Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4631-2024
© 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-24-4631-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Dec 2024
Research article |
| 17 Dec 2024
| 17 Dec 2024
Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment
Elisabeth Schoepfer
CORRESPONDING AUTHOR
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Jörn Lauterjung
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
Torsten Riedlinger
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Harald Spahn
independent consultant: Apen, 26689, Germany
Juan Camilo Gómez Zapata
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
Institute for Geosciences, University of Potsdam, Potsdam, 14476, Germany
Christian D. León
DIALOGIK gGmbH, Stuttgart, 70176, Germany
Hugo Rosero-Velásquez
Engineering Risk Analysis Group, Technical University of Munich, Munich, 80333, Germany
Sven Harig
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, 27570, Germany
Michael Langbein
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Nils Brinckmann
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
Günter Strunz
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Christian Geiß
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Department of Geography, University of Bonn, Bonn, 53115, Germany
Hannes Taubenböck
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, 82234, Germany
Institute of Geography and Geology, University of Würzburg, Würzburg, 97074, Germany
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Our research presents a new method for determining warning levels for any hazard. Using risk matrices, our framework addresses issues found in other approaches. We provide examples to demonstrate how the approach works. A powerful method for evaluating warning accuracy is given, allowing for a cycle of continuous improvement in warning services. This research is relevant to a broad audience, from those who develop forecast systems to practitioners who issue or communicate warnings.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025, https://doi.org/10.5194/nhess-25-1013-2025, 2025
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated farmers' individual choices – like changing crops or digging wells – and their effects on profits, yields, and water resources. Results show these adaptations, while improving incomes, ultimately increase drought vulnerability and damage. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrological models in shaping policies to lessen drought impacts.
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
Nat. Hazards Earth Syst. Sci., 25, 879–891, https://doi.org/10.5194/nhess-25-879-2025, https://doi.org/10.5194/nhess-25-879-2025, 2025
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This study explores how social media, specifically Twitter (X), can help us understand public reactions to floods in Germany from 2014 to 2021. Using large language models, we extract topics and patterns of behavior from flood-related tweets. The findings offer insights to improve communication and disaster management. Topics related to low-impact flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events.
Fangyu Tian, Yun Su, Xudong Chen, and Le Tao
Nat. Hazards Earth Syst. Sci., 25, 591–607, https://doi.org/10.5194/nhess-25-591-2025, https://doi.org/10.5194/nhess-25-591-2025, 2025
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This study developed a model of extreme drought-induced famine processes and response mechanisms in ancient China. The spatial distribution of drought and famine during the Chenghua drought and the Wanli drought was constructed. By categorizing drought-affected counties into three types, a comparative analysis of the differences in famine severity and response effectiveness between the Chenghua and Wanli droughts was conducted.
Gabriele Bertoli, Chiara Arrighi, and Enrica Caporali
Nat. Hazards Earth Syst. Sci., 25, 565–580, https://doi.org/10.5194/nhess-25-565-2025, https://doi.org/10.5194/nhess-25-565-2025, 2025
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Environmental assets are crucial to sustaining and fulfilling life on Earth via ecosystem services (ESs). Studying their flood risk is thus seminal, in addition to being required by several norms. However, this field is not yet adequately developed. We studied the exposure component of flood risk and developed an evaluating methodology based on the ESs provided by environmental assets to discern assets and areas that are more important than others with metrics suitable to large-scale studies.
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu
Nat. Hazards Earth Syst. Sci., 25, 493–513, https://doi.org/10.5194/nhess-25-493-2025, https://doi.org/10.5194/nhess-25-493-2025, 2025
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Highway-blocking events are characterized by diurnal variation. A classification method of severity levels of highway blocking is catagorized into five levels. The severity levels of highway blocking due to high-impact weather are evaluated. A method for calculating the degree of highway load in China is proposed. A quantitative assessment of the losses of highway blocking due to dense fog is conducted. The highway losses caused by dense fog are concentrated in North, East, and Southwest China.
Thiago Dutra dos Santos and Taro Uchida
EGUsphere, https://doi.org/10.5194/egusphere-2024-2255, https://doi.org/10.5194/egusphere-2024-2255, 2025
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Five federal sediment-related disaster risk assessments have been conducted in Brazil, each with distinct objectives and methodologies. To evaluate their effectiveness and identify issues, we analyzed the methods, the outcome data, and reviewed the status of disaster prevention initiatives based on the assessment results. Our findings revealed persistent problems across all methods. Consequently, we recommended improvements to enhance their efficacy and reliability.
Alexandre Dunant, Tom R. Robinson, Alexander L. Densmore, Nick J. Rosser, Ragindra Man Rajbhandari, Mark Kincey, Sihan Li, Prem Raj Awasthi, Max Van Wyk de Vries, Ramesh Guragain, Erin Harvey, and Simon Dadson
Nat. Hazards Earth Syst. Sci., 25, 267–285, https://doi.org/10.5194/nhess-25-267-2025, https://doi.org/10.5194/nhess-25-267-2025, 2025
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Natural hazards like earthquakes often trigger other disasters, such as landslides, creating complex chains of impacts. We developed a risk model using a mathematical approach called hypergraphs to efficiently measure the impact of interconnected hazards. We showed that it can predict broad patterns of damage to buildings and roads from the 2015 Nepal earthquake. The model's efficiency allows it to generate multiple disaster scenarios, even at a national scale, to support preparedness plans.
Harikesan Baskaran, Ioanna Ioannou, Tiziana Rossetto, Jonas Cels, Mathis Joffrain, Nicolas Mortegoutte, Aurelie Fallon Saint-Lo, and Catalina Spataru
Nat. Hazards Earth Syst. Sci., 25, 49–76, https://doi.org/10.5194/nhess-25-49-2025, https://doi.org/10.5194/nhess-25-49-2025, 2025
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There is a global need for insuring green economy assets against natural hazard events. But their complexity and low exposure history mean the data required for vulnerability evaluation by the insurance industry are scarce. A systematic literature review is conducted in this study to determine the suitability of current published literature for this purpose. Knowledge gaps are charted, and a representative asset–hazard taxonomy is proposed to guide future quantitative research.
Neal Hughes, Donald Gaydon, Mihir Gupta, Andrew Schepen, Peter Tan, Geoffrey Brent, Andrew Turner, Sean Bellew, Wei Ying Soh, Christopher Sharman, Peter Taylor, John Carter, Dorine Bruget, Zvi Hochman, Ross Searle, Yong Song, Heidi Horan, Patrick Mitchell, Yacob Beletse, Dean Holzworth, Laura Guillory, Connor Brodie, Jonathon McComb, and Ramneek Singh
EGUsphere, https://doi.org/10.5194/egusphere-2024-3731, https://doi.org/10.5194/egusphere-2024-3731, 2024
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Droughts can impact agriculture and regional economies, and their severity is rising with climate change. Our research introduces a new system, the Australian Agricultural Drought Indicators (AADI), which measures droughts based on their effects on crops, livestock, and farm profits rather than traditional weather metrics. Using climate data and modelling, AADI predicts drought impacts more accurately, helping policymakers prepare and respond to financial and social challenges during droughts.
Gabriela Guimarães Nobre, Jamie Towner, Bernardino Nhantumbo, Célio João da Conceição Marcos Matuele, Isaias Raiva, Massimiliano Pasqui, Sara Quaresima, and Rogério Manuel Lemos Pereira Bonifácio
Nat. Hazards Earth Syst. Sci., 24, 4661–4682, https://doi.org/10.5194/nhess-24-4661-2024, https://doi.org/10.5194/nhess-24-4661-2024, 2024
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The
Ready, Set & Go!system, developed by the World Food Programme and partners, employs seasonal forecasts to tackle droughts in Mozambique. With the Maputo Declaration, efforts to expand early warning systems are aligning with global initiatives for universal protection by 2027. Through advanced forecasting and anticipatory action, it could cover 76 % of districts against severe droughts, reaching 87 % national coverage for the first months of the rainy season.
Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, and Bernd Resch
EGUsphere, https://doi.org/10.5194/egusphere-2024-3255, https://doi.org/10.5194/egusphere-2024-3255, 2024
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Our research explores how social media can help understand public responses to floods, focusing on the 2021 Western European flood. By analysing flood-related topics on social media, we found that conversations varied depending on the location and impact of the flood, with in-disaster concerns emerging in severely affected upstream areas and post-disaster discussions in less affected regions. This shows the potential of social media for better disaster coordination along border crossing rivers.
Luciano Pavesi, Elena Volpi, and Aldo Fiori
Nat. Hazards Earth Syst. Sci., 24, 4507–4522, https://doi.org/10.5194/nhess-24-4507-2024, https://doi.org/10.5194/nhess-24-4507-2024, 2024
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Several sources of uncertainty affect flood risk estimation for reliable assessment for investment, insurance and risk management. Here, we consider the uncertainty of large-scale flood hazard modeling, providing a range of risk values that show significant variability depending on geomorphic factors and land use types. This allows for identifying the critical points where single-value estimates may underestimate the risk and the areas of vulnerability for prioritizing risk reduction efforts.
