date : 2021-01-07 Lichuan Chen, Haiqing Yang, Kanglei Song, Wei Huang, Xiaohu Ren, Hong Xu
This article describes the Zhongbao landslide that occurred in Liujing Village, Tudi Township, Wulong District, Chongqing, China, on July 25, 2020. Due to the catastrophic soil and rock landslide, the houses and village roads of three villagers in the landslide area are damaged and formed weirs. The landslide eventually formed a barrier lake. In order to reveal the failure mechanism of the landslide
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Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range Landslides (IF 4.708) Pub Date : 2021-01-07 Sujana Timilsina, Jeffrey D. Niemann, Sara L. Rathburn, Francis K. Rengers, Peter A. Nelson
Seven days of extreme rainfall during September 2013 produced more than 1100 debris flows in the Colorado Front Range, about 78% of which occurred on south-facing slopes (SFS). Previously published soil moisture (volumetric water content) observations suggest that SFS were wetter than north-facing slopes (NFS) during the event, which contrasts with soil moisture patterns observed during normal conditions
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Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian County, Sichuan Province, China Landslides (IF 4.708) Pub Date : 2021-01-07 Cheng Li, Lijun Su
Critical acceleration is an inherent property of a slope and determines the slope stability under seismic action. The critical acceleration model is a core element of regional seismic landslide hazard assessment. Therefore, the purpose of this paper is to reveal the influence of different critical acceleration models on assessments of potential earthquake–induced landslide hazards. Traditionally, the
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A possible mechanism of earthquake-induced landslides focusing on pulse-like ground motions Landslides (IF 4.708) Pub Date : 2021-01-07 Guangqi Chen, Mingyao Xia, Dao Thanh Thuy, Yingbin Zhang
This paper proposes a mechanism of earthquake-induced landslides with pulse-like ground motion (PLGM) based on the discontinuous deformation analysis (DDA) method. In recent near-fault earthquake-induced landslides, the two phenomena confusing landslide researchers are observed. One is that large-scale landslides occurred in the area with small PGA but no landslide in the area with large PGA, for example
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Spatiotemporal variations of fatal landslides in Turkey Landslides (IF 4.708) Pub Date : 2021-01-07 Tolga Görüm, Seçkin Fidan
Landslides are one of the devastating geohazards that cause extensive socio-economic and environmental damages on local, regional, and global scales. Previous studies based on digital media sources have attracted attention to the high fatal landslide rate in Turkey, at a continental or global scale; however, the preparation of a comprehensive and long-term database for Turkey has been neglected until
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Dynamic process analysis of the Baige landslide by the combination of DEM and long-period seismic waves Landslides (IF 4.708) Pub Date : 2021-01-07 Huicong An, Chaojun Ouyang, Shu Zhou
In this study, based on the frictional velocity-weakening law used in continuum modeling, an adapted Hertz-Mindlin contact model between particles and the ground surface is established to accurately simulate the landslide dynamics process. Moreover, the long-period seismic waves indicating the dynamic characteristics of large landslides are adopted to determine the computational parameters for the
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Experimental investigation of mobility and deposition characteristics of dry granular flow Landslides (IF 4.708) Pub Date : 2021-01-07 Fangwei Yu, Lijun Su
This paper presents an experimental investigation of mobility and deposition characteristics of dry granular flow, by a number of flume tests on silica sand no. 3 and silica sand no. 7, to interpret the effects of angle of slope, granular volume, cushion, granular structure, and granular size on the mobility and deposition characteristics of granular flow. Along a given slope, an increase of the amount
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The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea Landslides (IF 4.708) Pub Date : 2021-01-06 Won Young Lee, Seon Ki Park, Hyo Hyun Sung
The purpose of this study is to establish the criteria for a landslide early warning system (LEWS). We accomplished this by deriving optimal thresholds for the cumulative event rainfall–duration (ED) and identifying the characteristics of the rainfall variables associated with a high probability of landslide occurrence via a Bayesian model. We have established these system criteria using rainfall and
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Quantifying the contribution of matric suction on changes in stability and displacement rate of a translational landslide in glaciolacustrine clay Landslides (IF 4.708) Pub Date : 2021-01-06 K. Sattler, D. Elwood, M. T. Hendry, D. Huntley, J. Holmes, P. B. Wilkinson, J. Chambers, S. Donohue, P. I. Meldrum, R. Macciotta, P. T. Bobrowsky
