Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-521-2020
© Author(s) 2020. 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-20-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2020
Research article |
| 24 Feb 2020
| 24 Feb 2020
The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems
Marcello Arosio
CORRESPONDING AUTHOR
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
Mario L. V. Martina
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
Rui Figueiredo
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, Portugal
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-178, https://doi.org/10.5194/nhess-2024-178, 2024
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Indicators contain observable and measurable characteristics to understand the state of a concept or phenomenon and/or monitor it over time. There have been limited efforts to understand how indicators are being used in multi-hazard and multi-risk contexts. We find most of existing indicators do not include the interactions between hazards or risks. We propose 12 recommendations to enable the development and uptake of multi-hazard and multi-risk indicators.
Marcello Arosio, Mario L. V. Martina, and Rui Figueiredo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-278, https://doi.org/10.5194/nhess-2018-278, 2018
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Assessing the risk of complex systems to natural hazards is an important and challenging problem. In today's socio-technological world, the connections and interdependencies between exposed elements are crucial. These complex relations call for a paradigm shift in collective risk assessment. This two-part paper proposes a new holistic approach to assess the risk of complex systems based on Graph Theory. Part II presents an application to a pilot study in Mexico City.
Paola Ceresa, Gianbattista Bussi, Simona Denaro, Gabriele Coccia, Paolo Bazzurro, Mario Martina, Ettore Fagà, Carlos Avelar, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Zhanar Raimbekova, Kanatbek Abdrakhmatov, Sitora Mirzokhonova, Vakhitkhan Ismailov, and Vladimir Belikov
Nat. Hazards Earth Syst. Sci., 25, 403–428, https://doi.org/10.5194/nhess-25-403-2025, https://doi.org/10.5194/nhess-25-403-2025, 2025
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A fully probabilistic flood risk assessment was carried out for five Central Asian countries to support regional and national risk financing and insurance applications. The paper presents the first high-resolution regional-scale transboundary flood risk assessment study in the area aiming to provide tools for decision-making.
Christopher J. White, Mohammed Sarfaraz Gani Adnan, Marcello Arosio, Stephanie Buller, YoungHwa Cha, Roxana Ciurean, Julia M. Crummy, Melanie Duncan, Joel Gill, Claire Kennedy, Elisa Nobile, Lara Smale, and Philip J. Ward
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-178, https://doi.org/10.5194/nhess-2024-178, 2024
Preprint under review for NHESS
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Indicators contain observable and measurable characteristics to understand the state of a concept or phenomenon and/or monitor it over time. There have been limited efforts to understand how indicators are being used in multi-hazard and multi-risk contexts. We find most of existing indicators do not include the interactions between hazards or risks. We propose 12 recommendations to enable the development and uptake of multi-hazard and multi-risk indicators.
Naveen Ragu Ramalingam, Kendra Johnson, Marco Pagani, and Mario Martina
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-72, https://doi.org/10.5194/nhess-2024-72, 2024
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By combining limited tsunami simulations with a machine learning, we developed a fast and efficient framework to predict tsunami impacts such as wave heights and inundation depths along different coastal regions. Testing our model with historical tsunami source scenarios helped assess its reliability and broad applicability. This work enables more efficient and comprehensive tsunami hazard modelling workflow, essential for tsunami risk evaluations and enhancing coastal disaster preparedness.
Luigi Cesarini, Rui Figueiredo, Beatrice Monteleone, and Mario L. V. Martina
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Weather index insurance is an innovative program used to manage the risk associated with natural disasters, providing instantaneous financial support to the insured party. This paper proposes a methodology that exploits the power of machine learning to identify extreme events for which a payout from the insurance could be delivered. The improvements achieved using these algorithms are an encouraging step forward in the promotion and implementation of this insurance instrument.
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This study proposes a new drought index that combines meteorological and agricultural drought aspects. The index is scalable, transferable all over the globe, can be updated in near real time and is a
remote-sensing product, since only satellite-based datasets were employed. A set of rules to objectively identify drought events is also implemented. We found that the set of rules, applied together with the new index, outperformed conventional drought indices in identifying droughts in Haiti.
