Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-397-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-397-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
26 Jan 2018
Brief communication |
| 26 Jan 2018
| 26 Jan 2018
Brief communication: Post-seismic landslides, the tough lesson of a catastrophe
Xuanmei Fan
The State Key Laboratory of Geohazards Prevention and
Geoenvironment Protection (SKLGP), Chengdu University of Technology,
Chengdu, Sichuan, 610059, China
Qiang Xu
CORRESPONDING AUTHOR
The State Key Laboratory of Geohazards Prevention and
Geoenvironment Protection (SKLGP), Chengdu University of Technology,
Chengdu, Sichuan, 610059, China
The State Key Laboratory of Geohazards Prevention and
Geoenvironment Protection (SKLGP), Chengdu University of Technology,
Chengdu, Sichuan, 610059, China
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Earth Syst. Sci. Data, 16, 4817–4842, https://doi.org/10.5194/essd-16-4817-2024, https://doi.org/10.5194/essd-16-4817-2024, 2024
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In this study, we present the largest publicly available landslide dataset, Globally Distributed Coseismic Landslide Dataset (GDCLD), which includes multi-sensor high-resolution images from various locations around the world. We test GDCLD with seven advanced algorithms and show that it is effective in achieving reliable landslide mapping across different triggers and environments, with great potential in enhancing emergency response and disaster management.
Isabelle Utley, Tristram Hales, Ekbal Hussain, and Xuanmei Fan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2277, https://doi.org/10.5194/egusphere-2024-2277, 2024
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We analysed debris flows in Sichuan, China, using satellite data and simulations to assess check dam efficacy. Our study found whilst check dams can mitigate smaller flows, they may increase exposure to extreme events, with up to 40 % of structures in some areas affected. Urban development and reliance on check dams can create a false sense of security, raising exposure during large debris flows and highlights the need for risk management and infrastructure planning in hazard-prone areas.
Jingjuan Li, John D. Jansen, Xuanmei Fan, Zhiyong Ding, Shugang Kang, and Marco Lovati
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In this study, we investigated the geomorphology, sedimentology, and chronology of Tuanjie (seven terraces) and Taiping (three terraces) terraces in Diexi, eastern Tibetan Plateau. Results highlight that two damming and three outburst events occurred in the area during the late Pleistocene, and the outburst floods have been a major factor in the formation of tectonically active mountainous river terraces. Tectonic activity and climatic changes play a minor role.
Xiangyang Dou, Xuanmei Fan, Ali P. Yunus, Junlin Xiong, Ran Tang, Xin Wang, and Qiang Xu
EGUsphere, https://doi.org/10.5194/egusphere-2022-586, https://doi.org/10.5194/egusphere-2022-586, 2022
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This study created a multi-temporal inventory of glacial lake from 1990 to 2019 throughout the Tibetan Plateau . In here, we demonstrated the quantity and size of glacier lakes have grown by 3285 and 258.82 sq km, respectively. The distribution of glacial lakes across the 17 mountains of TP is uneven, and the pace of area change varies per subregion. Most glacial lakes are distributed in the elevation range of 4400–5400 m above sea level, with an obvious expansion tendency in recent decades.
Chengbin Zou, Paul Carling, Zetao Feng, Daniel Parsons, and Xuanmei Fan
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-119, https://doi.org/10.5194/tc-2022-119, 2022
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Climate change is causing mountain lakes behind glacier barriers to drain through ice tunnels as catastrophe floods, threatening people and infrastructure downstream. Understanding of how process works can mitigate the impacts by providing advanced warnings. A laboratory study of ice tunnel development improved understanding of how floods evolve. The principles of ice tunnel development were defined numerically and can be used to better model natural floods leading to improved prediction.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-354, https://doi.org/10.5194/essd-2021-354, 2021
Revised manuscript not accepted
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Due to global warming, the glaciers in the Tibetan Plateau (TP) undergoes rapid melting, leading to an increase in the number of glacial lakes and lake areas. However, these changes are not homogenous throughout TP. Here, we present the 30 years (1990–2019) record of glacial lakes inventory of TP using archived Landsat images. We showed that the number and area of glacial lakes increased by 3285 and 258.82 km2 in the last three decades in TP.
