Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4341-2024
© Author(s) 2024. 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-24-4341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection
Sadhana Nirandjan
CORRESPONDING AUTHOR
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Elco E. Koks
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, United Kingdom
Mengqi Ye
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Raghav Pant
Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, United Kingdom
Kees C. H. Van Ginkel
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Inland Water Systems, Deltares, 2629 HV Delft, the Netherlands
Jeroen C. J. H. Aerts
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
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Nat. Hazards Earth Syst. Sci., 25, 2287–2315, https://doi.org/10.5194/nhess-25-2287-2025, https://doi.org/10.5194/nhess-25-2287-2025, 2025
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Nat. Hazards Earth Syst. Sci., 25, 2075–2080, https://doi.org/10.5194/nhess-25-2075-2025, https://doi.org/10.5194/nhess-25-2075-2025, 2025
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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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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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Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, and Paula Camus
Nat. Hazards Earth Syst. Sci., 25, 747–816, https://doi.org/10.5194/nhess-25-747-2025, https://doi.org/10.5194/nhess-25-747-2025, 2025
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Compound flooding, involving the combination or successive occurrence of two or more flood drivers, can amplify flood impacts in coastal/estuarine regions. This paper reviews the practices, trends, methodologies, applications, and findings of coastal compound flooding literature at regional to global scales. We explore the types of compound flood events, their mechanistic processes, and the range of terminology. Lastly, this review highlights knowledge gaps and implications for future practices.
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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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Ileen N. Streefkerk, Jeroen C. J. H. Aerts, Jens de Bruijn, Khalid Hassaballah, Rhoda Odongo, Teun Schrieks, Oliver Wasonga, and Anne F. Van Loon
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Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
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Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g. sea-level rise, land subsidence, and coastal urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
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We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
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This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
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Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, and Jeroen C. J. H. Aerts
Geosci. Model Dev., 16, 2437–2454, https://doi.org/10.5194/gmd-16-2437-2023, https://doi.org/10.5194/gmd-16-2437-2023, 2023
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We present a computer simulation model of the hydrological system and human system, which can simulate the behaviour of individual farmers and their interactions with the water system at basin scale to assess how the systems have evolved and are projected to evolve in the future. For example, we can simulate the effect of subsidies provided on investment in adaptation measures and subsequent effects in the hydrological system, such as a lowering of the groundwater table or reservoir level.
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 14, 255–272, https://doi.org/10.5194/esd-14-255-2023, https://doi.org/10.5194/esd-14-255-2023, 2023
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Spatially compounding soy harvest failures can have important global impacts. Using causal networks, we show that soy yields are predominately driven by summer soil moisture conditions in North and South America. Summer soil moisture is affected by antecedent soil moisture and by remote extra-tropical SST patterns in both hemispheres. Both of these soil moisture drivers are again influenced by ENSO. Our results highlight physical pathways by which ENSO can drive spatially compounding impacts.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Paolo Scussolini, Job Dullaart, Sanne Muis, Alessio Rovere, Pepijn Bakker, Dim Coumou, Hans Renssen, Philip J. Ward, and Jeroen C. J. H. Aerts
Clim. Past, 19, 141–157, https://doi.org/10.5194/cp-19-141-2023, https://doi.org/10.5194/cp-19-141-2023, 2023
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We reconstruct sea level extremes due to storm surges in a past warmer climate. We employ a novel combination of paleoclimate modeling and global ocean hydrodynamic modeling. We find that during the Last Interglacial, about 127 000 years ago, seasonal sea level extremes were indeed significantly different – higher or lower – on long stretches of the global coast. These changes are associated with different patterns of atmospheric storminess linked with meridional shifts in wind bands.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
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This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Weihua Zhu, Kai Liu, Ming Wang, Philip J. Ward, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 22, 1519–1540, https://doi.org/10.5194/nhess-22-1519-2022, https://doi.org/10.5194/nhess-22-1519-2022, 2022
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We present a simulation framework to analyse the system vulnerability and risk of the Chinese railway system to floods. To do so, we develop a method for generating flood events at both the national and river basin scale. Results show flood system vulnerability and risk of the railway system are spatially heterogeneous. The event-based approach shows how we can identify critical hotspots, taking the first steps in developing climate-resilient infrastructure.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Marthe L. K. Wens, Anne F. van Loon, Ted I. E. Veldkamp, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 22, 1201–1232, https://doi.org/10.5194/nhess-22-1201-2022, https://doi.org/10.5194/nhess-22-1201-2022, 2022
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In this paper, we present an application of the empirically calibrated drought risk adaptation model ADOPT for the case of smallholder farmers in the Kenyan drylands. ADOPT is used to evaluate the effect of various top-down drought risk reduction interventions (extension services, early warning systems, ex ante cash transfers, and low credit rates) on individual and community drought risk (adaptation levels, food insecurity, poverty, emergency aid) under different climate change scenarios.
Raed Hamed, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 12, 1371–1391, https://doi.org/10.5194/esd-12-1371-2021, https://doi.org/10.5194/esd-12-1371-2021, 2021
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Soy yields in the US are affected by climate variability. We identify the main within-season climate drivers and highlight potential compound events and associated agricultural impacts. Our results show that soy yields are most negatively influenced by the combination of high temperature and low soil moisture during the summer crop reproductive period. Furthermore, we highlight the role of temperature and moisture coupling across the year in generating these hot–dry extremes and linked impacts.
Weihua Zhu, Kai Liu, Ming Wang, Sadhana Nirandjan, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-277, https://doi.org/10.5194/nhess-2021-277, 2021
Manuscript not accepted for further review
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We use multi-source empirical damage data to generate vulnerability curves and assess the risk of transportation infrastructure to rainfall-induced hazards. The results show large variations in the shape of the vulnerability curves and risk of railway infrastructure in China across the different regions. The usage of multi-source empirical data offer opportunities to perform risk assessments that include spatial detail among regions.
Dirk Eilander, Willem van Verseveld, Dai Yamazaki, Albrecht Weerts, Hessel C. Winsemius, and Philip J. Ward
Hydrol. Earth Syst. Sci., 25, 5287–5313, https://doi.org/10.5194/hess-25-5287-2021, https://doi.org/10.5194/hess-25-5287-2021, 2021
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Digital elevation models and derived flow directions are crucial to distributed hydrological modeling. As the spatial resolution of models is typically coarser than these data, we need methods to upscale flow direction data while preserving the river structure. We propose the Iterative Hydrography Upscaling (IHU) method and show it outperforms other often-applied methods. We publish the multi-resolution MERIT Hydro IHU hydrography dataset and the algorithm as part of the pyflwdir Python package.
