Multiple Criteria Decision Making for Flood Risk Management

Hansson, Karin; Danielson, Mats; Ekenberg, Love; Buurman, Joost

doi:10.1007/978-94-007-2226-2_4

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…High temperatures and melting glaciers may well lead to the sea level being raised, thus increasing the chance of severe flooding in coastal regions. Models in flooding context have also considered risk analysis (Hansson et al 2013;Vari et al 2003).…”

Section: Natural Disastersmentioning

confidence: 99%

Other Risk, Reliability and Maintenance Decision Problems

Almeida

Cavalcante

Alencar

et al. 2015

International Series in Operations Research &Amp; Management Science

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Abstract:In this chapter, specific problems in risk, reliability and maintenance context are described, such as location of backup units, sequencing of maintenance activities, natural disasters, operation planning of a power system network, integrated production and maintenance scheduling, maintenance team sizing and reliability acceptance tests. This chapter presents a multicriteria decision model with an illustrative application for most of these problems. Amongst the MCDM/A approaches considered for the illustrative applications in this chapter are: Multiattribute utility theory (MAUT), PROMETHEE II, NSGA-II. Regarding the reliability acceptance test an MCDM/A Bayesian approach is presented. For these problems, several aspects have been considered such as: size of population, degree of industrialization, the extent of health services (location of backup units); degree of damage, consumption, electric load, special clients, healthcare services, SAIDI and SAIFI (sequencing of maintenance activities); human, environmental, financial and infrastructure concerns (natural disasters); expected tardiness and maintenance costs (integrated production and maintenance scheduling); waiting time and cost of personnel (maintenance team sizing); probability of accepting equipment not in accordance with the reliability specified by the manufacturer; and delaying the project conclusion (reliability acceptance test). Finally, some aspects of multiobjective optimization are discussed.

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Section: Natural Disastersmentioning

confidence: 99%

Other Risk, Reliability and Maintenance Decision Problems

Almeida

Cavalcante

Alencar

et al. 2015

International Series in Operations Research &Amp; Management Science

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“…In relation to the risk factors, they include the hazard, exposure, and vulnerability, and the conjunction of these factors simultaneously is the overall risk [39]. These risk factors have been widely used by various authors to estimate flood risk and related losses [40,41,42,43,44,45].…”

Section: Introductionmentioning

confidence: 99%

Flood Risk Evaluation in Urban Spaces: The Study Case of Tormes River (Salamanca, Spain)

Criado

Martínez-Graña

Román

et al. 2018

IJERPH

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The expansion of cities towards flood zones, and the increasingly frequent episodes of torrential rains arising from global warming, mean that the population is becoming more exposed to floods. Due to this, a correct assessment of flood events is of great help in the development of preventive actions, planning and resource management, or interventions. For this reason, in this work we aim to establish guidelines to assess the hazard, exposure, and vulnerability of the population and its properties to flood events, using Hec-Ras for the simulation of the flood and ArcGis and GeoHecRas to treat geographic information and prepare the cartography. The study was focused on the Tormes River in Salamanca (Spain). We studied three return periods with different probabilities of occurrence and intensity, corresponding to 5, 100, and 500 years. The flow corresponding to each episode was calculated, along with the extension, speed, and depth that would be achieved in each case. Then, the probability of occurrence was delimited, as well as the magnitude, allowing us to obtain different hazard maps. In addition, the areas of greatest hazard to people and property were established for each event. Regarding the exposure, the areas and land use, infrastructure, and buildings that would be flooded in each case were identified, quantifying the extension or length of the affected properties at the different levels of hazard in each case. Additionally, the vulnerability of the different buildings and exposed infrastructure was studied. Finally, the flood risk was estimated by combining these three components.

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