Marcello Arosio, Mario L. V. Martina, and Rui Figueiredo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-278, https://doi.org/10.5194/nhess-2018-278, 2018
Revised manuscript has not been submitted
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Assessing the risk of complex systems to natural hazards is an important and challenging problem. In today's socio-technological world, the connections and interdependencies between exposed elements are crucial. These complex relations call for a paradigm shift in collective risk assessment. This two-part paper proposes a new holistic approach to assess the risk of complex systems based on Graph Theory. Part II presents an application to a pilot study in Mexico City.
Rui Figueiredo, Kai Schröter, Alexander Weiss-Motz, Mario L. V. Martina, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 18, 1297–1314, https://doi.org/10.5194/nhess-18-1297-2018, https://doi.org/10.5194/nhess-18-1297-2018, 2018
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Flood loss modelling is subject to large uncertainty that is often neglected. Most models are deterministic, and large disparities exist among them. Adopting a single model may lead to inaccurate loss estimates and sub-optimal decision-making. This paper proposes the use of multi-model ensembles to address such issues. We demonstrate that this can be a simple and pragmatic approach to obtain more accurate loss estimates and reliable probability distributions of model uncertainty.
Francesco Dottori, Rui Figueiredo, Mario L. V. Martina, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 16, 2577–2591, https://doi.org/10.5194/nhess-16-2577-2016, https://doi.org/10.5194/nhess-16-2577-2016, 2016
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INSYDE is a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts.
R. Figueiredo and M. Martina
Nat. Hazards Earth Syst. Sci., 16, 417–429, https://doi.org/10.5194/nhess-16-417-2016, https://doi.org/10.5194/nhess-16-417-2016, 2016
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The building exposure component of risk models is frequently based on census data at coarse resolutions. Spatial disaggregation into finer resolutions is usually performed based on proxy variables, which is a reasonable but not ideal procedure. The availability of open data is increasing and these data can be taken into account in order to generate more accurate exposure models, which in turn can improve the results of risk models. A method to do so is proposed and its limitations are analysed.
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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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Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
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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.
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.
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
EGUsphere, https://doi.org/10.5194/egusphere-2024-2556, https://doi.org/10.5194/egusphere-2024-2556, 2024
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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.
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).
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.
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-121, https://doi.org/10.5194/nhess-2024-121, 2024
Revised manuscript accepted for NHESS
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Households play a crucial role in climate adaptation efforts. Yet, households require capacities to implement measures. We explore which capacities enable German households to adapt to flooding. Our results indicate that flood-related capacities such as risk perception, responsibility appraisal and motivation are pivotal, whereas financial assets are secondary. Enhancing these specific capacities, e.g. through collaborations between households and municipalities, could promote local adaptation.
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.
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
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For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
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Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
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This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
EGUsphere, https://doi.org/10.5194/egusphere-2024-1407, https://doi.org/10.5194/egusphere-2024-1407, 2024
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Adapting to climate extremes is a challenge for spatial planning. Risk maps that include not just a consideration of hazards but also social vulnerability can help. We develop social vulnerability maps for the Stuttgart region, Germany. We show the maps, describe how and why we developed them, and provide an analysis of practitioners’ needs and their feedback. Insights presented in this paper can help to improve map usability and to better link research and planning practice.
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2024-1588, https://doi.org/10.5194/egusphere-2024-1588, 2024
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated all 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 damages. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrology models in shaping policies to lessen drought impacts.
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
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Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
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The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500, https://doi.org/10.5194/nhess-24-1485-2024, https://doi.org/10.5194/nhess-24-1485-2024, 2024
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This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation modeling and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios by emulating the dynamics and behavior of the population and their decision-making regarding the starting time of the evacuation.
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318, https://doi.org/10.5194/nhess-24-1303-2024, https://doi.org/10.5194/nhess-24-1303-2024, 2024
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An understanding of flood risk perceptions may aid in improving flood risk communication. We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall to investigate changes in risk perception. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
Louise Cavalcante, David W. Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2024-650, https://doi.org/10.5194/egusphere-2024-650, 2024
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The research aimed to understand the role of society in mitigating drought impacts through policy responses in the context of northeast Brazil. Results revealed that socio-environmental-economic impacts of drought are less frequently reported, while hydrological impacts of drought were the most reported. It emphasized that public policies addressing the impacts of drought need to focus not only on increasing water availability, but also on strengthening the local economy.
