Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1513-2021
© Author(s) 2021. 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-21-1513-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
17 May 2021
Review article |
| 17 May 2021
| 17 May 2021
Review article: A systematic review and future prospects of flood vulnerability indices
Luana Lavagnoli Moreira
Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil
Mariana Madruga de Brito
CORRESPONDING AUTHOR
Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research, Leipzig 04318, Germany
Masato Kobiyama
Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil
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Jan Sodoge, Taís Maria Nunes Carvalho, and Mariana Madruga de Brito
Geosci. Commun., 8, 191–196, https://doi.org/10.5194/gc-8-191-2025, https://doi.org/10.5194/gc-8-191-2025, 2025
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Thousands of geoscience abstracts are presented at the European Geosciences Union (EGU) General Assembly, but researchers often miss key insights by focusing on their own field. Using natural language processing (NLP), we help scientists find relevant research across disciplines. This approach breaks down boundaries, encouraging broader knowledge sharing and new interdisciplinary connections in the geosciences.
This article is included in the Encyclopedia of Geosciences
Louise Cavalcante, David W. Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter R. van Oel
Nat. Hazards Earth Syst. Sci., 25, 1993–2005, https://doi.org/10.5194/nhess-25-1993-2025, https://doi.org/10.5194/nhess-25-1993-2025, 2025
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Drought affects not only water availability but also agriculture, the economy, and communities. This study explores how public policies help reduce these impacts in Ceará, Northeast Brazil. Using qualitative drought monitoring data, interviews, and policy analysis, we found that policies supporting local economies help lessen drought effects. However, most reported impacts are still related to water shortages, showing the need for broader strategies beyond water supply investment.
Julius Schlumberger, Tristian Stolte, Helena Margaret Garcia, Antonia Sebastian, Wiebke Jäger, Philip Ward, Marleen de Ruiter, Robert Šakić Trogrlić, Annegien Tijssen, and Mariana Madruga de Brito
EGUsphere, https://doi.org/10.5194/egusphere-2025-850, https://doi.org/10.5194/egusphere-2025-850, 2025
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The risk flood of flood impacts is dynamic as society continuously responds to specific events or ongoing developments. We analyzed 28 studies that assess such dynamics of vulnerability. Most research uses surveys and basic statistics data, while integrated, flexible models are seldom used. The studies struggle to link specific events or developments to the observed changes. Our findings highlight needs and possible directions towards a better assessment of vulnerability dynamics.
This article is included in the Encyclopedia of Geosciences
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
This article is included in the Encyclopedia of Geosciences
Riccardo Biella, Anastasiya Shyrokaya, Ilias Pechlivanidis, Daniela Cid, Maria Carmen Llasat, Marthe Wens, Marleen Lam, Elin Stenfors, Samuel Sutanto, Elena Ridolfi, Serena Ceola, Pedro Alencar, Giuliano Di Baldassarre, Monica Ionita, Mariana Madruga de Brito, Scott J. McGrane, Benedetta Moccia, Viorica Nagavciuc, Fabio Russo, Svitlana Krakovska, Andrijana Todorovic, Faranak Tootoonchi, Patricia Trambauer, Raffaele Vignola, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2073, https://doi.org/10.5194/egusphere-2024-2073, 2024
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This research by the Drought in the Anthropocene (DitA) network highlights the crucial role of forecasting systems and Drought Management Plans in European drought risk management. Based on a survey of water managers during the 2022 European drought, it underscores the impact of preparedness on response and the evolution of drought management strategies across the continent. The study concludes with a plea for a European Drought Directive.
This article is included in the Encyclopedia of Geosciences
Riccardo Biella, Ansastasiya Shyrokaya, Monica Ionita, Raffaele Vignola, Samuel Sutanto, Andrijana Todorovic, Claudia Teutschbein, Daniela Cid, Maria Carmen Llasat, Pedro Alencar, Alessia Matanó, Elena Ridolfi, Benedetta Moccia, Ilias Pechlivanidis, Anne van Loon, Doris Wendt, Elin Stenfors, Fabio Russo, Jean-Philippe Vidal, Lucy Barker, Mariana Madruga de Brito, Marleen Lam, Monika Bláhová, Patricia Trambauer, Raed Hamed, Scott J. McGrane, Serena Ceola, Sigrid Jørgensen Bakke, Svitlana Krakovska, Viorica Nagavciuc, Faranak Tootoonchi, Giuliano Di Baldassarre, Sandra Hauswirth, Shreedhar Maskey, Svitlana Zubkovych, Marthe Wens, and Lena Merete Tallaksen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
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This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
This article is included in the Encyclopedia of Geosciences
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
This article is included in the Encyclopedia of Geosciences
Samuel Rufat, Mariana Madruga de Brito, Alexander Fekete, Emeline Comby, Peter J. Robinson, Iuliana Armaş, W. J. Wouter Botzen, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 22, 2655–2672, https://doi.org/10.5194/nhess-22-2655-2022, https://doi.org/10.5194/nhess-22-2655-2022, 2022
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It remains unclear why people fail to act adaptively to reduce future losses, even when there is ever-richer information available. To improve the ability of researchers to build cumulative knowledge, we conducted an international survey – the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS). We find that most studies are exploratory and often overlook theoretical efforts that would enable the accumulation of evidence. We offer several recommendations for future studies.