A study of factors impacting landslide displacement rates was conducted on the Ripley Landslide within the Thompson River valley in British Columbia, Canada for the International Programme on Landslides’ project #202. Seasonal and multiyear changes in atmospheric factors cause cyclic fluctuation of matric suction in the vadose zone through changes to the in situ water content. The ingress of moisture
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Failure mechanism and stability analysis of a reactivated landslide occurrence in Yanyuan City, China Landslides (IF 4.708) Pub Date : 2021-01-05 Kun He, Guotao Ma, Xiewen Hu, Bo Liu
This paper presents a recent rainfall-induced reactivated compound soil slide in Yanyuan County, China, on July 19, 2018. In this paper, according to the elaborate investigation of the soil slide area at field and prefailure slope stability analysis, the corresponding failure mechanisms are comprehensively studied. Unmanned aerial vehicle (UAV) based on remote sensing, three-dimensional modelling,
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Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides Landslides (IF 4.708) Pub Date : 2021-01-05 Gaetano Pecoraro, Michele Calvello
A methodology designed to integrate widespread meteorological monitoring and pore water pressure measurements is proposed. The procedure is tested in 30 hydrological basins highly susceptible to weather-induced landslides in Norway. The following data are used: a catalog of 125 weather-induced landslides in soils registered between January 2013 and June 2017, widespread meteorological monitoring data
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The root causes of landslide vulnerability in Bangladesh Landslides (IF 4.708) Pub Date : 2021-01-05 Bayes Ahmed
Communities living in the Chittagong Hill Districts (CHD) of Bangladesh recurrently observe landslide disasters during the monsoon season (June–September). CHD is primarily dominated by three distinct groups of hill communities, namely, urbanised hill (Bengali), indigenous tribal and stateless Rohingya refugees. Landslide vulnerability amongst them is complex and varies between physical, social, economic
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Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach Landslides (IF 4.708) Pub Date : 2021-01-05 Sansar Raj Meena, Omid Ghorbanzadeh, Cees J. van Westen, Thimmaiah Gudiyangada Nachappa, Thomas Blaschke, Ramesh P. Singh, Raju Sarkar
Rainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScope imagery and deep learning convolution neural networks (CNNs) to map the 2018 rainfall-induced landslides in the Kodagu district of Karnataka state in the Western Ghats of India. We used a fourfold
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Emergency response to the reactivated Aniangzhai landslide resulting from a rainstorm-triggered debris flow, Sichuan Province, China Landslides (IF 4.708) Pub Date : 2021-01-03 Bo Zhao, Haiquan Zhang, Liao Hongjian, Weile Li, Lijun Su, Wenxiu He, Lu Zeng, Haokun Qin, Megh Raj Dhital
On June 17, 2020, an unexpected rainstorm struck the Meilong valley, which is located in Danba County, Sichuan Province, China. The cumulative rainfall of this short-duration event reached 38.1–42.4 mm and triggered the Meilong debris flow. The Meilong debris flow rushed into the valley and forced the Xiaojinchuan (XJC) River to flow along the foot of the ancient Aniangzhai (ANZ) landslide. Intense
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Exploring ERA5 reanalysis potentialities for supporting landslide investigations: a test case from Campania Region (Southern Italy) Landslides (IF 4.708) Pub Date : 2021-01-02 Alfredo Reder, Guido Rianna
Recently, ECMWF has released a new generation of reanalysis, acknowledged as ERA5, able to deliver a comprehensive, free, and operative picture of the past weather, exploiting the data assimilation of historical observations from different sources (satellite, in situ, multiple variables) for both atmospheric and soil variables. Experiences concerning flooding issues suggest that ERA5 could support
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Back-analysis of Donghekou landslide using improved DDA considering joint roughness degradation Landslides (IF 4.708) Pub Date : 2021-01-02 Jinmei Wang, Yingbin Zhang, Yanlong Chen, Qingdong Wang, Chenlin Xiang, Haiying Fu, Pan Wang, John X. Zhao, Lian-heng Zhao
Currently, the dynamic behavior of high-speed long-runout landslides triggered by earthquakes remains unclear due to the complexity of such phenomena. Degradation in the shear strength of rock masses is considered a primary factor contributing to the high velocities and long runout distances of these landslides. In this study, the strength degradation induced by changes in rock joint morphology is
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Correction to: The energy transfer from granular landslides to water bodies explained by a data-driven, physics-based numerical model Landslides (IF 4.708) Pub Date : 2020-12-17 Francesco Bregoli, Vicente Medina, Allen Bateman
The published version of this article contains error. The author noticed that there are many mistakes in the formatting and layout the paper. These include author affiliation, equations, figure resolution, open access license, Table 1 layout and some of the references.
