Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3361-2022
© Author(s) 2022. 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-22-3361-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Oct 2022
Research article |
| 18 Oct 2022
| 18 Oct 2022
Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences
Hans-Balder Havenith
CORRESPONDING AUTHOR
Georisk and Environment, Department of Geology, University of Liège, Liège, 4000, Belgium
Kelly Guerrier
URGéo, LMI-CARIBACT, Faculté des Sciences, Université d'Etat d'Haïti, Port-au-Prince, Haiti
Romy Schlögel
Georisk and Environment, Department of Geology, University of Liège, Liège, 4000, Belgium
Centre Spatial de Liège, Liège, 4000, Belgium
Anika Braun
Department of Engineering Geology, Faculty VI – Planning Building Environment, TU Berlin, Berlin, 1587, Germany
Sophia Ulysse
URGéo, LMI-CARIBACT, Faculté des Sciences, Université d'Etat d'Haïti, Port-au-Prince, Haiti
Unité Technique de Sismologie, Bureau des Mines et de l'Energie, Port-au-Prince, Delmas 31, Haiti
Anne-Sophie Mreyen
Applied Geophysics, Department of Urban and Environmental Engineering, University of Liège, Liège, 4000, Belgium
Karl-Henry Victor
URGéo, LMI-CARIBACT, Faculté des Sciences, Université d'Etat d'Haïti, Port-au-Prince, Haiti
Newdeskarl Saint-Fleur
URGéo, LMI-CARIBACT, Faculté des Sciences, Université d'Etat d'Haïti, Port-au-Prince, Haiti
Léna Cauchie
Georisk and Environment, Department of Geology, University of Liège, Liège, 4000, Belgium
Dominique Boisson
URGéo, LMI-CARIBACT, Faculté des Sciences, Université d'Etat d'Haïti, Port-au-Prince, Haiti
Claude Prépetit
Unité Technique de Sismologie, Bureau des Mines et de l'Energie, Port-au-Prince, Delmas 31, Haiti
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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.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anne-Sophie Mreyen, Sophia Ulysse, Anika Braun, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-83, https://doi.org/10.5194/nhess-2022-83, 2022
Preprint withdrawn
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First analyses of landslide distribution and triggering factors are presented for the region affected by the Mw = 7.2 earthquake, 2021, in Haiti. The landslide inventory created for the 2021 event is compared with catalogues compiled by others both for the 2021 and 2010 events. Related analyses show that the larger total area of landslides triggered in 2021, can be explained, e.g., by (a) the stronger shaking intensity in 2021, (b) a climatic influence on slope stability in the 2021-affected area.
Vipin Kumar, Léna Cauchie, Anne-Sophie Mreyen, Mihai Micu, and Hans-Balder Havenith
Nat. Hazards Earth Syst. Sci., 21, 3767–3788, https://doi.org/10.5194/nhess-21-3767-2021, https://doi.org/10.5194/nhess-21-3767-2021, 2021
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The SE Carpathians belong to one of the most active seismic regions of Europe. In recent decades, extreme rainfall events have also been common. These natural processes result in frequent landslides, particularly of a debris flow type. Despite such regimes, the region has been little explored to understand the response of the landslides in seismic and rainfall conditions. This study attempts to fill this gap by evaluating landslide responses under seismic and extreme-rainfall regimes.
Léonidas Nibigira, Hans-Balder Havenith, Pierre Archambeau, and Benjamin Dewals
Nat. Hazards Earth Syst. Sci., 18, 1867–1890, https://doi.org/10.5194/nhess-18-1867-2018, https://doi.org/10.5194/nhess-18-1867-2018, 2018
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Flood prediction methods are often based solely on climatic parameters and sometimes on the failure of existing dams. This paper shows the importance of multi-hazard studies, including potential natural dam formation to avoid risk underestimation. We present an end-to-end analysis, ranging from the origin of the landslide up to the computation of flood waves induced by the dam breaching. The paper is based on a case study of Bujumbura in the East African Rift Valley, a multi-hazard environment.
A. M. Syavulisembo, H.-B. Havenith, B. Smets, N. d'Oreye, and J. Marti
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The Virunga area in the Democratic Republic of the Congo, with over 1 million inhabitants, has to permanently cope with the threat posed by the active Nyamulagira and Nyiragongo volcanoes. During the past century, Nyamulagira erupted at intervals of about every 3 years – mostly in the form of lava flows – at least 30 times. In order to identify a useful tool for hazard assessment at the Goma Volcanological Observatory, we tested VORIS, a freely available software (www.gvb-csic.es).