Oliver R. Francis, Tristram C. Hales, Daniel E. J. Hobley, Xuanmei Fan, Alexander J. Horton, Gianvito Scaringi, and Runqiu Huang
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Large earthquakes can build mountains by uplifting bedrock, but they also erode them by triggering large volumes of coseismic landsliding. Using a zero-dimensional numerical model, we identify that the storage of sediment produced by earthquakes can affect surface uplift and exhumation rates across the mountain range. However, the storage also reduces the time span at which the impact of the earthquake can be measured, preventing the recognition of single earthquakes in many long-term records.
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Large earthquakes cause major disturbances to mountain landscapes. They trigger many landslides that can form deposits of debris on steep slopes and channels. Rainfall can remobilise these deposits and generate large and destructive flow-like landslides and floods. We release two datasets that track a decade of landsliding following the 2008 7.9 magnitude Wenchuan earthquake in China. These data are useful for quantifying the role of major earthquakes in shaping mountain landscapes.
Weiwei Zhan, Xuanmei Fan, Runqiu Huang, Xiangjun Pei, Qiang Xu, and Weile Li
Nat. Hazards Earth Syst. Sci., 17, 833–844, https://doi.org/10.5194/nhess-17-833-2017, https://doi.org/10.5194/nhess-17-833-2017, 2017
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2277, https://doi.org/10.5194/egusphere-2024-2277, 2024
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We analysed debris flows in Sichuan, China, using satellite data and simulations to assess check dam efficacy. Our study found whilst check dams can mitigate smaller flows, they may increase exposure to extreme events, with up to 40 % of structures in some areas affected. Urban development and reliance on check dams can create a false sense of security, raising exposure during large debris flows and highlights the need for risk management and infrastructure planning in hazard-prone areas.
Jingjuan Li, John D. Jansen, Xuanmei Fan, Zhiyong Ding, Shugang Kang, and Marco Lovati
Earth Surf. Dynam., 12, 953–971, https://doi.org/10.5194/esurf-12-953-2024, https://doi.org/10.5194/esurf-12-953-2024, 2024
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Xiangyang Dou, Xuanmei Fan, Ali P. Yunus, Junlin Xiong, Ran Tang, Xin Wang, and Qiang Xu
EGUsphere, https://doi.org/10.5194/egusphere-2022-586, https://doi.org/10.5194/egusphere-2022-586, 2022
Preprint withdrawn
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This study created a multi-temporal inventory of glacial lake from 1990 to 2019 throughout the Tibetan Plateau . In here, we demonstrated the quantity and size of glacier lakes have grown by 3285 and 258.82 sq km, respectively. The distribution of glacial lakes across the 17 mountains of TP is uneven, and the pace of area change varies per subregion. Most glacial lakes are distributed in the elevation range of 4400–5400 m above sea level, with an obvious expansion tendency in recent decades.
Chengbin Zou, Paul Carling, Zetao Feng, Daniel Parsons, and Xuanmei Fan
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-119, https://doi.org/10.5194/tc-2022-119, 2022
Manuscript not accepted for further review
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Climate change is causing mountain lakes behind glacier barriers to drain through ice tunnels as catastrophe floods, threatening people and infrastructure downstream. Understanding of how process works can mitigate the impacts by providing advanced warnings. A laboratory study of ice tunnel development improved understanding of how floods evolve. The principles of ice tunnel development were defined numerically and can be used to better model natural floods leading to improved prediction.
Xiangyang Dou, Xuanmei Fan, Ali P. Yunus, Junlin Xiong, Ran Tang, Xin Wang, and Qiang Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-354, https://doi.org/10.5194/essd-2021-354, 2021
Revised manuscript not accepted
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Due to global warming, the glaciers in the Tibetan Plateau (TP) undergoes rapid melting, leading to an increase in the number of glacial lakes and lake areas. However, these changes are not homogenous throughout TP. Here, we present the 30 years (1990–2019) record of glacial lakes inventory of TP using archived Landsat images. We showed that the number and area of glacial lakes increased by 3285 and 258.82 km2 in the last three decades in TP.