Tzu-Hsin Karen Chen, Kuan-Hui Elaine Lin, Thung-Hong Lin, Gee-Yu Liu, Chin-Hsun Yeh, and Diana Maria Ceballos
Nat. Hazards Earth Syst. Sci., 24, 4457–4471, https://doi.org/10.5194/nhess-24-4457-2024, https://doi.org/10.5194/nhess-24-4457-2024, 2024
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This study shows migration patterns to be a critical factor in seismic fatalities. Analyzing the Chi-Chi earthquake in Taiwan, we find that lower income and a higher indigenous population at migrants' origins are correlated with higher fatalities at their destinations. This underscores the need for affordable and safe housing on the outskirts of megacities, where migrants from lower-income and historically marginalized groups are more likely to reside due to precarious employment conditions.
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 24, 4409–4429, https://doi.org/10.5194/nhess-24-4409-2024, https://doi.org/10.5194/nhess-24-4409-2024, 2024
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As sea levels rise, coastal areas will experience more frequent flooding, and salt water will start seeping into the soil, which is a serious issue for farmers who rely on good soil quality for their crops. Here, we studied coastal Mozambique to understand the risks from sea level rise and flooding by looking at how salt intrusion affects farming and how floods damage buildings. We find that 15 %–21 % of coastal households will adapt and 13 %–20 % will migrate to inland areas in the future.
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci., 24, 4369–4383, https://doi.org/10.5194/nhess-24-4369-2024, https://doi.org/10.5194/nhess-24-4369-2024, 2024
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This study provides an overview of the current status of climate change adaptation in plans for water management, spatial planning and landscape planning in the Spree river basin. Only 39 % of 28 plans analysed specify objectives and measures for adaptation to climate change. To fill this gap, more frequent updates of plans, a stronger focus on multifunctional measures, and the adaptation of best-practice examples for systematic integration of climate change impacts and adaptation are needed.
Laura T. Massano, Giorgia Fosser, Marco Gaetani, and Cécile Caillaud
Nat. Hazards Earth Syst. Sci., 24, 4293–4315, https://doi.org/10.5194/nhess-24-4293-2024, https://doi.org/10.5194/nhess-24-4293-2024, 2024
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Traditional wine-growing regions are threatened by expected climate change. Climate models and observations are used to calculate bioclimatic indices based on both temperature and precipitation. These indices are correlated with grape productivity in two wine-growing regions in Italy. This analysis paves the way for using climate models to study how climate change will affect wine production in the future.
María-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Freitas Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci., 24, 4267–4291, https://doi.org/10.5194/nhess-24-4267-2024, https://doi.org/10.5194/nhess-24-4267-2024, 2024
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The Central Volcanic Zone of the Andes (CVZA) spans four countries with 59 volcanoes. We identify those with the most intense and frequent eruptions and the highest potential impact that require risk mitigation actions. Using multiple risk factors, we encourage the use of regional volcanic risk assessments to analyse the level of preparedness especially of transboundary volcanoes. We hope that our work will motivate further collaborative studies and promote cooperation between CVZA countries.
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024, https://doi.org/10.5194/nhess-24-3851-2024, 2024
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Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
Nat. Hazards Earth Syst. Sci., 24, 3723–3753, https://doi.org/10.5194/nhess-24-3723-2024, https://doi.org/10.5194/nhess-24-3723-2024, 2024
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To integrate resilience assessment into practical management, this study designs a step-by-step guide that enables managers of critical infrastructure (CI) to create specific indicator systems tailored to real cases. This guide considers the consequences of hazards to CI and the cost–benefit analysis and side effects of implementable actions. The assessment results assist managers, as they are based on a multi-criterion framework that addresses several factors valued in practical management.
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
Nat. Hazards Earth Syst. Sci., 24, 3579–3595, https://doi.org/10.5194/nhess-24-3579-2024, https://doi.org/10.5194/nhess-24-3579-2024, 2024
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Natural disturbances are projected to intensify in the future, threatening our forests and their functions such as wood production, protection against natural hazards, and carbon sequestration. By assessing risks to forests from wind and fire damage, alongside the vulnerability of carbon, it is possible to prioritize forest stands at high risk. In this study, we propose a novel methodological approach to support climate-smart forest management and inform better decision-making.
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024, https://doi.org/10.5194/nhess-24-3497-2024, 2024
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The pile–slab retaining wall, an innovative rockfall shield, is widely used in China's western mountains. However, its dynamic impact response and resistance remain unclear due to structural complexity. A comprehensive dynamic analysis of the structure, under various impacts, was done using the finite-element method. The maximum impact energy that the structure can withstand is 905 kJ, and various indexes were obtained.
Tamir Grodek and Gerardo Benito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-171, https://doi.org/10.5194/nhess-2024-171, 2024
Revised manuscript accepted for NHESS
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Check dams, terraces, and trees on steep basins serve to retain sediments, thereby protecting urbanized alluvial fan canals and levees from flooding. However, their effectiveness gradually decreases over time due to sedimentation and aging, which may lead to catastrophic breaching floods. To enhance urban resilience, we propose preserving natural mountain basins and allocating 20–30 % of the alluvial fan for channel migration and sediment deposition corridors.
Jamir Priesner, Boris Sakschewski, Maik Billing, Werner von Bloh, Sebastian Fiedler, Sarah Bereswill, Kirsten Thonicke, and Britta Tietjen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3066, https://doi.org/10.5194/egusphere-2024-3066, 2024
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Our simulations suggest that increased drought frequencies lead to a drastic reduction in biomass in pine monoculture and mixed forest. Mixed forest eventually recovered, as long as drought frequencies was not too high. The higher resilience of mixed forests was due to higher adaptive capacity. After adaptation mixed forests were mainly composed of smaller, broad-leaved trees with higher wood density and slower growth.This would have strong implications for forestry and other ecosystem services.
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024, https://doi.org/10.5194/nhess-24-3299-2024, 2024
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We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The impacts of the disaster were largely associated with rapid urban expansion over the last 3 decades, with a recent occupation of risky areas. Moreover, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
Elin Stenfors, Malgorzata Blicharska, Thomas Grabs, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2726, https://doi.org/10.5194/egusphere-2024-2726, 2024
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Utilizing a survey including respondents from seven societal sectors, the role of water dependency for drought vulnerability was explored. Differences were found in the perceived impact of vulnerability factors on drought risk in relation to water dependency (i.e., dependency on either soil moisture, or groundwater and surface water). The results highlight the importance of accounting for water dependency, and to clearly define the drought hazard, in drought vulnerability or risk assessments.
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024, https://doi.org/10.5194/nhess-24-2895-2024, 2024
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This study delves into the dynamics of vulnerability within a multi-hazard context, proposing an enhanced 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 unforeseen implications of impacts, (2) the wrongful action of adaptation options, and (3) inaction can form the basis for increased vulnerability.
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, https://doi.org/10.5194/nhess-24-2837-2024, 2024
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Despite the visible flood damage, mental health is a growing concern. Yet, there is limited data in Germany on mental health impacts after floods. A survey in a heavily affected region revealed that 28 % of respondents showed signs of post-traumatic stress disorder 1 year later. Risk factors include gender, serious injury or illness due to flooding, and feeling left alone to cope with impacts. The study highlights the need for tailored mental health support for flood-affected populations.
Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan Kropf, Viktor Wattin Hakansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-135, https://doi.org/10.5194/nhess-2024-135, 2024
Revised manuscript accepted for NHESS
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With the increasing negative impacts of extreme weather events globally, it's crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2024-2340, https://doi.org/10.5194/egusphere-2024-2340, 2024
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Many households in Vietnam depend on revenues from microbusinesses (shop-houses). However, losses caused by regular flooding to the microbusinesses are not modelled. Business turnover, building age and water depth are found to be the main drivers of flood losses to microbusinesses. We built and validated probabilistic models (Non-parametric Bayesian Networks) that estimate flood losses to microbusinesses. The results help in flood risk management and adaption decision making for microbusinesses.
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
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Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
Pujun Liang, Jie Yin, Dandan Wang, Yi Lu, Yuhan Yang, Dan Gao, and Jianfeng Mai
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-88, https://doi.org/10.5194/nhess-2024-88, 2024
Revised manuscript accepted for NHESS
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Addressing coastal city flood risks, this article examines relief logistics planning, employing a GIS-network analysis and optimization model to minimize costs and dissatisfaction. The investigation, grounded in Shanghai's emergency infrastructure and flood relief logistics framework, presents feasible distribution strategies. Meanwhile, the case study indicates that the supply levels of Emergency Flood Shelters and Emergency Reserve Warehouses vary in different coastal flood scenarios.
Silvia De Angeli, Lorenzo Villani, Giulio Castelli, Maria Rusca, Giorgio Boni, Elena Bresci, and Luigi Piemontese
EGUsphere, https://doi.org/10.5194/egusphere-2024-2207, https://doi.org/10.5194/egusphere-2024-2207, 2024
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Despite droughts are deeply intertwined within sociohydrological systems, traditional top-down approaches often ignore those directly affected. By integrating insights from five research fields, we present a framework to guide the co-creation of knowledge for drought impact assessment. Emphasizing social dynamics and power imbalances, the framework guides a more inclusive approach to drought assessment and adaptation.
