Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
Comprehensive landslide susceptibility map of Central Asia
Ascanio Rosi
Department of Geosciences, University of Padua, Via G. Gradenigo 6,
35131 Padua, Italy
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
William Frodella
CORRESPONDING AUTHOR
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Nicola Nocentini
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Francesco Caleca
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Hans Balder Havenith
Department of Geology, University of Liège, 4000 Liège, Belgium
Alexander Strom
Geodynamics Research Center LLC, 125008 Moscow, Russian Federation
Geodynamics Research Center – branch of JSC “Hydroproject
Institute”, 125993 Moscow, Russian Federation
Mirzo Saidov
Institute of Water Problems, Hydropower, Engineering and Ecology of
Tajikistan (IWPHE), 734063 Dushanbe, Tajikistan
Gany Amirgalievich Bimurzaev
State Service of the Republic of Uzbekistan for Geohazards
Monitoring, 100074 Tashkent, Uzbekistan
Veronica Tofani
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Related authors
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Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 13–27, https://doi.org/10.5194/nhess-24-13-2024, https://doi.org/10.5194/nhess-24-13-2024, 2024
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Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-140, https://doi.org/10.5194/nhess-2023-140, 2023
Revised manuscript accepted for NHESS
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Central Asia regions are characterized 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 potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384, https://doi.org/10.5194/nhess-22-3361-2022, https://doi.org/10.5194/nhess-22-3361-2022, 2022
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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.
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.
Teresa Salvatici, Veronica Tofani, Guglielmo Rossi, Michele D'Ambrosio, Carlo Tacconi Stefanelli, Elena Benedetta Masi, Ascanio Rosi, Veronica Pazzi, Pietro Vannocci, Miriana Petrolo, Filippo Catani, Sara Ratto, Hervè Stevenin, and Nicola Casagli
Nat. Hazards Earth Syst. Sci., 18, 1919–1935, https://doi.org/10.5194/nhess-18-1919-2018, https://doi.org/10.5194/nhess-18-1919-2018, 2018
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In this paper, we present the application of the physically based HIRESSS model (High Resolution Stability Simulator) to forecast the occurrence of shallow landslides in a portion of the Aosta Valley region (Italy). An in-depth study of the geotechnical and hydrological properties of the hillslopes controlling shallow landslides formation was conducted, in order to generate an input map of parameters. The main aim of this study is to set up a regional landslide early warning system.
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.
William Frodella, Teresa Salvatici, Veronica Pazzi, Stefano Morelli, and Riccardo Fanti
Nat. Hazards Earth Syst. Sci., 17, 1779–1793, https://doi.org/10.5194/nhess-17-1779-2017, https://doi.org/10.5194/nhess-17-1779-2017, 2017
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A local scale GB-InSAR system was implemented for mapping and monitoring slope landslide residual deformations and for early warning purposes in case of landslide reactivations, with the aim of assuring the safety of the valley inhabitants and the personnel involved in the post-event recovery phase. The here presented methodology could represent a useful contribution to a better understanding of landslide phenomena and decision making process during the post-emergency management activities.
Guglielmo Rossi, Luca Tanteri, Veronica Tofani, Pietro Vannocci, Sandro Moretti, and Nicola Casagli
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-46, https://doi.org/10.5194/nhess-2017-46, 2017
Preprint retracted
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The Department of Earth Sciences of Florence (DST) has developed a new type of drone chassis that has been equipped with an optical camera to map landslides. The images acquired during the aerial drone surveys allowed to obtain a continuous 3D surface model of the studied area using a photogrammetric approach.The drone survey has proven to be an easier and more cost- and time-effective approach with respect to other techniques to mpa landslides.
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
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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).