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064, https://doi.org/10.5194/nhess-24-1051-2024, https://doi.org/10.5194/nhess-24-1051-2024, 2024
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We establish a model of future geospatial population distributions to quantify the number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru, for the year 2035. Areas of high earthquake intensity will experience a population growth of almost 30 %. The population in the tsunami inundation area is estimated to grow by more than 60 %. Uncovering those relations can help urban planners and policymakers to develop effective risk mitigation strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
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Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci., 24, 803–822, https://doi.org/10.5194/nhess-24-803-2024, https://doi.org/10.5194/nhess-24-803-2024, 2024
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A basic database for seismic risk assessment of 720 urban water supply systems in mainland China is established. The parameters of the seismic risk curves of 720 cities are calculated. The seismic fragility curves of various facilities in the water supply system are given based on the logarithmic normal distribution model. The expected seismic loss and the expected loss rate index of 720 urban water supply systems in mainland China in the medium and long term are given.
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci., 24, 699–714, https://doi.org/10.5194/nhess-24-699-2024, https://doi.org/10.5194/nhess-24-699-2024, 2024
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The impacts of climate change on local floods require precise maps that clearly demarcate changes to flood exposure; however, most maps lack important considerations that reduce their utility in policy and decision-making. This article presents a new approach to identifying current and projected flood exposure using a 5 m model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci., 24, 673–679, https://doi.org/10.5194/nhess-24-673-2024, https://doi.org/10.5194/nhess-24-673-2024, 2024
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In this communication, we reflect on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna floods. The most frequently reported damage involves water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems, and the lack of established monitoring activities appear to be the most challenging aspects for future research.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Lisa Dillenardt and Annegret H. Thieken
EGUsphere, https://doi.org/10.5194/egusphere-2024-162, https://doi.org/10.5194/egusphere-2024-162, 2024
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Using survey data, we analysed the influence of different flood types on whether households implement adaptive measures. We found that communication and management strategies need to involve municipalities and should be tailored to the locally relevant flood type.
Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci., 24, 179–197, https://doi.org/10.5194/nhess-24-179-2024, https://doi.org/10.5194/nhess-24-179-2024, 2024
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Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
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Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
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This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
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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.
Cited articles
Abele, W. I. and Dunn, M.: International CIIP handbook 2006 – (Vol. I) – An inventory of 20 national and 6 international critical
information infrastructure protection polices, Zurich, Switzerland, 2006.
Albano, R., Sole, A., Adamowski, J., and Mancusi, L.: A GIS-based model to estimate flood consequences and the degree of accessibility and
operability of strategic emergency response structures in urban areas, Nat. Hazards Earth Syst. Sci., 14, 2847–2865,
https://doi.org/10.5194/nhess-14-2847-2014, 2014.
Alexoudi, M. N., Kakderi, K. G., and Pitilakis, K. D.: Seismic risk and hierarchy importance of interdependent lifelines. Methodology and
important issues, in: 11th ICASP International Conference on Application of Statistics and Probability in Civil Engineering, 1–4 August 2011,
Zurich, Switzerland, 2011.
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer world, Earth's Future, 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017.
Amaro, P.: Proposal of an approach for estimating relationships I-d-Tr from 24 hours rainfalls, Universidad Nacional Autónoma de
México (UNAM), M.C., 2005.
Arosio, M., Martina, M. L. V, Carboni, E., and Creaco, E.: Simplified pluvial flood risk assessment in a complex urban environment by means
of a dynamic coupled hydrological-hydraulic model: case study of Mexico City, in: Proc. ofthe 5th IAHR Europe Congress New Challenges in Hydraulic Research and Engineering, edited by:
Armanini, A. and Nucci, E., 5th IAHR Europe Congress Organizers,
Trento, 429–430, 2018.
Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.: Urban micro-scale flood risk estimation with parsimonious
hydraulic modelling and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391, https://doi.org/10.5194/nhess-13-1375-2013, 2013.
Artina, S., Calenda, G., Calomino, F., Loggia, G. La, Modica, C., Paoletti, A., Papiri, S., Rasulo, G., and Veltri, P.: Sistemi di
fognatura. Manuale di progettazione, edited by: Hoepli, Milan, 1997.
Balbi, S., Giupponi, C., Gain, A., Mojtahed, V., Gallina, V., Torresan, S. and Marcomini, A.: The KULTURisk Framework (KR-FWK): A
conceptual framework for comprehensive assessment of risk prevention measures – Project deliverable 1.6., FP7-ENV-2010 | Project 265280, 2010.