Marleen Carolijn de Ruiter, Anaïs Couasnon, and Philip James Ward
Geosci. Commun., 4, 383–397, https://doi.org/10.5194/gc-4-383-2021, https://doi.org/10.5194/gc-4-383-2021, 2021
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Many countries can get hit by different hazards, such as earthquakes and floods. Generally, measures and policies are aimed at decreasing the potential damages of one particular hazard type despite their potential of having unwanted effects on other hazard types. We designed a serious game that helps professionals to improve their understanding of these potential negative effects of measures and policies that reduce the impacts of disasters across many different hazard types.
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021, https://doi.org/10.5194/nhess-21-1011-2021, 2021
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This study presents a state-of-the-art approach to assess flood damage for each unique road segment in Europe. We find a mean total flood risk of EUR 230 million per year for all individual road segments combined. We identify flood hotspots in the Alps, along the Sava River, and on the Scandinavian Peninsula. To achieve this, we propose a new set of damage curves for roads and challenge the community to validate and improve these. Analysis of network effects can be easily added to our analysis.
Jerom P. M. Aerts, Steffi Uhlemann-Elmer, Dirk Eilander, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, https://doi.org/10.5194/nhess-20-3245-2020, https://doi.org/10.5194/nhess-20-3245-2020, 2020
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We compare and analyse flood hazard maps from eight global flood models that represent the current state of the global flood modelling community. We apply our comparison to China as a case study, and for the first time, we include industry models, pluvial flooding, and flood protection standards. We find substantial variability between the flood hazard maps in the modelled inundated area and exposed gross domestic product (GDP) across multiple return periods and in expected annual exposed GDP.
Jens A. de Bruijn, James E. Daniell, Antonios Pomonis, Rashmin Gunasekera, Joshua Macabuag, Marleen C. de Ruiter, Siem Jan Koopman, Nadia Bloemendaal, Hans de Moel, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-282, https://doi.org/10.5194/nhess-2020-282, 2020
Revised manuscript not accepted
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Following hurricanes and other natural hazards, it is important to quickly estimate the damage caused by the hazard such that recovery aid can be granted from organizations such as the European Union and the World Bank. To do so, it is important to estimate the vulnerability of buildings to the hazards. In this research, we use post-disaster observations from social media to improve these vulnerability assessments and show its application in the Bahamas following Hurricane Dorian.
Paolo De Luca, Gabriele Messori, Davide Faranda, Philip J. Ward, and Dim Coumou
Earth Syst. Dynam., 11, 793–805, https://doi.org/10.5194/esd-11-793-2020, https://doi.org/10.5194/esd-11-793-2020, 2020
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In this paper we quantify Mediterranean compound temperature and precipitation dynamical extremes (CDEs) over the 1979–2018 period. The strength of the temperature–precipitation coupling during summer increased and is driven by surface warming. We also link the CDEs to compound hot–dry and cold–wet events during summer and winter respectively.
Cited articles
Acosta, T. S.: Risk assessment of low-rise educational buildings with wooden roof structures against severe wind loadings, J. Asian Architect. Build. Eng., 21, 973–985, https://doi.org/10.1080/13467581.2021.1909596, 2022.
Acosta, T. J. S., Galisim, J. J., Tan, L. R., and Hernandez, J. Y.: Development of Empirical Wind Vulnerability Curves of School Buildings Damaged by the 2016 Typhoon Nina, Proced. Eng., 212, 395–402, https://doi.org/10.1016/j.proeng.2018.01.051, 2018.
Ahmad, K., Sayed, M. A., and Kim, D.: Seismic Fragility of Base-isolated Nuclear Power Plant Structures Considering Spatially Varying Ground Motions, in: 23rd Conference on Structural Mechanics in Reactor Technology, 10–14 August 2015, Manchester, UK, https://doi.org/10.12989/sem.2015.54.1.169, 2015.
Albano, R., Mancusi, L., Sole, A., and Adamowski, J.: FloodRisk: a collaborative, free and open-source software for flood risk analysis, Geomat. Nat. Hazards Risk, 8, 1812–1832, https://doi.org/10.1080/19475705.2017.1388854, 2017.
Argyroudis, S. and Kaynia, A. M.: Fragility Functions of Highway and Railway Infrastructure, in: SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk, vol. 27, edited by: Pitilakis, K., Crowley, H., and Kaynia, A. M., Springer, Dordrecht, 299–326, https://doi.org/10.1007/978-94-007-7872-6, 2014.
Argyroudis, S. and Kaynia, A. M.: Analytical seismic fragility functions for highway and railway embankments and cuts, Earthq. Eng. Struct. Dynam., 44, 1863–1879, https://doi.org/10.1002/eqe.2563, 2015.
Argyroudis, S., Mitoulis, S., Winter, M. G., and Kaynia, A. M.: Fragility of critical transportation infrastructure systems subjected to geo-hazards, in: 16th European conference on earthquake engineering, 18–21 June 2018, Thessaloniki, Greece, https://ikee.lib.auth.gr/record/301881/ (last access: 28 November 2024), 2018.
Baballëku, M. and Pojani, N.: Fragility evaluation of existing typified school buildings in Albania, Ac. Geodaet. Geophys. Hungar., 43, 309–325, https://doi.org/10.1556/AGeod.43.2008.2-3.16, 2008.
Batica, J., Gourbesville, P., Erlich, M., Coulet, C., and Mejean, A.: Xynthia flood, learning from the past events – Introducing a FRI to stakeholders, in: Advances in Hydroinformatics. SimHydro 2017 – Choosing the right model in applied hydraulics, edited by: Gourbesville, P., Cunge, J., and Caignaert, G., Springer Water, 607–619, https://doi.org/10.1007/978-981-10-7218-5, 2018.
Berahman, F. and Behnamfar, F.: Seismic fragility curves for un-anchored on-grade steel storage tanks: Bayesian approach, J. Earthq. Eng., 11, 166–192, https://doi.org/10.1080/13632460601125722, 2007.
Bilionis, D. V. and Vamvatsikos, D.: Wind performance assesment of telecommunication towers: A case study in Greece, in: COMPDYN Proceedings, 24–26 June 2019, Crete, Greece, 5741–5755, https://doi.org/10.7712/120119.7342.19629, 2019.
