INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis

Methodologies to estimate economic flood damages are increasingly important for flood risk assessment and management. In this work, we present a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an exp...

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Main Authors: F. Dottori, R. Figueiredo, M. L. V. Martina, D. Molinari, A. R. Scorzini
Format: Article
Language:English
Published: Copernicus Publications 2016-12-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/16/2577/2016/nhess-16-2577-2016.pdf
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spelling doaj-710527d47ef2441e9f2914ad6ef92fc62020-11-24T22:52:25ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-12-0116122577259110.5194/nhess-16-2577-2016INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysisF. Dottori0R. Figueiredo1M. L. V. Martina2D. Molinari3A. R. Scorzini4European Commission, Joint Research Centre, Ispra, ItalyScuola Universitaria Superiore IUSS Pavia, Pavia, ItalyScuola Universitaria Superiore IUSS Pavia, Pavia, ItalyDipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Milano, ItalyDipartimento di Ingegneria Civile, Edile-Architettura e Ambientale, Università degli Studi dell'Aquila, L'Aquila, ItalyMethodologies to estimate economic flood damages are increasingly important for flood risk assessment and management. In this work, we present a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys carried out for past flood events in Italy. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts and adapted to the actual knowledge of hazard and vulnerability variables.<br><br> The model has been tested in a recent flood event in northern Italy. Validation results provided good estimates of post-event damages, with similar or superior performances when compared with other damage models available in the literature. In addition, a local sensitivity analysis was performed in order to identify the hazard variables that have more influence on damage assessment results.</p>http://www.nat-hazards-earth-syst-sci.net/16/2577/2016/nhess-16-2577-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Dottori
R. Figueiredo
M. L. V. Martina
D. Molinari
A. R. Scorzini
spellingShingle F. Dottori
R. Figueiredo
M. L. V. Martina
D. Molinari
A. R. Scorzini
INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
Natural Hazards and Earth System Sciences
author_facet F. Dottori
R. Figueiredo
M. L. V. Martina
D. Molinari
A. R. Scorzini
author_sort F. Dottori
title INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
title_short INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
title_full INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
title_fullStr INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
title_full_unstemmed INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis
title_sort insyde: a synthetic, probabilistic flood damage model based on explicit cost analysis
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2016-12-01
description Methodologies to estimate economic flood damages are increasingly important for flood risk assessment and management. In this work, we present a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys carried out for past flood events in Italy. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts and adapted to the actual knowledge of hazard and vulnerability variables.<br><br> The model has been tested in a recent flood event in northern Italy. Validation results provided good estimates of post-event damages, with similar or superior performances when compared with other damage models available in the literature. In addition, a local sensitivity analysis was performed in order to identify the hazard variables that have more influence on damage assessment results.</p>
url http://www.nat-hazards-earth-syst-sci.net/16/2577/2016/nhess-16-2577-2016.pdf
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