Oliver R. Francis, Tristram C. Hales, Daniel E. J. Hobley, Xuanmei Fan, Alexander J. Horton, Gianvito Scaringi, and Runqiu Huang
Earth Surf. Dynam., 8, 579–593, https://doi.org/10.5194/esurf-8-579-2020, https://doi.org/10.5194/esurf-8-579-2020, 2020
Short summary
Short summary
Large earthquakes can build mountains by uplifting bedrock, but they also erode them by triggering large volumes of coseismic landsliding. Using a zero-dimensional numerical model, we identify that the storage of sediment produced by earthquakes can affect surface uplift and exhumation rates across the mountain range. However, the storage also reduces the time span at which the impact of the earthquake can be measured, preventing the recognition of single earthquakes in many long-term records.
Xuanmei Fan, Gianvito Scaringi, Guillem Domènech, Fan Yang, Xiaojun Guo, Lanxin Dai, Chaoyang He, Qiang Xu, and Runqiu Huang
Earth Syst. Sci. Data, 11, 35–55, https://doi.org/10.5194/essd-11-35-2019, https://doi.org/10.5194/essd-11-35-2019, 2019
Short summary
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Large earthquakes cause major disturbances to mountain landscapes. They trigger many landslides that can form deposits of debris on steep slopes and channels. Rainfall can remobilise these deposits and generate large and destructive flow-like landslides and floods. We release two datasets that track a decade of landsliding following the 2008 7.9 magnitude Wenchuan earthquake in China. These data are useful for quantifying the role of major earthquakes in shaping mountain landscapes.
Weiwei Zhan, Xuanmei Fan, Runqiu Huang, Xiangjun Pei, Qiang Xu, and Weile Li
Nat. Hazards Earth Syst. Sci., 17, 833–844, https://doi.org/10.5194/nhess-17-833-2017, https://doi.org/10.5194/nhess-17-833-2017, 2017
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Channelized rock avalanches are a type of rock slope failures with massive flow-like movements of fragmented rock, which are potentially dangerous due to their strong mobility. This study built an empirical prediction model of travel distance using the Wenchuan earthquake dataset. The results suggest that the movement was dominated by the landslide volume, total relief and channel gradient. The model was tested by a separate dataset and proved to be useful in other regions as well.
Qiang Xu, Dalei Peng, Weile Li, Xiujun Dong, Wei Hu, Minggao Tang, and Fangzhou Liu
Nat. Hazards Earth Syst. Sci., 17, 277–290, https://doi.org/10.5194/nhess-17-277-2017, https://doi.org/10.5194/nhess-17-277-2017, 2017
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Chenchen Qiu and Xueyu Geng
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Landslides are complex phenomena causing important impacts in vulnerable areas, and they are often triggered by rainfall. Here, we develop a new approach that uses information on the temporal clustering of rainfall, i.e. multiple events close in time, to detect landslide events and compare it with the use of classical empirical rainfall thresholds, considering as a case study the region of Lisbon, Portugal. The results could help to improve the prediction of rainfall-triggered landslides.
Jianqi Zhuang, Jianbing Peng, Chenhui Du, Yi Zhu, and Jiaxu Kong
Nat. Hazards Earth Syst. Sci., 24, 2615–2631, https://doi.org/10.5194/nhess-24-2615-2024, https://doi.org/10.5194/nhess-24-2615-2024, 2024
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The Revised Infinite Slope Model (RISM) is proposed using the equal differential unit method and correcting the deficiency of the safety factor increasing with the slope increasing when the slope is larger than 40°, as calculated using the Taylor slope infinite model. The intensity–duration (I–D) prediction curve of the rainfall-induced shallow loess landslides with different slopes was constructed and can be used in forecasting regional shallow loess landslides.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
Nat. Hazards Earth Syst. Sci., 24, 2359–2374, https://doi.org/10.5194/nhess-24-2359-2024, https://doi.org/10.5194/nhess-24-2359-2024, 2024
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Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 h) needed for decision-making. This work takes an initial step toward a near-real-time postfire debris-flow inundation hazard assessment product.
Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin K. Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
Nat. Hazards Earth Syst. Sci., 24, 2093–2114, https://doi.org/10.5194/nhess-24-2093-2024, https://doi.org/10.5194/nhess-24-2093-2024, 2024
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Every year the U.S. Geological Survey produces 50–100 postfire debris-flow hazard assessments using models for debris-flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris-flow response, and debris-flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a 2-year period. We also proposed ways to improve these models.
Jui-Ming Chang, Che-Ming Yang, Wei-An Chao, Chin-Shang Ku, Ming-Wan Huang, Tung-Chou Hsieh, and Chi-Yao Hung
EGUsphere, https://doi.org/10.5194/egusphere-2024-1267, https://doi.org/10.5194/egusphere-2024-1267, 2024
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The study on the Cilan Landslide (CL) demonstrates the utilization of seismic analysis results as preliminary data for geologists during field surveys. Spectrograms revealed that the 1st event of CL consisted of 4 sliding failures, accompanied by a gradual reduction in landslide volume. The 2nd and 3rd events were minor topplings and rockfalls. Then combining the seismological-based knowledge and field survey results, the temporal-spatial variation of landslide evolution is proposed.
Jui-Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, and Kuo-Lung Wang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-86, https://doi.org/10.5194/nhess-2024-86, 2024
Revised manuscript accepted for NHESS
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This study enhances landslide prediction using advanced machine learning, including new algorithms inspired by historical explorations. The research accurately forecasts landslide movements by analyzing eight years of data from Taiwan's Lushan Mountain, improving early warnings and potentially saving lives and infrastructure. This integration marks a significant advancement in environmental risk management.
Praveen Kumar, Priyanka Priyanka, Kala Venkata Uday, and Varun Dutt
Nat. Hazards Earth Syst. Sci., 24, 1913–1928, https://doi.org/10.5194/nhess-24-1913-2024, https://doi.org/10.5194/nhess-24-1913-2024, 2024
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Our study focuses on predicting soil movement to mitigate landslide risks. We develop machine learning models with oversampling techniques to address the class imbalance in monitoring data. The dynamic ensemble model with K-means SMOTE (synthetic minority oversampling technique) achieves high precision, high recall, and a high F1 score. Our findings highlight the potential of these models with oversampling techniques to improve soil movement predictions in landslide-prone areas.
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci., 24, 1897–1911, https://doi.org/10.5194/nhess-24-1897-2024, https://doi.org/10.5194/nhess-24-1897-2024, 2024
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In our study, we analysed publicly available data in order to investigate the impact of climate change on landslides in Denmark. Our research indicates that the rising groundwater table due to climate change will result in an increase in landslide activity. Previous incidents of extremely wet winters have caused damage to infrastructure and buildings due to landslides. This study is the first of its kind to exclusively rely on public data and examine landslides in Denmark.
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, Christine Moos, Arie C. Seijmonsbergen, and E. Emiel van Loon
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-76, https://doi.org/10.5194/nhess-2024-76, 2024
Revised manuscript accepted for NHESS
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We developed a machine learning-based approach to predict the potential thickness of shallow landslides to generate improved inputs for slope stability models. We selected 21 explanatory variables including metrics on terrain, geomorphology, vegetation height, and lithology and used data from two Swiss field inventories to calibrate and test the models. The best performing machine learning model consistently reduced the mean average error by least 17 % compared to previously existing models.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci., 24, 1741–1756, https://doi.org/10.5194/nhess-24-1741-2024, https://doi.org/10.5194/nhess-24-1741-2024, 2024
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With a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, a global analysis method that considers both seepage and seismic forces is proposed to determine the safety factor of slopes subjected to the combined effect of rainfall and earthquakes. By taking a slope in the Three Gorges Reservoir area as an example, the safety evolution of the slope combined with both rainfall and earthquake is also examined.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024, https://doi.org/10.5194/nhess-24-1697-2024, 2024
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Central Asia regions are marked by active tectonics, high mountains with glaciers, and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of possible damming scenarios, which endanger the population. To prevent this, a semi-automated geographic information system (GIS-)based mapping method, centered on a bivariate correlation of morphometric parameters, was applied to give preliminary information on damming susceptibility in Central Asia.