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
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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.
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
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About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. 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 estimate that 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.
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 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. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
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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 surveys to help further research.
Nimra Iqbal, Marvin Ravan, Zina Mitraka, Joern Birkmann, Sue Grimmond, Denise Hertwig, Nektarios Chrysoulakis, Giorgos Somarakis, and Angela Wendnagel-Beck
EGUsphere, https://doi.org/10.5194/egusphere-2024-1907, https://doi.org/10.5194/egusphere-2024-1907, 2024
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This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age, income) and adaptive capacities (e.g. green, shaded spaces) are coupled with urban structures. The results show that perceived heat stress decreases with distance from urban center, however, human vulnerability and adaptive capacities depend stronger on inner-variations and differences between urban structures. Planning policies and adaptation strategies should account for these differences.
Cited articles
Aguilar, Z., Lazares, F., Alarcon, S., Quispe, S., Uriarte, R., and Calderon, D.: Actualización de la Microzonificación Sísmica de la ciudad de Lima, International Symposium for CISMID 25th Anniversary 17–18 August, 2012, Lima, Peru, 2013.
Allen, T. I. and Wald, D. J.: Topographic Slope as a Proxy for Seismic Site-Conditions (VS30) and Amplification Around the Globe, Open-File Report, Geological Survey (U. S.), https://doi.org/10.3133/ofr20071357, 2007.
Androsov, A., Harig, S., Zamora, N., Knauer, K., and Rakowsky, N.: Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima and Callao, Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024, 2024.
Aravena Pelizari, P., Geiß, C., Aguirre, P., Santa María, H., Merino Peña, Y., and Taubenböck, H.: Automated building characterization for seismic risk assessment using street-level imagery and deep learning, ISPRS J. Photogramm., 180, 370–386, https://doi.org/10.1016/j.isprsjprs.2021.07.004, 2021.
Aristizábal, C., Bard, P.-Y., Beauval, C., and Gómez, J. C.: Integration of Site Effects into Probabilistic Seismic Hazard Assessment (PSHA): A Comparison between Two Fully Probabilistic Methods on the Euroseistest Site, Geosciences, 8, 285, https://doi.org/10.3390/geosciences8080285, 2018.
Bano, M. and Zowghi, D.: A Systematic Review on the Relationship between User Involvement and System Success, Inform. Software Tech., 58, 148–169, https://doi.org/10.1016/j.infsof.2014.06.011, 2014.
Bano, M., Zowghi, D., and da Rimini, F.: User Satisfaction and System Success: An Empirical Exploration of User Involvement in Software Development, Empir. Softw. Eng., 22, 2339–2372, https://doi.org/10.1007/s10664-016-9465-1, 2017.
Barquet, K., Englund, M., Inga, K., André, K., and Segnestam, L.: Conceptualizing Multiple Hazards and Cascading Effects on Critical Infrastructures, Disasters, 48, e12591, https://doi.org/10.1111/disa.12591, 2023.
Brinckmann, N., Pittore, M., Rüster, M., Proß, B., and Gomez-Zapata, J. C.: Put your models in the web – less painful, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8671, https://doi.org/10.5194/egusphere-egu2020-8671, 2020.
Brinckmann, N., Gomez-Zapata, J. C., Pittore, M., and Rüster, M.: DEUS: Damage-Exposure-Update-Service. V. 1.0, GFZ Data Services [code], https://doi.org/10.5880/riesgos.2021.011, 2021.
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., and von Winterfeldt, D.: A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities, Earthq. Spectra, 19, 733–752, https://doi.org/10.1193/1.1623497, 2003.
Cardona, O. D., Ordaz, M. G., Reinoso, E., Yamín, L. E., and Barbat, A. H.: CAPRA – Comprehensive Approach to Probabilistic Risk Assessment: International Initiative for Risk Management Effectiveness, in: 15th World Conference on Earthquake Engineering, Lisbon, Portugal, 24–28 September 2012, https://www.researchgate.net/publication/259598259 (last access: 5 December 2024), 2012.
Ceferino, L., Kiremidjian, A., and Deierlein, G.: Regional Multiseverity Casualty Estimation Due to Building Damage following a Mw 8.8 Earthquake Scenario in Lima, Peru, Earthq. Spectra, 34, 1739–1761, https://doi.org/10.1193/080617EQS154M, 2018.
CENEPRED: Escenario de riesgo por sismo y tsunami para Lima Metropolitana y la provincia constitucional del Callao, https://dimse.cenepred.gob.pe/er/sismos/ESCENARIO-SISMO-TSUNAMI-LIMA-CALLAO.pdf (last access: 20 May 2024), 2017.
CERESIS: Catalogue for South America and the Caribbean prepared in the framework of GSHAP, Lima, Peru, http://www.seismo.ethz.ch/static/gshap/ceresis (last access: 6 December 2024), 1995.
Chiu, G. L. F. and Chock, G. Y. K.: Multihazard Performance Based Objective Design for Managing Natural Hazards Damage, IFAC Proceedings Volumes, 31, 159–164, https://doi.org/10.1016/S1474-6670(17)38490-2, 1998.
Ciurean, R., Gill, J., Reeves, H.J., O'Grady, S., Aldridge, T., Donald, K., Banks, V., Dankers, R., and Cole, S.: Review of multi-hazards research and risk assessments: British Geological Survey Open Report, OR/18/057, 86 pp., https://nora.nerc.ac.uk/id/eprint/524399/1/OR18057.pdf (last access: 6 December 2024), 2018.
COES: Portal Web del COES, https://www.coes.org.pe/portal/ (last access: 20 May 2024), 2019.
Cremen, G., Galasso, C., and McCloskey, J.: Modelling and quantifying tomorrow's risks from natural hazards, Sci. Total Environ., 817, 152552, https://doi.org/10.1016/j.scitotenv.2021.152552, 2022.
Crucitti, P., Latora, V., and Marchiori, M.: Model for cascading failures in complex networks, Phys. Rev. E, 69, 045104, https://doi.org/10.1103/PhysRevE.69.045104, 2004.
Curt, C.: Multirisk: What trends in recent works? – A bibliometric analysis, Sci. Total Environ., 763, 142951, https://doi.org/10.1016/j.scitotenv.2020.142951, 2021.
De Angeli, S., Malamud, B. D., Rossi, L., Taylor, F. E., Trasforini, E., and Rudari, R.: A multi-hazard framework for spatial-temporal impact analysis, Int. J. Disast. Risk Re., 73, 102829, https://doi.org/10.1016/j.ijdrr.2022.102829, 2022.
De Pippo, T., Donadio, C., Pennetta, M., Petrosino, C., Terlizzi, F., and Valente, A.: Coastal hazard assessment and mapping in Northern Campania, Italy, Geomorphology, 97, 451–466, https://doi.org/10.1016/j.geomorph.2007.08.015, 2008.
European Commission: DRMKC Disaster Risk Management Knowledge Centre, https://drmkc.jrc.ec.europa.eu/ (last access: 20 May 2024), 2023.
European Commission: Ethics in Social Science and Humanities, https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ethics-in-social-science-and-humanities_he_en.pdf (last access: 20 May 2024), 2021.
EEA: Europe's changing climate hazards – an index-based interactive EEA report, https://www.eea.europa.eu/publications/europes-changing-climate-hazards-1 (last access: 20 May 2024), 2021.
Ferrario, E., Poulos, A., Castro, S., Llera, J. C. de la, and Lorca, A.: Predictive capacity of topological measures in evaluating seismic risk and resilience of electric power networks, Reliab. Eng. Syst. Safe., 217, 108040, https://doi.org/10.1016/j.ress.2021.108040, 2022.
Fitz Simons, L. N.: Multi-Hazard Assessment of Localities and Sites, in: Protecting Historic Architecture and Museum Collections from Natural Disasters, edited by: Jones, B. G., Butterworth-Heinemann, 119–129, https://doi.org/10.1016/B978-0-409-90035-4.50014-5, 1986.
FEMA: HAZUS® MH Risk Assessment and User Group Series, Using HAZUS-MH for Risk Assessment, How-to Guide, 2004, https://www.fema.gov/pdf/plan/prevent/hazus/fema433.pdf (last access: 20 May 2024), 2004.
FEMA: HAZUS®MH MR4 Technical Manual, Multi-hazard Loss Estimation Methodology, Earthquake model, Department of Homeland Security, Emergency Preparedness and Response Directorate FEMA, https://de.scribd.com/document/281758929/Hazus-Mr4-Earthquake-Tech-Manual (last access: 6 December 2024), 2003.
FIUBA: Estudio del evento ocurrido el 16 de junio de 2019 en instalaciones del SADI, Comportamiento de los agentes del Mercado en el evento, Informe final, Buenos Aires: Universidad de Buenos Aires, Facultad de Ingeniería, Departamento de Energía, 236 pp., https://www.enre.gov.ar/web/bibliotd.nsf/203df3042bad9c40032578f6004ed613/d50f985c66ad65cd032586d9004ccbd1/$FILE/INFORME_FIUBA-version2%20rev26.pdf (last access: 6 December 2024), 2020.