Bjarnadottir, S., Li, Y., and Stewart, M. G.: Hurricane Risk Assessment of Power Distribution Poles Considering Impacts of a Changing Climate, J. Infrastruct. Syst., 19, 12–24, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000108, 2013.
Bubeck, P. and de Moel, H.: Sensitivity analysis of flood damage calculations for the river Rhine, IVM – Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, https://research.vu.nl/ws/portalfiles/portal/2908570/260878.pdf (last access: 28 November 2024), 2010.
Bubeck, P., De Moel, H., Bouwer, L. M., and Aerts, J. C. J. H.: How reliable are projections of future flood damage?, Nat. Hazards Earth Syst. Sci., 11, 3293–3306, https://doi.org/10.5194/nhess-11-3293-2011, 2011.
Bubeck, P., Dillenardt, L., Alfieri, L., Feyen, L., Thieken, A. H., and Kellermann, P.: Global warming to increase flood risk on European railways, Climatic Change, 155, 19–36, https://doi.org/10.1007/s10584-019-02434-5, 2019.
Cai, Y., Xie, Q., Xue, S., Hu, L., and Kareem, A.: Fragility modelling framework for transmission line towers under winds, Eng. Struct., 191, 686–697, https://doi.org/10.1016/j.engstruct.2019.04.096, 2019.
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, https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_0726.pdf (last access: 28 November 2024) 2012.
D'Amico, M. and Buratti, N.: Observational Seismic Fragility Curves for Steel Cylindrical Tanks, J. Press. Vessel Technol., 141, 010904, https://doi.org/10.1115/1.4040137, 2019.
Darestani, Y. M. and Shafieezadeh, A.: Multi-dimensional wind fragility functions for wood utility poles, Eng. Struct., 183, 937–948, https://doi.org/10.1016/j.engstruct.2019.01.048, 2019.
D'Ayala, D., Meslem, A., Vamvatsikos, D., Porter, K., Rosetto, T., and Silva, V.: Guidelines for Analytical Vulnerability Assessment of Low/Mid-Rise Buildings, vulnerability global component project, https://cloud-storage.globalquakemodel.org/public/wix-new-website/pdf-collections-wix/publications/Guidelines for Analytical Vulnerability Assessment - Low_Mid-Rise.pdf (last access: 24 November 2024), 2015a.
D'Ayala, D., Gehl, P., Gehl, P., Martinovic, K., Gavin, K., Clarke, J., Tucker, M., Corbally, R., Avdeeva, Y., van Gelder, P., Salceda Page, M. T., and Segarra Martinez, M. J.: INFRARISK. Novel indicators for identifying critical INFRAstructure at RISK from Natural Hazards, Deliverable D3.2 – Fragility Functions Matrix, https://www.infrarisk-fp7.eu/deliverables (last access: 28 November 2024), 2015b.
D'Ayala, D., Galasso, C., Nassirpour, A., Adhikari, R. K., Yamin, L., Fernandez, R., Lo, D., Garciano, L., and Oreta, A.: Resilient communities through safer schools, Int. J. Disast. Risk Reduct., 45, 101446, https://doi.org/10.1016/j.ijdrr.2019.101446, 2020.
de Bruijn, K., Wagenaar, D., Slager, K., de Bel, M., and Burzel, A.: Updated and improved method for flood damage assessment: SSM2015 (version 2), Deltares, 125 pp., https://open.rijkswaterstaat.nl/open-overheid/onderzoeksrapporten/@273917/updated-and-improved-method-for-flood/ (last access: 28 November 2024), 2015.
De Ruiter, M. C., Ward, P. J., Daniell, J. E., and Aerts, J. C. J. H.: Review Article: A comparison of flood and earthquake vulnerability assessment indicators, Nat. Hazards Earth Syst. Sci., 17, 1231–1251, https://doi.org/10.5194/nhess-17-1231-2017, 2017.
Djordjević, S.: Project final report: CORFU – Collaborative research on flood resilience in urban areas, 45 pp., https://cordis.europa.eu/docs/results/244/244047/final1-corfu-project-final-report.pdf (last access: 28 November 2024), 2014.
Dottori, F., Mentaschi, L., Bianchi, A., Alfieri, L., and Feyen, L.: Cost-effective adaptation strategies to rising river flood risk in Europe, Nat. Clim. Change, 13, 196–202, https://doi.org/10.1038/s41558-022-01540-0, 2023.
Douglas, J.: Physical vulnerability modelling in natural hazard risk assessment, Nat. Hazards Earth Syst. Sci., 7, 283–288, https://doi.org/10.5194/nhess-7-283-2007, 2007.
Dunn, S., Wilkinson, S., Alderson, D., Fowler, H., and Galasso, C.: Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database, Nat. Hazards Rev., 19, 1–10, https://doi.org/10.1061/(asce)nh.1527-6996.0000267, 2018.
Eidinger, J. M.: Water-distribution, in: US Geological Survey Professional Paper No. 1552, edited by: Schiff, A. J. and Holzer, T. L., US Government Printing Office, Washington, D.C., 63–78, https://pubs.usgs.gov/dds/dds-29/web_pages/P1550-1553_TOC.pdf (last access: 28 November 2024), 1984.
Eidinger, J. M., Avila, E. A., Ballantyne, D., Cheng, L., der Kiureghian, A., Maison, B. F., O'Rourke, T. D., and Power, M.: Seismic fragility formulations for water systems. Part 1 – Guideline, ALA – American Lifelines Alliance, ASCE – American Society of Civil Engineers, https://www.americanlifelinesalliance.com/pdf/Part_1_Guideline.pdf (last access: 28 November 2024), 2001.
FEMA: Multi-hazard loss estimation methodology: flood model, Department of Homeland Security and Federal Emergency Management Agency, Washington, D.C., 569 pp., https://www.fema.gov/sites/default/files/2020-09/fema_hazus_flood-model_technical-manual_2.1.pdf (last access: 28 November 2024), 2013.
FEMA: Hazus Earthquake Model Technical Manual: Hazus 4.2 SP3, Federal Emergency Management Agency, 436 pp., https://www.fema.gov/sites/default/files/2020-10/fema_hazus_earthquake_technical_manual_4-2.pdf (last access: 28 November 2024), 2020.