Barabasi, A. L.: Network Science, edited by: Cambridge University Press, Cambridge, available at:
http://barabasi.com/networksciencebook/ (last access: 10 February 2020), 2016.
Bazzurro, P. and Luco, N.: Accounting for uncertainty and correlation in earthquake loss estimation, 9th
Int. Conf. Struct. Saf. Reliab., Millpress,
Rotterdam, 2687–2694, 2005.
Beirlant, J., Dierckx, G., Goegebeur, Y., and Matthys, G.: Tail Index Estimation and an Exponential Regression Model, Extremes, 2,
177–200, 1999.
Bergström, J., Uhr, C., and Frykmer, T.: A Complexity Framework for Studying Disaster Response Management, J. Conting. Crisis Man.,
24, 124–135, https://doi.org/10.1111/1468-5973.12113, 2016.
Biggs, N. L., Lloyd, E. K., and Wilson, R. J.: Graph Theory 1736-1936, edited by: Clarendon Press, Oxford, 1976.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., and Hwang, D. U.: Complex networks: Structure and dynamics, Phys. Rep., 424,
175–308, https://doi.org/10.1016/j.physrep.2005.10.009, 2006.
Börner, K., Soma, S., and Vespignani, A.: Network Science, in: Annual Review of Information & Technology, vol. 41, edited by:
Medford 537–607, asis&t, New Jersey, 2007.
Bosetti, L., Ivanovic, A., and Menaal, M.: Fragility, Risk, and Resilience: A Review of Existing Frameworks, available at:
http://i.unu.edu/media/cpr.unu.edu/attachment/2232/Assessing-Fragility-Risk-and-Resilience-Frameworks.pdf (last access: 10 February 2020), 2016.
Bouwer, L. M., Crompton, R. P., Faust, E., Höppe, P., and Pielke, R. A.: Confronting disaster losses, Science, 318, 753, https://doi.org/10.1126/science.1149628, 2007.
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, 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 communites, in: 13th World Conference on Earthquake
Engineering, EarthquakeSpectra, Vancouver, Canada, 2004.
Buldyrev, S. V, Parshani, R., Paul, G., Stanley, H. E., and Havlin, S.: Catastrophic cascade of failures in interdependent networks,
Nature, 464, 1025–1028, https://doi.org/10.1038/nature08932, 2010.
Bunde, A. and Havlin, S.: Fractals and Disordered Systems, Springer-Verlag, Berlin Heidelberg, 1991.
Burton, C. G. and Silva, V.: Assessing Integrated Earthquake Risk in OpenQuake with an Application to Mainland Portugal, Earthq. Spectra,
32, 1383–1403, https://doi.org/10.1193/120814EQS209M, 2015.
Campillo, G., Dickson, E., Leon, C., and Goicoechea, A.: Urban risk assessment Mexico City metropolitan area, Understanding urban risk: an approach for assessing disaster and climate risk in cities, Mexico, 2011.
Cardona, O. D.: The Need for Rethinking the Concepts of Vulnerability and Risk from a Holistic Perspective: A Necessary Review and
Criticism for Effective Risk Management, in Mapping vulnerability: Disasters, development and people, vol. 3, Earthscan Publishers, London, 37–51, 2003.
Carreño, M. L., Cardona, O., and Barbat, A.: A disaster risk management performance index, Nat. Hazards, 41, 1–20,
https://doi.org/10.1007/s11069-006-9008-y, 2007a.
Carreño, M. L., Cardona, O. D., and Barbat, A. H.: Urban seismic risk evaluation: A holistic approach, Nat. Hazards, 40, 137–172,
https://doi.org/10.1007/s11069-006-0008-8, 2007b.
Carreño, M. L., Cardona, O. D., and Barbat, A. H.: New methodology for urban seismic risk assessment from a holistic perspective,
B. Earthq. Eng., 10, 547–565, https://doi.org/10.1007/s10518-011-9302-2, 2012.
Clark-Ginsberg, A., Abolhassani, L., and Rahmati, E. A.: Comparing networked and linear risk assessments: From theory to evidence,
Int. J. Disast. Risk Re., 30, 216–224, https://doi.org/10.1016/j.ijdrr.2018.04.031, 2018.