F. Catani, D. Lagomarsino, S. Segoni, and V. Tofani
Nat. Hazards Earth Syst. Sci., 13, 2815–2831, https://doi.org/10.5194/nhess-13-2815-2013, https://doi.org/10.5194/nhess-13-2815-2013, 2013
P. Mercogliano, S. Segoni, G. Rossi, B. Sikorsky, V. Tofani, P. Schiano, F. Catani, and N. Casagli
Nat. Hazards Earth Syst. Sci., 13, 771–777, https://doi.org/10.5194/nhess-13-771-2013, https://doi.org/10.5194/nhess-13-771-2013, 2013
V. Tofani, S. Segoni, A. Agostini, F. Catani, and N. Casagli
Nat. Hazards Earth Syst. Sci., 13, 299–309, https://doi.org/10.5194/nhess-13-299-2013, https://doi.org/10.5194/nhess-13-299-2013, 2013
G. Rossi, F. Catani, L. Leoni, S. Segoni, and V. Tofani
Nat. Hazards Earth Syst. Sci., 13, 151–166, https://doi.org/10.5194/nhess-13-151-2013, https://doi.org/10.5194/nhess-13-151-2013, 2013
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Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling
Assessing Locations Susceptible to Landslide Initiation During Prolonged Intense Rainfall in the Lares, Utuado, and Naranjito Municipios of Puerto Rico
A new analytical method for stability analysis of rock blocks with basal erosion in sub-horizontal strata by considering the eccentricity effect
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Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
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Sensitivity analysis of a built environment exposed to the synthetic monophasic viscous debris flow impacts with 3-D numerical simulations
Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)
Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947
Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management
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Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria)
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Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
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Physically based modeling of co-seismic landslide, debris flow, and flood cascade
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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.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-185, https://doi.org/10.5194/nhess-2023-185, 2023
Revised manuscript accepted for NHESS
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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 percent, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
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.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
EGUsphere, https://doi.org/10.5194/egusphere-2023-1892, https://doi.org/10.5194/egusphere-2023-1892, 2023
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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.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-126, https://doi.org/10.5194/nhess-2023-126, 2023
Revised manuscript accepted for NHESS
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We analyzed 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. Rather, the flow properties appear to be determined by the flow volume, from which most other parameters can be derived.
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.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
EGUsphere, https://doi.org/10.5194/egusphere-2023-1672, https://doi.org/10.5194/egusphere-2023-1672, 2023
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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.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-140, https://doi.org/10.5194/nhess-2023-140, 2023
Revised manuscript accepted for NHESS
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Central Asia regions are characterized 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 potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
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.
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.
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-24, https://doi.org/10.5194/nhess-2023-24, 2023
Revised manuscript accepted for NHESS
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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 differs depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
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.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764, https://doi.org/10.5194/nhess-22-3751-2022, https://doi.org/10.5194/nhess-22-3751-2022, 2022
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The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
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Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384, https://doi.org/10.5194/nhess-22-3361-2022, https://doi.org/10.5194/nhess-22-3361-2022, 2022
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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.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, https://doi.org/10.5194/nhess-22-3309-2022, https://doi.org/10.5194/nhess-22-3309-2022, 2022
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On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Bastian van den Bout, Chenxiao Tang, Cees van Westen, and Victor Jetten
Nat. Hazards Earth Syst. Sci., 22, 3183–3209, https://doi.org/10.5194/nhess-22-3183-2022, https://doi.org/10.5194/nhess-22-3183-2022, 2022
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Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone events. After the 2008 Wenchuan earthquake, a co-seismic landslide blocked a stream in Hongchun. Two years later, a debris flow breached the material, blocked the Min River, and resulted in flooding of a small town. We developed a multi-process model that captures the full cascade. Despite input and process uncertainties, probability of flooding was high due to topography and trigger intensities.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Cited articles
Abdrakhmatov, K., Havenith, H. B., Delvaux, D., Jongmans, D., and Trefois, P.: Probabilistic PGA and Arias Intensity Maps of Kyrgyz Republic (Central
Asia), J. Seismol., 7, 203–220, 2003.
Abdrakhmatov, K. Y., Aldazhanov, S. A., Hager, B. H., Hamburger, M. W., Herring, T. A., Kalabaev, K. B., Makarov, P. Molnar, S. V. Panasyuk, M. T. Prilepin, R. E., Reilinger, I. S., Sadybakasov, B. J., Souter, Y. A., Trapeznikov, V. Y., and Tsurkov Zubovich, A. V.: Relatively recent construction of the Tien Shan inferred from GPS measurements of present-day crustal deformation rates, Nature, 384, 450–453, 1996.
Akgun, A. A.: comparison of landslide susceptibility maps produced by
logistic regression, multi-criteria decision, and likelihood ratio methods:
A case study at İzmir, Turkey, Landslides, 9, 93–106, 2012.
