Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-13-2024
© Author(s) 2024. 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-24-13-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jan 2024
Research article |
| 09 Jan 2024
| 09 Jan 2024
Regional-scale landslide risk assessment in Central Asia
Francesco Caleca
CORRESPONDING AUTHOR
Department of Earth Sciences, University of Florence, via G. la Pira 4, 50121 Florence, Italy
Chiara Scaini
National Institute of Oceanography and Applied Geophysics – OGS, Borgo Grotta Gigante, 34100 Sgonico (Trieste), Italy
William Frodella
Department of Earth Sciences, University of Florence, via G. la Pira 4, 50121 Florence, Italy
Veronica Tofani
Department of Earth Sciences, University of Florence, via G. la Pira 4, 50121 Florence, Italy
Related authors
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
Short summary
Short summary
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.
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
Short summary
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.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
Short summary
Short summary
Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
Short summary
Short summary
Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Antonella Peresan, Chiara Scaini, Sergey Tyagunov, and Paola Ceresa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-156, https://doi.org/10.5194/nhess-2023-156, 2023
Preprint under review for NHESS
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The experience collected during a capacity building experience in Central Asia is illustrated, which consisted in the organization of a series of training workshops devoted to the different components of risk assessment, focused on earthquakes, floods and selected landslide scenarios. The activity consisted of five country-based workshops on exposure assessment in each of the Countries of Central Asia, plus three regional scale thematic workshops on hazard, vulnerability and risk modelling.
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
Short summary
Short summary
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.
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
Short summary
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.
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.
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
Short summary
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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
Short summary
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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.
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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Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
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Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
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Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
EGUsphere, https://doi.org/10.5194/egusphere-2023-2185, https://doi.org/10.5194/egusphere-2023-2185, 2023
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Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
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André Felipe Rocha Silva and Julian Cardoso Eleutério
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This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
Laurine A. de Wolf, Peter J. Robinson, Wouter J. W. Botzen, Toon Haer, Jantsje M. Mol, and Jeff Czajkowski
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-163, https://doi.org/10.5194/nhess-2023-163, 2023
Revised manuscript accepted for NHESS
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An understanding of flood risk perceptions may aid in improving flood risk communication We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
Stephen B. Ferencz, Ning Sun, Sean Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-149, https://doi.org/10.5194/nhess-2023-149, 2023
Revised manuscript accepted for NHESS
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Drought has long posed an existential threat to society. Population growth and economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008 – 2015 record drought in the Colorado Basin, Texas, United States is used as a case study to assess impacts and responses to severe drought.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-139, https://doi.org/10.5194/nhess-2023-139, 2023
Revised manuscript accepted for NHESS
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios, by emulating the dynamics and behavior of the population and the decision making regarding the starting time of the evacuation.
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
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Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
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Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
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This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
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The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
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Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
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Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
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The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
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This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
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The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
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Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
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In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
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Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
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Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
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Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
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In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
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This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
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This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
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This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
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The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). In this work we present the main results of the three survey phases, with a comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the survey.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, https://doi.org/10.5194/nhess-22-3543-2022, https://doi.org/10.5194/nhess-22-3543-2022, 2022
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This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
Pauline Brémond, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, https://doi.org/10.5194/nhess-22-3385-2022, https://doi.org/10.5194/nhess-22-3385-2022, 2022
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It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. For this, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
Cited articles
Abella, E. C. and Van Westen, C. J.: Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation, Landslides, 4, 311–325, 2007.
Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated spatiotemporal landslide mapping over large areas using rapideye time series data, Remote Sens.-Basel, 6, 8026–8055, 2014.
Benson, C. and Clay, E. J.: Understanding the economic and financial impacts of natural disasters, World Bank Publications, ISBN 0-8213-5685-2, 2004.
Bezerra, L., Neto, O. de F., Santos Jr., O., and Mickovski, S.: Landslide risk mapping in an urban area of the City of Natal, Brazil, Sustainability, 12, 9601, https://doi.org/10.3390/su12229601, 2020.