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A spatiotemporal object-oriented data model for landslides (LOOM) Landslides (IF 4.708) Pub Date : 2020-12-08 Mario Valiante, Domenico Guida, Marta Della Seta, Francesca Bozzano
LOOM (landslide object-oriented model) is here presented as a data structure for landslide inventories based on the object-oriented paradigm. It aims at the effective storage, in a single dataset, of the complex spatial and temporal relations between landslides recorded and mapped in an area and at their manipulation. Spatial relations are handled through a hierarchical classification based on topological
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Pile driving and submarine slope stability: a hybrid engineering approach Landslides (IF 4.708) Pub Date : 2020-12-04 P. Lamens, A. Askarinejad
During pile installation into a submerged, sandy slope, liquefaction mechanisms including flow and cyclic liquefaction warrant attention. Because of the interconnection of these mechanisms, evaluating slope stability during and as a result of vibration-inducing construction activity is not trivial. This paper presents a practical approach to such an evaluation. The primary focus of any slope stability
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Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale Landslides (IF 4.708) Pub Date : 2020-12-03 M. Bordoni, V. Vivaldi, L. Lucchelli, L. Ciabatta, L. Brocca, J. P. Galve, C. Meisina
A combined method was developed to forecast the spatial and the temporal probability of occurrence of rainfall-induced shallow landslides over large areas. The method also allowed to estimate the dynamic change of this probability during a rainfall event. The model, developed through a data-driven approach basing on Multivariate Adaptive Regression Splines technique, was based on a joint probability
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Analysis of the run-out processes of the Xinlu Village landslide using the generalized interpolation material point method Landslides (IF 4.708) Pub Date : 2020-11-23 Chunye Ying, Kun Zhang, Ze-Nian Wang, Sumi Siddiqua, Gehad Mohamed Hossam Makeen, Luqi Wang
The prediction of the landslide kinetic features is of great importance in minimizing the potential hazardous impacts and in applying the appropriate stabilization techniques. The present study used the generalized interpolation material point (GIMP) method to analyze the run-out processes of the Xinlu Village landslide that has taken place in Xinlu Village, Chongqing, China, in 2016. The evolutions
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A calculation model of the normal coefficient of restitution based on multi-factor interaction experiments Landslides (IF 4.708) Pub Date : 2020-11-23 Zhong-Min Ji, Zhi-Jian Chen, Qing-He Niu, Ting-Hui Wang, Tian-Jun Wang, Tian-Li Chen
As a key input parameter for simulating the moving trail of a rockfall, the magnitude of the normal coefficient of restitution (Rn) directly affects the prediction accuracy. However, few comprehensive and accurate calculation models are available for reference, owing to the fact that Rn is jointly controlled by multiple factors with the influence mechanisms being complex. Considering the interactive
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Lessons learned by 10 years of geophysical measurements with Civil Protection in Basilicata (Italy) landslide areas Landslides (IF 4.708) Pub Date : 2020-11-23 Angela Perrone
In the last 10 years, also due to climate change, extreme rain events have affected the Basilicata region (southern Italy) causing landslides and floods that have damaged urban fabric, commercial activities and transport infrastructures. In many of these cases, the civil protection system, involving national (DPC) and regional (DRPC) Civil Protection Departments, was activated to manage the emergency
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Correction to: Characterizing the distribution pattern and geologic and geomorphic controls on earthquake-triggered landslide occurrence during the 2017 M s 7.0 Jiuzhaigou earthquake, Sichuan, China Landslides (IF 4.708) Pub Date : 2020-11-12 Sixiang Ling, Chunwei Sun, Xiaoning Li, Yong Ren, Jianxiang Xu, Tao Huang
The published version of this article contains error. The equation (1) lost delta (Δ) before equal sign and five lines from the bottom before “-index”, here needs modification to “Δ-index”.