Frigerio, S. and Westen, C. J.: RiskCity and WebRiskCity: Data Collection, Display, and Dissemination in a Multi-Risk Training Package, Cartogr. Geogr. Inf. Sc., 37, 119–135, https://doi.org/10.1559/152304010791232190, 2010.
Frimberger, T., Andrade, S. D., Weber, S., and Krautblatter, M.: Modelling future lahars controlled by different volcanic eruption scenarios at Cotopaxi (Ecuador) calibrated with the massively destructive 1877 lahar, Earth Surf. Proc. Land., 46, 680–700, https://doi.org/10.1002/esp.5056, 2021.
Fuchs, S., Frazier, T., and Siebeneck, L.: Physical Vulnerability: Vulnerability and Resilience to Natural Hazards, edited by: Fuchs, S. and Thaler, T., Cambridge University Press, https://doi.org/10.1017/9781316651148, 2018.
Gallina, V., Torresan, S., Critto, A., Sperotto, A., Glade, T., and Marcomini, A.: A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment, J. Environ. Manage., 168, 123–132, https://doi.org/10.1016/j.jenvman.2015.11.011, 2016.
Geiß, C. and Taubenböck, H.: Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap, Nat. Hazards, 68, 7–48, https://doi.org/10.1007/s11069-012-0322-2, 2013.
Geiß, C., Taubenböck, H., Tyagunov, S., Tisch, A., Post, J., and Lakes, T.: Assessment of Seismic Building Vulnerability from Space, Earthq. Spectra, 30, 1553–1583, https://doi.org/10.1193/121812EQS350M, 2014.
Geiß, C., Aravena Pelizari, P., Marconcini, M., Sengara, W., Edwards, M., Lakes, T., and Taubenböck, H.: Estimation of seismic building structural types using multi-sensor remote sensing and machine learning techniques, ISPRS J. Photogramm., 104, 175–188, https://doi.org/10.1016/j.isprsjprs.2014.07.016, 2015.
Geiß, C., Thoma, M., Pittore, M., Wieland, M., Dech, S. W., and Taubenböck, H.: Multitask Active Learning for Characterization of Built Environments with Multisensor Earth Observation Data, IEEE J. Sel. Top. Appl., 10, 5583–5597, https://doi.org/10.1109/JSTARS.2017.2748339, 2017.
Geiß, C., Pelizari, P., Bauer, S., Schmitt, A., and Taubenböck, H.: Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM, in: IEEE Geoscience and Remote Sensing Letters, vol. 17, 456–460, https://doi.org/10.1109/LGRS.2019.2921600, 2019.
Geiß, C., Priesmeier, P., Aravena Pelizari, P., Soto Calderon, A. R., Schoepfer, E., Riedlinger, T., Villar Vega, M., Santa María, H., Gómez Zapata, J. C., Pittore, M., So, E., Fekete, A., and Taubenböck, H.: Benefits of global earth observation missions for disaggregation of exposure data and earthquake loss modeling: evidence from Santiago de Chile, Nat. Hazards, 119, 779–804, https://doi.org/10.1007/s11069-022-05672-6, 2022.
GEM: Report on the SARA Exposure and Vulnerability Workshop in Medellín, Report produced in the context of the GEM South America integrated Risk Assessment (SARA) project No. Version 1.0-May 2014, Colombia, 2014.
GEM Secretariat: South America Risk Assessment (SARA) Final Report 2015, Version 1.0., December 2015. SARA Project, https://cloud-storage.globalquakemodel.org/public/wix-new-website/pdf-collections-wix/publications/SARA%20Final%20Report_Exec%20Summary.pdf (last access: 20 May 2024), 2015.
Greiving, S., Fleischhauer, M., León, C. D., Schödl, L., Wachinger, G., Quintana Miralles, I. K., and Prado Larraín, B.: Participatory Assessment of Multi Risks in Urban Regions – The Case of Critical Infrastructures in Metropolitan Lima, Sustainability, 13, 2813, https://doi.org/10.3390/su13052813, 2021.
Gill, J. C. and Malamud, B. D.: Reviewing and visualizing the interactions of natural hazards, 52, 680–722, https://doi.org/10.1002/2013RG000445, 2014.
Gill, J. C. and Malamud, B. D.: Hazard interactions and interaction networks (cascades) within multi-hazard methodologies, Earth Syst. Dynam., 7, 659–679, https://doi.org/10.5194/esd-7-659-2016, 2016.
Gill, J. C. and Malamud, B. D.: Anthropogenic processes, natural hazards, and interactions in a multi-hazard framework, Earth-Sci. Rev., 166, 246–269, https://doi.org/10.1016/j.earscirev.2017.01.002, 2017.
Gill, J. C., Malamud, B. D., Barillas, E. M., and Guerra Noriega, A.: Construction of regional multi-hazard interaction frameworks, with an application to Guatemala, Nat. Hazards Earth Syst. Sci., 20, 149–180, https://doi.org/10.5194/nhess-20-149-2020, 2020.
Goda, K. and De Risi, R.: Future perspectives of earthquake-tsunami catastrophe modelling: From single-hazards to cascading and compounding multi-hazards, Front. Built Environ., 8, https://doi.org/10.3389/fbuil.2022.1022736, 2023.
Gómez Zapata, J. C. and Pittore, M.: Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics, GFZ Data Services [data set], https://doi.org/10.5880/riesgos.2022.003, 2022.
Gómez Zapata, J. C., Parrado, C., Frimberger, T., Barragán-Ochoa, F., Brill, F., Büche, K., Krautblatter, M., Langbein, M., Pittore, M., Rosero-Velásquez, H., Schoepfer, E., Spahn, H., and Zapata-Tapia, C.: Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador, Sustainability, 13, 1714, https://doi.org/10.3390/su13041714, 2021a.
Gomez-Zapata, J. C., Brinckmann, N., Harig, S., Zafrir, R., Pittore, M., Cotton, F., and Babeyko, A.: Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru, Nat. Hazards Earth Syst. Sci., 21, 3599–3628, https://doi.org/10.5194/nhess-21-3599-2021, 2021b.
Gómez Zapata, J. C., Cotton, F., and Brinckmann, N.: Seismic ground motion fields for six deterministic earthquake scenarios (Mw 8.5-9.0) for Lima (Peru), GFZ Data Services [data set], https://doi.org/10.5880/riesgos.2021.008, 2021c.
Gómez Zapata, J. C., Shinde, S., Pittore, M., and Merino-Peña, Y.: Scripts to generate (1) attribute-based fuzzy scores for SARA and HAZUS building classes, and (2) probabilistic inter-scheme compatibility matrices. An application on the residential building stock of Valparaiso (Chile) for seismic risk applications, GFZ Data Services [code], https://doi.org/10.5880/riesgos.2021.002, 2021d.
Gómez Zapata, J. C., Zafrir, R., Harig, S., and Pittore, M.: Customised focus maps and resultant CVT-based aggregation entities for Lima and Callao (Peru), V. 1.0, GFZ Data Services [data], https://doi.org/10.5880/riesgos.2021.006 (last access: 6 December 2024), 2021e.
Gómez Zapata, J. C., Zafrir, R., Brinckmann, N., and Pittore, M.: Residential building exposure and physical vulnerability models for ground-shaking and tsunami risk in Lima and Callao (Peru), V. 1.0, GFZ Data Services [data], https://doi.org/10.5880/riesgos.2021.007, 2021f.
Gómez Zapata, J. C., Pittore, M., Cotton, F., Lilienkamp, H., Shinde, S., Aguirre, P., and Santa María, H.: Epistemic uncertainty of probabilistic building exposure compositions in scenario-based earthquake loss models, B. Earthq. Eng., 20, 2401–2438, https://doi.org/10.1007/s10518-021-01312-9, 2022a.
Gómez Zapata, J. C., Zafrir, R., Pittore, M., and Merino, Y.: Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions, ISPRS Int. Geo-Inf., 11, 113, https://doi.org/10.3390/ijgi11020113, 2022b.
Gómez Zapata, J. C., Medina, S., and Lizarazo-Marriaga, J.: Creation of simplified state-dependent fragility functions through ad-hoc scaling factors to account for previous damage in a multi-hazard risk context. An application to flow-depth-based analytical tsunami fragility functions for the Pacific coast of South America, GFZ Data Service [data set], https://doi.org/10.5880/riesgos.2022.002, 2022c.
Gómez Zapata, J. C., Pittore, M., Brinckmann, N., Lizarazo-Marriaga, J., Medina, S., Tarque, N., and Cotton, F.: Scenario-based multi-risk assessment from existing single-hazard vulnerability models. An application to consecutive earthquakes and tsunamis in Lima, Peru, Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, 2023.
Gomillion, D. L.: The Co-Creation of Information Systems, PhD thesis, Florida State University, USA, http://purl.flvc.org/fsu/fd/FSU_migr_etd-7396 (last access: 6 December 2024), 2013.
Gould, J. D. and Lewis, C.: Designing for usability: key principles and what designers think, Commun. ACM, 28, 300–311, https://doi.org/10.1145/3166.3170, 1985.