FEMA: Hazus Hurricane Model Technical Manual: Hazus 4.2 Service Pack 3, Federal Emergency Management Agency, 624 pp., https://www.fema.gov/sites/default/files/documents/fema_hazus-hurricane-technical-manual-4.2.3_0.pdf (last access: 28 November 2024), 2021a.
FEMA: Hazus Inventory Technical Manual: Hazus 4.2 Service Pack 3, Federal Emergency Management Agency, 185 pp., https://www.fema.gov/sites/default/files/documents/fema_hazus-inventory-technical-manual-4.2.3.pdf (last access: 28 November 2024), 2021b.
Ferlisi, S., Marchese, A., and Peduto, D.: Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy), Landslides, 18, 303–319, https://doi.org/10.1007/s10346-020-01482-8, 2021.
Fu, X., Li, H.-N., Tian, L., Wang, J., and Cheng, H.: Fragility Analysis of Transmission Line Subjected to Wind Loading, J. Perform. Constr. Facil., 33, 04019044, https://doi.org/10.1061/(ASCE)CF.1943-5509.0001311, 2019.
Galli, M. and Guzzetti, F.: Landslide vulnerability criteria: A case study from Umbria, central Italy, Environ. Manage., 40, 649–664, https://doi.org/10.1007/s00267-006-0325-4, 2007.
Gao, S. and Wang, S.: Progressive Collapse Analysis of Latticed Telecommunication Towers under Wind Loads, Adv. Civ. Eng., 2018, 3293506, https://doi.org/10.1155/2018/3293506, 2018.
Gautam, D. and Rupakhety, R.: Empirical seismic vulnerability analysis of infrastructure systems in Nepal, Bull. Earthq. Eng., 19, 6113–6127, https://doi.org/10.1007/s10518-021-01219-5, 2021.
Gentile, R., Cremen, G., Galasso, C., Jenkins, L. T., Manandhar, V., Menteşe, E. Y., Guragain, R., and McCloskey, J.: Scoring, selecting, and developing physical impact models for multi-hazard risk assessment, Int. J. Disast. Risk Reduct., 82, 103365, https://doi.org/10.1016/j.ijdrr.2022.103365, 2022.
Ghanaat, Y., Patev, R. C., and Chudgar, A. K.: Seismic fragility analysis of concrete gravity dams, in: 15th world conference on earthquake engineering, Lisbon, Portugal, https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_4524.pdf (last access: 28 November 2024), 2012.
Gill, J. C. and Malamud, B. D.: Reviewing and visualizing the interactions of natural hazards, Rev. Geophys., 52, 680–722, https://doi.org/10.1002/2013RG000445, 2014.
Giordano, N., De Luca, F., and Sextos, A.: Analytical fragility curves for masonry school building portfolios in Nepal, Bull. Earthq. Eng., 19, 1121–1150, https://doi.org/10.1007/s10518-020-00989-8, 2021a.
Giordano, N., De Luca, F., Sextos, A., Ramirez Cortes, F., Fonseca Ferreira, C., and Wu, J.: Empirical seismic fragility models for Nepalese school buildings, Nat. Hazards, 105, 339–362, https://doi.org/10.1007/s11069-020-04312-1, 2021b.
Glade, T.: Vulnerability assessment in landslide risk analysis, Erde, 134, 123–146, 2003.
Glas, H., Jonckheere, M., Mandal, A., James-Williamson, S., De Maeyer, P., and Deruyter, G.: A GIS-based tool for flood damage assessment and delineation of a methodology for future risk assessment: case study for Annotto Bay, Jamaica, Nat. Hazards, 88, 1867–1891, https://doi.org/10.1007/s11069-017-2920-5, 2017.
González de Paz, L. V., García, D. A., and Rosales, M. B.: R reliability of wood utility poles under stochastic wind load and material considering knots, Mecánica Computacional, 35, 1231–1241, 2017.
Habermann, N. and Hedel, R.: Damage functions for transport infrastructure, Int. J. Disast. Resil. Built Environ., 9, 420–434, https://doi.org/10.1108/IJDRBE-09-2017-0052, 2018.
Han, S. R., Rosowsky, D., and Guikema, S.: Integrating Models and Data to Estimate the Structural Reliability of Utility Poles During Hurricanes, Risk Anal., 34, 1079–1094, https://doi.org/10.1111/risa.12102, 2014.
Hancilar, U., Çakt, E., Erdik, M., Franco, G. E., and Deodatis, G.: Earthquake vulnerability of school buildings: Probabilistic structural fragility analyses, Soil Dynam. Earthq. Eng., 67, 169–178, https://doi.org/10.1016/j.soildyn.2014.09.005, 2014.
Huizinga, H. J.: Flood damage functions for EU member states, Lelystad, the Netherlands, 67 pp., 2007.
Huizinga, J., de Moel, H., and Szewczyk, W.: Global flood depth-damage functions: Methodology and the Database with Guidelines, JRC – Joint Research Centre, 108 pp., https://doi.org/10.2760/16510, 2017.
Hur, J. and Shafieezadeh, A.: Multi-Hazard Probabilistic Risk Analysis of Off-Site Overhead Transmission Systems, in: SMiRT-25, 5–9 August 2019, Charlotte, NC, USA, https://repository.lib.ncsu.edu/server/api/core/bitstreams/d3631bc1-af2f-493d-8988-0deff7a80a7e/content (last access: 28 November 2024), 2019.
ICPR: Übersichtskarten der Überschwemmungsgefährdung und der möglichen Vermögensschäden am Rhein, Abschluss-bericht: Vorgehensweise zur Ermittlung der möglichen Vermögensschäden, International Commission for the Protection of the Rhine, Wiesbaden, Heidelberg, Nijmwegen, München, 44 pp., 2001.
IPCC: Summary for policymakers, in: Climate change 2022: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, vol. 9781107025, edited by: Pörtner, H.-O., Roberts, D. C., Tignor, M., Poloczanska, E. S., Mintenbeck, K., Alegria, A., Craig, M., Langsdorf, S., Löschke, S., Möller, V., Okem, A., and Rama, B., Cambridge University Press, Cambridge, UK and New York, NY, USA, 3–33, https://doi.org/10.1017/CBO9781139177245.003, 2022.
Izaguirre, C., Losada, I. J., Camus, P., Vigh, J. L., and Stenek, V.: Climate change risk to global port operations, Nat. Clim. Change, 11, 14–20, https://doi.org/10.1038/s41558-020-00937-z, 2021.