This article is included in the Encyclopedia of Geosciences
Franciele Maria Vanelli, Masato Kobiyama, and Mariana Madruga de Brito
Hydrol. Earth Syst. Sci., 26, 2301–2317, https://doi.org/10.5194/hess-26-2301-2022, https://doi.org/10.5194/hess-26-2301-2022, 2022
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We conducted a systematic literature review of socio-hydrological studies applied to natural hazards and disaster research. Results indicate that there is a wide range of understanding of what
This article is included in the Encyclopedia of Geosciences
socialmeans in socio-hydrology, and monodisciplinary studies prevail. We expect to encourage socio-hydrologists to investigate different disasters using a more integrative approach that combines natural and social sciences tools by involving stakeholders and broadening the use of mixed methods.
Cited articles
Abbas, A., Amjath-Babu, T. S., Kächele, H., Usman, M., Amjed Iqbal, M., Arshad, M., Adnan Shahid, M., and Müller, K.: Sustainable survival under climatic extremes: linking flood risk mitigation and coping with flood damages in rural Pakistan, Environ. Sci. Pollut. R., 25, 32491–32505, https://doi.org/10.1007/s11356-018-3203-8, 2018.
Abebe, Y., Kabir, G., and Tesfamariam, S.: Assessing urban areas vulnerability to pluvial flooding using GIS applications and Bayesian Belief Network model, J. Clean. Prod., 174, 1629–1641, https://doi.org/10.1016/j.jclepro.2017.11.066, 2018.
Ahmad, D. and Afzal, M.: Household vulnerability and resilience in flood hazards from disaster-prone areas of Punjab, Pakistan, Nat. Hazards, 99, 337–354, https://doi.org/10.1007/s11069-019-03743-9, 2019.
Amadio, M., Mysiak, J., and Marzi, S.: Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy, Risk Anal., 39, 829–845, https://doi.org/10.1111/risa.13212, 2019.
Anowar, F., Sadaoui, S., and Selim, B.: Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE), Comput. Sci. Rev., 40, 100378, https://doi.org/10.1016/j.cosrev.2021.100378, 2021.
Aroca-Jimenez, E., Bodoque, J. M., Garcia, J. A., and Diez-Herrero, A.: Construction of an integrated social vulnerability index in urban areas prone to flash flooding, Nat. Hazards Earth Syst. Sci., 17, 1541–1557, https://doi.org/10.5194/nhess-17-1541-2017, 2017.
Aroca-Jiménez, E., Bodoque, J. M., García, J. A., and Díez-Herrero, A.: A quantitative methodology for the assessment of the regional economic vulnerability to flash floods, J. Hydrol., 565, 386–399, https://doi.org/10.1016/j.jhydrol.2018.08.029, 2018.
Aroca-Jiménez, E., Bodoque, J. M., and García, J. A.: How to construct and validate an Integrated Socio-Economic Vulnerability Index: Implementation at regional scale in urban areas prone to flash flooding, Sci. Total Environ., 746, 140905, https://doi.org/10.1016/j.scitotenv.2020.140905, 2020.
Baeck, S. H., Choi, S. J., Choi, G. W., and Lee, D. R.: A study of evaluating and forecasting watersheds using the flood vulnerability assessment index in Korea, Geomatics, Nat. Hazards Risk, 5, 208–231, https://doi.org/10.1080/19475705.2013.803268, 2014.
Balica, S. F., Douben, N., and Wright, N. G.: Flood vulnerability indices at varying spatial scales, Water Sci. Technol., 60, 2571–2580, https://doi.org/10.2166/wst.2009.183, 2009.
Balica, S. F., Popescu, I., Beevers, L., and Wright, N. G.: Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison, Environ. Model. Softw., 41, 84–92, https://doi.org/10.1016/j.envsoft.2012.11.002, 2013.
Beringer, A. L. and Kaewsuk, J.: Emerging livelihood vulnerabilities in an urbanizing and climate uncertain environment for the case of a secondary city in Thailand, Sustainability, 10, 1452, https://doi.org/10.3390/su10051452, 2018.