Bazzurro, P. et al.: Strengthening Financial Resilience and Accelerating
Risk Reduction in Central Asia – the SFRARR project. The SFRARR
probabilistic flood hazard assessment, in preparation, 2023.
Behling, R. and Roessner, S.: Multi-temporal landslide inventory for a study
area in Southern Kyrgyz Republic derived from RapidEye satellite time series
data (2009–2013), V.1.0. GFZ Data Services [data set], https://doi.org/10.5880/GFZ.1.4.2020.001, 2020.
Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated
spatiotemporal landslide mapping over large areas using rapideye time series
data, Remote Sens. 6, 8026–8055, https://doi.org/10.3390/rs6098026, 2014.
Behling, R., Roessner, S., Golovko, D., and Kleinschmit, B.: Derivation of
long-term spatiotemporal landslide activity – A multi-sensor time series
approach, Remote Sens. Environ., 186, 88–104, https://doi.org/10.1016/j.rse.2016.07.017, 2016.
Brabb, E. E.: Innovative approaches to landslide hazard mapping, in:
Proceedings 4th International Symposium on Landslides, Toronto, Canada, 16–21 September 1984, Canadian Geotechnical Society, 1, 307–324, 1984.
Breiman, L.: Random forests, Mach. Learn. 45, 5–32, 2001.
Brenning, A.: Spatial prediction models for landslide hazards: review, comparison and evaluation, Nat. Hazards Earth Syst. Sci., 5, 853–862, https://doi.org/10.5194/nhess-5-853-2005, 2005.
Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar, N. E., Herold, M., and Fritz, S.: Copernicus global land service: Land cover 100 m: collection 3: epoch 2019: Globe, Version V3.0.1, Zenodo [data set], https://doi.org/10.5281/zenodo.3939050, 2020.
CAC DRMI: Risk assessment for Central Asia and Caucasus: desk study review, project report, Central Asia and Caucasus Disaster Risk Management Initiative, 2009.
Carrara, A.: Multivariate models for landslide hazard evaluation, J. Int.
Assoc. Math. Geol., 15, 403–426, 1983.
Cascini, L.: Applicability of landslide susceptibility and hazard zoning at
different scales, Eng. Geol., 102, 164–177, 2008.
Catani, F., Lagomarsino, D., Segoni, S., and Tofani, V.: Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues, Nat. Hazards Earth Syst. Sci., 13, 2815–2831, https://doi.org/10.5194/nhess-13-2815-2013, 2013.
Chedia, O. K. and Lemzin, I. N.: Seismogenerating faults of the Chatkal
depression, in: Seismotectonics and seismicity of the Tien Shan, Frunze,
Ilim, 18–28, 1980.
Chen, L., Van Westen, C. J., Hussin, H., Ciurean, R. L., Turkington, T.,
Chavarro-Rincon, D., and Shrestha, D. P.: Integrating expert opinion with
modelling for quantitative multi-hazard risk assessment in the Eastern
Italian Alps, Geomorphology, 273, 150–167, 2016.
Coccia, G. et al.: The SFRARR probabilistic flood hazard assessment, in preparation, 2023.
Corominas, J., Copons, R., Vilaplana, J. M., Altimir, J., and Amigó, J.:
Integrated landslide susceptibility analysis and hazard assessment in the
principality of Andorra, Nat. Hazards, 30, 421–435, 2003.
Cruden, D. M. and Varnes, D. J.: Landslide types and processes. Landslides:
Investigation and Mitigation, Special Report 247, Transportation Research
Board, Washington, 36–75, 1996.
Danneels, G., Bourdeau, C., Torgoev, I., and Havenith, H. B.: Geophysical
investigation and dynamic modelling of unstable slopes: case-study of
Kainama (Kyrgyzstan), Geophys. J. Int., 175, 17–34,
2008.
Delvaux, D., Abdrakhmatov, K. E., Lemzin, I. N., and Strom, A. L.: Landslides and surface breaks of the 1911 Ms 8.2 Kemin earthquake, Kyrgyzstan, Russ.
Geol. Geophys.+, 42, 1667–1677, 2001.