Granger, K., Jones, T., Leiba, M., and Scott, G.: Community risk in Cairns: A multi-hazard risk assessment, Australian Journal of Emergency Management, 14, 29–30, 1999.
Giuliani, G. and Peduzzi, P.: The PREVIEW Global Risk Data Platform: a geoportal to serve and share global data on risk to natural hazards, Nat. Hazards Earth Syst. Sci., 11, 53–66, https://doi.org/10.5194/nhess-11-53-2011, 2011.
Harig, S. and Rakowsky, N.: Tsunami flow depth in Lima/Callao (Peru) caused by six hypothetical simplified tsunami scenarios offshore Lima, GFZ Data Services [data set], https://doi.org/10.5880/riesgos.2021.010, 2021.
Harig, S., Chaeroni, Pranowo, W. S., and Behrens, J.: Tsunami simulations on several scales, Ocean Dynam., 58, 429–440, https://doi.org/10.1007/s10236-008-0162-5, 2008.
Harig, S., Immerz, A., Weniza, Griffin, J., Weber, B., Babeyko, A., Rakowsky, N., Hartanto, D., Nurokhim, A., Handayani, T., and Weber, R.: The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches, Pure Appl. Geophys., 177, 1379–1401, https://doi.org/10.1007/s00024-019-02305-1, 2020.
Harig, S., Zamora, N., Androsov, A., and Knauer, K.: Tsunami flow depth in Lima/Callao caused by a historic event for varying bottom roughness simulated with the models Tsunami-HySEA and TsunAWI, GFZ Data Services [data set], https://doi.org/10.5880/riesgos.2024.001, 2024.
He, J. and King, W.: The Role of User Participation in Information Systems Development: Implications from a Meta-Analysis, J. Manage. Inform. Syst., 25, 301–331, https://doi.org/10.2753/MIS0742-1222250111, 2008.
Hernandez-Fajardo, I. and Dueñas-Osorio, L.: Probabilistic study of cascading failures in complex interdependent lifeline systems, Reliab. Eng. Syst. Safe., 111, 260–272, https://doi.org/10.1016/j.ress.2012.10.012, 2013.
Hochrainer-Stigler, S., Šakić Trogrlić, R., Reiter, K., Ward, P. J., de Ruiter, M. C., Duncan, M. J., Torresan, S., Ciurean, R., Mysiak, J., Stuparu, D., and Gottardo, S.: Toward a framework for systemic multi-hazard and multi-risk assessment and management, iScience, 26, 106736, https://doi.org/10.1016/j.isci.2023.106736, 2023.
Hossain, S., Spurway, K., Zwi, A. B., Huq, N. L., Mamun, R., Islam, R., Nowrin, I., Ether, S., Bonnitcha, J., Dahal, N., and Adams, A. M.: What is the impact of urbanisation on risk of, and vulnerability to, natural disasters? What are the effective approaches for reducing exposure of urban population to disaster risks? London: EPPI Centre, Social Science Research Unit, UCL Institute of Education, University College London, https://eppi.ioe.ac.uk/cms/Default.aspx?tabid=3707 (last access: 20 May 2024), 2017.
INDECI: Escenario sísmico para Lima Metropolitana y Callao: Sismo 8.8 Mw, CEPIG, https://portal.indeci.gob.pe/wp-content/uploads/2019/01/201711231521471-1.pdf, last access: 20 May 2024), 2017.
INDECI: Compendio estadístico del INDECI 2020. En la Preparación, Respuesta y Rehabilitiación de la GRD. Información estadística de emergencias y danos, period 2003 al 2019, https://cdn.www.gob.pe/uploads/document/file/1689973/CAPITULO%20III.%20Estad%C3%ADstica%20Series%202003-2019.pdf?v=1614182435 (last access: 20 May 2024), 2020.
INEI: Censos Nacionales 2017, Instituto Nacional de Estadistica e Informatica (INEI; Institute of Statistic and Informatics), Lima, Peru, 2017.
INEI: Sistema estadístico nacional: Perú Compendio Estadístico 2022, https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1872/COMPENDIO2022.html (last access: 20 May 2024), 2022.
Intergovernmental Oceanographic Commission: Tsunami Glossary, Fourth Edition, Paris, UNESCO, IOC Technical Series, 85, (English, French, Spanish, Arabic, Chinese), IOC/2008/TS/85 rev.4, https://unesdoc.unesco.org/ark:/48223/pf0000188226?posInSet=1&queryId=aeb846ae-edfb-4d66-a03a-385a5d5897f0 (last access: 6 December 2024), 2019.
Jarke, M., Bui, T., and Carroll, J.: Scenario Management: An Interdisciplinary Approach, Requir. Eng., 3, 155–173, https://doi.org/10.1007/s007660050002, 1998.
Jimenez, C., Moggiano, N., Mas, E., Adriano, B., Koshimura, S., Fujii, Y., and Yanagisawa, H.: Seismic Source of 1746 Callao Earthquake from Tsunami Numerical Modeling, Journal of Disaster Research, 8, 266–273, 2013.
Joint Research Centre (European Commission), Luoni, S., Antofie, T. E., Eklund, L. G., and Marín Ferrer, M.: Update of risk data hub software and data architecture: software solutions for disaster risk management, Publications Office of the European Union, LU, https://doi.org/10.2760/798003, 2020.
Kappes, M., Keiler, M., and Glade, T.: From Single- to Multi-Hazard Risk analyses: a concept addressing emerging challenges, Mountain risks: Bringing science to society, Proceedings of the international conference, Florence, 24–26 November 2010, 351–356, https://www.researchgate.net/publication/260692785_From_Single-_to_Multi-Hazard_Risk_analyses_a_concept_addressing_emerging_challenges (last access: 6 December 2024), 2010.
Kappes, M. S., Keiler, M., von Elverfeldt, K., and Glade, T.: Challenges of analyzing multi-hazard risk: a review, Nat. Hazards, 64, 1925–1958, https://doi.org/10.1007/s11069-012-0294-2, 2012.
Karat, J.: Evolving the scope of user-centered design, Commun. ACM, 40, 33–38, https://doi.org/10.1145/256175.256181, 1997.
Kent, B., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R. C., Mellor, S., Schwaber, K., Sutherland, J., and Thomas, D.: Manifesto for Agile Software Development, Agile Alliance, https://agilemanifesto.org/ (last access: 20 May 2024), 2001.
Kling, R.: The Organizational Context of User-Centered Software Designs, MIS Quart., 1, 41–52, https://doi.org/10.2307/249021, 1977.
Komendantova, N., Mrzyglocki, R., Mignan, A., Khazai, B., Wenzel, F., Patt, A., and Fleming, K.: Multi-hazard and multi-risk decision-support tools as a part of participatory risk governance: Feedback from civil protection stakeholders, Int. J. Disast. Risk Re., 8, 50–67, https://doi.org/10.1016/j.ijdrr.2013.12.006, 2014.
Krieger, G., Moreira, A., Fiedler, H., Hajnsek, I., Werner, M., Younis, M., and Zink, M.: TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry, IEEE T. Geosci. Remote, 45, 3317–3341, https://doi.org/10.1109/TGRS.2007.900693, 2007.
Kropf, C. M., Ciullo, A., Otth, L., Meiler, S., Rana, A., Schmid, E., McCaughey, J. W., and Bresch, D. N.: Uncertainty and sensitivity analysis for probabilistic weather and climate-risk modelling: an implementation in CLIMADA v.3.1.0, Geosci. Model Dev., 15, 7177–7201, https://doi.org/10.5194/gmd-15-7177-2022, 2022.
Kulikov, E. A., Rabinovich, A. B., and Thomson, R. E.: Estimation of Tsunami Risk for the Coasts of Peru and Northern Chile, Nat. Hazards, 35, 185–209, https://doi.org/10.1007/s11069-004-4809-3, 2005.
Kujala, S.: User involvement: A review of the benefits and challenges, Behav. Inform. Technol., 22, 1–16, https://doi.org/10.1080/01449290301782, 2003.
Langbein, M., Boeck, M., and Mandery, N.: riesgos/dlr-riesgos-frontend: 2.0.6-peru, Zenodo [code], https://doi.org/10.5281/zenodo.8024669, 2023.
Leyton, F., Ruiz, S., and Sepúlveda, S. A.: Preliminary re-evaluation of probabilistic seismic hazard assessment in Chile: from Arica to Taitao Peninsula, Adv. Geosci., 22, 147–153, https://doi.org/10.5194/adgeo-22-147-2009, 2009.
Li, M., Wang, J., and Sun, X.: Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges, Nat. Hazards, 80, 2037–2054, https://doi.org/10.1007/s11069-015-2059-1, 2016.
Liu, Z., Nadim, F., Garcia-Aristizabal, A., Mignan, A., Fleming, K., and Luna, B. Q.: A three-level framework for multi-risk assessment, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 9, 5974, https://doi.org/10.1080/17499518.2015.1041989, 2015.
Liu, B., Siu, Y. L., and Mitchell, G.: Hazard interaction analysis for multi-hazard risk assessment: a systematic classification based on hazard-forming environment, Nat. Hazards Earth Syst. Sci., 16, 629–642, https://doi.org/10.5194/nhess-16-629-2016, 2016.