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Experimental validation of a new semi-empirical impact force model of the dry granular flow impact against a rigid barrier Landslides (IF 4.708) Pub Date : 2020-11-04 Yuan-Jun Jiang, Xiao-Yi Fan, Li-Jun Su, Si-you Xiao, Jing Sui, Rui-Xiao Zhang, Yue Song, Zhi-Wen Shen
The maximum impact force of granular flow and its action point on a rigid barrier are the key indices of the anti-slip and the anti-overturning calculation, respectively. On the basis of the present impact force models and the observation in model experiments, this paper proposes a new semi-empirical impact force model focusing on the normal impact force and its point of action. By comparing the analytical
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Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal Landslides (IF 4.708) Pub Date : 2020-11-02 Badal Pokharel, Omar F. Althuwaynee, Ali Aydda, Sang-Wan Kim, Samsung Lim, Hyuck-Jin Park
In this article, we propose and test alternative sampling strategies based on clustering distribution concepts to increase the efficiency of the landslide susceptibility model outcomes, instead of common random selection method for training and testing samples. To that end, we prepared a comprehensive landslide inventory and used six unsupervised clustering algorithms (K-means, K-medoids, hierarchical
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Geomorphology and triggering mechanism of a river-damming block slide: February 2018 Mangapoike landslide, New Zealand Landslides (IF 4.708) Pub Date : 2020-11-02 Sam McGovern, Martin S. Brook, Murry Cave
Landslide dams can be very dangerous, with inundation occurring via rising waters upstream, and flooding downstream via dam breaching. Here, we report on a landslide that dammed the Mangapoike River in eastern North Island, New Zealand. The landslide is a low-angle wedge failure in the Miocene weak rock sandstones and mudstones of the Tolaga Group, forming a landslide dam (volume c. 8 million m3) and
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Experimental studies on the interaction mechanism of landslide stabilizing piles and sandwich-type bedrock Landslides (IF 4.708) Pub Date : 2020-10-31 Zhen Zhong, Rui Yong, Huiming Tang, Changdong Li, Shigui Du
The mechanical properties of stabilizing piles are directly affected by the spatial structure of the bedrock of landslides. To effectively reinforce landslides with a sandwich-type bedrock, the interaction mechanism between manually excavated stabilizing piles and the different types of bedrock must be investigated. The research presents experimental models of manually excavated stabilizing piles for
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The energy transfer from granular landslides to water bodies explained by a data-driven, physics-based numerical model Landslides (IF 4.708) Pub Date : 2020-10-29 Francesco Bregoli, Vicente Medina, Allen Bateman
Landslides falling into water can trigger tsunamis, which are particularly destructive in the proximity of the landslide impact and in narrow water bodies. The energy transfer mechanism between landslide and water wave is complex, but its understanding is of fundamental importance for the numerical modeling which aims to predict the induced wave hazard. In order to study the involved physical processes
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MPM evaluation of the dynamic runout process of the giant Daguangbao landslide Landslides (IF 4.708) Pub Date : 2020-10-29 Xinpo Li, Xiong Tang, Shuxi Zhao, Qiwei Yan, Yong Wu
Giant landslides can cause significant damage to their dynamic runout processes. Understanding the mechanics of the runout process is essential for landslide risk assessment and mitigation design. This paper investigates the runout process of the 1.16 × 109 m3 giant Daguangbao landslide triggered by the 2008 Ms 8.0 Wenchuan earthquake. The Daguangbao landslide is a typical bedding-plane slide and the
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Deep convolutional neural network–based pixel-wise landslide inventory mapping Landslides (IF 4.708) Pub Date : 2020-10-28 Zhaoyu Su, Jun Kang Chow, Pin Siang Tan, Jimmy Wu, Ying Kit Ho, Yu-Hsing Wang
This paper reports a feasible alternative to compile a landslide inventory map (LIM) from remote sensing datasets using the application of an artificial intelligence–driven methodology. A deep convolutional neural network model, called LanDCNN, was developed to generate segmentation maps of landslides, and its performance was compared with the benchmark model, named U-Net, and other conventional object-based