Duman, T. Y., Can, T., Gokceoglu, C., and Sonmez, H.: Application of logistic
regression for landslide susceptibility zoning of Cekmece Area, Istanbul,
Turkey, Environ. Geol., 51, 241–256, 2006.
Ermini, L., Catani, F., and Casagli, N.: Artificial Neural Networks applied to landslide susceptibility assessment, Geomorphology, 66, 327–343, 2005.
European Commission: Humanitarian Aid, Civil Protection, U.N.I.S. for D.R.R.:
Disaster Risk Reduction 20 Examples of Good Practice from Central Asia, European Commission, technical report, 2006.
Frattini, P., Crosta, G., and Carrara, A.: Techniques for evaluating the
performance of landslide susceptibility models, Eng. Geol., 111, 62–72, 2010.
GFDRR (Global Facility for Disaster Reduction and Recovery): Disaster Risk
Management Notes for Priority Countries 2009–2015, Eur. Asia, GFDRR, technical report, 48–49, 2009.
GFDRR (Global Facility for Disaster Reduction and Recovery): Europe and
Central Asia-Country Risk Profiles for Floods and Earthquakes, GFDRR, technical report, 144 pp., 2016.
Goetz, J. N., Brenning, A., Petschkoc, H., and Leopold, P.: Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling, Comput Geosci., 81, 1–11, 2015.
Golovko, D., Roessner, S., Behling, R., Wetzel, H. U., and Kleinschmidt, B.:
Development of multi-temporal landslide inventory information system for
southern Kyrgyz Republic using GIS and satellite remote sensing, PFG 2015,
157–172, https://doi.org/10.1127/pfg/2015/0261, 2015.
Havenith, H.-B., Strom, A., Jongmans, D., Abdrakhmatov, A., Delvaux, D., and Tréfois, P.: Seismic triggering of landslides, Part A: Field evidence from the Northern Tien Shan, Nat. Hazards Earth Syst. Sci., 3, 135–149, https://doi.org/10.5194/nhess-3-135-2003, 2003.
Havenith, H. B., Strom, A., Cacerez, F., and Pirard, E.: Analysis of landslide susceptibility in the Suusamyr region, Tien Shan: statistical and
geotechnical approach, Landslides, 3, 39–50, 2006a.
Havenith, H. B., Torgoev, I., Meleshko, A., Alioshin, Y., Torgoev, A., and
Danneels, G.: Landslides in the Mailuu-Suu Valley, Kyrgyz Republic – hazards
and impacts, Landslides, 3, 137–147, 2006b.
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, 2015a.
Havenith, H. B., Torgoev, A., Schlögel, R., Braun, A., Torgoev, I., and
Ischuk, A.: Tien Shan geohazards database: Landslide susceptibility
analysis, Geomorphology, 249, 32–43, 2015b.
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, Geoenvironmental
Disasters, 1, 1–24, 2016.
Havenith, H. B., Umaraliev, R., Schlögel, R., Torgoev, I., Ruslan, U.,
Schlogel, R., and Torgoev, I.: Past and Potential Future Socioeconomic Impacts of Environmental Hazards in Kyrgyz Republic, in: Kyrgyz Republic: Political, Economic and Social Issues, edited by: Olivier, A. P., Nova Science Publishers, Inc., Hauppauge, NY, USA, 63–113, ISBN 978-1-53612-763-8, 2017.
Hong, Y., Adler, R., and Huffman, G.: Use of satellite remote sensing data in
the mapping of global landslide susceptibility, Nat. Hazards, 43, 23–44,
2007.
Ishihara, K., Okusa, S., Oyagi, N., and Ischuk, A.: Liquefaction-induced flow
slide in the collapsible loess deposit in Soviet Tajik, Soils Found., 30, 73–89, 1990.
Juliev, M., Pulatov, A., and Hubl, J.: Natural hazards in mountain regions of
Uzbekistan: A review of mass movement processes in Tashkent province,
International Journal of Scientific & Engineering Research, 8, 1102, https://doi.org/10.14299/ijser.2017.02.013, 2017.
Kalmetieva, Z. A., Mikolaichuk, A. V, Moldobekov, B. D., Meleshko, A. V.,
Janaev, M. M., and Zubovich, A. V.: Atlas of earthquakes in Kyrgyz Republic,
Central-Asian Institute for Applied Geosciences and United Nations
International Strategy for Disaster Reduction Secretariat Office in Central
Asia, Bishkek, p. 75, 2009.
