Articles | Volume 19, issue 3
https://doi.org/10.5194/nhess-19-697-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-697-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Apr 2019
Research article |
| 02 Apr 2019
| 02 Apr 2019
Event-based probabilistic risk assessment of livestock snow disasters in the Qinghai–Tibetan Plateau
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing 100875, China
Frederick S. Pardee Center for the Study of the Longer-Range Future, Boston University, Boston, 02215, USA
Weihang Liu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Geographic Science, East China Normal University, Shanghai 200241, China
Jidong Wu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing 100875, China
Yijia Li
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing 100875, China
Peijun Shi
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing 100875, China
Qiang Zhang
State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of
Environmental Change and Natural Disaster, Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing 100875, China
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Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
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This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-5, https://doi.org/10.5194/nhess-2024-5, 2024
Revised manuscript accepted for NHESS
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This study delves into 1) compounded impacts and 2) the dynamics of vulnerability within a multi-hazard context, proposing an Impact Chain-based framework that analyses the augmentation of vulnerability. The case study refers to the flood events and the COVID-19 pandemic that affected Romania (2020–2021). The Impact Chain shows that 1) the unforseen implications of impacts, 2) wrongful action of adaptation options, and 3) inaction can set the premises for increased vulnerability.
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
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We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-50, https://doi.org/10.5194/egusphere-2024-50, 2024
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In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results, which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Other as expected, the location – whether urban or rural – of the new home is less important as the safety from floods.
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.
Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 23, 3913–3930, https://doi.org/10.5194/nhess-23-3913-2023, https://doi.org/10.5194/nhess-23-3913-2023, 2023
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A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
Dong Qiu, Binglin Lv, Yuepeng Cui, and Zexiong Zhan
Nat. Hazards Earth Syst. Sci., 23, 3789–3803, https://doi.org/10.5194/nhess-23-3789-2023, https://doi.org/10.5194/nhess-23-3789-2023, 2023
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This paper divides preparedness behavior into minimal and adequate preparedness. In addition to studying the main factors that promote families' disaster preparedness, we also study the moderating effects of response efficacy and self-efficacy on preparedness actions by vulnerable families. Based on the findings of this study, policymakers can target interventions and programs that can be designed to remedy the current lack of disaster preparedness education for vulnerable families.
Jenni Barclay, Richie Robertson, and M. Teresa Armijos
Nat. Hazards Earth Syst. Sci., 23, 3603–3615, https://doi.org/10.5194/nhess-23-3603-2023, https://doi.org/10.5194/nhess-23-3603-2023, 2023
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Stories create avenues for sharing the meanings and social implications of scientific knowledge. We explore their value when told between scientists during a volcanic eruption. They are important vehicles for understanding how risk is generated during volcanic eruptions and create new knowledge about these interactions. Stories explore how risk is negotiated when scientific information is ambiguous or uncertain, identify cause and effect, and rationalize the emotional intensity of a crisis.
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
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This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
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This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-173, https://doi.org/10.5194/nhess-2023-173, 2023
Revised manuscript accepted for NHESS
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~820 km2 of agricultural land is inundated in central Greece due to storm Daniel flood. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimated more than 14,000 ornithoids and 21,500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
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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Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho-Chi-Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
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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Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
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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.
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Adelaide Cassia Nardocci, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Abdullah Konak, Nazmiye Balta-Ozkan, and Michael Jacobson
EGUsphere, https://doi.org/10.5194/egusphere-2023-2042, https://doi.org/10.5194/egusphere-2023-2042, 2023
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With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of the surveys, to help further research.
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.
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-81, https://doi.org/10.5194/nhess-2023-81, 2023
Revised manuscript accepted for NHESS
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Iranian insurers has been offering earthquake cover since 1990's. However, despite international best practices they do not still use modern methods for risk pricing and management. As such, they seem to continue accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practice with international best practices in earthquake risk pricing (catastrophe modelling) and insurance risk management (European Solvency II regime).
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.
Cited articles
Anderson, D., Davidson, R. A., Himoto, K., and Scawthorn, C.: Statistical
Modeling of Fire Occurrence Using Data from the Tōhoku, Japan Earthquake
and Tsunami, Risk Anal., 36, 378–395, https://doi.org/10.1111/risa.12455, 2016.
Bai, Y., Zhang, X., and Xu, P.: The Snow Disaster Risk Assessment of Animal
Husbandry in Qinghai Province, J. Qinghai Norm. Univers. (Nat. Sci.), 1, 71–77,
https://doi.org/10.16229/j.cnki.issn1001-7542.2011.01.004, 2011.