Biçer, Ç. T. and Ercanoglu, M.: A semi-quantitative landslide risk assessment of central Kahramanmaraş City in the Eastern Mediterranean region of Turkey, Arab. J. Geosci., 13, 1–26, 2020.
Brabb, E. E.: Innovative approaches to landslide hazard and risk mapping, in: International Landslide Symposium Proceedings, Toronto, Canada, 23–31 August 1984, 17–22, 1984.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 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.
Burtman, V. S.: Structural geology of variscan Tien Shan, USSR, Am. J. Sci., 275, 157–186, 1975.
Buslov, M. M., De Grave, J., Bataleva, E. A. V., and Batalev, V. Y.: Cenozoic tectonic and geodynamic evolution of the Kyrgyz Tien Shan Mountains: A review of geological, thermochronological and geophysical data, J. Asian Earth Sci., 29, 205–214, 2007.
Caleca, F., Tofani, V., Segoni, S., Raspini, F., Rosi, A., Natali, M., Catani, F., and Casagli, N.: A methodological approach of QRA for slow-moving landslides at a regional scale, Landslides, 19, 1539–1561, https://doi.org/10.1007/s10346-022-01875-x, 2022
Catani, F., Casagli, N., Ermini, L., Righini, G., and Menduni, G.: Landslide hazard and risk mapping at catchment scale in the Arno River basin, Landslides, 2, 329–342, https://doi.org/10.1007/s10346-005-0021-0, 2005.
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.
Charreau, J., Gilder, S., Chen, Y., Dominguez, S., Avouac, J.-P., Sen, S., Jolivet, M., Li, Y., and Wang, W.: Magnetostratigraphy of the Yaha section, Tarim Basin (China): 11 Ma acceleration in erosion and uplift of the Tian Shan mountains, Geology, 34, 181–184, 2006.
Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J.-P., Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., and Smith, J. T.: Recommendations for the quantitative analysis of landslide risk, B. Eng. Geol. Environ., 73, 209–263, https://doi.org/10.1007/s10064-013-0538-8, 2014.
Corominas, J., Matas, G., and Ruiz-Carulla, R.: Quantitative analysis of risk from fragmental rockfalls, Landslides, 16, 5–21, 2019.
Dai, F. C., Lee, C. F., and Ngai, Y. Y.: Landslide risk assessment and management: an overview, Eng. Geol., 64, 65–87, https://doi.org/10.1016/S0013-7952(01)00093-X, 2002.
Davy, P. and Cobbold, P. R.: Indentation tectonics in nature and experiment. 1. Experiments scaled for gravity, Bull. Geol. Inst. Univ. Upps., 14, 129–141, 1988.
de Almeida, L. Q., Welle, T., and Birkmann, J.: Disaster risk indicators in Brazil: A proposal based on the world risk index, Int. J. Disast. Risk Re., 17, 251–272, https://doi.org/10.1016/j.ijdrr.2016.04.007, 2016.
Dragićević, S., Lai, T., and Balram, S.: GIS-based multicriteria evaluation with multiscale analysis to characterize urban landslide susceptibility in data-scarce environments, Habitat Int., 45, 114–125, 2015.
Emberson, R., Kirschbaum, D., and Stanley, T.: New global characterisation of landslide exposure, Nat. Hazards Earth Syst. Sci., 20, 3413–3424, https://doi.org/10.5194/nhess-20-3413-2020, 2020.
Farr, T. G. and Kobrick, M.: Shuttle Radar Topography Mission produces a wealth of data, Eos T. Am. Geophys. Un., 81, 583–585, 2000.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., and Roth, L.: The shuttle radar topography mission, Rev. Geophys., 45, RG2004, https://doi.org/10.1029/2005RG000183, 2007.
Fell, R., Ho, K. K., Lacasse, S., and Leroi, E.: A framework for landslide risk assessment and management, in: Landslide risk management, CRC Press, 13–36, ISBN 04 1538 043 X, 2005.
Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., and Savage, W. Z.: Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning, Eng. Geol., 102, 99–111, 2008.
Ferlisi, S., Marchese, A., and Peduto, D.: Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy), Landslides, 18, 303–319, 2021.
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004 to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181, https://doi.org/10.5194/nhess-18-2161-2018, 2018.
Garcia, R. A. C., Oliveira, S. C., and Zêzere, J. L.: Assessing population exposure for landslide risk analysis using dasymetric cartography, Nat. Hazards Earth Syst. Sci., 16, 2769–2782, https://doi.org/10.5194/nhess-16-2769-2016, 2016.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci. Rev., 162, 227–252, 2016.
Glade, T.: Vulnerability assessment in landslide risk analysis, Erde, 134, 123–146, 2003.
Golovko, D., Roessner, S., Behling, R., Wetzel, H.-U., and Kleinschmidt, B.: Development of multi-temporal landslide inventory information system for southern Kyrgyzstan using GIS and satellite remote sensing, Photogramm. Fernerkun., 2015, 157–172, 2015.
Guillard-Gonçalves, C., Cutter, S. L., Emrich, C. T., and Zêzere, J. L.: Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon, Portugal, J. Risk Res., 18, 651–674, https://doi.org/10.1080/13669877.2014.910689, 2015.
Guzzetti, F., Reichenbach, P., Cardinali, M., Galli, M., and Ardizzone, F.: Probabilistic landslide hazard assessment at the basin scale, Geomorphology, 72, 272–299, https://doi.org/10.1016/j.geomorph.2005.06.002, 2005.
Haque, U., Da Silva, P. F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., and Lee, J.: The human cost of global warming: Deadly landslides and their triggers (1995–2014), Sci. Total Environ., 682, 673–684, 2019.
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., Caceres, F., and Pirard, E.: Analysis of landslide susceptibility in the Suusamyr region, Tien Shan: statistical and geotechnical approach, Landslides, 3, 39–50, 2006.
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, 2015.
Huang, J. S., Griffiths, D. V., and Fenton, G: Quantitative risk assessment of individual landslides. In: Proceedings of the 7th International Symposium on Geotechnical Safety and Risk, 12–13 December 2019, Taipei, Taiwan, 45–54, https://doi.org/10.3850/978-981-11-2725-0-key2-cd, 2020.
Huang, R., Pei, X., Fan, X., Zhang, W., Li, S., and Li, B.: The characteristics and failure mechanism of the largest landslide triggered by the Wenchuan earthquake, May 12, 2008, China, Landslides, 9, 131–142, 2012.
Jacobs, L., Dewitte, O., Poesen, J., Sekajugo, J., Nobile, A., Rossi, M., Thiery, W., and Kervyn, M.: Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains, Nat. Hazards Earth Syst. Sci., 18, 105–124, https://doi.org/10.5194/nhess-18-105-2018, 2018.
Jaiswal, P., van Westen, C. J., and Jetten, V.: Quantitative estimation of landslide risk from rapid debris slides on natural slopes in the Nilgiri hills, India, Nat. Hazards Earth Syst. Sci., 11, 1723–1743, https://doi.org/10.5194/nhess-11-1723-2011, 2011.
Kalmetieva, Z. A., Mikolaichuk, A. V., Moldobekov, B. D., Meleshko, A. V., Jantaev, M. M., Zubovich, A. V., and Havenith, H. B.: Atlas of earthquakes in Kyrgyzstan, in: CAIAG, Bishkek, vol. 76, ISBN 978-9967-25-829-7, 2009.
Kanungo, D., Arora, M., Sarkar, S., and Gupta, R.: Landslide Susceptibility Zonation (LSZ) Mapping – A Review, J. South Asia Disaster Stud., 2, 81–105, 2009.
Kavzoglu, T., Colkesen, I., and Sahin, E. K.: Machine Learning Techniques in Landslide Susceptibility Mapping: A Survey and a Case Study, in: Pradhan, S., Vishal, V., and Singh, T., Landslides: Theory, Practice and Modelling. Advances in Natural and Technological Hazards Research, vol. 50, Springer, Cham, https://doi.org/10.1007/978-3-319-77377-3_13, 2019.