Carlo Destouches, Arona Diedhiou, Sandrine Anquetin, Benoit Hingray, Armand Pierre, Dominique Boisson, and Adermus Joseph
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2024-15, https://doi.org/10.5194/esd-2024-15, 2024
Preprint under review for ESD
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This work provides a relevant analysis of changes in extreme precipitation over the Caribbean and their link with warming in different ocean basins. It also improves our understanding of the impact of warming on extreme precipitation events, which can cause devastating damage to economic sectors such as agriculture, biodiversity, health, and energy.
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.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anne-Sophie Mreyen, Sophia Ulysse, Anika Braun, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-83, https://doi.org/10.5194/nhess-2022-83, 2022
Preprint withdrawn
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First analyses of landslide distribution and triggering factors are presented for the region affected by the Mw = 7.2 earthquake, 2021, in Haiti. The landslide inventory created for the 2021 event is compared with catalogues compiled by others both for the 2021 and 2010 events. Related analyses show that the larger total area of landslides triggered in 2021, can be explained, e.g., by (a) the stronger shaking intensity in 2021, (b) a climatic influence on slope stability in the 2021-affected area.
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Nat. Hazards Earth Syst. Sci., 21, 3767–3788, https://doi.org/10.5194/nhess-21-3767-2021, https://doi.org/10.5194/nhess-21-3767-2021, 2021
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The SE Carpathians belong to one of the most active seismic regions of Europe. In recent decades, extreme rainfall events have also been common. These natural processes result in frequent landslides, particularly of a debris flow type. Despite such regimes, the region has been little explored to understand the response of the landslides in seismic and rainfall conditions. This study attempts to fill this gap by evaluating landslide responses under seismic and extreme-rainfall regimes.
Chastity Aiken, Richard Wessels, Marie-Hélène Cormier, Frauke Klingelhoefer, Anne Battani, Frédérique Rolandone, Walter Roest, Dominique Boisson, Kelly Guerrier, Roberte Momplaisir, and Nadine Ellouz-Zimmerman
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The Haiti-Drill workshop, held in May 2019, further developed an amphibious drilling project in Haiti. During the workshop, we identified research questions, discussed drilling scenarios, identified data and analyses needed, and produced timelines for the work. We aim to understand the nature of fault zones and the evolution of transpressional plate boundaries. Given this aim, drilling targets were then rationalized, creating a focus point for research and survey needs prior to drilling.
Léonidas Nibigira, Hans-Balder Havenith, Pierre Archambeau, and Benjamin Dewals
Nat. Hazards Earth Syst. Sci., 18, 1867–1890, https://doi.org/10.5194/nhess-18-1867-2018, https://doi.org/10.5194/nhess-18-1867-2018, 2018
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Flood prediction methods are often based solely on climatic parameters and sometimes on the failure of existing dams. This paper shows the importance of multi-hazard studies, including potential natural dam formation to avoid risk underestimation. We present an end-to-end analysis, ranging from the origin of the landslide up to the computation of flood waves induced by the dam breaching. The paper is based on a case study of Bujumbura in the East African Rift Valley, a multi-hazard environment.
A. M. Syavulisembo, H.-B. Havenith, B. Smets, N. d'Oreye, and J. Marti
Nat. Hazards Earth Syst. Sci., 15, 2391–2400, https://doi.org/10.5194/nhess-15-2391-2015, https://doi.org/10.5194/nhess-15-2391-2015, 2015
Short summary
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The Virunga area in the Democratic Republic of the Congo, with over 1 million inhabitants, has to permanently cope with the threat posed by the active Nyamulagira and Nyiragongo volcanoes. During the past century, Nyamulagira erupted at intervals of about every 3 years – mostly in the form of lava flows – at least 30 times. In order to identify a useful tool for hazard assessment at the Goma Volcanological Observatory, we tested VORIS, a freely available software (www.gvb-csic.es).
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Evaluation of debris-flow building damage forecasts
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
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Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
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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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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.
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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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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.
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.
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.