Jaimes, M. A., García-Soto, A. D., Martín del Campo, J. O., and Pozos-Estrada, A.: Probabilistic risk assessment on wind turbine towers subjected to cyclone-induced wind loads, Wind Energy, 23, 528–546, https://doi.org/10.1002/we.2436, 2020.
Jaiswal, P., Van Westen, C. J., and Jetten, V.: Quantitative assessment of direct and indirect landslide risk along transportation lines in southern India, Nat. Hazards Earth Syst. Sci., 10, 1253–1267, https://doi.org/10.5194/nhess-10-1253-2010, 2010.
Jaiswal, P., Van Westen, C. J., and Jetten, V.: Quantitative estimation of landslide risk from rapid debris slides on natural slopes in the Nilgiri hills, India, Nat. Hazards Earth Syst. Sci., 11, 1723–1743, https://doi.org/10.5194/nhess-11-1723-2011, 2011.
Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L., Gericke, A., Neal, J., Aerts, J. C. J. H., and Ward, P. J.: Comparative flood damage model assessment: towards a European approach, Nat. Hazards Earth Syst. Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, 2012.
Kakderi, K. and Argyroudis, S.: Fragility Functions of Water and Waste-Water Systems, in: Geotechnical, Geological and Earthquake Engineering, vol. 27, edited by: Pitilakis, K., Crowley, H., and Kaynia, A., Springer, Dordrecht, 221–258, https://doi.org/10.1007/978-94-007-7872-6_8, 2014.
Kellermann, P., Schöbel, A., Kundela, G., and Thieken, A. H.: Estimating flood damage to railway infrastructure - The case study of the March River flood in 2006 at the Austrian Northern Railway, Nat. Hazards Earth Syst. Sci., 15, 2485–2496, https://doi.org/10.5194/nhess-15-2485-2015, 2015.
Kellermann, P., Schönberger, C., and Thieken, A. H.: Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL), Nat. Hazards Earth Syst. Sci., 16, 2357–2371, https://doi.org/10.5194/nhess-16-2357-2016, 2016.
Kok, M., Huizinga, H. J., and Barendregt, A.: Standard Method 2004: Damage and Casualties Caused by Flooding, 56 pp., https://open.rijkswaterstaat.nl/open-overheid/onderzoeksrapporten/@187575/standard-method-2004-damage-and/ (last access: 28 November 2024), 2005.
Koks, E. E., van Ginkel, K. C. H., van Marle, M. J. E., and Lemnitzer, A.: Brief communication: Critical infrastructure impacts of the 2021 mid-July western European flood event, Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, 2022.
Konovalov, A., Gensiorovskiy, Y., Lobkina, V., Muzychenko, A., Stepnova, Y., Muzychenko, L., Stepnov, A., and Mikhalyov, M.: Earthquake-induced landslide risk assessment: An example from Sakhalin Island, Russia, Geosciences, 9, 1–15, https://doi.org/10.3390/geosciences9070305, 2019.
Kreibich, H., Piroth, K., Seifert, I., Maiwald, H., Kunert, U., Schwarz, J., Merz, B., and Thieken, A. H.: Is flow velocity a significant parameter in flood damage modelling?, Nat. Hazards Earth Syst. Sci., 9, 1679–1692, https://doi.org/10.5194/nhess-9-1679-2009, 2009.
Lee, R., White, C. J., Adnan, M. S. G., Douglas, J., Mahecha, M. D., O'Loughnin, F. E., Patelli, E., Ramos, A. M., Roberts, M., Martius, O., Tubaldi, E., van den Hurk, B., Ward, P. J., and Zscheischler, J.: Reclassifying historical disasters: From single to multi-hazards, Sci. Total Environ., 912, 169120, https://doi.org/10.1016/j.scitotenv.2023.169120, 2024.
Lee, S. and Ham, Y.: Probabilistic framework for assessing the vulnerability of power distribution infrastructures under extreme wind conditions, Sustain. Cities Soc., 65, 102587, https://doi.org/10.1016/j.scs.2020.102587, 2021.
Liu, M., Giovinazzi, S., and Lee, P.: Seismic Fragility Functions for Sewerage Pipelines, in: Pipelines 2015, ASCE Library, 291–303, https://doi.org/10.1061/9780784479360.028, 2015.
Long, X., Wang, W., and Fan, J.: Collapse Analysis of Transmission Tower Subjected to Earthquake Ground Motion, Model. Simul. Eng., 2018, 1–20, https://doi.org/10.1155/2018/2687561, 2018.
López, A. L., Rocha, L. E. P., De León Escobedo, D., and Sesma, J. S.: Reliability and vulnerability analysis of electrical substations and transmission towers for definition of wind and seismic damage maps for Mexico, in: 11th Americas Conference on Wind Engineering, 22–26 June 2009, San Juan, Puerto Rico, https://iawe.org/Proceedings/11ACWE/11ACWE-Lopez.pdf (last access: 28 November 2024), 2009.
Marshall, A., Wilson, C.-A., and Dale, A.: Telecommunications and natural disasters in rural Australia: The role of digital capability in building disaster resilience, J. Rural Stud., 100, 102996, https://doi.org/10.1016/j.jrurstud.2023.03.004, 2023.
Martín del Campo, J. O., Pozos-Estrada, A., and Pozos-Estrada, O.: Development of fragility curves of land-based wind turbines with tuned mass dampers under cyclone and seismic loading, Wind Energy, 24, 737–753, https://doi.org/10.1002/we.2600, 2021.
Martinoviæ, K., Gavin, K., and Reale, C.: Assessing the Vulnerability of Irish Rail Network Earthworks, Transport. Res. Proced., 14, 1904–1913, https://doi.org/10.1016/j.trpro.2016.05.157, 2016.
Martins, L., Silva, V., Marques, M., Crowley, H., and Delgado, R.: Development and assessment of damage-to-loss models for moment-frame reinforced concrete buildings, Earthq. Eng. Struct. Dynam., 45, 797–817, https://doi.org/10.1002/eqe.2687, 2016.
Maruyama, Y., Yamazaki, F., Mizuno, K., Tsuchiya, Y., and Yogai, H.: Fragility curves for expressway embankments based on damage datasets after recent earthquakes in Japan, Soil Dynam. Earthq. Eng., 30, 1158–1167, https://doi.org/10.1016/j.soildyn.2010.04.024, 2010.
McKenna, G., Argyroudis, S. A., Winter, M. G., and Mitoulis, S. A.: Multiple hazard fragility analysis for granular highway embankments: Moisture ingress and scour, Transport. Geotech., 26, 100431, https://doi.org/10.1016/j.trgeo.2020.100431, 2021.