Kirschbaum, D., Stanley, T., and Zhou, Y.: Spatial and temporal analysis of a
global landslide catalog, Geomorphology, 249, 4–15, https://doi.org/10.1016/j.geomorph.2015.03.016, 2015.
Lagomarsino, D., Tofani, V., Segoni, S., Catani, F., and Casagli, N.: A tool for classification and regression using random forest methodology: Applications to landslide susceptibility mapping and soil thickness modeling, Environ. Model. Assess., 22, 201–214, 2017.
Lee, S.: Application of logistic regression model and its validation for
landslide susceptibility mapping using GIS and remote sensing data, Int. J.
Remote Sens., 26, 1477–1491, 2005.
Li, F., Torgoev, I., Zaredinov, D., Li, M., Talipov, B., Belousova, A.,
Kunze, C., and Schneider, P.: Influence of Earthquakes on Landslide
Susceptibility in a Seismic Prone Catchment in Central Asia, Appl. Sci, 11,
3768, https://doi.org/10.3390/app11093768, 2021.
Manzo, G., Tofani, V., Segoni, S., Battistini, A., and Catani, F.: GIS
techniques for regional-scale landslide susceptibility assessment: The
Sicily (Italy) case study, Int. J. Geogr. Inf. Sci., 27, 1433–1452, 2013.
Martelloni, G., Segoni, S., Fanti, R., and Catani, F.: Rainfall thresholds for the forecasting of landslide occurrence at regional scale, Landslides, 9,
485–495, 2012.
Medeu, A. R. and Blagovechshenskiy, A. R.: Seismogenic Landslide risk zoning in the surrounding areas of Almaty city, Kazakhstan, Vestnick of Almaty University of Power Engineering and Telecommunications (AUPET), 6, 121–126, 2016.
Molnar, P. and Tapponnier, P.: Cenozoic Tectonics of Asia: Effects of a
Continental Collision: Features of recent continental tectonics in Asia can
be interpreted as results of the India-Eurasia collision, Science,
189, 419–426, 1975.
Muñoz-Sabater, J.: ERA5-Land monthly averaged data from 1981 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.e2161bac, 2019a.
Muñoz-Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.68d2bb30, 2019b.
Nadim, F., Kjekstad, O., Peduzzi, P., Herold, C., and Jaedicke, C.: Global
landslide and avalanche hotspots, Landslides, 3, 159–173, 2006.
Niyazov, R., Nurtaev, B., Bimurzaev, G., and Tashpulatov, M.: Flow Slides in
Uzbekistan: Overview and Case Studies, in: Understanding and Reducing Landslide Disaster Risk, edited by: Casagli, N., Tofani, V., Sassa, K., Bobrowsky, P. T., and Takara, K., WLF 2020, ICL Contribution to Landslide Disaster Risk Reduction, Springer, Cham, https://doi.org/10.1007/978-3-030-60311-3_5, 2021.
Niyazov, R. A. and Nurtaev, B. S.: Evaluation of Landslides in Uzebekistan Caused by the Joint Impact of Precipitation and Deep-focus Pamir-Hindu Earthquakes, in: Landslides: Global Risk Preparedness, edited by: Sassa, K., Rouhban, B., Briceño, S., McSaveney, M., and He, B., Springer, Berlin,
Heidelberg, 253–265, https://doi.org/10.1007/978-3-642-22087-6_17, 2013.
Pánek, T., Korup, O., Minár, J., and Hradecký J.: Giant landslides and highstands of the Caspian Sea, Geology, 44, 939–942, 2016.
Persits, F. M., Ulmishek, G. F., and Steinshouer, D. W.: Maps showing geology, oil and gas fields and geologic provinces of the Former Soviet Union, No. 97-470-E, US Geological Survey, https://doi.org/10.3133/ofr97470E, 1997.
Piroton, V., Schlögel, R., Barbier, C., and Havenith, H. B.: Monitoring the recent activity of landslides in the Mailuu-suu valley (Kyrgyz Republic)
using radar and optical remote sensing techniques, Geosciences, 10, 164, https://doi.org/10.3390/geosciences10050164, 2020.