Basang, D., Barthel, K., and Olseth, J.: Satellite and Ground Observations of
Snow Cover in Tibet during 2001–2015, Remote Sens., 9, 1201, https://doi.org/10.3390/rs9111201, 2017.
Birkmann, J. and Welle, T.: The WorldRiskIndex 2016: Reveals the Necessity for
Regional Cooperation in Vulnerability Reduction, J. Extrem. Events, 03, 1650005,
https://doi.org/10.1142/S2345737616500056, 2016.
Carleton, T. A. and Hsiang, S. M.: Social and economic impacts of climate,
Science, 353, 6304, https://doi.org/10.1126/science.aad9837, 2016.
Chen, Y. Y., Yang, K., He, J., Qin, J., Shi, J., Du, J., and He, Q.: Improving
land surface temperature modeling for dry land of China, J. Geophys. Res.-Atmos.,
116, D20104, https://doi.org/10.1029/2011JD015921, 2011.
China Meteorological Administration: China Meteorological Disaster Yearbook (2004-2016),
Meteorological Press, Beijing, 2004–2016.
Deng, X., Barnett, B. J., and Vedenov, D. V.: Is There a Viable Market for
Area-Based Crop Insurance?, Am. J. Agric. Econ., 89, 508–519, https://doi.org/10.1111/j.1467-8276.2007.00975.x, 2007.
Department of Agricultural and Pastoral of Tibet Autonomous Region: Grassland
Resources and Ecological Statistical Data, China Agricultural Press, Beijing, 2011.
Diffenbaugh, N. S. and Giorgi, F.: Climate change hotspots in the CMIP5 global
limate model ensemble, Climatic Change, 114, 813–822, https://doi.org/10.1007/s10584-012-0570-x, 2012.
Dong, S. and Sherman, R.: Enhancing the resilience of coupled human and natural
systems of alpine rangelands on the Qinghai-Tibetan Plateau, Rangel. J., 37,
i–iii, https://doi.org/10.1071/RJ14117, 2015.
Duo, C., Xie, H., Wang, P., Guo, J., La, J., Qiu, Y., and Zheng, Z.: Snow cover
variation over the Tibetan Plateau from MODIS and comparison with ground
observations, J. Appl. Remote Sens., 8, 084690, https://doi.org/10.1117/1.JRS.8.084690, 2014.
Editorial Committee of Vegetation Map of China, C. A. of S. and Chinese Academy
of Science: Vegetation map of the People's Republic of China (1:1 000 000),
edited by: Zhang, X., Geological Press, Beijing, 2007.
Elith, J., Leathwick, J. R., and Hastie, T.: A working guide to boosted
regression trees, J. Anim. Ecol., 77, 802–813, https://doi.org/10.1111/j.1365-2656.2008.01390.x, 2008.
Fang, Y., Zhao, C., Ding, Y., Qin, D., and Huang, J.: Impacts of snow disaster
on meat production and adaptation?: an empirical analysis in the yellow river
source region, Sustain. Sci., 11, 249–260, https://doi.org/10.1007/s11625-015-0325-5, 2016.
FAO: Grassland of the World, Aavailable at: http://www.fao.org/docrep/008/y8344e/y8344e05.htm
and http://www.fao.org/docrep/008/y8344e/y8344e08.htm (last access: 28 March 2019), 2005.
Fernández-Giménez, M. E., Batkhishig, B., and Batbuyan, B.:
Cross-boundary and cross-level dynamics increase vulnerability to severe winter
disasters (dzud) in Mongolia, Global Environ. Change, 22, 836–851,
https://doi.org/10.1016/j.gloenvcha.2012.07.001, 2012.
Fernández-Giménez, M. E., Batkhishig, B., Batbuyan, B., and Ulambayar,
T.: Lessons from the Dzud: Community-Based Rangeland Management Increases the
Adaptive Capacity of Mongolian Herders to Winter Disasters, World Dev., 68,
48–65, https://doi.org/10.1016/j.worlddev.2014.11.015, 2015.
Gao, J.: Analysis and assessment of the risk of snow and freezing disaster in
China, Int. J. Disast. Risk Reduct., 19, 334–340, https://doi.org/10.1016/J.IJDRR.2016.09.007, 2016.
Gao, Q., Guo, Y., Xu, H., Ganjurjav, H., Li, Y., Wan, Y., Qin, X., Ma, X., and
Liu, S.: Climate change and its impacts on vegetation distribution and net
primary productivity of the alpine ecosystem in the Qinghai-Tibetan Plateau,
Sci. Total Environ., 554–555, 34–41, https://doi.org/10.1016/j.scitotenv.2016.02.131, 2016.