Bertilsson, L., Wiklund, K., de Moura Tebaldi, I., Rezende, O. M., Veról, A. P., and Miguez, M. G.: Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning, J. Hydrol., 573, 970–982, https://doi.org/10.1016/j.jhydrol.2018.06.052, 2019.
Birkmann, J.: Indicators and criteria for measuring vulnerability: Theoretical bases and requirements, in: Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies, vol. 02, United Nations University Press, Tokyo, New York, Paris, 55–77, 2006.
Birkmann, J., Cardona, O. D., Carreño, M. L., Barbat, A. H., Pelling, M., Schneiderbauer, S., Kienberger, S., Keiler, M., Alexander, D., Zeil, P., and Welle, T.: Framing vulnerability, risk and societal responses: the MOVE framework, Nat. Hazards, 67, 193–211, https://doi.org/10.1007/s11069-013-0558-5, 2013.
Bründl, M., Romang, H. E., Bischof, N., and Rheinberger, C. M.: The risk concept and its application in natural hazard risk management in Switzerland, Nat. Hazards Earth Syst. Sci., 9, 801–813, https://doi.org/10.5194/nhess-9-801-2009, 2009.
Cardona, O.-D., Aalst, M. K. van, Birkmann, J., Fordham, M., McGregor, G., Perez, R., Pulwarty, R. S., Schipper, E. L. F., and Sinh, B. T.: Determinants of risk: Exposure and vulnerability, in: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, vol. 34, Cambridge University Press, Cambridge, UK, and New York, NY, USA, 65–108, 2012.
Carlier, B., Puissant, A., Dujarric, C., and Arnaud-Fassetta, G.: Upgrading of an index-oriented methodology for consequence analysis of natural hazards: application to the Upper Guil catchment (southern French Alps), Nat. Hazards Earth Syst. Sci., 18, 2221–2239, https://doi.org/10.5194/nhess-18-2221-2018, 2018.
Chaliha, S., Sengupta, A., Sharma, N., and Ravindranath, N. H.: Climate
variability and farmer's vulnerability in a flood-prone district of Assam,
Int. J. Clim. Chang. Str., 4, 179–200, https://doi.org/10.1108/17568691211223150, 2012.
Chiu, R., Lin, L., and Ting, S.: Evaluation of green port factors and performance: a fuzzy AHP analysis, Math. Probl. Eng., 2014, 1–12, 2014.
Ciurean, R. L., Schröter, D., and Glade, T.: Conceptual Frameworks of Vulnerability Assessments for Natural Disasters Reduction, in Approaches to Disaster Management – Examining the Implications of Hazards, Emergencies and Disasters completely, Intech., London, 31 pp., 2013.
CRED: EM-DAT: The international disasters database, available at:
https://www.emdat.be/database, last access: 8 December 2019.
Cutter, S. L. and Derakhshan, S.: Temporal and spatial change in disaster resilience in US counties, 2010–2015, Environ. Hazards, 19, 10–29, https://doi.org/10.1080/17477891.2018.1511405, 2020.
Cutter, S. L., Boruff, B. J., and Shirley, W. L.: Social vulnerability to environmental hazards, Soc. Sci. Quart., 84, 242–261, https://doi.org/10.1111/1540-6237.8402002, 2003.
Daksiya, V., Su, H. T., Chang, Y. H., and Lo, E. Y. M.: Incorporating socio-economic effects and uncertain rainfall in flood mitigation decision using MCDA, Nat. Hazards, 87, 515–531, https://doi.org/10.1007/s11069-017-2774-x, 2017.
de Andrade, M. M. N. and Szlafsztein, C. F.: Vulnerability assessment including tangible and intangible components in the index composition: An Amazon case study of flooding and flash flooding, Sci. Total Environ., 630, 903–912, https://doi.org/10.1016/j.scitotenv.2018.02.271, 2018.
Debortoli, N. S., Camarinha, P. I. M., Marengo, J. A., and Rodrigues, R. R.: An index of Brazil's vulnerability to expected increases in natural flash flooding and landslide disasters in the context of climate change, Nat. Hazards, 86, 557–582, https://doi.org/10.1007/s11069-016-2705-2, 2017.
de Brito, M. M. and Evers, M.: Multi-criteria decision-making for flood risk management: a survey of the current state of the art, Nat. Hazards Earth Syst. Sci., 16, 1019–1033, https://doi.org/10.5194/nhess-16-1019-2016, 2016.
de Brito, M. M., Evers, M., and Höllermann, B.: Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: A case study in Taquari-Antas basin, Brazil, Int. J. Disast. Risk Re., 24, 119–128, https://doi.org/10.1016/j.ijdrr.2017.05.027, 2017.
de Brito, M. M., Evers, M., and Almoradie, A. D. S.: Participatory flood vulnerability assessment: a multi-criteria approach, Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, 2018.
de Brito, M. M., Almoradie, A., and Evers, M.: Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model, Int. J. Geogr. Inf. Sci., 33, 1788–1806, https://doi.org/10.1080/13658816.2019.1599125, 2019.