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Modeling of rainfall-induced landslides using a full-scale flume test Landslides (IF 4.708) Pub Date : 2020-10-22 Kwangwoo Lee, Jaewook Suk, Hyunki Kim, Sangseom Jeong
A flume test was conducted to evaluate the failure mechanism of a rainfall-induced landslide and to develop a physically based warning system. The test was performed at full scale to prevent scale effects, and the flume was a rectangular channel that was 20 m long, 4 m wide, and 2.5 m deep. The volumetric water content and the matric suction were measured at various depths to determine the rainfall
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Multiseasonal probabilistic slope stability analysis of a large area of unsaturated pyroclastic soils Landslides (IF 4.708) Pub Date : 2020-10-21 Sabatino Cuomo, Elena Benedetta Masi, Veronica Tofani, Mariagiovanna Moscariello, Guglielmo Rossi, Fabio Matano
The analysis of slope stability over large areas is a demanding task for several reasons, such as the need for extensive datasets, the uncertainty of collected data, the difficulty of accounting for site-specific factors, and the considerable computation time required due to the size of investigated areas, which can pose major barriers, particularly in civil protection contexts where rapid analysis
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Paraglacial rock-slope deformations: sudden or delayed response? Insights from an integrated numerical modelling approach Landslides (IF 4.708) Pub Date : 2020-10-20 Margherita Cecilia Spreafico, Pietro Sternai, Federico Agliardi
Glacial and paraglacial processes have a major influence on rock slope stability in alpine environments. Slope deglaciation causes debuttressing, stress and hydro-mechanical perturbations that promote progressive slope failure and the development of slow rock slope deformation possibly evolving until catastrophic failure. Paraglacial rock slope failures can develop soon after or thousands of years
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Characterizing the distribution pattern and geologic and geomorphic controls on earthquake-triggered landslide occurrence during the 2017 M s 7.0 Jiuzhaigou earthquake, Sichuan, China Landslides (IF 4.708) Pub Date : 2020-10-16 Sixiang Ling, Chunwei Sun, Xiaoning Li, Yong Ren, Jianxiang Xu, Tao Huang
This work aims to characterize the earthquake-triggered landslides (EQTLs) during the 2017 Jiuzhaigou earthquake and to describe the geological and geomorphological control of landslide hazards. The Jiuzhaigou-EQTLs were studied via field-based investigation and remote sensing techniques during few weeks immediately after the mainshock occurred. The Jiuzhaigou earthquake produced an 11.4-km2 landslide
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Mechanism of a catastrophic landslide occurred on May 12, 2019, Qinghai Province, China Landslides (IF 4.708) Pub Date : 2020-10-16 Min Xia, Guang Ming Ren, Xi Li Yang
On May 12, 2019, a landslide occurred near a construction site of a reservoir dam along the left bank of the Wulong River, Qinghai Province, China. Video footage showed that the entire failure process of the landslide lasted for 15 min. Although an excavator that parked on the foundation pit was buried and the Wulong River was blocked, this landslide did not cause any casualties. Based on field investigations
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Numerical study on the evolution process of a geohazards chain resulting from the Yigong landslide Landslides (IF 4.708) Pub Date : 2020-10-13 Gordon G. D. Zhou, Pamela Jessica Cacela Roque, Yunxu Xie, Dongri Song, Qiang Zou, Huayong Chen
Geohazard chain processes in mountainous areas generally entail a landslide, followed by a dammed lake, a dam breach, and then outburst flooding. These chains have greater destructive power and a larger area of coverage than a single process, of which a representative event is the April 2000 Yigong landslide in Tibet, China. In this study, a two-part, numerical back-analysis of the entire chain process
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A comparative study of soil processes in depletion and accumulation zones of permafrost landslides in Siberia Landslides (IF 4.708) Pub Date : 2020-10-12 Oxana V. Masyagina, Svetlana Yu. Evgrafova, Valentina V. Kholodilova, Stanislav G. Prokushkin