López-Saavedra, M. and Martí, J.: Reviewing the multi-hazard concept, Application to volcanic islands, Earth-Sci. Rev., 236, 104286, https://doi.org/10.1016/j.earscirev.2022.104286, 2023.
Marin Ferrer, M., Antofie, T., Eklund, G., and Luoni, S.: The Disaster Risk Management Knowledge Center – Risk Data Hub: Vision Paper & roadmap, European Commission, Ispra, JRC119384, https://drmkc.jrc.ec.europa.eu/doc/18150 (last access: 6 December 2024), 2019.
Marzocchi W., Mastellone M. L., Di Ruocco A., Novelli P., Romeo E., and Gasparini P.: Principles of multi-risk assessment: interaction amongst natural and man-induced risks (Project report), Office for Official Publications of the European Communities, Luxembourg, https://doi.org/10.2777/30886, 2009.
Meaux, A. and Osofisan, W.: A review of context analysis tools for urban humanitarian response, https://www.iied.org/10797iied (last access: 20 May 2024), 2016.
Medina, S.: Zonificación de la vulnerabilidad física para edificaciones típicas en San Andrés de Tumaco, Costa Pacífica Colombiana, Master thesis in Civil Engineering, Universidad Nacional de Colombia Facultad de Ingeniería, Departamento Ingeniería Civil y Ambiental, Bogotá, Colombia, 245 pp., https://repositorio.unal.edu.co/handle/unal/77178 (last access: 6 December 2024), 2019.
Medina, S., Lizarazo-Marriaga, J., Estrada, M., Koshimura, S., Mas, E., and Adriano, B.: Tsunami analytical fragility curves for the Colombian Pacific coast: A reinforced concrete building example, Eng. Struct., 196, 109309, https://doi.org/10.1016/j.engstruct.2019.109309, 2019.
Merscher, C.: Seismic and Tsunami Hazard Analysis and cascading Effects to the Power Network in Lima and Callao, Peru. Master's thesis, Technical University of Munich, Germany, 2020.
Mignan, A., Wiemer, S., and Giardini, D.: The quantification of low-probability–high-consequences events: part I. A generic multi-risk approach, Nat. Hazards, 73, 1999–2022, https://doi.org/10.1007/s11069-014-1178-4, 2014.
Montalva, G. A., Bastías, N., and Rodriguez-Marek, A.: Ground-Motion Prediction Equation for the Chilean Subduction Zone, B. Seismol. Soc. Am., 107, 901–911, https://doi.org/10.1785/0120160221, 2017.
Munich RE: Relevant natural catastrophe loss events worldwide 2021, https://www.munichre.com/content/dam/munichre/mrwebsiteslaunches/natcat-2022/NatCat-Weltkarte-2021-1920x1080.pdf/_jcr_content/renditions/original./NatCat-Weltkarte-2021-1920x1080.pdf (last access: 20 May 2024), 2022.
Negulescu, C., Smai, F., Quique, R., Hohmann, A., Clain, U., Guidez, R., Tellez-Arenas, A., Quentin, A., and Grandjean, G.: VIGIRISKS platform, a web-tool for single and multi-hazard risk assessment, Nat. Hazards, 115, 593–618, https://doi.org/10.1007/s11069-022-05567-6, 2023.
Neri, A., Aspinall, W. P., Cioni, R., Bertagnini, A., Baxter, P. J., Zuccaro, G., Andronico, D., Barsotti, S., Cole, P. D., Esposti Ongaro, T., Hincks, T. K., Macedonio, G., Papale, P., Rosi, M., Santacroce, R., and Woo, G.: Developing an Event Tree for probabilistic hazard and risk assessment at Vesuvius, J. Volcanol. Geoth. Res., 178, 397–415, https://doi.org/10.1016/j.jvolgeores.2008.05.014, 2008.
Neri, M., Le Cozannet, G., Thierry, P., Bignami, C., and Ruch, J.: A method for multi-hazard mapping in poorly known volcanic areas: an example from Kanlaon (Philippines), Nat. Hazards Earth Syst. Sci., 13, 1929–1943, https://doi.org/10.5194/nhess-13-1929-2013, 2013.
Nievas, C. I., Bommer, J. J., Crowley, H., van Elk, J., Ntinalexis, M., and Sangirardi, M.: A database of damaging small-to-medium magnitude earthquakes, J Seismol, 24, 263–292, https://doi.org/10.1007/s10950-019-09897-0, 2020.
Norman, D. A. and Draper, W. (Eds.): User-Centered System Design: New Perspectives on Human-Computer Interaction, University of California, San Diego, Taylor and Francis, 526 pp., https://www.taylorfrancis.com/books/edit/10.1201/9780367807320/user-centered-system-design-donald-norman (last access: 6 December 2024), 1986.
Oberkampf, W. L., DeLand, S. M., Rutherford, B. M., Diegert, K. V., and Alvin, K. F.: Error and uncertainty in modeling and simulation, Reliab. Eng. Syst. Safe., 75, 333–357, https://doi.org/10.1016/S0951-8320(01)00120-X, 2002.
OECD (Organistation for Economic Co-operation and Development): Disaster Risk Assessment and Risk Financing A G20/OECD Methodological Framework, https://doi.org/10.1787/8f48d476-en, 2012.
Olarte, J., Aguilar, Z., Zavala, C., Martinez, A., and Gallardo, J.: Estimate of the probable maximum loss PML in Lima and Callao: Application to the Peruvian insurance industry, https://www.researchgate.net/publication/228758296_ESTIMATE_OF_THE_PROBABLE_MAXIMUM_LOSS_PML_IN_LIMA_AND_CALLAO_APPLICATION_TO_THE_PERUVIAN_INSURANCE_INDUSTRY (last access: 6 December 2024), 2008.
OSINERGMIN: Organismo Supervisor de la Inversión en Energía y Minería, https://www.gob.pe/osinergmin (last access: 20 May 2024), 2019.
Ouyang, M., Dueñas-Osorio, L., and Min, X.: A three-stage resilience analysis framework for urban infrastructure systems, Struct. Saf., 36–37, 23–31, https://doi.org/10.1016/j.strusafe.2011.12.004, 2012.
Owolabi, T. A. and Sajjad, M.: A global outlook on multi-hazard risk analysis: A systematic and scientometric review, Int. J. Disast. Risk Re., 92, 103727, https://doi.org/10.1016/j.ijdrr.2023.103727, 2023.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crowley, H., Silva, V., Henshaw, P., Butler, L., Nastasi, M., Panzeri, L., Simionato, M., and Vigano, D.: OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model, Seismol. Res. Lett., 85, 692–702, https://doi.org/10.1785/0220130087, 2014.
Pagani, M., Johnson, K., and Garcia Pelaez, J.: Modelling subduction sources for probabilistic seismic hazard analysis, in: Characterization of Modern and Historical Seismic–Tsunamic Events, and Their Global–Societal Impacts, edited by: Dilek, Y., Ogawa, Y., and Okubo, Y., Geological Society of London, https://doi.org/10.1144/SP501-2019-120, 2021.
Pascale, S., Sdao, F., and Sole, A.: A model for assessing the systemic vulnerability in landslide prone areas, Nat. Hazards Earth Syst. Sci., 10, 1575–1590, https://doi.org/10.5194/nhess-10-1575-2010, 2010.
Paulik, R., Horspool, N., Woods, R., Griffiths, N., Beale, T., Magill, C., Wild, A., Popovich, B., Walbran, G., and Garlick, R.: RiskScape: a flexible multi-hazard risk modelling engine, Nat. Hazards, 199, 1073–1090, https://doi.org/10.1007/s11069-022-05593-4, 2022.
Pesaresi, M., Ehrlich, D., Kemper, T., Siragusa, A., Florczyk, A., Freire, S., and Corbane, C.: Atlas of the human planet 2017, Global exposure to natural hazards, Joint Research Centre (European Commission), Luxembourg: Publictations Office of the European Union, 2017, https://doi.org/10.2760/19837, 2017.
Pitilakis, K., Crowley, H., and Kaynia, A. M. (Eds.): SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk: Buildings, Lifelines, Transportation Networks and Critical Facilities, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-007-7872-6, 2014.
Pittore, M., Wieland, M., and Fleming, K.: Perspectives on global dynamic exposure modelling for geo-risk assessment, Nat. Hazards, 86, 7–30, https://doi.org/10.1007/s11069-016-2437-3, 2017.
Pittore, M., Gómez Zapata, J. C., Brinckmann, N., Weatherill, G., Babeyko, A., Harig, S., Mahdavi, A., Proß, B., Rosero Velasquez, H. F., Straub, D., Krautblatter, M., Frimberger, T., Langbein, M., Geiß, C., and Schoepfer, E.: Towards an integrated framework for distributed, modular multi-risk scenario assessment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19097, https://doi.org/10.5194/egusphere-egu2020-19097, 2020.