Fabiola Banfi, Emanuele Bevacqua, Pauline Rivoire, Sérgio C. Oliveira, Joaquim G. Pinto, Alexandre M. Ramos, and Carlo De Michele
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-212, https://doi.org/10.5194/nhess-2023-212, 2023
Revised manuscript accepted for NHESS
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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.
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.
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 Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2063, https://doi.org/10.5194/egusphere-2023-2063, 2023
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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 two year period. We also proposed ways to improve these models.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
EGUsphere, https://doi.org/10.5194/egusphere-2023-1931, https://doi.org/10.5194/egusphere-2023-1931, 2023
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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 hours) needed for decision-making. This work takes an initial step towards an operational postfire debris-flow inundation hazard assessment product.
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.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit Kumar Punia
Nat. Hazards Earth Syst. Sci., 23, 1425–1431, https://doi.org/10.5194/nhess-23-1425-2023, https://doi.org/10.5194/nhess-23-1425-2023, 2023
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The NW Himalaya has been one of the most affected terrains of the Himalaya, subject to disastrous landslides. This article focuses on two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. We used a slope stability simulation to determine the response of the hillslopes accommodating these towns under various loading conditions. We found that the maximum displacement in these hillslopes might reach up to 20–25 m.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
Nat. Hazards Earth Syst. Sci., 23, 1257–1266, https://doi.org/10.5194/nhess-23-1257-2023, https://doi.org/10.5194/nhess-23-1257-2023, 2023
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Tree destruction is often used to back calculate the air blast impact region and to estimate the air blast power. Here we established a novel model to assess air blast power using tree destruction information. We find that the dynamic magnification effect makes the trees easier to damage by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
Nat. Hazards Earth Syst. Sci., 23, 1241–1256, https://doi.org/10.5194/nhess-23-1241-2023, https://doi.org/10.5194/nhess-23-1241-2023, 2023
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Debris flows are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height, is difficult. We present a protocol to analyse debris flow data and results of the Réal torrent in France. These results will help experts in designing models.
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206, https://doi.org/10.5194/nhess-23-1191-2023, https://doi.org/10.5194/nhess-23-1191-2023, 2023
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This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190, https://doi.org/10.5194/nhess-23-1177-2023, https://doi.org/10.5194/nhess-23-1177-2023, 2023
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Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
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The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 23, 1095–1115, https://doi.org/10.5194/nhess-23-1095-2023, https://doi.org/10.5194/nhess-23-1095-2023, 2023
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We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889, https://doi.org/10.5194/nhess-23-871-2023, https://doi.org/10.5194/nhess-23-871-2023, 2023
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A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
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This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
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In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
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On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
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In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992, https://doi.org/10.5194/nhess-22-3973-2022, https://doi.org/10.5194/nhess-22-3973-2022, 2022
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Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Cited articles
Acker, G. and Leptoukh, G.: Online Analysis Enhances Use of NASA Earth Science Data, Eos T. Am. Geophys. Un., 88, 14–17, 2007.
Ali, S. T., Freed, A. M., Calais, E., Manaker, D. M., and McCann, W. R.: Coulomb stress evolution in Northeastern Caribbean over the past 250 years due to coseismic, postseismic and interseismic deformation, Geophys. J. Int., 174, 904–918, https://doi.org/10.1111/j.1365-246X.2008.03634.x, 2008.
Amatya, P., Kirschbaum, D., Stanley, T., and Tanyas, H.: Landslide mapping using object-based image analysis and open source tools, Eng. Geol., 282, 106000, https://doi.org/10.1016/j.enggeo.2021.106000, 2021.
Arias, A.: A measure of earthquake intensity, in: Seismic design for Nuclear Powerplants, edited by: Hansen, R. J., MIT Press, Cambridge, Massachusetts, 438–483, ISBN 978-0262080415, 1970.
Bakun, W. H., Flores, C. H., and ten Brink, U. S.: Significant Earthquakes on the Enriquillo Fault System, Hispaniola, 1500–2010: Implications for Seismic Hazard, B. Seismol. Soc. Am., 102, 18–30, https://doi.org/10.1785/0120110077, 2012.
Calais, E., Freed, A., Mattioli, G., Amelung, F., Jónsson, S., Jansma, P., Hong, S. H., Dixon, T., Prépetit, C., and Momplaisir, R.: Transpressional rupture of an unmapped fault during the 2010 Haiti earthquake, Nat. Geosci., 3, 794–799, https://doi.org/10.1038/ngeo992, 2010.