Landslides are one of the main reasons for permafrost degradation in high latitudes. Any landslides consist of different top-down slope zones: removal, transit-depletion, and accumulation zones. These slope parts can demonstrate different successional behavior of plant community and carbon (C) cycling during post-sliding seral stages. To address this issue, soil respiration (SR), hydrothermal conditions
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Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China Landslides (IF 4.708) Pub Date : 2020-10-10 Qi Zhou, Qiang Xu, Dalei Peng, Xuanmei Fan, Chaojun Ouyang, Kuanyao Zhao, Huajin Li, Xing Zhu
Landslide disasters are associated with severe losses on the Loess Plateau of China. Although early warning systems and susceptibility mapping have mitigated this issue to some extent, most methods are qualitative or semi-quantitative in the site-specific range. In this paper, a quantitative spatial distribution model is presented for site-specific loess landslide hazard assessment. Coupled with multi-temporal
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Outline of measures for sediment disaster by the Sabo department of MLIT, Japan Landslides (IF 4.708) Pub Date : 2020-10-07 Kanbara Junichi, Imamori Naoki
From year to year, sediment disasters are getting more and more frequent and serious in Japan, resulting in the loss of many lives and properties such as houses and public work facilities. The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) and other government agencies have long been taking various measures for disaster prevention and disaster reduction against sediment disasters. The
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Landslide monitoring and runout hazard assessment by integrating multi-source remote sensing and numerical models: an application to the Gold Basin landslide complex, northern Washington Landslides (IF 4.708) Pub Date : 2020-10-07 Yuankun Xu, David L. George, Jinwoo Kim, Zhong Lu, Mark Riley, Todd Griffin, Juan de la Fuente
The landslide complex at Gold Basin, Washington, has been drawing considerable attention after a catastrophic runout of the nearby landslide at Oso, Washington, in 2014. To evaluate potential threats of the Gold Basin landslide to the campground down the slope, remote sensing and numerical modeling were integrated to monitor recent landslide activity and simulate hypothetical runout scenarios. Bare-earth
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Reliability analysis of unsaturated soil slope stability using spatial random field-based Bayesian method Landslides (IF 4.708) Pub Date : 2020-10-06 M. L. Huang, D. A. Sun, C. H. Wang, Y. Keleta
Rainfall and water level change are two of the main factors causing failure of reservoir slopes. Thus, soil-fluid mechanics is applied with the fluctuation of groundwater table. However, many of the geotechnical parameters needed for the analysis are highly varied. Spatial random field-based Bayesian method is proposed, which can systematically assimilate prior knowledge, borehole testing data, and
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Run-out distance exceedance probability evaluation and hazard zoning of an individual landslide Landslides (IF 4.708) Pub Date : 2020-10-06 Xiaoping Sun, Peng Zeng, Tianbin Li, Tianlong Zhang, Xianda Feng, Rafael Jimenez
Due to large uncertainties embedded in their geotechnical parameters, dynamic numerical models of landslide run-out distance can only be reliably applied to conduct post-failure back analyses, rather than accurate physical-based forward predictions. Therefore, it is important to quantify these uncertainties, and their effects, to improve the reliability of predictions. This paper proposes a run-out
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Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area Landslides (IF 4.708) Pub Date : 2020-10-06 Dario Peduto, Mariantonia Santoro, Luigi Aceto, Luigi Borrelli, Giovanni Gullà
The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries
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Probabilistic evaluation of loess landslide impact using multivariate model Landslides (IF 4.708) Pub Date : 2020-10-04 Ling Xu, Dongdong Yan, Tengyuan Zhao
The Loess Plateau is the largest loess accumulation area around the world, onto which loess landslides have been occurring frequently each year, thus bringing significant threats to communities there. To mitigate or manage the risk brought by loess landslides, many methods have been developed to gain insights into mechanisms that trigger loess landslides, or to identify regions that are susceptible
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