Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison

Balica, Stefania; Popescu, Ioana; Beevers, Lindsay; Wright, Nigel

doi:10.1016/j.envsoft.2012.11.002

Cited by 216 publications

(162 citation statements)

References 30 publications

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“…Two distinct method types can be distinguished (Balica et al, 2013): (I) Deterministic modeling approaches, which use physically-based modeling approaches coupled with damage assessment models to provide an assessment of flood risk in an area; and (II) Parametric approaches, which aim to use readily available data of information to build a picture of the vulnerability of an area. Once relies on a significant amount of detailed topographic, hydrographic and economic information in the area studied.…”

Section: Necessity For a New Model Developmentmentioning

confidence: 99%

“…In this context it becomes important to evaluate the hazard, risk and vulnerability to flooding also from a different perspective: the parametric approach. The parametric approach aims to estimate the complete vulnerability value of a system by using only a few readily available parameters relating to that system (Balica et al, 2013) and tries to design a methodology that would allow the experts to assess the vulnerability results depend on the system characteristics (Serrat et Gómez, 2001).…”

Section: Necessity For a New Model Developmentmentioning

confidence: 99%

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Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Sadeghi-Pouya

Nouri

Mansouri

et al. 2017

Journal of Hydrology and Hydromechanics

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This paper represents an index model developed for the assessment of risk caused by river floods. The main purpose of this model is to evaluate the flood risk in the western coastal region of Mazandaran Province/Iran. The model assesses the risk at triple components, i.e. the flood occurrence probability, vulnerability and consequences, through identification and evaluation of effective criteria categorized into seven indexes (environmental, technical, economic, social, depth, population and sensitivity ones) that are involved in all stages of flooding (source, pathway and receptor). The flood risk in the developed model is defined by a dimensionless magnitude called as risk score between 0 and 100 for each zone of the area under assessment by calculating and combining of two newly defined factors: occurrence and vulnerability factor and impact factor. The model was applied in a case study, the Nowshahr flood in 2012. The results showed that: (i) the flood risk zoning was compared with observed data for aspect of the damages, and general agreement between them was obtained; (ii) for urban zones, which surrounded by two rivers, would easily be in critical condition and rescue operations face difficulties; and (iii) it is necessary to review the location of the emergency services, according the flood risk zoning.

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Section: Necessity For a New Model Developmentmentioning

confidence: 99%

Section: Necessity For a New Model Developmentmentioning

confidence: 99%

Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Sadeghi-Pouya

Nouri

Mansouri

et al. 2017

Journal of Hydrology and Hydromechanics

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“…Outcome vulnerability is characterized by the IPCC [1] definition of the degree to which a system is susceptible to, or unable to cope with, adverse effects of climate change, including climate variability and extremes. In contrast, contextual vulnerability assesses the susceptibility of a system to disturbances determined by exposure to perturbations, sensitivity to perturbations, and the capacity to adapt [2] Vulnerability can also be defined as the inverse of the resilience, where resilience describes the capacity of ecosystems to react against the stress. Thus, vulnerability represents the territorial system tendency to suffer damage during an extreme event.…”

Section: Introductionmentioning

confidence: 99%

“…The first one encompasses occurrence of hazard or damage incurred by the system due to action of hazard upon the system while the second one is independent of hazard and it is the inherent current state of the system or communities. In the context of flood, vulnerability is the extent to which a system is susceptible to flood due to exposure, a perturbation, in conjunction with its ability (or inability) to cope [2]. This indicates that one has to deal with a paradox while measuring vulnerability as it is difficult to define it precisely [11].…”

Section: Introductionmentioning

confidence: 99%

Flood Vulnerability through the Eyes of Vulnerable People in Mid-Western Terai of Nepal

Devkota

Maraseni²,

Cockfield³

et al. 2013

J Earth Sci Climate Change

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There are many studies on the flood risk mapping and analysis on various flood prone watersheds identifying vulnerability indicators and organizing them into different themes such as physical, social, economic, access to resources, communication, and gender dimensions. But there is no research on vulnerability of people to flood under climate change scenario from Nepal, where most of southern part experience flood each year in the monsoon season. This paper intends to assess the perceived flood vulnerability through the eyes of vulnerable people at the community level in two southern districts of Nepal. A total of two focus group discussions were conducted and 240 households were interviewed during field visit on Feb-May, 2012. Based on the perception of local peoples, 25 vulnerability indicators were identified and tested against a scale from 1 to 5 where 1 indicated "very low" impact and 5 "severe" impacts. The "high frequency of flood", "bank cutting/sand casting" and "damage agricultural land" was found first three highly vulnerable indicators, whereas "physical", "social" and "economic" parameters were found most vulnerable parameters. The findings of this study can be useful in vulnerability assessment and mapping of flood risk which are in turn crucial for flood management.

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“…Recently, this topic has received an increased attention in literature and is being investigated by different approaches. For example, Krueger et al (2012) stress the role of expert opinion in the application of environmental models, Demir and Krajewski (2013) focus on the role of integrated information systems to communicate model outputs to decisionmakers and Balica et al (2013) and Zagonari and Rossi (2013) …”

Section: Introductionmentioning

confidence: 99%

Interactive use of simulation models for collaborative knowledge construction

Leskens

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Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison

Cited by 216 publications

References 30 publications

Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

Flood Vulnerability through the Eyes of Vulnerable People in Mid-Western Terai of Nepal

Interactive use of simulation models for collaborative knowledge construction

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