Gu, H., Yu, Z., Wang, J., Ju, Q., Yang, C., and Fan, C.: Climate change hotspots
identification in China through the CMIP5 global climate model ensemble, Adv.
Meteorol., 2014, 963196, https://doi.org/10.1155/2014/963196, 2014.
Hao, L., Wang, J., Man, S., and Yang, C.: Spatio-temporal change of snow
disaster and analysis of vulnerability of animal husbandry in China, J. Nat.
Disast., 11, 42–48, 2002.
Hastie, T., Tibshirani, R., and Friedman, J.: The Elements of Statistical
Learning, Elements, 1, 337–387, https://doi.org/10.1007/b94608, 2009.
He, J. and Yang, K.: China Meteorological Forcing Dataset, Cold Arid Reg. Sci.
Data Cent., Lanzhou, https://doi.org/10.3972/westdc.002.2014.db, 2011.
Hijmans, R. J., Phillips, S., Leathwick, J. R., and Elith, J.: Package “dismo”,
R Packag., available at: https://cran.r-project.org/web/packages/dismo/index.html
last access: 28 March 2019), 2017.
Jongman, B., Winsemius, H. C., Aerts, J. C. J. H., Coughlan de Perez, E.,
van Aalst, M. K., Kron, W., and Ward, P. J.: Declining vulnerability to river
floods and the global benefits of adaptation, P. Natl. Acad. Sci. USA, 112,
E2271-80, https://doi.org/10.1073/pnas.1414439112, 2015.
Kinoshita, Y., Tanoue, M., Watanabe, S., and Hirabayashi, Y.: Quantifying the
effect of autonomous adaptation to global river flood projections: application
to future flood risk assessments, Environ. Res. Lett., 13, 014006,
https://doi.org/10.1088/1748-9326/aa9401, 2018.
Kuang, X. and Jiao, J. J.: Review on climate change on the Tibetan Plateau
during the last half century, J. Geophys. Res.-Atmos., 121, 3979–4007,
https://doi.org/10.1002/2015JD024728, 2016.
Land Management Administration of Tibet Autonomous Region: Grassland Resources
in the Tibet Autonomous Region, Science Press, Beijing, 1994.
Li, F., Hou, G., E, C., Liu, Z., Jiang, Y., and Xi, Y.: Township unit-based
risk assessment of snowstorm hazard in Guoluo Prefecure of Qinghai Plateau,
J. Nat. Disast., 23, 141–148, 2014.
Li, Y., Ye, T., Liu, W., and Gao, Y.: Linking livestock snow disaster mortality
and environmental stressors in the Qinghai-Tibetan Plateau: Quantification based
on generalized additive models, Sci. Total Environ., 625, 87–95,
https://doi.org/10.1016/j.scitotenv.2017.12.230, 2018.
Liu, F., Mao, X., Zhang, Y., Chen, Q., Liu, P., and Zhao, Z.: Risk analysis of
snow disaster in the pastoral areas of the Qinghai-Tibet Plateau, J. Geogr. Sci.,
24, 411–426, https://doi.org/10.1007/s11442-014-1097-z, 2014.
Mechler, R., Hochrainer, S., Pflug, G., Lotsch, A., and Williges, K.: Assessing
the Financial Vulnerability to Climate-Related Natural Hazards, available at:
https://ssrn.com/abstract=1565993 (last access: 20 May 2018), 2010.
Michel-Kerjan, E. O. and Kousky, C.: Come Rain or Shine: Evidence on Flood
Insurance Purchases in Florida, J. Risk Insur., 77, 369–397, https://doi.org/10.1111/j.1539-6975.2009.01349.x, 2010.
Michel-Kerjan, E., Hochrainer-Stigler, S., Kunreuther, H., Linnerooth-Bayer,
J., Mechler, R., Muir-Wood, R., Ranger, N., Vaziri, P., and Young, M.:
Catastrophe risk models for evaluating disaster risk reduction investments in
developing countries, Risk Anal., 33, 984–999, https://doi.org/10.1111/j.1539-6924.2012.01928.x, 2013.
Miller, D. J.: The Tibetan Steppe, in: Grasslands of the World, edited by:
Suttie, J. M., Reynolds, S. G., and Batello, C.,Food and Agriculture Organization
of the United Nations, Rome, 305–341, available at: http://www.fao.org/docrep/008/y8344e/y8344e00.htm
(last access: 28 March 2019), 2005.
Muis, S., Güneralp, B., Jongman, B., Aerts, J. C. J. H., and Ward, P. J.:
Flood risk and adaptation strategies under climate change and urban expansion:
A probabilistic analysis using global data, Sci. Total Environ., 538, 445–457,
https://doi.org/10.1016/J.SCITOTENV.2015.08.068, 2015.