Ko, C. K., Flentje, P., and Chowdhury, R.: Quantitative landslide hazard and risk assessment: a case study, Q. J. Eng. Geol. Hydroge., 36, 261–272, 2003.
Kreibich, H., Van Loon, A. F., Schröter, K., Ward, P. J., Mazzoleni, M., Sairam, N., Abeshu, G. W., Agafonova, S., AghaKouchak, A., and Aksoy, H.: The challenge of unprecedented floods and droughts in risk management, Nature, 608, 80–86, 2022.
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.
Lari, S., Frattini, P., and Crosta, G. B.: A probabilistic approach for landslide hazard analysis, Eng. Geol., 182, 3–14, 2014.
Lee, E. M. and Jones, D. K.: Landslide risk assessment, Thomas Telford, London, https://doi.org/10.1680/lra.66236.bm02, 2004.
Li, Z., Nadim, F., Huang, H., Uzielli, M., and Lacasse, S.: Quantitative vulnerability estimation for scenario-based landslide hazards, Landslides, 7, 125–134, https://doi.org/10.1007/s10346-009-0190-3, 2010.
Lindsay, E., Frauenfelder, R., Rüther, D., Nava, L., Rubensdotter, L., Strout, J., and Nordal, S.: Multi-temporal satellite image composites in google earth engine for improved landslide visibility: A case study of a glacial landscape, Remote Sens.-Basel, 14, 2301, https://doi.org/10.3390/rs14102301, 2022.
Lu, P., Catani, F., Tofani, V., and Casagli, N.: Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry, Landslides, 11, 685–696, https://doi.org/10.1007/s10346-013-0432-2, 2014.
Maes, J., Kervyn, M., de Hontheim, A., Dewitte, O., Jacobs, L., Mertens, K., Vanmaercke, M., Vranken, L., and Poesen, J.: Landslide risk reduction measures: A review of practices and challenges for the tropics, Prog. Phys. Geog., 41, 191–221, 2017.
Marin, R. J., Velásquez, M. F., García, E. F., Alvioli, M., and Aristizábal, E.: Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains, Catena, 206, 105563, https://doi.org/10.1016/j.catena.2021.105563, 2021.
Merghadi, A., Yunus, A. P., Dou, J., Whiteley, J., ThaiPham, B., Bui, D. T., Avtar, R., and Abderrahmane, B.: Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance, Earth-Sci. Rev., 207, 103225, https://doi.org/10.1016/j.earscirev.2020.103225, 2020.
Michael-Leiba, M., Baynes, F., Scott, G., and Granger, K.: Quantitative landslide risk assessment of Cairns, Australia, in: Glade, T., Anderson, M., and Crozier, M., Landslide Hazard and Risk, John Wiley & Sons, West Sussex, 621–642, https://doi.org/10.1002/9780470012659.ch21, 2005.
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.
Peduto, D., Ferlisi, S., Nicodemo, G., Reale, D., Pisciotta, G., and Gullà, G.: Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales, Landslides, 14, 1993–2007, 2017.
Pellicani, R., Van Westen, C. J., and Spilotro, G.: Assessing landslide exposure in areas with limited landslide information, Landslides, 11, 463–480, 2014.
Pereira, S., Santos, P. P., Zêzere, J. L., Tavares, A. O., Garcia, R. A. C., and Oliveira, S. C.: A landslide risk index for municipal land use planning in Portugal, Sci. Total Environ., 735, 139463, https://doi.org/10.1016/j.scitotenv.2020.139463, 2020.
Peres, D. J. and Cancelliere, A.: Comparing methods for determining landslide early warning thresholds: potential use of non-triggering rainfall for locations with scarce landslide data availability, Landslides, 18, 3135–3147, 2021.
Petley, D.: Global patterns of loss of life from landslides, Geology, 40, 927–930, 2012.