Benjamin B. Mirus, Thom A. Bogaard, Roberto Greco, and Manfred Stähli
EGUsphere, https://doi.org/10.5194/egusphere-2024-1219, https://doi.org/10.5194/egusphere-2024-1219, 2024
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Early warning of increased landslide potential provides situational awareness to reduce landslide-related losses from major storm events. For decades, landslide forecasts relied on rainfall data alone, but recent research points to the value of hydrologic information for improving predictions. In this article, we provide our perspectives on the value and limitations of integrating subsurface hillslope hydrologic monitoring data and mathematical modeling for more accurate landslide forecasts.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci., 24, 1579–1605, https://doi.org/10.5194/nhess-24-1579-2024, https://doi.org/10.5194/nhess-24-1579-2024, 2024
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We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 % and 90 %, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024, https://doi.org/10.5194/nhess-24-1459-2024, 2024
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Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024, https://doi.org/10.5194/nhess-24-1357-2024, 2024
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Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a <2-year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024, https://doi.org/10.5194/nhess-24-1287-2024, 2024
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Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Jonathan P. Perkins, Nina S. Oakley, Brian D. Collins, Skye C. Corbett, and W. Paul Burgess
EGUsphere, https://doi.org/10.5194/egusphere-2024-873, https://doi.org/10.5194/egusphere-2024-873, 2024
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Landslides are a global issue that results in deaths and economic losses annually. However, it is not clear how storm severity relates to landslide severity across large regions. Here we develop a method to estimate the footprint of landslide area and compare this to meteorologic estimates of storm severity. We find that total storm strength does not clearly relate to landslide area. Rather, landslide area depends on soil wetness and smaller storm structures that can produce intense rainfall.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024, https://doi.org/10.5194/nhess-24-1035-2024, 2024
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We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024, https://doi.org/10.5194/nhess-24-891-2024, 2024
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We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide and found that the contact surface model with high strength parameters combines advantages of the intact rock mass model in simulating the deformation of slopes with rock bridges and the modeling advantage of the Jennings model. The results help in choosing a rock bridge model to simulate landslide stability and reveal the influence laws of rock bridges on the stability of landslides.
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
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We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649, https://doi.org/10.5194/nhess-24-631-2024, https://doi.org/10.5194/nhess-24-631-2024, 2024
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We performed field investigations on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was obtained from an unmanned aerial vehicle survey. A finite element model was created to reproduce the damage evolution. We found that the impact kinetic energy was below the design protection energy. Improper member connections prevent the barrier from producing significant deformation to absorb energy. Damage is avoided by improving the ability of the nets and ropes to slide.
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, and Snježana Mihalić Arbanas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-29, https://doi.org/10.5194/nhess-2024-29, 2024
Revised manuscript accepted for NHESS
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The paper focuses on classifying continuous landslide conditioning factors for susceptibility modelling, which resulted in 54 landslide susceptibility models that tested 11 classification criteria in combination with five statistical methods. The novelty of the research is that using stretched landslide conditioning factor values results in models with higher accuracy and that certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others.
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
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Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
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Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
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The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Di Wu, Yuke Wang, and Xin Chen
EGUsphere, https://doi.org/10.5194/egusphere-2023-2318, https://doi.org/10.5194/egusphere-2023-2318, 2023
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This paper proposed 3D limit analysis for seismic stability of soil slopes to address the influence of earthquake on slope stabilities with nonlinear and linear criteria. Comparison results illustrated that the use of linear envelope leads to the non-negligible overestimation of steep slope stability and this overestimation will be significant with the increasing earthquake. Earthquake has a smaller influence on slope slip surface with nonlinear envelope than that with linear envelope.