Coles, S.: An Introduction to Statistical Modeling of Extreme Values, Springer-Verlag, London, 2001.
Crowley, H. and Bommer, J. J.: Modelling seismic hazard in earthquake loss models with spatially distributed exposure, B. Earthq. Eng.,
4, 249–273, https://doi.org/10.1007/s10518-006-9009-y, 2006.
Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., and Webb, J.: A place-based model for understanding community
resilience to natural disasters, Global Environ. Chang., 18, 598–606, https://doi.org/10.1016/j.gloenvcha.2008.07.013, 2008.
Cutter, S. L., Burton, C. G., and Emrich, C. T.: Journal of Homeland Security and Disaster Resilience Indicators for Benchmarking
Baseline Conditions Disaster Resilience Indicators for Benchmarking Baseline Conditions, J. Homel. Secur. Emerg., 7, 51, https://doi.org/10.2202/1547-7355.1732,
2010.
David, C.: The Risk Triangle, available at: https://www.ilankelman.org/crichton/1999risktriangle.pdf (last access: 1 January 2020), 1999.
Dueñas-Osorio, L. and Vemuru, S. M.: Cascading failures in complex infrastructure systems, Struct. Saf., 31, 157–167,
https://doi.org/10.1016/j.strusafe.2008.06.007, 2009.
Dueñas-Osorio, L., Craig, J. I., and Goodno, B. J.: Probabilistic response of interdependent infrastructure networks, in 2nd annual
meeting of the Asian-pacific network of centers for earthquake engineering research (ANCER), Honolulu, Hawaii, 2004.
Eakin, H., Bojórquez-Tapia, L. A., Janssen, M. A., Georgescu, M., Manuel-Navarrete, D., Vivoni, E. R., Escalante, A. E.,
Baeza-Castro, A., Mazari-Hiriart, M., and Lerner, A. M.: Urban resilience efforts must consider social and political forces,
P. Natl. Acad. Sci. USA, 114, 186–189, https://doi.org/10.1073/pnas.1620081114, 2017.
Euler, L.: Solutio problematis ad geometrian situs pertinentis, Commentarii Academiae Scientiarum Imperialis Petropolitanae, 8, 128–140,
1736.
Falter, D., Schröter, K., Dung, N. V., Vorogushyn, S., Kreibich, H., Hundecha, Y., Apel, H., and Merz, B.: Spatially coherent flood
risk assessment based on long-term continuous simulation with a coupled model chain, J. Hydrol., 524, 182–193, https://doi.org/10.1016/j.jhydrol.2015.02.021,
2015.
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.
Gao, J., Liu, X., Li, D., and Havlin, S.: Recent progress on the resilience of complex networks, Energies, 8, 12187–12210,
https://doi.org/10.3390/en81012187, 2015.
Grossi, P. and Kunreuther, H.: Catastrophe Modeling: A New Aproach to Managing Risk Catastrophe Modeling, Springer Science + Bussiness
Media, Inc., Boston, 2005.
Hammond, M. J., Chen, A. S., Djordjević, S., Butler, D., and Mark, O.: Urban flood impact assessment: A state-of-the-art review,
Urban Water J., 12, 14–29, https://doi.org/10.1080/1573062X.2013.857421, 2013.
Holmgren, Å. J.: Using Graph Models to Analyze the Vulnerability of Electric Power Networks, Risk Anal., 26, 955–969,
https://doi.org/10.1111/j.1539-6924.2006.00791.x, 2006.
IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P. M., Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pp., 2012.
Kakderi, K., Argyroudis, S., and Pitilakis, K.: State of the art literature review of methodologies to assess the vulnerability of
a “system of systems” – Project deliverable D2.9., 2011.
Karagiorgos, K., Thaler, T., Hübl, J., Maris, F., and Fuchs, S.: Multi-vulnerability analysis for flash flood risk management,
Nat. Hazards, 82, 63–87, https://doi.org/10.1007/s11069-016-2296-y, 2016.
Koenig, M. D. and Battiston, S.: From Graph Theory to Models of Economic Networks. A Tutorial, in: Networks, Topology and Dynamics,
Springer-Verlag, Berlin, 23–63, 2009.
