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

Floods are one of the most common and widely distributed natural risks to life and property. There is a need to identify the risk in flood-prone areas to support decisions for risk management, from high-level planning proposals to detailed design. There are many methods available to undertake such s...

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Bibliographic Details
Published in:	Environmental modelling & software : with environment data news Vol. 41; pp. 84 - 92
Main Authors:	Balica, S.F., Popescu, I., Beevers, L., Wright, N.G.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01-03-2013 Elsevier
Subjects:	Animal, plant and microbial ecology Biological and medical sciences computer software environmental models Flood Vulnerability Index Floods Fundamental and applied biological sciences. Psychology General aspects. Techniques Methods and techniques (sampling, tagging, trapping, modelling...) Physically-based models planning Risk risk management Vulnerability Risk Physically-based models Vulnerability Floods Flood Vulnerability Index Flood Models Risk analysis Modeling
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Summary:	Floods are one of the most common and widely distributed natural risks to life and property. There is a need to identify the risk in flood-prone areas to support decisions for risk management, from high-level planning proposals to detailed design. There are many methods available to undertake such studies. The most accepted, and therefore commonly used, of which is computer-based inundation mapping. By contrast the parametric approach of vulnerability assessment is increasingly accepted. Each of these approaches has advantages and disadvantages for decision makers and this paper focuses on how the two approaches compare in use. It is concluded that the parametric approach, here the FVI, is the only one which evaluates vulnerability to floods; whilst although the deterministic approach has limited evaluation of vulnerability, it has a better science base.
Bibliography:	http://dx.doi.org/10.1016/j.envsoft.2012.11.002
ISSN:	1364-8152 1873-6726
DOI:	10.1016/j.envsoft.2012.11.002