Meyer, V. and Messner, F.: National Flood Damage Evaluation Methods: a review of applied methods in England, the Netherlands, the Czech Republic and Germany, 49 pp., https://resolver.tudelft.nl/uuid:be6411ec-df6c-4c3b-b03e-6b521222032b (last access: 28 November 2024) 2005.
Meyer, V., Becker, N., Markantonis, V., Schwarze, R., Van Den Bergh, J. C. J. M., Bouwer, L. M., Bubeck, P., Ciavola, P., Genovese, E., Green, C., Hallegatte, S., Kreibich, H., Lequeux, Q., Logar, I., Papyrakis, E., Pfurtscheller, C., Poussin, J., Przyluski, V., Thieken, A. H., and Viavattene, C.: Review article: Assessing the costs of natural hazards-state of the art and knowledge gaps, Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, 2013.
MI – Miyamoto International: Increasing infrastructure resilience background report, The World Bank Group, Washington, D.C., https://documents1.worldbank.org/curated/en/620731560526509220/pdf/Technical-Annex.pdf (last access: 28 November 2024), 2019.
Milutinovic, Z. V. and Trendafiloski, G. S.: RISK-UE: An advanced approach to earthquake risk scenarios with applications to different European towns, WP4: Vulnerability of current buildings, http://www.civil.ist.utl.pt/~mlopes/conteudos/DamageStates/Risk UE WP04_Vulnerability.pdf (last access: 28 November 2024), 2003.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., and The PRISMA Group: Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement, PLoS Medicine, 6, 1–6, https://doi.org/10.1371/journal.pmed.1000097, 2009.
Muntasir Billah, A. H. M. and Shahria Alam, M.: Seismic fragility assessment of highway bridges: a state-of-the-art review, Struct. Infrastruct. Eng., 11, 804–832, https://doi.org/10.1080/15732479.2014.912243, 2015.
Myers, A. T., Gupta, A., Ramirez, C. M., and Chioccarelli, E.: Evaluation of the seismic vulnerability of tubular wind turbine towers, in: 15th world conference on earthquake engineering, Lisbon, Portugal, https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_4483.pdf (last access: 28 November 2024), 2012.
Nagata, S., Yamamoto, K., Ishida, H., and Kusaka, A.: Estimation of fragility curve of sewerage pipes due to seismic damaged data, Proced. Eng., 14, 1887–1896, https://doi.org/10.1016/j.proeng.2011.07.237, 2011.
Nayak, J.: Landslide risk assessment along a major road corridor based on historical landslide inventory and traffic analysis, University of Twente, Enschede, the Netherlands, 104 pp., https://essay.utwente.nl/92538/1/Jagannah.pdf (last access: 28 November 024), 2010.
Nieto, N., Chamorro, A., Echaveguren, T., Sáez, E., and González, A.: Development of fragility curves for road embankments exposed to perpendicular debris flows, Geomat. Nat. Hazards Risk, 12, 1560–1583, https://doi.org/10.1080/19475705.2021.1935330, 2021.
Nirandjan, S., Koks, E. E., Ward, P. J., and Aerts, J. C. J. H.: A spatially-explicit harmonized global dataset of critical infrastructure, Sci. Data, 9, 150, https://doi.org/10.1038/s41597-022-01218-4, 2022.
Nirandjan, S., Koks, E. E., Ye, M., Pant, R., van Ginkel, K. C. H., Aerts, J. C. J. H., and Ward, P. J.: Dataset: Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assessments (V1.1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.13889558, 2024.
Nuta, E., Christopoulos, C., and Packer, J. A.: Methodology for seismic risk assessment for tubular steel wind turbine towers: Application to canadian seismic environment, Can. J. Civ. Eng., 38, 293–304, https://doi.org/10.1139/L11-002, 2011.
Olivar, O. J. R., Mayorga, S. Z., Giraldo, F. M., Sánchez-Silva, M., Pinelli, J. P., and Salzano, E.: The effects of extreme winds on atmospheric storage tanks, Reliabil. Eng. Syst. Safe., 195, 1–7, https://doi.org/10.1016/j.ress.2019.106686, 2020.
Omidvar, B., Azizi, R., and Abdollahi, Y.: Seismic Risk Assessment of Power Substations, Environ. Energ. Econ. Res., 1, 43–60, https://doi.org/10.22097/eeer.2017.46456, 2017.
O'Rourke, M. and Ayala, G.: Pipeline damage due to wave propagation, J. Geotech. Eng., 119, 1490–1498, https://doi.org/10.1061/(ASCE)0733-9410(1993)119:9(1490), 1993.
O'Rourke, M. J. and So, P.: Seismic fragility curves for on-grade steel tanks, Earthq. Spectra, 16, 801–815, https://doi.org/10.1193/1.1586140, 2000.
Özdemir, T. E., Yetemen, O., and Aslan, Z.: Investigation of High Wind Events at the Major Airports in Turkey, Technical Soaring, 42, 10–15, 2018.
Palin, E. J., Stipanovic Oslakovic, I., Gavin, K., and Quinn, A.: Implications of climate change for railway infrastructure, Wiley Interdisciplin. Rev.: Clim. Change, 12, 1–41, https://doi.org/10.1002/wcc.728, 2021.
Panteli, M. and Mancarella, P.: Modeling and Evaluating the Resilience of Critical Electrical Power Infrastructure to Extreme Weather Events, IEEE Syst. J., 11, 1733–1742, https://doi.org/10.1109/JSYST.2015.2389272, 2017.
Panteli, M., Pickering, C., Wilkinson, S., Dawson, R., and Mancarella, P.: Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures, IEEE Trans. Power Syst., 32, 3747–3757, https://doi.org/10.1109/TPWRS.2016.2641463, 2017.
Penning-Rowsell, E., Priest, S., Parker, D., Morris, J., Tunstall, S., Viavattene, C., Chatterton, J., and Owen, D.: Flood and Coastal Risk Management – a Manual for Economic Appraisal, Routledge, ISBN 978-0-203-06639-3, 2013.
Piccinelli, R. and Krausmann, E.: Analysis of natech risk for pipelines: A review, Publications Office of the European Union, https://doi.org/10.2788/42532, 2013.