Mukund Palat, R., Nicole, K. D., Rosanne, D. D., Jerry, S., Baatarbileg, N.,
Caroline, L., Bradfield, L., Shih-Yu, W., and Oyunsanaa, B.: Dzuds, droughts,
and livestock mortality in Mongolia, Environ. Res. Lett., 10, 74012, https://doi.org/10.7916/d8q81d7s, 2015.
Nandintsetseg, B., Shinoda, M., Du, C., and Munkhjargal, E.: Cold-season
disasters on the Eurasian steppes: Climate-driven or man-made, Sci. Rep., 8,
14769, https://doi.org/10.1038/s41598-018-33046-1, 2018.
Oppel, S., Meirinho, A., Ramírez, I., Gardner, B., O'Connell, A. F., Miller,
P. I., and Louzao, M.: Comparison of five modelling techniques to predict the
spatial distribution and abundance of seabirds, Biol. Conserv., 156, 94–104,
https://doi.org/10.1016/J.BIOCON.2011.11.013, 2012.
Pang, G., Wang, X., and Yang, M.: Using the NDVI to identify variations in, and
responses of, vegetation to climate change on the Tibetan Plateau from 1982
to 2012, Quatern. Int., 444, 87–96, https://doi.org/10.1016/j.quaint.2016.08.038, 2017.
Qin, D., Zhang, J., Shan, C., and Song, L.: China national assessment report
on risk management and adaptation of climate extremes and disasters, Science
Press, Beijing, 2015.
Shang, Z. H., Gibb, M. J., and Long, R. J.: Effect of snow disasters on livestock
farming in some rangeland regions of China and mitigation strategies – A review,
Rangel. J., 34, 89–101, https://doi.org/10.1071/RJ11052, 2012.
Shi, P. (Ed.): Atlas of Natural Disaster Risk of China, Scientific Press, Beijing, 2011.
Shi, P. and Kasperson, R. E.: World Atlas of Natural Disaster Risk, Beijing
Normal University Press and Springer, Beijing, 2015.
Silverman, B.: Density estimation for statistics and data analysis, in:
Monographs on Statistics and Applied Probability, Chapman and Hall, London, 1986.
Sternberg, T.: Investigating the presumed causal links between drought and dzud
in Mongolia, Nat. Hazards, 92, 1–17, https://doi.org/10.1007/s11069-017-2848-9, 2017.
Tachiiri, K. and Shinoda, M.: Quantitative risk assessment for future
meteorological disasters: Reduced livestock mortality in Mongolia, Climatic
Change, 113, 867–882, https://doi.org/10.1007/s10584-011-0365-5, 2012.
Tachiiri, K., Shinoda, M., Klinkenberg, B., and Morinaga, Y.: Assessing
Mongolian snow disaster risk using livestock and satellite data, J. Arid Environ.,
72, 2251–2263, https://doi.org/10.1016/j.jaridenv.2008.06.015, 2008.
UNISDR: Sendai Framework for Disaster Risk Reduction 2015–2030, in: Third
World Conference on Disaster Risk Reduction, 14–18 March 2015, Sendai, Japan, 1–25, 2015.
Wang, H. H. and Zhang, H.: On the Possibility of a Private Crop Insurance Market:
A Spatial Statistics Approach, J. Risk Insur., 70, 111–124, https://doi.org/10.1111/1539-6975.00051, 2003.
Wang, J., Brown, D. G., and Agrawal, A.: Climate adaptation, local institutions,
and rural livelihoods: A comparative study of herder communities in Mongolia
and Inner Mongolia, China, Global Environ. Change, 23, 1673–1683,
https://doi.org/10.1016/j.gloenvcha.2013.08.014, 2013.
Wang, J., Wang, Y., and Wang, S.: Biophysical and socioeconomic drivers of the
dynamics in snow hazard impacts across scales and over heterogeneous landscape
in Northern Tibet, Nat. Hazards, 81, 1499–1514, https://doi.org/10.1007/s11069-015-2142-7, 2016.
Wang, W., Liang, T., Huang, X., Feng, Q., Xie, H., Liu, X., Chen, M., and Wang,
X.: Early warning of snow-caused disasters in pastoral areas on the Tibetan
Plateau, Nat. Hazards Earth Syst. Sci., 13, 1411–1425, https://doi.org/10.5194/nhess-13-1411-2013, 2013.
Wang, Y., Wang, J., Li, S., and Qin, D.: Vulnerability of the Tibetan pastoral
systems to climate and global change, Ecol. Soc., 19, 8, https://doi.org/10.5751/ES-06803-190408, 2014.