Calais, E., Symithe, S., Monfret, T., Delouis, B., Lomax, A., Courboulex, F., Ampuero, J. P., Lara, P. E., Bletery, Q., Chèze, J., Peix, F., Deschamps, A., de Lépinay, B., Raimbault, B., Jolivet, R., Paul, S., St. Fleur, S., Boisson, D., Fukushima, Y., Duputel, Z., Xu, L., and Meng, L.: Citizen seismology helps decipher the 2021 Haiti earthquake, Science, 376, 283–287, https://doi.org/10.1126/science.abn1045, 2022.
DeMets, C., Jansma, P. E., Mattioli, G. S., Dixon, T. H., Farina, F., Bilham, R., Calais, E., and Mann, P.: GPS geodetic constraints on Caribbean-North America plate motion, Geophys. Res. Lett., 27, 437–440, https://doi.org/10.1029/1999GL005436, 2000.
Fan, X., Juang, C. H., Wasowski, J., Huang, R., Xu, Q., Scaringi, G., van Westen, C. J., and Havenith, H. B.: What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges, Eng. Geol., 241, 25–32, https://doi.org/10.1016/j.enggeo.2018.05.004, 2018.
Frankel, A., Harmsen, S., Mueller, C., Calais, E., and Haase, J.: Seismic hazard maps for Haiti, Earthq. Spectra, 27, 23–41, https://doi.org/10.1193/1.3631016, 2011.
Fritz, H. M., Hillaire, J. V., Molière, E., Wei, Y., and Mohammed, F.: Twin tsunamis triggered by the 12 January 2010 Haiti earthquake, Pure Appl. Geophys., 170, 1463–1474, https://doi.org/10.1007/S00024-012-0479-3, 2013.
Gischig, V., Eberhardt, E., Moore, J., and Hungr, O.: On the seismic response of deep-seated rock slope instabilities – insights from numerical modeling, Eng. Geol., 193, 1–18, https://doi.org/10.1016/j.enggeo.2015.04.003, 2015.
Gorum, T., Fan, X., van Westen, C. J., Huang, R., Xu, Q., Tang, C., and Wang, G.: Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake, Geomorphology, 133, 152–167, https://doi.org/10.1016/j.geomorph.2010.12.030, 2011.
Gorum, T., van Westen, C. J., Korup, O., van der Meijde, M., Fan, X., and van der Meer, F. D.: Complex rupture mechanism and topography control symmetry of mass – wasting pattern, 2010 Haiti earthquake, Geomorphology, 184, 127–138, https://doi.org/10.1016/j.geomorph.2012.11.027, 2013.
Harp, E. L. and Wilson, R. C.: Shaking intensity thresholds for rock falls and slides: evidence from 1987 Whittier Narrows and Superstition Hills earthquake strong-motion records, B. Seismol. Soc. Am., 85, 1739–1757, 1995.
Harp, E. L., Jibson, R. W., and Schmitt, R. G.: Map of landslides triggered by the January 12, 2010, Haiti earthquake: U. S. Geological Survey Scientific Investigations Map 3353, 15 p., 1 sheet, scale 1:150 000, https://doi.org/10.3133/sim3353, 2016.
Havenith, H. B., Strom, A., Torgoev, I., Torgoev, A., Lamair, L., Ischuk, A., and Abdrakhmatov, K.: Tien Shan Geohazards Database: Earthquakes and Landslides, Geomorphology, 249, 16–31, https://doi.org/10.1016/j.geomorph.2015.01.037, 2015.
Havenith, H. B., Torgoev, A., Braun, A., Schlögel, R., and Micu, M.: A new classification of earthquake-induced landslide event sizes based on seismotectonic, topographic, climatic and geologic factors, Geoenvir. Disasters, 3, 2–24, https://doi.org/10.1186/s40677-016-0041-1, 2016.
Hedges, S. B., Cohen, W. B., Timyan, J., and Yang, Z.: Haiti's biodiversity threatened by nearly complete loss of primary forest, P. Natl. Acad. Sci. USA, 115, 11850–11855, https://doi.org/10.1073/pnas.1809753115, 2018.
