A novel approach to flood risk assessment: the Exposure-Vulnerability matrices

Naso, Susanna; Chen, Albert S.; Aronica, Giuseppe Tito; Djordjević, Slobodan

doi:10.1051/e3sconf/20160708007

Cited by 4 publications

(9 citation statements)

References 8 publications

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“…During the analysis process, network metrics are used to select the critical links in the network and target adaptation options. The most at-risk locations in the road network are identified through a matrix (Larsen et al 2010;Naso et al 2016;Pregnolato et al 2016b) combining the hazard, i.e., the depth of water on the road, and the exposure, i.e., the average daily traffic flow along the road (Fig. 4).…”

Section: Prioritization Of Adaptation Interventionsmentioning

confidence: 99%

Impact of Climate Change on Disruption to Urban Transport Networks from Pluvial Flooding

Pregnolato

Ford

Glenis

et al. 2017

J. Infrastruct. Syst.

125

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Short-duration, high-intensity rainfall causes significant disruption to transport operations, and climate change is projected to increase the frequency and intensity of these events. Disruption costs of flooding are currently calculated using crude approaches. To support improved business cases for adapting urban infrastructure to climate change, this paper presents an integrated framework that couples simulations of flooding and transport to calculate the impacts of disruption. A function, constructed from a range of observational and experimental data sources, is used to relate flood depth to vehicle speed, which is more realistic than the typical approach of categorizing a road as either blocked or free flowing. The framework is demonstrated on Newcastle upon Tyne in the United Kingdom and shows that by the 2080s disruption across the city from a 1-in-50-year event could increase by 66%. A criticality index is developed and is shown to provide an effective metric to prioritize intervention options in the road network. In this case, just two adaptation interventions can reduce travel delays across the city by 32%.

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Section: Prioritization Of Adaptation Interventionsmentioning

confidence: 99%

Impact of Climate Change on Disruption to Urban Transport Networks from Pluvial Flooding

Pregnolato

Ford

Glenis

et al. 2017

J. Infrastruct. Syst.

125

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“…Potential damage functions were obtained based on the methodology proposed by the Joint Research Centre, considering both "new" costs (replacement), and productivity costs [16]. Concerning the damage to buildings in residential areas, instead the approach proposed by [17] was used.…”

Section: Methodsmentioning

confidence: 99%

A Cost Efficiency Analysis of Flood Proofing Measures for Hydraulic Risk Mitigation in an Urbanized Riverine Area

Ventimiglia

Candela

Aronica

2020

Water

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Non-structural measures for flood risk mitigation are often more economically accessible, easier to implement, and are highly effective, especially in view of the pursuit of risk resilience objectives. Among the non-structural measures, more importance is increasingly being attributed to flood proofing interventions. There are two main types of flood proofing: dry proofing and wet proofing. An example of dry proofing is shielding, which involves the use of flood barriers that can be installed in the entrances of buildings or outside the buildings in order to avoid contact with the houses and deviate the water flow. Their use must be supported by a detailed hydraulic analysis to ensure the correct design is used. This kind of intervention also avoids inducing a feeling of false security (the levee effect) in the exposed population, and therefore contributes to increasing their resilience. The aim of the work presented here is to determine an optimal combination of and choice between different types of structural and non-structural measures through the development of a methodology for assessing the real efficiency levels of different measures, using a cost–benefit analysis (CBA) and starting from the estimation of the direct flood damage. The application of the CBA to a case study of the Mela river in northeastern Sicily, which suffered a flooding event in October 2015, is supported by the determination of the real damages after the flood and the modeling of the same damages for alternative scenarios. The results affirm the possibility of reducing or avoiding some of the damage using the proposed flood proofing measures instead of classical ones.

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“…For flood management, the loss and risk are identified effectively based on simulation approaches [5,8]. The simulation model is applied to determine the maximum water depths during typhoon events without sufficient flood depth measurements.…”

Section: Flood Loss Comparison Using Different Resolutionsmentioning

confidence: 99%

“…Moreover, flood risk was usually defined as the product of hazard e.g., probability of occurrence and vulnerability or estimated cost of foreseeable damage [7]. Risk assessment was generally measured as the expected loss degree of risk as a consequence of a hazardous event [8].…”

Section: Introductionmentioning

confidence: 99%

Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation

Afifi

Chu

Kuo

et al. 2019

Water

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Since the patterns of residential buildings in the urban area are small-sized and dispersed, this study proposes a high-resolution flood loss and risk assessment model to analyze the direct loss and risk impacts caused by floods. The flood inundation simulation with a fine digital elevation model (DEM) provides detailed estimations of flood-inundated areas and their corresponding inundation depths during the 2016 Typhoon Megi and 2017 Typhoon Haitang. The flood loss assessment identifies the impacts of both events on residential areas. The depth-damage table from surveys in the impacted area was applied. Results indicated that the flood simulation with the depth-damage table is an effective way to assess the direct loss of a flood disaster. The study also showed the effects of spatial resolution on the residential loss. The results indicated that the low-resolution model easily caused the estimated error of loss in dispersed residential areas when compared with the high-resolution model. The analytic hierarchy process (AHP), as a multi-criteria decision-making method, was used to identify the weight factor for each vulnerability factor. The flood-vulnerable area was mapped using natural and social vulnerability factors, such as high-resolution DEM, distance to river, distance to fire station, and population density. Eventually, the flood risk map was derived from the vulnerability and flood hazard maps to present the risk level of the flood disaster in the residential areas.

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A novel approach to flood risk assessment: the Exposure-Vulnerability matrices

Cited by 4 publications

References 8 publications

Impact of Climate Change on Disruption to Urban Transport Networks from Pluvial Flooding

Impact of Climate Change on Disruption to Urban Transport Networks from Pluvial Flooding

A Cost Efficiency Analysis of Flood Proofing Measures for Hydraulic Risk Mitigation in an Urbanized Riverine Area

Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation

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