Lane, J. A. and Valerdi, R.: Accelerating system of systems engineering understanding and optimization through lean enterprise
principles, 2010 IEEE Int. Syst. Conf. Proceedings, SysCon 2010, Management of Environmental Quality: An International Journal, 196–201,
https://doi.org/10.1109/SYSTEMS.2010.5482339, 2010.
Lewis, T. G.: Critical Infrastructure Protection in Homeland Security: Defending a Networked Nation, John Wiley & Sons,
2014.
Lhomme, S., Serre, D., Diab, Y., and Laganier, R.: Analyzing resilience of urban networks: a preliminary step towards more flood
resilient cities, Nat. Hazards Earth Syst. Sci., 13, 221–230, https://doi.org/10.5194/nhess-13-221-2013, 2013.
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.
Luce, R. D. and Perry, A. D.: A method of matrix analysis of group structure, Psychometrika, 14, 95–116, https://doi.org/10.1007/BF02289146, 1949.
Markolf, S. A., Chester, M. V., Eisenberg, D. A., Iwaniec, D. M., Davidson, C. I., Zimmerman, R., Miller, T. R., Ruddell, B. L., and
Chang, H.: Interdependent Infrastructure as Linked Social, Ecological, and Technological Systems (SETSs) to Address Lock-in and Enhance Resilience,
Earth's Futur., 6, 1638–1659, https://doi.org/10.1029/2018EF000926, 2018.
Menoni, S.: Chains of damages and failures in a metropolitan environment?: some observations on the Kobe earthquake in 1995,
J. Hazard. Mater., 86, 101–119, 2001.
Menoni, S., Pergalani, F., Boni, M., and Petrini, V.: Lifelines earthquake vulnerability assessment: a systemic approach, Soil
Dyn. Earthq. Eng., 22, 1199–1208, https://doi.org/10.1016/S0267-7261(02)00148-3, 2002.
Mingers, J. and White, L.: A Review of the Recent Contribution of Systems Thinking to Operational Research and Management Science –
Working paper series n. 197,
University of Bristol, Bristol, 2009.
Navin, P. K. and Mathur, Y. P.: Application of graph theory for optimal sewer layout generation, Discovery, 40, 151–157, 2015.
Nepusz, T. and Csard, G.: Network Analysis and Visualization Author, available at:
https://cran.r-project.org/web/packages/igraph/igraph.pdf (last access: 1 February 2020), 2018.
Newman, M. E. J.: Networks An Introduction, Oxford, New York, 2010.
Ouyang, M.: Review on modeling and simulation of interdependent critical infrastructure systems, Reliab. Eng. Syst. Safe, 121, 43–60,
https://doi.org/10.1016/j.ress.2013.06.040, 2014.
Pant, R., Thacker, S., Hall, J. W., Alderson, D., and Barr, S.: Critical infrastructure impact assessment due to flood exposure, J. Flood
Risk Manag., 11, 22–33, https://doi.org/10.1111/jfr3.12288, 2018.
Pescaroli, G. and Alexander, D.: Critical infrastructure, panarchies and the vulnerability paths of cascading disasters, Nat. Hazards,
82, 175–192, https://doi.org/10.1007/s11069-016-2186-3, 2016.
Pescaroli, G. and Alexander, D.: Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework, Risk
Anal., 38, 2245–2257, https://doi.org/10.1111/risa.13128, 2018.
Reed, D. A., Kapur, K. C., and Christie, R. D.: Methodology for assessing the resilience of networked infrastructure, IEEE Syst. J., 3,
174–180, https://doi.org/10.1109/JSYST.2009.2017396, 2009.
Rinaldi, S. M.: Modeling and simulating critical infrastructures and their interdependencies, Big Island, HI, USA
IEEE, 8 pp., https://doi.org/10.1109/hicss.2004.1265180,
2004.
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.
Rossman, L. A.: Storm Water Management Model User's Manual, EPA – United States ENviromental Protection Agency, available at:
http://www.epa.gov/water-research/storm-water-management-model-swmm (last access: 1 February 2020), 2015.
Santos-Reyes, J., Gouzeva, T., and Santos-Reyes, G.: Earthquake risk perception and Mexico City's public safety, Procedia Engineer, 84,
662–671, https://doi.org/10.1016/j.proeng.2014.10.484, 2014.
Sapountzaki, K.: Social resilience to environmental risks: A mechanism of vulnerability transfer?, Manag. Environ. Qual. An
Int. J., 18, 274–297, https://doi.org/10.1108/14777830710731743, 2007.