Diaz-Sarachaga, J. M. and Jato-Espino, D.: Analysis of vulnerability assessment frameworks and methodologies in urban areas, Nat. Hazards, 100, 437–457, https://doi.org/10.1007/s11069-019-03805-y, 2020.
Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A., Arnold, M., Agwe, J., Buys, P., Kjekstad, O., Lyon, B., and Yetman, G.: Natural disaster hotspots: A global risk analysis, World Bank and Columbia University, Washington, D.C., 2005.
Dyer, J. and Kolic, B.: Public risk perception and emotion on Twitter during the Covid-19 pandemic, Appl. Netw. Sci., 5, 99, https://doi.org/10.1007/s41109-020-00334-7, 2020.
Evers, M., Almoradie, A., and de Brito, M. M.: Enhancing Flood Resilience Through Collaborative Modelling and Multi-criteria Decision Analysis (MCDA), in: The Urban Book Series, Springer International Publishing, New York, 221–236, 2018.
Fatemi, F., Ardalan, A., Aguirre, B., Mansouri, N., and Mohammadfam, I.: Social vulnerability indicators in disasters: Findings from a systematic review, Int. J. Disast. Risk Re., 22, 219–227, https://doi.org/10.1016/j.ijdrr.2016.09.006, 2017.
Fedeski, M. and Gwilliam, J.: Urban sustainability in the presence of flood and geological hazards: The development of a GIS-based vulnerability and risk assessment methodology, Landscape Urban Plan., 83, 50–61, https://doi.org/10.1016/j.landurbplan.2007.05.012, 2007.
Feizizadeh, B. and Kienberger, S.: Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment, J. Environ. Plann. Man., 60, 2013–2035, https://doi.org/10.1080/09640568.2016.1269643, 2017.
Fekete, A.: Validation of a social vulnerability index in context to river-floods in Germany, Journal of the British Academy, 9, 393–403, https://doi.org/10.5871/jba/001.151, 2009.
Fekete, A.: Spatial disaster vulnerability and risk assessments: Challenges in their quality and acceptance, Nat. Hazards, 61, 1161–1178, https://doi.org/10.1007/s11069-011-9973-7, 2011.
Fekete, A., Damm, M. and Birkmann, J.: Scales as a challenge for vulnerability assessment, Nat. Hazards, 55, 729–747, https://doi.org/10.1007/s11069-009-9445-5, 2010.
Fekete, A., Aslam, A. B., de Brito, M. M., Dominguez, I., Fernando, N., Illing, C. J., KC, A. K., Mahdavian, F., Norf, C., Platt, S., Santi, P. A., and Tempels, B.: Increasing flood risk awareness and warning readiness by participation – But who understands what under `participation'?, Int. J. Disast. Risk Re., 57, 102157, https://doi.org/10.1016/j.ijdrr.2021.102157, 2021.
Fernandez, P., Mourato, S., Moreira, M., and Pereira, L.: A new approach for computing a flood vulnerability index using cluster analysis, Phys. Chem. Earth, 94, 47–55, https://doi.org/10.1016/j.pce.2016.04.003, 2016.
Freudenberg, M.: Composite Indicators of Country Performance: A Critical Assessment, Organisation for Economic Co-operation and Development, Paris, 2003.
Fuchs, S., Kuhlicke, C. and Meyer, V.: Editorial for the special issue: Vulnerability to natural hazards-the challenge of integration, Nat. Hazards, 58, 609–619, https://doi.org/10.1007/s11069-011-9825-5, 2011.
Gan, X., Fernandez, I. C., Guo, J., Wilson, M., Zhao, Y., Zhou, B., and Wu, J.: When to use what: Methods for weighting and aggregating sustainability indicators, Ecol. Indic., 81, 491–502, https://doi.org/10.1016/j.ecolind.2017.05.068, 2017.
Garbutt, K., Ellul, C., and Fujiyama, T.: Mapping social vulnerability to flood hazard in Norfolk, England, Environ. Hazards, 14, 156–186, https://doi.org/10.1080/17477891.2015.1028018, 2015.
Garschagen, M. and Kraas, F.: Assessing Future Resilience to Natural Hazards
– The Challenge of Capturing Dynamic Changes under Conditions of
Transformation and Climate Change, in: International Disaster and Risk Conference, IDRC, Davos, 2010.
Gerrard, R. E. C.: Developing an index of community competence in flood response for flood-affected rural parishes on the Somerset Levels and Moors using composite and spatial datasets, Area, 50, 344–352, https://doi.org/10.1111/area.12416, 2018.