Pittore, M., Haas, M., Gomez-Zapata, J. C., Brinckmann, N., Rüster, M., and Proß, B.: Quakeledger: a web service to serve earthquake scenarios. V. 1.0, GFZ Data Services [code], https://doi.org/10.5880/riesgos.2021.003, 2021a.
Pittore, M., Gomez-Zapata, J. C., Brinckmann, N., and Rüster, M.: Assetmaster and Modelprop: web services to serve building exposure models and fragility functions for physical vulnerability to natural-hazards. V. 1.0, GFZ Data Services [code], https://doi.org/10.5880/riesgos.2021.005, 2021b.
Plank, S., Nolde, M., Richter, R., Fischer, C., Martinis, S., Riedlinger, T., Schoepfer, E., and Klein, D.: Monitoring of the 2015 Villarrica Volcano Eruption by Means of DLR's Experimental TET-1 Satellite, Remote Sens., 10, 1379, https://doi.org/10.3390/rs10091379, 2018.
Rakowsky, N., Androsov, A., Fuchs, A., Harig, S., Immerz, A., Danilov, S., Hiller, W., and Schröter, J.: Operational tsunami modelling with TsunAWI – recent developments and applications, Nat. Hazards Earth Syst. Sci., 13, 1629–1642, https://doi.org/10.5194/nhess-13-1629-2013, 2013.
Rinaldi, S. M., Peerenboom, J. P., and Kelly, T. K.: Identifying, understanding, and analyzing critical infrastructure interdependencies, IEEE Contr. Syst. Mag., 21, 11–25, https://doi.org/10.1109/37.969131, 2001.
Rodríguez, E. E., Portner, D. E., Beck, S. L., Rocha, M. P., Bianchi, M. B., Assumpção, M., Ruiz, M., Alvarado, P., Condori, C., and Lynner, C.: Mantle dynamics of the Andean Subduction Zone from continent-scale teleseismic S -wave tomography, Geophys. J. Int., 224, 1553–1571, https://doi.org/10.1093/gji/ggaa536, 2020.
Rosero-Velásquez, H.: GitHub – riesgos/System_Reliability: WPS for performing the reliability of infrastructure networks, https://github.com/riesgos/System_Reliability (last access: 6 December 2024), 2020.
Rosero-Velásquez, H., Gómez Zapata, J. C. and Straub, D.: Comparative Assessment of Models of Cascading Failures in Power Networks Under Seismic Hazard, Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, 28 August–1 September 2022, 1897–1904, https://doi.org/10.3850/978-981-18-5183-4_S03-03-221-cd, 2022.
Rosero-Velásquez, H. and Straub, D.: Selection of representative natural hazard scenarios for engineering systems, Earthq. Eng. Struct. D., 51, 3680–3700, https://doi.org/10.1002/eqe.3743, 2022.
Rosero-Velásquez, H.: Graph-based model for reliability analysis of infrastructure networks (1.0), mediaTUM, Technical University Munich [data set], https://doi.org/10.14459/2024MP1735865, 2024.
Šakić Trogrlić, R., Donovan, A., and Malamud, B. D.: Invited perspectives: Views of 350 natural hazard community members on key challenges in natural hazards research and the Sustainable Development Goals, Nat. Hazards Earth Syst. Sci., 22, 2771–2790, https://doi.org/10.5194/nhess-22-2771-2022, 2022.
SARA: Research Topic 3 (RP3) – Modelling Subduction Zones in South America, https://sara.openquake.org/hazard_rt3/ (last access: 26 July 2023), 2016a.
SARA: Research Topic 4 (RT4) – The South American Earthquake Catalogue, https://sara.openquake.org/hazard_rt4 (last access: 26 July 2023), 2016b.
Schoepfer, E., Lauterjung, J., Kreibich, H., Rakowsky, N., Krautblatter, M., Straub, D., Stasch, C., Jäger, S., Knauer, K., Greiving, S., León, C., Spahn, H., and Riedlinger, T.: Research towards improved management of natural disasters including strategies to reduce cascading effects, in: EGU General Assembly 2018. Vienna, Austria, 8 April–13 Apr 2018, EGU2018-14801, https://elib.dlr.de/123317/1/EGU_2018_RIESGOS_poster-final.pdf (last access: 6 December 2024), 2018.
Schoepfer, E., Juzam, L., Lauterjung, J., León, C. D., Riedlinger, T., Spahn, H., and Zambrano, A.: Policy brief – Multi-risk analysis: What would happen if…?, DLR electronic library, 21 pp., https://doi.org/10.15489/cwgicmtcja61, 2024.
Schorlemmer, D., Euchner, F., Kästli, P., and Saul, J.: QuakeML: status of the XML-based seismological data exchange format, Ann. Geophys.-Italy, 54, 59–65, https://doi.org/10.4401/ag-4874, 2011.
Sedzro, K. S. A., Lamadrid, A. J., and Zuluaga, L. F.: Allocation of Resources Using a Microgrid Formation Approach for Resilient Electric Grids, IEEE T. Power Syst., 33, 2633–2643, https://doi.org/10.1109/TPWRS.2017.2746622, 2018.
Silva, V., Crowley, H., Pagani, M., Monelli, D., and Pinho, R.: Development of the OpenQuake engine, the Global Earthquake Model's open-source software for seismic risk assessment, Nat. Hazards, 72, 1409–1427, https://doi.org/10.1007/s11069-013-0618-x, 2014.
Sköld Gustafsson, V., Hjerpe, M., and Strandberg, G.: Construction of a national natural hazard interaction framework: The case of Sweden, iScience, 26, 106501, https://doi.org/10.1016/j.isci.2023.106501, 2023.
Strunz, G., Schöpfer, E., Geiß, C., Riedlinger, T., Lauterjung, J., and Spahn, H.: Multi-Risikobewertung in der Andenregion – Forschung, Entwicklung und praktische Anwendung, zfv – Zeitschrift für Geodäsie, Geoinformation und Landmanagement, zfv 1/2022, 63–70, https://doi.org/10.12902/zfv-0374-2021, 2022.
Suppasri, A., Mas, E., Charvet, I., Gunasekera, R., Imai, K., Fukutani, Y., Abe, Y., and Imamura, F.: Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami, Nat. Hazards, 66, 319–341, https://doi.org/10.1007/s11069-012-0487-8, 2013.
Sutcliffe, A.: Scenario-Based Requirements Engineering, IEEE T. Software Eng., 320–329, https://doi.org/10.1109/ICRE.2003.1232776, 2003.
Tarvainen, T., Jarva, J., and Greiving, S.: Spatial pattern of hazards and hazard interactions in Europe, Geological Survey of Finnland, Special Paper 42, Espoo 2006, 83–91, https://www.researchgate.net/publication/238538264_Development_of_Natural_Hazard_maps_for_European_Regions (last access: 12 December 2024), 2006.
Taubenböck, H., Post, J., Roth, A., Zosseder, K., Strunz, G., and Dech, S.: A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing, Nat. Hazards Earth Syst. Sci., 8, 409–420, https://doi.org/10.5194/nhess-8-409-2008, 2008.
Taubenböck, H., Goseberg, N., Setiadi, N., Lämmel, G., Moder, F., Oczipka, M., Klüpfel, H., Wahl, R., Schlurmann, T., Strunz, G., Birkmann, J., Nagel, K., Siegert, F., Lehmann, F., Dech, S., Gress, A., and Klein, R.: “Last-Mile” preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia, Nat. Hazards Earth Syst. Sci., 9, 1509–1528, https://doi.org/10.5194/nhess-9-1509-2009, 2009.
Taubenböck, H., Esch, T., Felbier, A., Wiesner, M., Roth, A., and Dech, S.: Monitoring urbanization in mega cities from space, Remote Sens. Environ., 117, 162–176, https://doi.org/10.1016/j.rse.2011.09.015, 2012.
Taubenböck, H., Goseberg, N., Lämmel, G., Setiadi, N., Schlurmann, T., Nagel, K., Siegert, F., Birkmann, J., Traub, K.-P., Dech, S., Keuck, V., Lehmann, F., Strunz, G., and Klüpfel, H.: Risk reduction at the “Last-Mile”: an attempt to turn science into action by the example of Padang, Indonesia, Nat. Hazards, 65, 915–945, https://doi.org/10.1007/s11069-012-0377-0, 2013.
Tavera, H., Agüero, C., Fernandez, E., and Rodriguez, S.: Catálogo Sísmico del Perú 1471 – 1982 Versión Revisada y Actualizada. Instituto Geofísico del Perú, Direccion de Sismologia, Lima, 2001, https://repositorio.igp.gob.pe/handle/20.500.12816/789 (last access: 20 May 2024), 2001.
Tilloy, A., Malamud, B. D., Winter, H., and Joly-Laugel, A.: A review of quantification methodologies for multi-hazard interrelationships, Earth-Sci. Rev., 196, 102881, https://doi.org/10.1016/j.earscirev.2019.102881, 2019.
Tilloy, A., Malamud, B. D., and Joly-Laugel, A.: A methodology for the spatiotemporal identification of compound hazards: wind and precipitation extremes in Great Britain (1979–2019), Earth Syst. Dynam., 13, 993–1020, https://doi.org/10.5194/esd-13-993-2022, 2022.