Pineda-porras, O. A. and Ordaz, M.: Seismic Damage Estimation in Buried Pipelines Due to Future Earthquakes – The Case of the Mexico City Water System, in: Earthquake resistant structures: design, assessment and rehabilitation, INTECH Open Access Publisher, 131–150, https://doi.org/10.5772/29358, 2012.
QT – Quanta Technology: Undergrounding Assessment Phase 3 Report: Ex Ante Cost and Benefit Modeling, https://woodpoles.org/portals/2/documents/UndergroundingAssessment_P3.pdf (last access: 28 November 2024), 2008.
QT – Quanta Technology: Cost-Benefit Analysis of the Deployment of Utility Infrastructure Upgrades and Storm Hardening Programs, Final Report, https://ftp.puc.texas.gov/public/puct-info/industry/electric/reports/infra/utlity_infrastructure_upgrades_rpt.pdf (last access: 28 November 2023), 2009.
Raj, S. V, Kumar, M., and Bhatia, U.: Fragility curves for power transmission towers in Odisha, India, based on observed damage during 2019 Cyclone Fani, arXiv [preprint], 1–20, https://doi.org/10.48550/arXiv.2107.06072, 2021.
Ranjbar, P. R. and Naderpour, H.: Probabilistic evaluation of seismic resilience for typical vital buildings in terms of vulnerability curves, Structures, 23, 314–323, https://doi.org/10.1016/j.istruc.2019.10.017, 2020.
Reinoso, E., Niño, M., Berny, E., and Inzunza, I.: Wind Risk Assessment of Electric Power Lines due to Hurricane Hazard, Nat. Hazards Rev., 21, 1–14, https://doi.org/10.1061/(asce)nh.1527-6996.0000363, 2020.
Remondo, J., Bonachea, J., and Cendrero, A.: Quantitative landslide risk assessment and mapping on the basis of recent occurrences, Geomorphology, 94, 496–507, https://doi.org/10.1016/j.geomorph.2006.10.041, 2008.
Sadashiva, V. K., Dellow, G. D., Nayyerloo, M., and Sherson, A.: Simple buried pipeline fragility models based on data from the 2011 Canterbury earthquakes, in: NZGS Symposium 2021: Good grounds for the future, 24–26 March 2021, Dunedin, New Zealand, https://fl-nzgs-media.s3.amazonaws.com/uploads/2022/06/Sadashiva-_NZGS2021_Submission_Ref-0223_Create-1.pdf (last access: 28 November 2024), 021.
Sadeghi, M., Mohajeri, F., and Khalaghi, E.: Seismic performance and communication failure of cell phone towers in Iran's seismic zones, case study: developing structural and communicational fragility curves for 24 m monopole tower, in: Joint Conference Proceedings 7th International Conference on Urban Earthquake Engineering (7CUEE) and 5th International Conference on Earthquake Engineering (5ICEE), Tokyo Institute of Technology, Tokyo, Japan, https://www.researchgate.net/profile/Mehdi-Sadeghi-16/publication/277312345_Seismic_Performance_and (last access: 28 November 2024), 2010.
Sadeghi, M., Hosseini, M., and Lahiji, N. P.: Developing Fragility Curves for Seismic Vulnerability Assessment of Tubular Steel Power Transmission Tower Based on Incremental Dynamic Analysis, in: 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_3407.pdf (last access: 28 November 2024), 2012.
Salman, A. M. and Li, Y.: Age-dependent fragility and life-cycle cost analysis of wood and steel power distribution poles subjected to hurricanes, Struct. Infrastruct. Eng., 12, 890–903, https://doi.org/10.1080/15732479.2015.1053949, 2016.
Samadian, D., Ghafory-ashtiany, M., Naderpour, H., and Eghbali, M.: Seismic resilience evaluation based on vulnerability curves for existing and retrofitted typical RC school buildings, Soil Dynam. Earthq. Eng., 127, 105844, https://doi.org/10.1016/j.soildyn.2019.105844, 2019.
Sandhu, H. S. and Raja, S.: No broken link: The Vulnerability of Telecommunication Infrastructure to Natural Hazards, Sector note for LIFELINES: The Resilient Infrastructure Opportunity, The World Bank Group, Washington, D.C., https://documents1.worldbank.org/curated/es/95199156079175 (last access: 28 November 2024), 2019.
Schneiderbauer, S., Calliari, E., Eidsvig, U., and Hagenlocher, M.: The most recent view of vulnerability, in: Science for Disaster Risk Management 2017: knowing better and loosing less, edited by: Poljansek, K., Marin Ferrer, M., De Groeve, T., and Clark, I., Publications Office of the European Union, 70–84, https://doi.org/10.2788/688605, 2017.
Shafieezadeh, A., Onyewuchi, U. P., Begovic, M. M., and Desroches, R.: Age-dependent fragility models of utility wood poles in power distribution networks against extreme wind hazards, IEEE Trans. Power Deliv., 29, 131–139, https://doi.org/10.1109/TPWRD.2013.2281265, 2014.
Shih, B. and Chang, C.: Damage Survey of Water Supply Systems and Fragility Curve of PVC Water Pipelines in the Chi – Chi Taiwan Earthquake, Nat. Hazards, 37, 71–85, https://doi.org/10.1007/s11069-005-4657-9, 2006.
Shinoda, M., Nakajima, S., Watanabe, K., Nakamura, S., Yoshida, I., and Miyata, Y.: Practical seismic fragility estimation of Japanese railway embankments using three seismic intensity measures, Soils Foundat., 62, 101160, https://doi.org/10.1016/j.sandf.2022.101160, 2022.
Stewart, M. G. and Rosowsky, D. V: Extreme Events for Infrastructure: Uncertainty and Risk, in: Engineering for Extremes, edited by: Stewart, M. G. and Rosowsky, D. V., Springer, Cham, 3–30, https://doi.org/10.1007/978-3-030-85018-0, 2022.
Teoh, Y. E., Alipour, A., and Cancelli, A.: Probabilistic performance assessment of power distribution infrastructure under wind events, Eng. Struct., 197, 109199, https://doi.org/10.1016/j.engstruct.2019.05.041, 2019.
The World Bank Group: Fragility and Vulnerability Assessment Guide – GLOSI The Global Library Of School Infrastructure GPSS, Washington, D.C., https://gpss.worldbank.org/sites/gpss/files/2019-10/Fragility and Vulnerability Assessment Guide.pdf (last access: 28 November 2024), 2019.
The World Bank Group: Inflation, consumer prices (annual %), https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG (last access: 2 November 2023), 2023.