Grosso, N., Dias, L., Costa, H. P., Santos, F. D., and Garrett, P.: Continental Portuguese Territory Flood Social Susceptibility Index, Nat. Hazards Earth Syst. Sci., 15, 1921–1931, https://doi.org/10.5194/nhess-15-1921-2015, 2015.
Gu, H., Du, S., Liao, B., Wen, J., Wang, C., Chen, R., and Chen, B.: A hierarchical pattern of urban social vulnerability in Shanghai, China and its implications for risk management, Sustain. Cities Soc., 41, 170–179, https://doi.org/10.1016/j.scs.2018.05.047, 2018.
Guardiola-Albert, C., Díez-Herrero, A., Amerigo Cuervo-Arango, M., Bodoque, J. M., García, J. A., Naranjo-Fernández, N., and Aroca-Jiménez, E.: Analysing flash flood risk perception through a geostatistical approach in the village of Navaluenga, Central Spain, J. Flood Risk Manag., 13, 1–16, https://doi.org/10.1111/jfr3.12590, 2020.
Guo, E., Zhang, J., Ren, X., Zhang, Q., and Sun, Z.: Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China, Nat. Hazards, 74, 947–965, https://doi.org/10.1007/s11069-014-1238-9, 2014.
Hernández-Uribe, R. E., Barrios-Piña, H., and Ramírez, A. I.: Análisis de riesgo por inundación: Metodología y aplicación a la cuenca Atemajac, Tecnol. Cienc. Agua, 8, 5–25, 2017.
Hirsch, R. M. and Archfield, S. A.: Not higher but more often, Nat. Clim. Change, 5, 198–199, https://doi.org/10.1038/nclimate2551, 2015.
Hoffman, J., Pelzer, P., Albert, L., Béneker, T., Hajer, M., and Mangnus, A.: A futuring approach to teaching wicked problems, J. Geogr. High. Educ., https://doi.org/10.1080/03098265.2020.1869923, in press, 2021.
IPCC: Climate Change 2001: Impacts, Adaptation, and Vulnerability, 1st edn., edited by: McCarthy, J. J., Canziani, O. F., Leary, N. A., Dokken, D. J., and White, K. S., Cambridge University Press, Cambridge, 2001.
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., Allen, S. K., Tignor, M., Midgley, P. M., Cambridge University Press, New York, 2012.
IPCC: Climate change 2014: Impacts, Adaptation, and Vulnerability, Cambridge University Press, Cambridge, UK and New York, USA, 2014.
Jacobs, R., Smith, P., and Goddard, M.: Measuring performance: An examination of composite performance indicators, Centre for Health Economics University of York, York, 2004.
Jamshed, A., Rana, I. A., Mirza, U. M., and Birkmann, J.: Assessing relationship between vulnerability and capacity: An empirical study on rural flooding in Pakistan, Int. J. Disast. Risk Re., 36, 101109, https://doi.org/10.1016/j.ijdrr.2019.101109, 2019.
Jamshed, A., Birkmann, J., Feldmeyer, D., and Rana, I. A.: A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability, Sustainability, 12, 2894, https://doi.org/10.3390/su12072894, 2020.
Jha, R. K. and Gundimeda, H.: An integrated assessment of vulnerability to floods using composite index – A district level analysis for Bihar, India, Int. J. Disast. Risk Re., 35, 101074, https://doi.org/10.1016/j.ijdrr.2019.101074, 2019.
Jurgilevich, A., Räsänen, A., Groundstroem, F., and Juhola, S.: A systematic review of dynamics in climate risk and vulnerability assessments, Environ. Res. Lett., 12, 013002, https://doi.org/10.1088/1748-9326/aa5508, 2017.
Kablan, M. K. A., Dongo, K., and Coulibaly, M.: Assessment of social vulnerability to flood in urban Côte d'Ivoire using the MOVE framework, Water, 9, 292, https://doi.org/10.3390/w9040292, 2017.
Kam, J., Stowers, K., and Kim, S.: Monitoring of Drought Awareness from Google Trends: A Case Study of the 2011–17 California Drought, Weather. Clim. Soc., 11, 419–429, https://doi.org/10.1175/WCAS-D-18-0085.1, 2019.
Kappes, M. S., Papathoma-Köhle, M., and Keiler, M.: Assessing physical vulnerability for multi-hazards using an indicator-based methodology, Appl. Geogr., 32, 577–590, https://doi.org/10.1016/j.apgeog.2011.07.002, 2012.
Kelman, I.: Lost for Words Amongst Disaster Risk Science Vocabulary?, Int. J. Disast. Risk Sc., 9, 281–291, https://doi.org/10.1007/s13753-018-0188-3, 2018.