UCTE: Final Report of the Investigation Committee on the 28 September 2003 Blackout in Italy, UCTE Report, April 2004, https://eepublicdownloads.entsoe.eu/clean-documents/pre2015/publications/ce/otherreports/20040427_UCTE_IC_Final_report.pdf (last access: 6 December 2024), 2004.
UNDRR: Global Assessment Report on Disaster Risk Reduction 2019, Geneva, Switzerland, United Nations Office for Disaster Risk Reduction (UNDRR), ISBN 978-92-1-004180-5, https://www.undrr.org/publication/global-assessment-report-disaster-risk-reduction-2019 (last access: 6 December 2024), 2019.
UNDRR: Global Assessment Report on Disaster Risk Reduction 2022, Geneva, Switzerland, United Nations Office for Disaster Risk Reduction (UNDRR), ISBN 9789212320281, https://www.undrr.org/media/79595/download?startDownload=20241206 (last access: 6 December 2024), 2022a.
UNDRR: Hazard definition and classification review. Technical Report, https://www.undrr.org/publication/hazard-definition-and-classification-review-technical-report (last access: 20 May 2024), 2022b.
UNDRR: GAR Special Report 2023: Mapping resilience for the sustainable development goals, Geneva, Switzerland, United Nations Office for Disaster Risk Reduction (UNDRR), ISBN 9789210028301, http://www.undrr.org/gar2023sr (last access: 6 December 2024), 2023.
UNEP: GEO-6 Regional Assessment for Asia and the Pacific. United Nations Environment Programme, Nairobi, Kenya, Online: http://www.unep.org/resources/report/geo-6-global-environment-outlook-regional-assessment-asia-and-pacific (last access: 20 May 2024), 2016.
UNEP: World Environment Situation Room and WESR CCA: Executive Briefing – November 2021, https://wedocs.unep.org/handle/20.500.11822/39684 (last access: 20 May 2024), 2021.
UNEP: World Environment Situation Room (WESR), Online: https://wesr.unepgrid.ch (last access: 20 May 2024), 2023.
UNISDR: UNISDR Terminology on Disaster Risk Reduction. Geneva, Switzerland, United Nations Office for Disaster Risk Reduction (UNDRR), https://www.undrr.org/publication/2009-unisdr-terminology-disaster-risk-reduction (last access: 20 May 2024), 2009.
UNISDR: Sendai framework for disaster risk reduction 2015–2030, Geneva, UNISDR, https://www.undrr.org/media/16176/download?startDownload=20241206 (last access: 6 December 2024), 2015a.
UNISDR: Reflection paper: Disaster risk reduction and resilience in the 2030 Agenda for Sustainable Development, New York, UNHQ Liaison Office, 2015b.
United Nations: Paris Agreement, United Nations, New York, https://unfccc.int/process-and-meetings/the-paris-agreement (last access: 6 December 2024), 2015a.
United Nations: Transforming our world: The 2030 Agenda for Sustainable Development (A/RES/70/1, 25 September 2015), United Nations, New York, NY, https://sdgs.un.org/2030agenda (last access: 6 December 2024), 2015b.
United Nations: The New Urban Agenda. United Nations, New York, 29 pp., https://www.un.org/en/development/desa/population/migration/generalassembly/docs/globalcompact/A_RES_71_256.pdf (last access: 6 December 2024), 2017.
van de Lindt, J. W., Kruse, J., Cox, D. T., Gardoni, P., Lee, J. S., Padgett, J., McAllister, T. P., Barbosa, A., Cutler, H., Van Zandt, S., Rosenheim, N., Navarro, C. M., Sutley, E., and Hamideh, S.: The interdependent networked community resilience modeling environment (IN-CORE), Resilient Cities and Structures, 2, 57–66, https://doi.org/10.1016/j.rcns.2023.07.004, 2023.
van Westen, C. J., Kappes, M. S., Luna, B. Q., Frigerio, S., Glade, T., and Malet, J.-P.: Medium-Scale Multi-hazard Risk Assessment of Gravitational Processes, in: Mountain Risks: From Prediction to Management and Governance, vol. 34, edited by: Van Asch, T., Corominas, J., Greiving, S., Malet, J.-P., and Sterlacchini, S., Springer Netherlands, Dordrecht, 201–231, https://doi.org/10.1007/978-94-007-6769-0_7, 2014a.
van Westen, C. J., Bakker, W. H., Andrejchenko, V., Zhang, K., Berlin, J., Cristal, I., and Olyazadeh, R.: RiskChanges: a Spatial Decision Support System for analysing changing hydro-meteorological risk, In: International Conference “Analysis and Management of Changing Risks for Natural Hazards”, Padua, Italy, 18–19 November 2014, http://www.changes-itn.eu/Portals/0/Content/2014/Final%20conference/abstracts/EO5_Abstract_vanWesten_et_al.pdf (last access: 6 December 2024), 2014b.
van Westen, C., Hazarika, M., Dahal, A., Kshetri, T., Shakya, A., and Nashrrullah, S.: The RiskChanges tool for multi-hazard risk-informed planning at local government level, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3026, https://doi.org/10.5194/egusphere-egu22-3026, 2022.
Villar-Vega, M., Silva, V., Crowley, H., Yepes, C., Tarque, N., Acevedo, A. B., Hube, M. A., Gustavo, C. D., and María, H. S.: Development of a Fragility Model for the Residential Building Stock in South America, Earthq. Spectra, 33, 581–604, https://doi.org/10.1193/010716EQS005M, 2017.
Wald, D. and Lin, K.-W.: USGS ShakeCast, USGS ShakeCast, Geological Survey (U. S.), 2007-3086, https://doi.org/10.3133/fs20073086, 2007.
Wald, D. J., Jaiswal, K. S., Marano, K. D., Bausch, D. B., and Hearne, M. G., 2010, PAGER—Rapid assessment of an earthquake's impact: U. S. Geological Survey Fact Sheet 2010–3036, 4 pp., https://pubs.usgs.gov/fs/2010/3036/pdf/FS10-3036.pdf (last access: 12 December 2024), 2011.
Ward, P. J., Blauhut, V., Bloemendaal, N., Daniell, J. E., de Ruiter, M. C., Duncan, M. J., Emberson, R., Jenkins, S. F., Kirschbaum, D., Kunz, M., Mohr, S., Muis, S., Riddell, G. A., Schäfer, A., Stanley, T., Veldkamp, T. I. E., and Winsemius, H. C.: Review article: Natural hazard risk assessments at the global scale, Nat. Hazards Earth Syst. Sci., 20, 1069–1096, https://doi.org/10.5194/nhess-20-1069-2020, 2020.
Weatherill, G., Pittore, M., Haas, M., Brinckmann, N., Rüster, M., and Gomez-Zapata, J. C.: Shakyground: a web service to serve GMPE-based ground motion fields. V. 1.0, GFZ Data Services [data set], https://doi.org/10.5880/riesgos.2021.004, 2021.
Weatherill, G., Crowley, H., Roullé, A., Tourlière, B., Lemoine, A., Gracianne, C., Kotha, S. R., and Cotton, F.: Modelling site response at regional scale for the 2020 European Seismic Risk Model (ESRM20), B. Earthq. Eng., 21, 665–714, https://doi.org/10.1007/s10518-022-01526-5, 2023.
Wieland, M., Pittore, M., Parolai, S., Zschau, J., Moldobekov, B., and Begaliev, U.: Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging, Soil Dyn. Earthq. Eng., 36, 70–83, https://doi.org/10.1016/j.soildyn.2012.01.003, 2012.
WMO: Weather-related disasters increase over past 50 years, causing more damage but fewer deaths, Online: https://www.unwater.org/news/weather-related-disasters-more-damage-fewer-deaths (last access: 20 May 2024), 2021.
World Bank Group: The World Bank Open Knowledge Repository (OKR), https://openknowledge.worldbank.org/ (last access: 6 December 2024), 2021.
WPS: OGC Web Processing Service 2.0 Interface Standard, Revised Date: 16 February 2018, http://docs.opengeospatial.org/is/14-065/14-065.html (last access: 20 May 2024), 2018.
Yepes-Estrada, C., Silva, V., Valcárcel, J., Acevedo, A. B., Tarque, N., Hube, M. A., Coronel, G., and María, H. S.: Modeling the Residential Building Inventory in South America for Seismic Risk Assessment, Earthq. Spectra, 33, 299–322, https://doi.org/10.1193/101915eqs155dp, 2017.
Zschau, J.: Where are we with multihazards, multirisks assessment capacities?, in: Science for disaster risk management 2017: knowing better and losing less, edited by: Poljansek, K., Marin Ferrer, M., De Groeve, T., and Clark, I., European Union, 98–115, https://doi.org/10.2788/688605, 2017.
Short summary
In this paper, we provide a brief introduction of the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-risk assessment. We highlight four global strategies that address disaster risk reduction and call for action. Subsequently, we present a conceptual approach for multi-risk assessment which was designed to serve potential users like disaster risk managers, urban planners or operators of critical infrastructure to increase their capabilities.
In this paper, we provide a brief introduction of the paradigm shift from managing disasters to...
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