Kargel, J., Leonard, G., Shugar, D., Haritashya, U., Bevington, A., Fielding, E., Fujita, K., Geertsema, M., Miles, E., Steiner, J., Anderson, E., Bajracharya, S., Bawden, G., Breashears, D., Byers, A., Collins, B., Dhital, M., Donnellan, A., Evans, T., Geai, M., Glasscoe, M., Green, D., Gurung, D., Heijenk, R., Hilborn, A., Hudnut, K., Huyck, C., Immerzeel, W., Liming, J., Jibson, R., Kääb, A., Khanal, N., Kirschbaum, D., Kraaijenbrink, P., Lamsal, D., Shiyin, L., Mingyang, L., McKinney, D., Nahirnick, N., Zhuotong, N., Ojha, S., Olsenholler, J., Painter, T., Pleasants, M., Pratima, K., Yuan, Q., Raup, B., Regmi, D., Rounce, D., Sakai, A., Donghui, S., Shea, J., Shrestha, A., Shukla, A., Stumm, D., van der Kooij, M., Voss, K., Xin, W., Weihs, B., Wolfe, D., Lizong, W., Xiaojun, Y., Yoder, M., and Young, N.: Geomorphic and geologic controls of geohazards induced by Nepal's 2015 Gorkha earthquake, Science, 351, aac8353, https://doi.org/10.1126/science.aac8353, 2016.
Keefer, D. K. and Wilson, R. C.: Predicting earthquake-induced landslides, with emphasis on arid and semi-arid environments, in: Landslides in a Semi-arid environment, edited by: Sadler, P. M. and Morton, D. M., Inland Geological Society, 2, 118–149, 1989.
Lacroix, P.: Landslides triggered by the Gorkha earthquake in the Langtang valley, volumes and initiation processes, Earth Planets Space, 68, 46, https://doi.org/10.1186/s40623-016-0423-3, 2016.
Lemaire, E., Mreyen, A.-S., Dufresne, A., and Havenith, H.-B.: Analysis of the influence of structural geology on the massive seismic slope failure potential supported by numerical modelling, Geosciences, 10, 323, https://doi.org/10.3390/geosciences10080323, 2020.
Malamud, B. D., Turcotte, D. L., Guzzetti, F., and Reichenbach, P.: Landslide inventories and their statistical properties, Earth Surf. Proc. Land., 29, 687–711, https://doi.org/10.1002/esp.1064, 2004.
Marc, O., Meunier, P., and Hovius, N.: Prediction of the area affected by earthquake-induced landsliding based on seismological parameters, Nat. Hazards Earth Syst. Sci., 17, 1159–1175, https://doi.org/10.5194/nhess-17-1159-2017, 2017.
Martinez, S. N., Allstadt, K. E., Slaughter, S. L., Schmitt, R., Collins, E., Schaefer, L. N., and Ellison, S.: Landslides triggered by the August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake, U. S. Geological Survey Open-File Report 2021–1112, 17 p., https://doi.org/10.3133/ofr20211112, 2021.
Okuwaki, R. and Fan, W.: Oblique convergence causes both thrust and strike-slip ruptures during the 2021 M 7.2 Haiti earthquake, Geophys. Res. Lett., 49, e2021GL096373, https://doi.org/10.1029/2021GL096373, 2022.
Olson, S., Green, R., Lasley, S., Martin, N., Cox, B., Rathje, E., Bachhuber, J., and French, J.: Documenting Liquefaction and Lateral Spreading Triggered by the 12 January 2010 Haiti Earthquake, Earthq. Spectra, 27, 93–116, https://doi.org/10.1193/1.3639270, 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.: Landslides from the 14 August 2021 earthquake in Haiti, https://blogs.agu.org/landslideblog/2021/09/03/landslides-from-the-14-august-2021-earthquake-in-haiti (last access: 10 June 2022), 2021.
Poupardin, A., Calais, E., Heinrich, P., Hébert, H., Rodriguez, M., Leroy, S., Aochi, H., and Douilly, R.: Deep submarine landslide contribution to the 2010 Haiti earthquake tsunami, Nat. Hazards Earth Syst. Sci., 20, 2055–2065, https://doi.org/10.5194/nhess-20-2055-2020, 2020.
Saint Fleur, N., Klinger, Y., and Feuillet, N.: Detailed map, displacement, paleoseismology, and segmentation of the Enriquillo-Plantain Garden Fault in Haiti, Tectonophysics, 778, 228368, https://doi.org/10.1016/j.tecto.2020.228368, 2020.