Scarrott, C. and Macdonald, A.: A review of extreme value thresholds estimation and uncertainty quantification, Stat. J., 10, 33–60,
2012.
Schneiderbauer, S. and Ehrlich, D.: Risk, hazard and people's vulnerability to natural hazards: A review of definitions, concepts and
data, Eur. Comm. Jt. Res. Centre. EUR, 21410, 40, https://doi.org/10.1007/978-3-540-75162-5_7, 2004.
Schwarte, N., Cohen, R., Ben-Avraham, D., Barabási, A. L., and Havlin, S.: Percolation in directed scale-free networks, Phys. Rev. E,
66, 1–4, https://doi.org/10.1103/PhysRevE.66.015104, 2002.
Setola, R., Rosato, V., Kyriakides, E., and Rome, E.: Managing the Complexity of Critical Infrastructures, Springer Nature,
Poland, 2016.
SFDRR: Sendai Framework for Disaster Risk Reduction 2015–2030, available at:
https://www.unisdr.org/we/inform/publications/43291 (last access: 18 February 2020), 2015.
Tellman, B., Bausch, J. C., Eakin, H., Anderies, J. M., Mazari-hiriart, M., and Manuel-navarrete, D.: Adaptive pathways and coupled
infrastructure: seven centuries of adaptation to water risk and the production of vulnerability in Mexico City, Ecol. Soc., 23, 1,
https://doi.org/10.5751/ES-09712-230101, 2018.
Terzi, S., Torresan, S., Schneiderbauer, S., Critto, A., Zebisch, M., and Marcomini, A.: Multi-risk assessment in mountain regions?: A
review of modelling approaches for climate change adaptation, J. Environ. Manage., 232, 759–771, https://doi.org/10.1016/j.jenvman.2018.11.100, 2019.
Trucco, P., Cagno, E., and De Ambroggi, M.: Dynamic functional modelling of vulnerability and interoperability of Critical
Infrastructures, Reliab. Eng. Syst. Safe., 105, 51–63, https://doi.org/10.1016/j.ress.2011.12.003, 2012.
Tsuruta M. Shoji Y., Kataoka S., G. Y.: Damage propagation caused by interdependency among critical infrastructures, 14th World
Conf. Earthq. Eng., 8, 2008.
Van Der Hofstad, R.: Percolation and Random Graphs, in: New Perspectives in Stochastic Geometry, edited by: Kendall, W. S. and
Molchanov, I., Eindhoven University of Technology, Eindhoven, the Netherlands, 2009.
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E.: Increasing risk of compound flooding from storm surge and rainfall for
major US cities, Nat. Clim. Change, 5, 1093–1097, https://doi.org/10.1038/nclimate2736, 2015.
Wilson, R. J.: Introduct to Graph Theory, Oliver & Boyd, Edinburgh, 1996.
Zimmerman, R., Foster, S., González, J. E., Jacob, K., Kunreuther, H., Petkova, E. P., and Tollerson, E.: New York City Panel on
Climate Change 2019 Report Chapter 7: Resilience Strategies for Critical Infrastructures and Their Interdependencies, Ann. NY Acad. Sci., 1439,
174–229, https://doi.org/10.1111/nyas.14010, 2019.
Zio, E.: Challenges in the vulnerability and risk analysis of critical infrastructures, Reliab. Eng. Syst. Safe., 152, 137–150,
https://doi.org/10.1016/j.ress.2016.02.009, 2016.
Zscheischler, J., Westra, S., Van Den Hurk, B. J. J. M., Seneviratne, S. I., Ward, P. J., Pitman, A., Aghakouchak, A., Bresch, D. N.,
Leonard, M., Wahl, T., and Zhang, X.: Future climate risk from compound events, Nat. Clim. Change, 8, 469–477, https://doi.org/10.1038/s41558-018-0156-3,
2018.
Short summary
Assessing the risk of complex systems to natural hazards is an important and challenging problem. In today’s socio-technological world, the connections and interdependencies between exposed elements are crucial. These complex relations call for a paradigm shift in collective risk assessment. This paper proposes a holistic, graph-based approach for assessing the risk of complex systems. The feasibility of the approach is discussed by an application to a pilot study in Mexico City.
Assessing the risk of complex systems to natural hazards is an important and challenging...
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