Pittore, M., Ozturk, U., Moldobekov, B., and Saponaro, A.: EMCA Landslide
catalog Central Asia, V.1.0. GFZ Data Services [data set], https://doi.org/10.5880/GFZ.2.6.2018.004, 2018.
Poggi, V. et al.: Harmonising seismicity information in Central Asia:
earthquake catalogue and faults. The SFRARR probabilistic flood hazard
assessment, in preparation, 2023a.
Poggi, V. et al.: Development of a state of art probabilistic seismic
hazard model for Central Asia countries. The SFRARR probabilistic flood
hazard assessment, 2023b.
Pollner, J., Kryspin-Watson, J., and Nieuwejaar, S.: Disaster Risk Management
and Climate Change Adaptation in Europe and Central Asia, World Bank, technical report, 1–53, 2010.
Pusch, C.: A comprehensive risk management framework for Europe and Central
Asia, No. 9, The World Bank, Disaster Risk Management Working Paper Series, technical report, 2004.
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., and Guzzetti, F.: A review of statistically-based landslide susceptibility models, Earth Sci. Rev., 180, 60–91, 2018.
Roessner, S., Wetzel, H. U., Kaufmann, H., Kornus, W., Lehner, M., Reinartz,
P., and Mueller, R.: Landslide Investigations in Southern Kyrgyz Republic Based on a Digital Elevation Model Derived from MOMS-2P Data, Congress “Geoinformation for all”, Amsterdam, the Netherlands, 2000, ISPRS – International Archives of Photogrammetry and Remote Sensing, Vol. 33, Part B7, 1259–1266, 2000.
Roessner, S., Wetzel, H. U., Kaufmann, H., and Sarnagoev, A.: Satellite Remote Sensing and GIS Based Analysis of Large Landslides in Southern Kyrgyz
Republic, NATO Advanced Research, in: Workshop Proceedings: Security of Natural and Artificial Rockslide Dams, Bishkek, Kyrgyz Republic, 7–12 June 2004, GFZ Publication, 2004.
Roessner, S., Wetzel, H. U., Kaufmann, H., and Sarnagoev, A.: Potential of
Satellite Remote Sensing and GIS for Landslide Hazard Assessment in Southern
Kyrgyz Republic (Central Asia), Nat. Hazards, 35, 395–416, 2005.
Saponaro, A., Pilz, M., Bindi, D., and Parolai, S.: The contribution of EMCA to landslide susceptibility mapping in Central Asia, Ann. Geophys.-Italy, 58, S0113, https://doi.org/10.4401/ag-6668, 2015a.
Saponaro, A., Pilz, M., Wieland, M., Bindi, D., Moldobekov, B.,
and Parolai, S.: Landslide susceptibility analysis in data-scarce
regions: the case of Kyrgyz Republic, B. Eng. Geol. Environ., 74, 1117–1136, https://doi.org/10.1007/s10064-014-0709-2, 2015b.
Scaini, C. et al.: A new regionally consistent exposure database
for Central Asia: population and residential buildings, in preparation, 2023.
Schiavina, M., Melchiorri, M., Pesaresi, M., Politis, P., Freire, S.,
Maffenini, L., Florio, P., Ehrlich, D., Goch, K., Tommasi, P., and Kemper, T.: GHSL Data Package, Publications Office of the European Union, Luxembourg,
2022, ISBN 978-92-76-53071-8, 2022.
Schlögel, R., Torgoev, I., De Marneffe, C., and Havenith, H. B.: Evidence of a changing size-frequency distribution of landslides in the Kyrgyz Tien
Shan, Central Asia, Earth Surf. Proc. Land., 36, 1658–1669, 2011.
Segoni, S., Tofani, V., Rosi, A., Catani, F., and Casagli, N.: Combination of
rainfall thresholds and susceptibility maps for dynamic landslide
hazardassessment at regional scale, Front Earth Sci., 6, https://doi.org/10.3389/feart.2018.00085, 2018.
Stanley, T. and Kirschbaum, D. B.: A heuristic approach to global landslide
susceptibility mapping, Nat. Hazards, 87, 145–164, 2017.
Sternberg R.: Damming a river: a changing perspective on altering nature,
Renew. Sust. Energ. Rev., 10, 165–197, 2006.
