Articles | Volume 16, issue 4
Nat. Hazards Earth Syst. Sci., 16, 1019–1033, 2016
https://doi.org/10.5194/nhess-16-1019-2016
Nat. Hazards Earth Syst. Sci., 16, 1019–1033, 2016
https://doi.org/10.5194/nhess-16-1019-2016

Review article 26 Apr 2016

Review article | 26 Apr 2016

Multi-criteria decision-making for flood risk management: a survey of the current state of the art

Mariana Madruga de Brito and Mariele Evers

Related authors

Review article: A systematic review and future prospects of flood vulnerability indices
Luana Lavagnoli Moreira, Mariana Madruga de Brito, and Masato Kobiyama
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-34,https://doi.org/10.5194/nhess-2021-34, 2021
Preprint under review for NHESS

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Assessing and zoning of typhoon storm surge risk with a geographic information system (GIS) technique: a case study of the coastal area of Huizhou
Si Wang, Lin Mu, Zhenfeng Yao, Jia Gao, Enjin Zhao, and Lizhe Wang
Nat. Hazards Earth Syst. Sci., 21, 439–462, https://doi.org/10.5194/nhess-21-439-2021,https://doi.org/10.5194/nhess-21-439-2021, 2021
Short summary
Regional tropical cyclone impact functions for globally consistent risk assessments
Samuel Eberenz, Samuel Lüthi, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 21, 393–415, https://doi.org/10.5194/nhess-21-393-2021,https://doi.org/10.5194/nhess-21-393-2021, 2021
Short summary
Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland
Christoph Welker, Thomas Röösli, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 21, 279–299, https://doi.org/10.5194/nhess-21-279-2021,https://doi.org/10.5194/nhess-21-279-2021, 2021
Short summary
Probabilistic characterisation of coastal storm-induced risks using Bayesian networks
Marc Sanuy and Jose A. Jiménez
Nat. Hazards Earth Syst. Sci., 21, 219–238, https://doi.org/10.5194/nhess-21-219-2021,https://doi.org/10.5194/nhess-21-219-2021, 2021
A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest
Sebastian Scheuer, Dagmar Haase, Annegret Haase, Manuel Wolff, and Thilo Wellmann
Nat. Hazards Earth Syst. Sci., 21, 203–217, https://doi.org/10.5194/nhess-21-203-2021,https://doi.org/10.5194/nhess-21-203-2021, 2021
Short summary

Cited articles

Abdullah, L. and Adawiyah, C. W. R.: Simple additive weighting methods of multi criteria decision making and applications: a decade review, Int. J. Inf. Process. Manage., 5, 39–49, 2014.
Affeletranger, B.: Public participation in the design of local strategies for flood mitigation and control, International Hydrological Programme, Technical Documents in Hydrology no. 48, UNESCO, Paris, 2001.
Akter, T. and Simonovic, S. P.: Aggregation of fuzzy views of a large number of stakeholders for multi-objective flood management decision-making, J. Environ. Manage., 77, 133–143, https://doi.org/10.1016/j.jenvman.2005.02.015, 2005.
Alipour, M. H.: Risk-informed decision making framework for opperating a multi-purpose hydropower reservoir during flooding and high inflow events, case study: Cheakamus River System, Water Resour. Manage., 29, 801–815, https://doi.org/10.1007/s11269-014-0844-3, 2015.
Almoradie, A., Cortes, V. J., and Jonoski, A.: Web-based stakeholder collaboration in flood risk management, J. Flood Risk Manage., 8, 19–38, https://doi.org/10.1111/jfr3.12076, 2015.
Short summary
This study presents a systematic review of 128 papers that apply multi-criteria decision-making (MCDM) tools to flood problems, aiming to provide an overall picture of what has motivated researchers in 37 different countries over the past 2 decades. A wide range of applications were identified, highlighting the utility of MCDM as a decision support tool in all stages of the flood management process.
Altmetrics
Final-revised paper
Preprint