Wei, Y., Wang, S., Fang, Y., and Nawaz, Z.: Integrated assessment on the
vulnerability of animal husbandry to snow disasters under climate change in the
Qinghai-Tibetan Plateau, Global Planet. Change, 157, 139–152, https://doi.org/10.1016/j.gloplacha.2017.08.017, 2017.
Wen, K.: China meteorological disasters catalog (Qinghai, Tibet, Gansu, Xinjiang,
and Sichuan Volumes), Meteorological Press, Beijing, 2008.
Wu, J., Li, N., Yang, H., and Li, C.: Risk evaluation of heavy snow disasters
using BP artificial neural network: the case of Xilingol in Inner Mongolia,
Stoch. Environ. Res. Risk A., 22, 719–725, https://doi.org/10.1007/s00477-007-0181-7, 2007.
Xin, Y., Du, T., Xin, Y., Wu, A., and Lu, F.: The Evaluation of Carrying
Capacity of Grassland in Qinghai, Qinghai Prataculture, 20, 13–22, 2011.
Yang, K., He, J., Tang, W., Qin, J., and Cheng, C. C. K.: On downward shortwave
and longwave radiations over high altitude regions: Observation and modeling
in the Tibetan Plateau, Agr. Forest Meteorol., 150, 38–46, https://doi.org/10.1016/j.agrformet.2009.08.004, 2010.
Ye, T., Li, Y., Gao, Y., Wang, J., and Yi, M.: Designing index-based livestock
insurance for managing snow disaster risk in Eastern Inner Mongolia, China, Int.
J. Disast. Risk Reduct., 23, 160–168, https://doi.org/10.1016/j.ijdrr.2017.04.013, 2017.
Ye, T., Wu, J., Li, Y., and Gao, Y.: Designing index-based livestock insurance
for managing snow disaster risk in the central Qinghai–Tibetan Plateau,
Research Report Funded by the International Center for Collaborative Research
on Disaster Risk Reduction (ICCR-DRR), available at:
http://iccr-drr.bnu.edu.cn/wp-content/uploads/2016/12/Designing-index-based-livestock-insurance-for-managing-snow
(last access: 28 March 2019), 2018.
Ye, T., Li, Y., Liu, W., and Gao, Y.: Data set for analyzing livestock snow
disasters in the Qinghai–Tibetan Plateau, Data Brief, 23, 103809, https://doi.org/10.1016/j.dib.2019.103809, 2019.
Yeh, E. T., Nyima, Y., Hopping, K. A., and Klein, J. A.: Tibetan Pastoralists'
Vulnerability to Climate Change: A Political Ecology Analysis of Snowstorm
Coping Capacity, Hum. Ecol., 42, 61–74, https://doi.org/10.1007/s10745-013-9625-5, 2014.
Yin, H., Cao, C., Xu, M., Chen, W., Ni, X., and Chen, X.: Long-term snow
disasters during 1982–2012 in the Tibetan Plateau using satellite data,
Geomatics, Nat. Hazards Risk, 8, 466–477, https://doi.org/10.1080/19475705.2016.1238851, 2017.
You, Q., Kang, S., Ren, G., Fraedrich, K., Pepin, N., Yan, Y., and Ma, L.:
Observed changes in snow depth and number of snow days in the eastern and
central Tibetan Plateau, Clim. Res., 46, 171–183, https://doi.org/10.3354/cr00985, 2011.
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, https://doi.org/10.1007/s10346-015-0614-1, 2016.
Yuan, W., Xu, W., Ma, M., Chen, S., Liu, W., and Cui, L.: Improved snow cover
model in terrestrial ecosystem models over the Qinghai-Tibetan Plateau, Agr.
Forest Meteorol., 218–219, 161–170, https://doi.org/10.1016/j.agrformet.2015.12.004, 2016.
Zhang, Y. J., Zhang, X. Q., Wang, X. Y., Liu, N., and Kan, H. M.: Establishing
the carrying capacity of the grasslands of China: A review, Rangel. J., 36,
1–9, https://doi.org/10.1071/RJ13033, 2014.
Short summary
Livestock and their owners in the Qinghai–Tibetan Plateau has long suffered from snow disaster. In order to help the local herder community better prepare for potential loss, we developed a probabilistic disaster-event simulation approach, from which livestock loss induced by a snow disaster with specific intensity and local prevention capacity could be predicted. By using this method, we managed to estimate snow disaster duration, livestock loss rate, and number at different return periods.
Livestock and their owners in the Qinghai–Tibetan Plateau has long suffered from snow...
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