Mark Bloomberg, Tim Davies, Elena Moltchanova, Tom Robinson, and David Palmer
EGUsphere, https://doi.org/10.5194/egusphere-2023-2695, https://doi.org/10.5194/egusphere-2023-2695, 2023
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Debris flows occur infrequently, with average recurrence intervals (ARIs) ranging from decades to millennia. Consequently, they pose an underappreciated hazard. We describe how to make a preliminary identification of debris flow-susceptible catchments, estimate threshold ARIs for debris flows which pose an unacceptable risk to life, and identify the "window of non-recognition" where debris flows are infrequent enough that their hazard is unrecognised, yet frequent enough to pose a risk to life.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
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A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354, https://doi.org/10.5194/nhess-23-3337-2023, https://doi.org/10.5194/nhess-23-3337-2023, 2023
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Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
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The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
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Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
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Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
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We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
Simon Seelig, Thomas Wagner, Karl Krainer, Michael Avian, Marc Olefs, Klaus Haslinger, and Gerfried Winkler
Nat. Hazards Earth Syst. Sci., 23, 2547–2568, https://doi.org/10.5194/nhess-23-2547-2023, https://doi.org/10.5194/nhess-23-2547-2023, 2023
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A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Camilla Lanfranconi, Paolo Frattini, Gianluca Sala, Giuseppe Dattola, Davide Bertolo, Juanjuan Sun, and Giovanni Battista Crosta
Nat. Hazards Earth Syst. Sci., 23, 2349–2363, https://doi.org/10.5194/nhess-23-2349-2023, https://doi.org/10.5194/nhess-23-2349-2023, 2023
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This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 23, 2229–2250, https://doi.org/10.5194/nhess-23-2229-2023, https://doi.org/10.5194/nhess-23-2229-2023, 2023
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This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
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Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787, https://doi.org/10.5194/nhess-23-1769-2023, https://doi.org/10.5194/nhess-23-1769-2023, 2023
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In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci., 23, 1631–1652, https://doi.org/10.5194/nhess-23-1631-2023, https://doi.org/10.5194/nhess-23-1631-2023, 2023
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Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023, https://doi.org/10.5194/nhess-23-1483-2023, 2023
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We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Cited articles
Agioutantis, Z., Kaklis, K., Mavrigiannakis, S., Verigakis, M., Vallianatos,
F., and Saltas, V.: Potential of acoustic emissions from three point bending
tests as rock failure precursors, International Journal of Mining Science
and Technology, 26, 155–160, https://doi.org/10.1016/j.ijmst.2015.11.024,
2016.
Behm, M.: Feasibility of borehole ambient noise interferometry for permanent
reservoir monitoring, Geophys. Prospect., 65, 563–580,
https://doi.org/10.1111/1365-2478.12424, 2016.
Chao, W.-A., Wu, Y.-M, Zhao, L., Chen, H., Chen, Y.-G., Chang, J.-M., and
Lin, C.-M.: A first near real-time seismology-based landquake monitoring
system, Sci. Rep. UK, 7, 43510, https://doi.org/10.1038/srep43510, 2017.
Chen, C.-H., Chao, W.-A., Wu, Y.-M., Zhao, L., Chen, Y.-G., Ho, W.-Y., Lin,
T.-L., Kuo K.-H., and Zhang, R.-M.: A Seismological Study of Landquakes
Using a Real-Time Broadband Seismic Network, Geophys. J. Int., 194, 885–898,
https://doi.org/10.1093/gji/ggt121, 2013.
Cheng, G., Wang, X., He, X., Fan, J., and Fan, J.: Outburst Risk of Barrier
Lakes in Sichuan, China, J. Mt. Sci., 5, 189–193,
https://doi.org/10.1007/s11629-008-0208-7, 2008.
Chinese Government: China's Actions for Disaster Prevention and
Reduction, available at:
http://english1.english.gov.cn/official/2009-05/11/content_1310629.htm (last access: 25 January 2018),
2009.
Crosetto, M., Monserrat, O., Luzi, G., Cuevas-Gonzáles, M., and
Devanthéry, N.: Discontinuous GBSAR deformation monitoring, ISPRS
J. Photogramm., 93, 136–141, https://doi.org/10.1016/j.isprsjprs.2014.04.002, 2014.
Daskalakis, E., Evangelidis, C. P., Garnier, J., Melis, N. S., Papanicolau,
G., and Tsogka, C.: Robust seismic velocity change estimation using ambient
noise recordings, Geophys. J. Int., 205, 1926–1936, https://doi.org/10.1093/gji/ggw142, 2016.