Strom, A.: Landslide dams in Central Asia region, Journal of the Japan
Landslide Society, 47, 309–324, 2010.
Strom, A. and Abdrakhmatov, K.: Large-Scale Rockslide Inventories: From the
Kokomeren River Basin to the Entire Central Asia Region, WCoE 2014–2017,
IPL-106-2, in: 4th World Landslide Forum, Ljubljana, Slovenia, 29 May–2 June 2017, Springer, Cham, 339–346, https://doi.org/10.1007/978-3-319-59469-9_28, 2017.
Strom, A. and Abdrakhmatov, K.: Rockslides and rock avalanches of Central Asia: distribution, morphology, and internal structure, Elsevier, 441 pp., ISBN 978-0-12-803204-6, 2018.
Strom, A. L. and Korup, O.: Extremely large rockslides and rock avalanches in
the Tien Shan, Kyrgyz Republic, Landslides 3, 125–136, 2006.
Styron, R. and Pagani, M.: The GEM Global Active Faults Database, Earthq.
Spectra, 36, 160–180, 2020.
Thurman, M.: Natural Disaster Risks in Central Asia: A Synthesis, UNDP BCPR, technical report, 2011.
Tien Bui, D., Tuan, T. A., Klempe, H., Pradhan, B., and Revhaug, I.: Spatial
prediction models for shallow landslide hazards: a comparative assessment of
the efficacy of support vector machines, artificial neural networks, kernel
logistic regression, and logistic model tree, Landslides, 13, 361–378, 2016.
Tiranti, D., Nicolò, G., and Gaeta, A. R.: Shallow landslides predisposing and triggering factors in developing a regional early warning system, Landslides, 16, 235–251, 2019.
Trifonov, V. G., Makarov, V. I., and Scobelev, S. F.: The Talas-Fergana active right-slip faults, Ann. Tectonicae, 6, 224–237, 1992.
Trigila, A., Frattini, P., Casagli, N., Catani, F., Crosta, G., Esposito,
C., and Spizzichino, D.: Landslide susceptibility mapping at national scale: the Italian case study, in: Landslide Science and Practice, Springer, Berlin,
Heidelberg, 287–295, https://doi.org/10.1007/978-3-642-31325-7_38, 2013.
Ullah, S., Bindi, D., Pilz, M., Danciu, L., Weatherill, G., Zuccolo, E.,
Anatoly Ischuk, A., Mikhailova, N. N., Abdrakhmatov, K., and Parolai, S.:
Probabilistic seismic hazard assessment for Central Asia, Ann.
Geophys.-Italy, 58, 1, https://doi.org/10.4401/ag-6687, 2015.
UNISDR: Risk assessment for Central Asia and Caucasus: desk study review,
CAC DRMI 2009, Risk Management Working Paper Series No. 9, The World Bank, technical report, 2009.
World Bank: Natural Disaster Hotspots: Case Studies, Disaster Risk
Management Series No. 6, World Bank, technical report, 2006.
World Bank: Investigation and Analysis of Natural Hazard Impacts on Linear
Infrastructure in Southern Kyrgyz Republic Desk and Field Studies Report, World Bank, Report 68669, 2008.
World Bank: The Global Landslide Hazard Map: Final Project Report, World Bank, technical report, Appendix A, 2020.
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F.,
Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy map of global terrain elevations, Geophys. Res. Lett., 44, 5844–5853, 2017.
Yilmaz, I.: Landslide susceptibility mapping using frequency ratio, logistic
regression, artificial neural networks and their comparison: a case study
from Kat landslides (Tokat–Turkey), Comput. Geosci., 35,
1125–1138, 2009.
Zubovich, A. V., Wang, X. Q., Scherba, Y. G., Schelochkov, G. G., Reilinger,
R., Reigber, C., Mosienko, O., Molnar, P., Michajljow, W., Makarov, V. I.,
Li, J., Kuzikov, S. I., Herring, T. A., Hamburger, M. W., Hager B. H., Dang, Y., Bragin, V. D., and Beisenbaev, R.: GPS velocity field for the Tien Shan and surrounding regions, Tectonics, 29, 23, https://doi.org/10.1029/2010TC002772, 2010.
Short summary
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.
This work was carried out within the Strengthening Financial Resilience and Accelerating Risk...
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