Improving Flood Damage Assessment Models in Italy

25 Pages Posted: 16 Jan 2016

See all articles by Mattia Amadio

Mattia Amadio

Fondazione Eni Enrico Mattei

Jaroslav Mysiak

Fondazione Eni Enrico Mattei (FEEM)

Lorenzo Carrera

Fondazione Eni Enrico Mattei

Elco Koks

VU University Amsterdam - Institute for Environmental Studies (IVM)

Date Written: August 2015

Abstract

Flood damage assessments are often based on Stage-Damage Curve (SDC) models that estimate economic damage as a function of flood characteristics, typically flood depths, and land use. SDCs are developed through site-specific analysis but rarely adjusted to economic circumstances in areas to which they are applied. In Italy, assessments confide in SDC models developed elsewhere, even if empirical damage reports are collected after every major flood event. In this paper we tested, adapted and extended an up-to-date SDC model using flood records from Northern Italy. The model calibration is underpinned with empirical data from compensation records. Our analysis takes into account both physical asset and foregone production losses, the latter measured amidst the spatially distributed gross added value (GVA).

Keywords: Flood Risk Management, Stage Depth Damage Curves, Economic Damage, Disaster Losses, Italy

JEL Classification: Q54

Suggested Citation

Amadio, Mattia and Mysiak, Jaroslav and Carrera, Lorenzo and Koks, Elco, Improving Flood Damage Assessment Models in Italy (August 2015). FEEM Working Paper No. 92.2015, Available at SSRN: https://ssrn.com/abstract=2716010 or http://dx.doi.org/10.2139/ssrn.2716010

Mattia Amadio (Contact Author)

Fondazione Eni Enrico Mattei ( email )

C.so Magenta 63
Milano, 20123
Italy

Jaroslav Mysiak

Fondazione Eni Enrico Mattei (FEEM) ( email )

C.so Magenta 63
Milano, 20123
Italy

Lorenzo Carrera

Fondazione Eni Enrico Mattei ( email )

C.so Magenta 63
Milano, 20123
Italy

Elco Koks

VU University Amsterdam - Institute for Environmental Studies (IVM) ( email )

De Boelelaan 1115
Amsterdam, 1081 HV
Netherlands

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