Del Gaudio, V.: Instantaneous polarization analysis of ambient noise
recordings in site response investigations, Geophys. J.
Int., 210, 443–464, https://doi.org/10.1093/gji/ggx175, 2017.
Di Giulio, G., Cara, F., Rovelli, A., Lombardo, G., and Rigano, R.:
Evidences for strong directional resonances in intensely deformed zones of
the Pernicana fault, Mount Etna, Italy, J. Geophys. Res.-Atmos., 114, B10308, https://doi.org/10.1029/2009JB006393, 2009.
Fan, X. and Huang, R.: The Landslide Story, Nat. Geosci., 6,
325–326, https://doi.org/10.1038/ngeo1806, 2013.
Fan, X., Xu, Q., Scaringi, G., Dai, L., Li, W., Dong, X., Zhu, X., Pei, X.,
Dai, K., and Havenith, H.-B.: Failure mechanism and kinematics of the deadly
June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China, Landslides, 14,
2129–2146,
https://doi.org/10.1007/s10346-017-0907-7,
2017.
Hovius, N., Meunier, P., Ching-Weei, L., Hongey, C., Yue-Gau, C., Dadson,
S., Ming-Jame, H., and Lines, M.: Prolonged seismically induced erosion and
the mass balance of a large earthquake, Earth Planet. Sc. Lett.,
304, 347–355, https://doi.org/10.1016/j.epsl.2011.02.005, 2011.
Huang, R.: Some catastrophic landslides since the twentieth century in the
southwest of China, Landslides, 6, 69–81, https://doi.org/10.1007/s10346-009-0142-y, 2009.
Lin, C. H.: Insight into landslide kinematics from a broadband seismic
network, Earth Planets Space 67, 8, https://doi.org/10.1186/s40623-014-0177-8,
2015.
Lin, C. H., Jan, J. C., Pu, H. C., Tu, Y., Chen, C. C., and Wu, Y. M.: Landslide
seismic magnitude, Earth Planet. Sc. Lett., 429,
122–127, https://doi.org/10.1016/j.epsl.2015.07.068, 2015.
Lin, C. H., Kumagai, H., Ando, M., and Shin, T. C.: Detection of landslides and
submarine slumps using broadband seismic networks, Geophys. Res.
Lett., 37, L22309, https://doi.org/10.1029/2010GL044685, 2010.
Lin, C.-W., Liu, S.-H., Lee, S.-Y., and Liu, C.-C.: Impacts of the Chi-Chi
earthquake on subsequent rainfall-induced landslides in central Taiwan,
Eng. Geol., 86, 87–101, https://doi.org/10.1016/j.enggeo.2006.02.010, 2006.
Manthei, G. and Eisenblätter, J.: Acoustic Emission in Study of Rock
Stability, in: Acoustic Emission Testing, edited by: Grosse, C. and Ohtsu,
M., Springer, Berlin, Heidelberg, 239–310, https://doi.org/10.1007/978-3-540-69972-9_11, 2008.
Molinari, M. E., Cannata, M., and Meisina, C.: r.massmov: an open-source
landslide model for dynamic early warning systems, Nat. Hazards, 70,
1153–1179, https://doi.org/10.1007/s11069-013-0867-8, 2014.
Monserrat, O., Crosetto, M., and Luzi, G.: A review of ground-based SAR
interferometry for deformation measurement, ISPRS J. Photogramm., 93, 40–48, https://doi.org/10.1016/j.isprsjprs.2014.04.001, 2014.
Nomikos, P. P., Katsikogianni, P., Sakkas, K. M., and Sofianos, A. I.: Acoustic
emission during flexural loading of two Greek marbles, in: Rock mechanics in civil and environmental
engineering, edited by: Zhao J., Labiouse V., Dudt J.-P., and Mathier J.-F.,
Proc. ISRM International Symposium – EUROCK 2010, 15–18 June, Lausanne,
Switzerland,
CRC press, ISBN 9780415586542, 95–98, 2010.