Kobiyama, M., Mendonça, M., Moreno, D. A., Marcelino, I. P. V. de O., Marcelino, E. V., Gonçalves, E. F., Brazetti, L. L. P., Goerl, R. F., Molleri, G. S. F., and Rudorff, F. de M.: Prevenção de desastres naturais: conceitos básicos, 1st edn., Organic Trading, Florianópolis, 2006.
Koks, E. E., Jongman, B., Husby, T. G., and Botzen, W. J. W.: Combining hazard, exposure and social vulnerability to provide lessons for flood risk management, Environ. Sci. Policy, 47, 42–52, https://doi.org/10.1016/j.envsci.2014.10.013, 2015.
Kontokosta, C. E. and Malik, A.: The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity, Sustain. Cities Soc., 36, 272–285, https://doi.org/10.1016/j.scs.2017.10.025, 2018.
Kotzee, I. and Reyers, B.: Piloting a social-ecological index for measuring flood resilience: A composite index approach, Ecol. Indic., 60, 45–53, https://doi.org/10.1016/j.ecolind.2015.06.018, 2016.
Kubal, C., Haase, D., Meyer, V., and Scheuer, S.: Integrated urban flood risk
assessment – adapting a multicriteria approach to a city, Nat. Hazards Earth Syst. Sci., 9, 1881–1895, https://doi.org/10.5194/nhess-9-1881-2009, 2009.
Kuhlicke, C., Scolobig, A., Tapsell, S., Steinführer, A., and De Marchi, B.: Contextualizing social vulnerability: findings from case studies across Europe, Nat. Hazards, 58, 789–810, https://doi.org/10.1007/s11069-011-9751-6, 2011.
Kuhlicke, C., Seebauer, S., Hudson, P., Begg, C., Bubeck, P., Dittmer, C., Grothmann, T., Heidenreich, A., Kreibich, H., Lorenz, D. F., Masson, T., Reiter, J., Thaler, T., Thieken, A. H., and Bamberg, S.: The behavioral turn in flood risk management, its assumptions and potential implications, WIREs Water, 7, 1–22, https://doi.org/10.1002/wat2.1418, 2020.
Leung, J. Y. S., Russell, B. D., and Connell, S. D.: Summary for Policymakers, available at: https://www.ipcc.ch/site/assets/uploads/sites/2/2019/05/SR15_SPM_version_report_LR.pdf (last access: 10 May 2021), 2019.
Lianxiao and Morimoto, T.: Spatial analysis of social vulnerability to floods based on the MOVE framework and information entropy method: Case study of Katsushika Ward, Tokyo, Sustainability, 11, 529, https://doi.org/10.3390/su11020529, 2019.
Luan, W., Lu, L., Li, X., and Ma, C.: Weight Determination of Sustainable Development Indicators Using a Global Sensitivity Analysis Method, Sustainability, 9, 303, https://doi.org/10.3390/su9020303, 2017.
Merz, V. B., Kreibich, H., and Apel, H.: Flood risk analysis: Uncertainties
and validation, Österreichische Wasser- und Abfallwirtschaft, 60, 89–94, https://doi.org/10.1007/s00506-008-0001-4, 2008.
Miguez, M. G. and Veról, A. P.: A catchment scale Integrated Flood Resilience Index to support decision making in urban flood control design, Environ. Plann. B, 44, 925–946, https://doi.org/10.1177/0265813516655799, 2017.
Moreira, L. L., de Brito, M. M., and Kobiyama, M.: Effects of Different Normalization, Aggregation, and Classification Methods on the Construction of Flood Vulnerability Indexes, Water, 13, 98, https://doi.org/10.3390/w13010098, 2021.
Müller, A., Reiter, J., and Weiland, U.: Assessment of urban vulnerability
towards floods using an indicator-based approach – a case study for Santiago
de Chile, Nat. Hazards Earth Syst. Sci., 11, 2107–2123,
https://doi.org/10.5194/nhess-11-2107-2011, 2011.
Munyai, R. B., Musyoki, A., and Nethengwe, N. S.: An assessment of flood vulnerability and adaptation: A case study of Hamutsha-Muungamunwe village, Makhado municipality, Jamba J. Disaster Risk Stud., 11, 1–8, https://doi.org/10.4102/jamba.v11i2.692, 2019.
Nardo, M., Saisana, M., Saltelli, A., and Tarantola, S.: Handbook of Contructing Compsoite Indicators: Methodology and user guide, Secretary-General of the OECD, Paris, 2008.
Nasiri, H., Mohd Yusof, M. J., and Mohammad Ali, T. A.: An overview to flood vulnerability assessment methods, Sustain. Water Resour. Manag., 2, 331–336, https://doi.org/10.1007/s40899-016-0051-x, 2016.