Sassa, S. and Takagawa, T.: Liquefied gravity flow-induced tsunami: first evidence and comparison from the 2018 Indonesia Sulawesi earthquake and tsunami disasters, Landslides, 16, 195–200, https://doi.org/10.1007/s10346-018-1114-x, 2018.
Stark, C. P. and Hovius, N.: The characterization of landslide size distributions, Geophys. Res. Lett., 28, 1091–1094, https://doi.org/10.1029/2000GL008527, 2001.
Stein, R. S., Toda, S., Lin, J., and Sevilgen, V.: Are the 2021 and 2010 Haiti earthquakes part of a progressive sequence?, Temblor, https://doi.org/10.32858/temblor.197, 2021.
Symithe, S. J., Calais, E., Haase, J. S., Freed, A. M., and Douilly, R.: Coseismic Slip Distribution of the 2010 M 7.0 Haiti Earthquake and Resulting Stress Changes on Regional Faults, B. Seismol. Soc. Am., 103, 2326–2343, https://doi.org/10.1785/0120120306, 2013.
Tanyaş, H. and Lombardo, L.: Variation in landslide-affected area under the control of ground motion and topography, Eng. Geol., 260, 105229, https://doi.org/10.1016/j.enggeo.2019.105229, 2019.
Tanyaş, H., Westen, C. J., Allstadt, K. E., Jessee, M. A. N., Görüm, T., Jibson, R. W., Godt, J. W., Sato, H. P., Schmitt, R. G., Marc, O., and Hovius, N.: Presentation and Analysis of a Worldwide Database of Earthquake-Induced Landslide Inventories, J. Geophys. Res.-Earth, 122, 1991–2015, https://doi.org/10.1002/2017jf004236, 2017.
Tanyas, H., Rossi, M., Alvioli, M., van Westen, C. J., and Marchesini, I.: A global slope unit-based method for the near real-time prediction of earthquake-induced landslides, Geomorphology, 327, 126–146, https://doi.org/10.1016/j.geomorph.2018.10.022, 2019a.
Tanyaş, H., Westen, C. J., Allstadt, K. E., and Jibson, R. W.: Factors controlling landslide frequency–area distributions, Earth Surf. Proc. Land., 44, 900–917, https://doi.org/10.1002/esp.4543, 2019b.
Tanyaş, H., Görüm, T., Fadel, I., Yıldırım, C., and Lombardo, L.: An open dataset for landslides triggered by the 2016 Mw 7.8 Kaikōura earthquake, New Zealand, Landslides, 19, 1405–1420, https://doi.org/10.1007/s10346-022-01869-9, 2022.
Von Hillebrandt-Andrade, C. and Vanacore, E.: Citizen science for studying earthquakes, Science, 376, 246–247, https://doi.org/10.1126/science.abo5378, 2022.
Wartman, J., Dunham, L., Tiwari, B., and Pradel, D.: Landslides in Eastern Honshu Induced by the 2011 Tohoku Earthquake Landslides in Eastern Honshu Induced by the 2011 Tohoku Earthquake, B. Seismol. Soc. Am., 103, 1503–1521, https://doi.org/10.1785/0120120128, 2013.
Wilson, R. C. and Keefer, D. K.: Predicting the areal limits of earthquake-induced landsliding, in: Evaluating Earthquake Hazards in the Los Angeles Region – An Earth Science Perspective, edited by: Ziony, J. I., U. S. Geol. Surv. Prof. Paper 1360, 316–345, 1985.
Xu, C., Shyu, J. B. H., and Xu, X.: Landslides triggered by the 12 January 2010 Port-au-Prince, Haiti, Mw=7.0 earthquake: visual interpretation, inventory compiling, and spatial distribution statistical analysis, Nat. Hazards Earth Syst. Sci., 14, 1789–1818, https://doi.org/10.5194/nhess-14-1789-2014, 2014.
Zhao, B., Wang, Y., Li, W., Lu, H., and Li, Z.: Evaluation of factors controlling the spatial and size distributions of landslides, 2021 Nippes earthquake, Haiti, Geomorphology, 415, 1–16, https://doi.org/10.1016/j.geomorph.2022.108419, 2022.
Short summary
We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, to the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021 affected area.
We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare...
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