Okamoto, T., Sakurai, M., Tsuchiya, S., Yoshimatsu, H., Ogawa, K., and Wang,
G.: Secondary hazard associated with coseismic landslides, in: Earthquake-Induced Landslides,
edited by: Ugai K., Yagi H., and Wakai A., Springer, 77–82, https://doi.org/10.1007/978-3-642-32238-9_8, 2012.
Parker, R. N., Densmore, A. L., Rosser, N. J., De Michele, M., Li, Y.,
Huang, R., Whadcoat, S., and Petley, D. N.: Mass wasting triggered by the
2008Wenchuan earthquake is greater than orogenic growth, Nat. Geosci.,
4, 449–452, https://doi.org/10.1038/ngeo1154, 2011.
Parker, R. N., Hancox, G. T., Petley, D. N., Massey, C. I., Densmore, A. L., and Rosser, N. J.: Spatial distributions of earthquake-induced landslides and hillslope preconditioning in the northwest South Island,
New Zealand, Earth Surf. Dynam., 3, 501–525, https://doi.org/10.5194/esurf-3-501-2015, 2015.
Petley, D. N.: Global patterns of loss of life from landslides, Geology,
40, 927–930, https://doi.org/10.1130/G33217.1, 2012.
Qiu, J.: Listening for landslides, Nature, 532, 428–431, https://doi.org/10.1038/532428a, 2016.
Scaringi, G., Fan, X., Xu, Q., Liu, C., Ouyang, C., Domènech, G., Yang,
F., and Dai, L.: Some considerations on numerical methods to simulate past
landslides and possible new failures: the case of the recent Xinmo landslide
(Sichuan, China), Landslides, accepted, 2017.
Towhata, I.: Long-term effects of earthquake-induced slope
failures,
Proceedings of the 7th International Conference on Case Histories in
Geotechnical Engineering, Chicago 10, available at: http://scholarsmine.mst.edu/icchge/7icchge/session16/10 (last access: 25 January 2018),
2013.
Wei, X., Chen, N., Cheng, Q., He, N., Deng, M., and Tanoli, J. I.: Long-term
Activity of Earthquake-induced Landslides: A Case Study from Qionghai Lake
basin, Southwest of China, J. Mt. Sci., 11, 607–624, https://doi.org/10.1007/s11629-013-2970-4, 2014.
Yamada, M., Matsushi, Y., Chigira, M., and Mori, J.: Seismic recordings of
landslides caused by Typhoon Talas (2011), Japan, Geophys. Res.
Lett., 39, L13301, https://doi.org/10.1029/2012GL052174, 2012.
Yamada, M., Kumagai, H., Matsushi, Y., and Matsuzawa, T.: Dynamic landslide
processes revealed by broadband seismic records, Geophys. Res.
Lett., 40, 2998–3002, https://doi.org/10.1002/grl.50437, 2013.
Yin, Y., Cheng, Y., Liang, J., and Wang, W.: Heavy-rainfall-induced
catastrophic rockslide-debris flow at Sanxicun, Dujiangyan, after the
Wenchuan Ms 8.0 earthquake, Landslides, 13, 9–23, https://doi.org/10.1007/s10346-015-0554-9, 2016.
Zhang, S., Zhang, L., Lacasse, S., and Nadim, F.: Evolution of mass
movements near epicenter of Wenchuan earthquake, the first eight years,
Sci. Rep. Uk, 6, 36154, https://doi.org/10.1038/srep36154, 2016.
Short summary
The long-term effect of strong earthquakes on geological hazards in mountainous areas is an underestimated issue, but the integrated use of field monitoring, remote sensing, and real-time predictive modelling can help to set up effective early warning systems, provide timely alarms, optimize rescue operations, and perform more accurate secondary hazard assessments. With this paper we wish to stimulate an open discussion on post-seismic slope stability and its implications for policy makers.
The long-term effect of strong earthquakes on geological hazards in mountainous areas is an...
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