Nazeer, M. and Bork, H. R.: Flood vulnerability assessment through different methodological approaches in the context of North-West Khyber Pakhtunkhwa, Pakistan, Sustainability, 11, 6695, https://doi.org/10.3390/su11236695, 2019.
Okazawa, Y., Yeh, P. J.-F., Kanae, S., and Oki, T.: Development of a global flood risk index based on natural and socio-economic factors, Hydrolog. Sci. J., 56, 789–804, https://doi.org/10.1080/02626667.2011.583249, 2011.
Oulahen, G., Mortsch, L., Tang, K., and Harford, D.: Unequal Vulnerability to Flood Hazards: “Ground Truthing” a Social Vulnerability Index of Five Municipalities in Metro Vancouver, Canada, Ann. Assoc. Am. Geogr., 105, 473–495, https://doi.org/10.1080/00045608.2015.1012634, 2015.
Papathoma-Köhle, M., Keiler, M., Totschnig, R., and Glade, T.: Improvement of vulnerability curves using data from extreme events: Debris flow event in South Tyrol, Nat. Hazards, 64, 2083–2105, https://doi.org/10.1007/s11069-012-0105-9, 2012.
Papathoma-Köhle, M., Gems, B., Sturm, M., and Fuchs, S.: Matrices, curves and indicators: A review of approaches to assess physical vulnerability to debris flows, Earth-Sci. Rev., 171, 272–288, https://doi.org/10.1016/j.earscirev.2017.06.007, 2017.
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Publishers, United States, 1988.
Rehman, S., Sahana, M., Hong, H., Sajjad, H., and Ahmed, B. Bin: A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research, Nat. Hazards, 96, 975–998, https://doi.org/10.1007/s11069-018-03567-z, 2019.
Reiter, J., Wenzel, B., Dittmer, C., Lorenz, D. F., and Voss, M.: The 2013
flood in the community of Elbe-Havel-Land in the eyes of the population,
Research report of the quantitative survey, KFS Working Paper, KFS, Berlin, 2018.
Remo, J. W. F., Pinter, N., and Mahgoub, M.: Assessing Illinois's flood vulnerability using Hazus-MH, Nat. Hazards, 81, 265–287, https://doi.org/10.1007/s11069-015-2077-z, 2016.
Rezende, O. M., de Franco, A. B. R. da C., de Oliveira, A. K. B., Jacob, A. C. P., and Miguez, M. G.: A framework to introduce urban flood resilience into the design of flood control alternatives, J. Hydrol., 576, 478–493, https://doi.org/10.1016/j.jhydrol.2019.06.063, 2019.
Rogelis, M. C., Werner, M., Obregón, N., and Wright, N.: Regional prioritisation of flood risk in mountainous areas, Nat. Hazards Earth Syst. Sci., 16, 833–853, https://doi.org/10.5194/nhess-16-833-2016, 2016.
Rufat, S., Tate, E., Burton, C. G., and Maroof, A. S.: Social vulnerability to floods: Review of case studies and implications for measurement, Int. J. Disast. Risk Re., 14, 470–486, https://doi.org/10.1016/j.ijdrr.2015.09.013, 2015.
Saisana, M. and Saltelli, A.: Expert Panel Opinion and Global Sensitivity Analysis for Composite Indicators, in: Computational Methods in Transport: Verification and Validation, Lecture Notes in Computational Science and Engineering, vol. 62, edited by: Graziani, F., Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-540-77362-7_11, 2008.
Saisana, M. and Tarantola, S.: State-of-the-art Report on Current
Methodologies and Practices for Composite Indicator Development, European Commission Joint Research Centre, Ispra, 1–72, 2002.
Saisana, M., Tarantola, S., and Saltelli, A.: Uncertainty and sensitivity techniques as tools for the analysis and validation of composite indicators, J. R. Stat. Soc., 168, 307–323, 2005.
Sam, A. S., Kumar, R., Kächele, H., and Müller, K.: Vulnerabilities to flood hazards among rural households in India, Nat. Hazards, 88, 1133–1153, https://doi.org/10.1007/s11069-017-2911-6, 2017.
Schmidtlein, M. C., Deutsch, R. C., Piegorsch, W. W., and Cutter, S. L.: A Sensitivity Analysis of the Social Vulnerability Index, Risk Anal., 28, 1099–1114, https://doi.org/10.1111/j.1539-6924.2008.01072.x, 2008.
Schneiderbauer, S. and Ehrlich, D.: Social levels and hazard (in)dependence in determining vulnerability, in: Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies, United Nations University Press, Tokyo, New York, Paris, 78–102, 2006.
Schuster-Wallace, C. J., Murray, S. J., and McBean, E. A.: Integrating Social Dimensions into Flood Cost Forecasting, Water Resour. Manag., 32, 3175–3187, https://doi.org/10.1007/s11269-018-1983-8, 2018.
