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.
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
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Valentine Piroton, Adam Emmer, and Hans-Balder Havenith
EGUsphere, https://doi.org/10.5194/egusphere-2026-1442, https://doi.org/10.5194/egusphere-2026-1442, 2026
This preprint is open for discussion and under review for Earth Observation (EO).
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High-resolution satellite imagery was used to map the expansion in number and area of glacial lakes across Kyrgyzstan from 2016 to 2024. Small, high-elevation, glacier-connected lakes grew most, whereas larger, lower-elevation lakes remained stable. Including these often omitted small dynamic lakes in the 2024 inventory advances comprehensive monitoring of glacier–lake systems and high-mountain hydrology, highlighting how glacier retreat and topography shape lake distribution.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024, https://doi.org/10.5194/nhess-24-1697-2024, 2024
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Central Asia regions are marked by active tectonics, high mountains with glaciers, and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of possible damming scenarios, which endanger the population. To prevent this, a semi-automated geographic information system (GIS-)based mapping method, centered on a bivariate correlation of morphometric parameters, was applied to give preliminary information on damming susceptibility in Central Asia.
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.
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.
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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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