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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2016-12-01
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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 |
work_keys_str_mv |
AT fdottori insydeasyntheticprobabilisticflooddamagemodelbasedonexplicitcostanalysis AT rfigueiredo insydeasyntheticprobabilisticflooddamagemodelbasedonexplicitcostanalysis AT mlvmartina insydeasyntheticprobabilisticflooddamagemodelbasedonexplicitcostanalysis AT dmolinari insydeasyntheticprobabilisticflooddamagemodelbasedonexplicitcostanalysis AT arscorzini insydeasyntheticprobabilisticflooddamagemodelbasedonexplicitcostanalysis |
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1725666334122967040 |