Shah, A. A., Ye, J., Abid, M., Khan, J., and Amir, S. M.: Flood hazards: household vulnerability and resilience in disaster-prone districts of Khyber Pakhtunkhwa province, Pakistan, Nat. Hazards, 93, 147–165, https://doi.org/10.1007/s11069-018-3293-0, 2018.
Tarbotton, C., Osso, F. D., Dominey-howes, D., and Goff, J.: The use of empirical vulnerability functions to assess the response of buildings to tsunami impact: Comparative review and summary of best practice, Earth-Sci. Rev., 142, 120–134, https://doi.org/10.1016/j.earscirev.2015.01.002, 2015.
Tate, E.: Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis, Nat. Hazards, 63, 325–347, https://doi.org/10.1007/s11069-012-0152-2, 2012.
Tate, E.: Uncertainty Analysis for a Social Vulnerability Index, Ann. Assoc. Am. Geogr., 103, 526–543, https://doi.org/10.1080/00045608.2012.700616, 2013.
Török, I.: Qualitative assessment of social vulnerability to flood hazards in Romania, Sustainability, 10, 3780, https://doi.org/10.3390/su10103780, 2018.
Turner, B. L., Kasperson, R. E., Matson, P. A., Mccarthy, J. J., and Corell, R. W.: A framework for vulnerability analysis in sustainability science, P. Natl. Acad. Sci. USA, 100, 8074–8079, https://doi.org/10.1073/pnas.1231335100, 2003.
UNDP: Disaster resilience measurements: Stocktaking of ongoing efforts in developing systems for measuring resilience, available at: https://www.preventionweb.net/files/37916_disasterresiliencemeasurementsundpt.pdf (last access: 10 May 2021), 2014.
UNDRR: Terminology on Disaster Risk Reduction, UNISDR, Geneva, 2017.
UNISDR: Sendai Framework for Disaster Risk Reduction 2015–2030, Sendai, 2015.
UNISDR: Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction, available at: https://www.preventionweb.net/files/50683_oiewgreportenglish.pdf (last access: 10 May 2021), 2016.
Wisner, B., Gaillard, J. C., and Kelman, I.: Framing disaster: Theories and stories seeking to understand hazards, vulnerability and risk, in: Handbook of Hazards and Disaster Risk Reduction, Routledge, Abingdon, 18–34, 2012.
Wu, Y., Zhong, P. an, Zhang, Y., Xu, B., Ma, B., and Yan, K.: Integrated flood risk assessment and zonation method: A case study in Huaihe River basin, China, Nat. Hazards, 78, 635–651, https://doi.org/10.1007/s11069-015-1737-3, 2015.
Yang, W., Xu, K., Lian, J., Ma, C., and Bin, L.: Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods, Ecol. Indic., 89, 269–280, https://doi.org/10.1016/j.ecolind.2018.02.015, 2018a.
Yang, W., Xu, K., Lian, J., Bin, L., and Ma, C.: Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model, J. Environ. Manage., 213, 440–450, https://doi.org/10.1016/j.jenvman.2018.02.085, 2018b.
Yoon, D. K.: Assessment of social vulnerability to natural disasters: A comparative study, Nat. Hazards, 63, 823–843, https://doi.org/10.1007/s11069-012-0189-2, 2012.
Zarekarizi, M., Srikrishnan, V., and Keller, K.: Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks, Nat. Commun., 11, 1–11, https://doi.org/10.1038/s41467-020-19188-9, 2020.
Zhang, G. and Zhu, A.-X.: The representativeness and spatial bias of
volunteered geographic information: a review, Annales of GIS, 24, 151–162, https://doi.org/10.1080/19475683.2018.1501607, 2018.
Zhang, Y. L. and You, W. J.: Social vulnerability to floods: A case study of Huaihe River Basin, Nat. Hazards, 71, 2113–2125, https://doi.org/10.1007/s11069-013-0996-0, 2014.
Zielstra, D. and Zipf, A.: A comparative study of proprietary geodata and
volunteered geographic information for Germany, in: 13th AGILE International
Conference on Geographic Information Science, vol. 2010, Guimarães, 1–15,
available at:
http://agile2010.dsi.uminho.pt/pen/shortpapers_pdf/142_doc.pdf (last access: 3 January 2021), 2010.
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The review of flood vulnerability indices revealed that (1) temporal dynamic aspects were often disregarded, (2) coping and adaptive capacity indicators were frequently ignored, as obtaining these data demand time and effort, and (3) most studies neither applied sensitivity (90.5 %) or uncertainty analyses (96.8 %) nor validated the results (86.3 %). The study highlights the importance of addressing these gaps to produce scientifically rigorous and comparable research.
The review of flood vulnerability indices revealed that (1) temporal dynamic aspects were often...
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