Tian, L., Zhang, X., and Fu, X.: Collapse Simulations of Communication Tower Subjected to Wind Loads Using Dynamic Explicit Method, J. Perform. Construct. Facil., 34, 1–12, https://doi.org/10.1061/(asce)cf.1943-5509.0001434, 2020.
Tsubaki, R., Bricker, J. D., Ichii, K., and Kawahara, Y.: Development of fragility curves for railway embankment and ballast scour due to overtopping flood flow, Nat. Hazards Earth Syst. Sci., 16, 2455–2472, https://doi.org/10.5194/nhess-16-2455-2016, 2016.
UNDRR – United Nations Office for Disaster Risk Reduction: Sendai Framework for Disaster Risk Reduction 2015–2030, UNDRR, Geneva, Switzerland, 37 pp., https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030 (last access: 28 November 2024), 2015.
UNDRR – United Nations Office for Disaster Risk Reduction: Disaster Risk Reduction Terminology, https://www.undrr.org/terminology (last access: 19 August 2022), 2022.
Vafaei, M. and Alih, S. C.: Seismic vulnerability of air traffic control towers, Nat. Hazards, 90, 803–822, https://doi.org/10.1007/s11069-017-3072-3, 2018.
Van Ginkel, K. C. H., Dottori, F., Alfieri, L., Feyen, L., and Koks, E. E.: Flood risk assessment of the European road network, Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021, 2021.
Vanneuville, W., Maddens, R., Collard, C., Bogaert, P., De Maeyer, P., and Antrop, M.: Impact op mens en economie t.g.v. overstromingen bekeken in het licht van wijzigende hydraulische condities, omgevingsfactoren en klimatologische omstandigheden, Vlaanderen, België, 120 pp., https://archief.algemeen.omgeving.vlaanderen.be/xmlui/bitstream/handle/acd/761881/2006-02-Impact-overstromingen-website-versie.pdf?sequence=1&isAllowed=y (last access: 28 November 2024), 2006.
Verschuur, J., Koks, E. E., Li, S., and Hall, J. W.: Multi-hazard risk to global port infrastructure and resulting trade and logistics losses, Commun. Earth Environ., 4, 1–12, https://doi.org/10.1038/s43247-022-00656-7, 2023.
Virella, J. C., Portela, G., and Godoy, L. A.: Toward an inventory and vulnerability of aboveground storage tanks in Puerto Rico, in: Fourth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCEI'2006), Breaking Frontiers and Barriers in Engineering: Education, Research and Practice, 21–23 June 2006, Mayagüez, Puerto Rico, https://laccei.org/LACCEI2006-PuertoRico/Papers -pdf/ENE057_Virella.pdf (last access: 28 November 2024), 2006.
Vrisou van Eck, N. and Kok, M.: Standaardmethode schade en slachteroffers als gevolg van overstromingen, HKV lijn in water, https://open.rijkswaterstaat.nl/open-overheid/onderzoeksrapporten/@109942/standaardmethode-schade-slachtoffers/ (last access: 28 November 2024) 2001.
Watson, E. B. and Etemadi, A. H.: Modeling Electrical Grid Resilience under Hurricane Wind Conditions with Increased Solar and Wind Power Generation, IEEE Trans. Power Syst., 35, 929–937, https://doi.org/10.1109/TPWRS.2019.2942279, 2020.
Winter, M. G., Smith, J. T., Fotopoulou, S., Pitilakis, K., Mavrouli, O., Corominas, J., and Argyroudis, S.: An expert judgement approach to determining the physical vulnerability of roads to debris flow, Bull. Eng. Geol. Environ., 73, 291–305, https://doi.org/10.1007/s10064-014-0570-3, 2014.
Xue, J., Mohammadi, F., Li, X., Sahraei-Ardakani, M., Ou, G., and Pu, Z.: Impact of transmission tower-line interaction to the bulk power system during hurricane, Reliabil. Eng. Syst. Safe., 203, 1–11, https://doi.org/10.1016/j.ress.2020.107079, 2020.
Yepes-Estrada, C., Silva, V., Rossetto, T., D'Ayala, D., Ioannou, I., Meslem, A., and Crowley, H.: The Global Earthquake Model Physical Vulnerability Database, Earthq. Spectra, 32, 2567–2585, https://doi.org/10.1193/011816EQS015DP, 2016.
Yoon, S., Lee, Y., and Jung, H.: A comprehensive framework for seismic risk assessment of urban water transmission networks, Int. J. Disast. Risk Reduct., 31, 983–994, https://doi.org/10.1016/j.ijdrr.2018.09.002, 2018.
Yuan, H., Zhang, W., Zhu, J., and Bagtzoglou, A. C.: Resilience Assessment of Overhead Power Distribution Systems under Strong Winds for Hardening Prioritization, ASCE-ASME J. Risk Uncertain. Eng. Syst. Pt. A, 4, 1–10, https://doi.org/10.1061/ajrua6.0000988, 2018.
Zêzere, J. L., Garcia, R. A. C., Oliveira, S. C., and Reis, E.: Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal), Geomorphology, 94, 467–495, https://doi.org/10.1016/j.geomorph.2006.10.040, 2008.
Zheng, H.-D., Fan, J., and Long, X.-H.: Analysis of the seismic collapse of a high-rise power transmission tower structure, J. Construct. Steel Res., 134, 180–193, https://doi.org/10.1016/j.jcsr.2017.03.005, 2017.
Zhu, J., Liu, K., Wang, M., Xu, W., Liu, M., and Zheng, J.: An empirical approach for developing functions for the vulnerability of roads to tropical cyclones, Transport. Res. Pt. D, 102, 103136, https://doi.org/10.1016/j.trd.2021.103136, 2022.
Zhu, W., Liu, K., Wang, M., Nirandjan, S., and Koks, E. E.: Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data, Nat. Hazards, 115, 1525–1548, https://doi.org/10.1007/s11069-022-05605-3, 2023.
Short summary
Critical infrastructures (CIs) are exposed to natural hazards, which may result in significant damage and burden society. Vulnerability is a key determinant for reducing these risks, yet crucial information is scattered in the literature. Our study reviews over 1510 fragility and vulnerability curves for CI assets, creating a unique publicly available physical vulnerability database that can be directly used for hazard risk assessments, including floods, earthquakes, windstorms, and landslides.
Critical infrastructures (CIs) are exposed to natural hazards, which may result in significant...
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