Petley, D. N., Hearn, G. J., Hart, A., Rosser, N. J., Dunning, S. A., Oven, K., and Mitchell, W. A.: Trends in landslide occurrence in Nepal, Nat. Hazards, 43, 23–44, 2007.
Piroton, V., Schlögel, R., Barbier, C., and Havenith, H.-B.: Monitoring the recent activity of landslides in the Mailuu-Suu Valley (Kyrgyzstan) using radar and optical remote sensing techniques, Geosciences, 10, 164, https://doi.org/10.3390/geosciences10050164, 2020.
Pittore, M., Haas, M., and Silva, V.: Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications, Earthq. Spectra, 36, 321–344, 2020.
Puissant, A., Van Den Eeckhaut, M., Malet, J.-P., and Maquaire, O.: Landslide consequence analysis: a region-scale indicator-based methodology, Landslides, 11, 843–858, 2014.
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.
Remondo, J., Bonachea, J., and Cendrero, A.: A statistical approach to landslide risk modelling at basin scale: from landslide susceptibility to quantitative risk assessment, Landslides, 2, 321–328, https://doi.org/10.1007/s10346-005-0016-x, 2005.
Remondo, J., Bonachea, J., and Cendrero, A.: Quantitative landslide risk assessment and mapping on the basis of recent occurrences, Geomorphology, 94, 496–507, 2008.
Rosi, A., Frodella, W., Nocentini, N., Caleca, F., Havenith, H. B., Strom, A., Saidov, M., Bimurzaev, G. A., and Tofani, V.: Comprehensive landslide susceptibility map of Central Asia, Nat. Hazards Earth Syst. Sci., 23, 2229–2250, https://doi.org/10.5194/nhess-23-2229-2023, 2023.
Saponaro, A., Pilz, M., Wieland, M., Bindi, D., Moldobekov, B., and Parolai, S.: Landslide susceptibility analysis in data-scarce regions: the case of Kyrgyzstan, B. Eng. Geol. Environ., 74, 1117–1136, 2015.
Scaini, C., Tamaro, A., Adilkhan, B., Sarzhanov, S., Ismailov, V., Umaraliev, R., Safarov, M., Belikov, V., Karayev, J., and Fagà, E.: A new regionally consistent exposure database for Central Asia: population and residential buildings, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-94, in review, 2023a.
Scaini, C., Tamaro, A., Adilkhan, B., Sarzhanov, S., Ergashev, Z., Umaraliev, R., Safarov, M., Belikov, V., Karayev, J., and Fagà, E.: A regional scale approach to assess non-residential buildings, transportation and croplands exposure in Central Asia, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-95, in review, 2023b.
Schuster, R. L. and Fleming, R. W.: Economic Losses and Fatalities Due to Landslides, Environ. Eng. Geosci., xxiii, 11–28, https://doi.org/10.2113/gseegeosci.xxiii.1.11, 1986.
Schuster, R. L. and Turner, A. K.: Landslides: investigation and mitigation, National Academy Press, Washington, DC, http://onlinepubs.trb.org/Onlinepubs/sr/sr247/sr247.pdf (last access: 3 January 2024), ISBN 0-309-06151-2, 1996.
Segoni, S. and Caleca, F.: Definition of Environmental Indicators for a Fast Estimation of Landslide Risk at National Scale, Land, 10, 621, https://doi.org/10.3390/land10060621, 2021.
Segoni, S., Piciullo, L., and Gariano, S. L.: A review of the recent literature on rainfall thresholds for landslide occurrence, Landslides, 15, 1483–1501, 2018.
Sim, K. B., Lee, M. L., and Wong, S. Y.: A review of landslide acceptable risk and tolerable risk, Geoenvironmental Disasters, 9, 3, https://doi.org/10.1186/s40677-022-00205-6, 2022.
Stanley, T. and Kirschbaum, D. B.: A heuristic approach to global landslide susceptibility mapping, Nat. Hazards, 87, 145–164, 2017.
Strom, A.: Landslide dams in Central Asia region, J. Jpn. Landslide Soc., 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: Advancing Culture of Living with Landslides, edited by: Sassa, K., Mikoš, M., and Yin, Y., WLF 2017, Springer, Cham, 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, ISBN 978-0-12-803204-6, 2018.
Taalab, K., Cheng, T., and Zhang, Y.: Mapping landslide susceptibility and types using Random Forest, Big Earth Data, 2, 159–178, 2018.
Thurman, M.: Natural disaster risks in Central Asia: a synthesis, Bratisl. Slovak. U. N. Dev. Programme, https://www.preventionweb.net/files/18945_cadisasterrisksmtd51104.pdf (last access: 3 January 2024), 2011.
Trifonov, V. G., Makarov, I. A., and Skobolev, S. F.: The Talas–Fergana active right-lateral fault, Ann. Tectonicae, 6, 224–237, 1992.
Trigila, A., Frattini, P., Casagli, N., Catani, F., Crosta, G., Esposito, C., Iadanza, C., Lagomarsino, D., Mugnozza, G. S., Segoni, S., Spizzichino, D., Tofani, V., and Lari, S.: Landslide Susceptibility Mapping at National Scale: The Italian Case Study, in: Landslide Science and Practice, vol. 1: Landslide Inventory and Susceptibility and Hazard Zoning, edited by: Margottini, C., Canuti, P., and Sassa, K., Springer Berlin Heidelberg, Berlin, Heidelberg, 287–295, https://doi.org/10.1007/978-3-642-31325-7_38, 2013.
Trigila, A., Iadanza, C., Bussettini, M., and Lastoria, B.: Landslides and floods in Italy: hazard and risk indicators, ISPRA Rapp., 287, 172, ISBN 978-88-448-0901-0, 2018.
Turner, A. K.: Social and environmental impacts of landslides, Innov. Infrastruct. Solut., 3, 1–25, 2018.
Uzielli, M., Nadim, F., Lacasse, S., and Kaynia, A. M.: A conceptual framework for quantitative estimation of physical vulnerability to landslides, Eng. Geol., 102, 251–256, https://doi.org/10.1016/j.enggeo.2008.03.011, 2008.
Uzielli, M., Catani, F., Tofani, V., and Casagli, N.: Risk analysis for the Ancona landslide – I: characterization of landslide kinematics, Landslides, 12, 69–82, 2015a.
Uzielli, M., Catani, F., Tofani, V., and Casagli, N.: Risk analysis for the Ancona landslide – II: estimation of risk to buildings, Landslides, 12, 83–100, 2015b.
van Westen, C. J., van Asch, T. W. J., and Soeters, R.: Landslide hazard and risk zonation – Why is it still so difficult?, B. Eng. Geol. Environ., 65, 167–184, https://doi.org/10.1007/s10064-005-0023-0, 2006.
Varnes, D. J. and IAEG Commission on Landslides: Landslide hazard zonation: a review of principles and practice, Unesco, Paris, ISBN 92-3-101895-7, 1984.
Wang, H. B., Wu, S. R., Shi, J. S., and Li, B.: Qualitative hazard and risk assessment of landslides: a practical framework for a case study in China, Nat. Hazards, 69, 1281–1294, 2013.
Windley, B. F., Allen, M. B., Zhang, C., Zhao, Z. Y., and Wang, G. R.: Paleozoic accretion and Cenozoic redeformation of the Chinese Tien Shan range, central Asia, Geology, 18, 128–131, 1990.
Youssef, A. M., Pourghasemi, H. R., Pourtaghi, Z. S., and Al-Katheeri, M. M.: Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia, Landslides, 13, 839–856, 2016.
Zêzere, J. L., Garcia, R. A. C., Oliveira, S. C., and Reis, E.: Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal), Geomorphology, 94, 467–495, 2008.
Short summary
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.
Landslide risk analysis is a powerful tool because it allows us to identify where physical and...
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