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Improving Flood Damage Assessment Models in Italy

Author

Listed:
  • Mattia Amadio

    (Fondazione Eni Enrico Mattei and Euro-Mediterranean Centre on Climate Change, Italy)

  • Jaroslav Mysiak

    (Fondazione Eni Enrico Mattei and Euro-Mediterranean Centre on Climate Change, Italy)

  • Lorenzo Carrera

    (Fondazione Eni Enrico Mattei and Euro-Mediterranean Centre on Climate Change, Italy)

  • Elco Koks

    (Institute for Environmental Studies (IVM), VU University Amsterdam, The Netherlands)

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).

Suggested Citation

  • Mattia Amadio & Jaroslav Mysiak & Lorenzo Carrera & Elco Koks, 2015. "Improving Flood Damage Assessment Models in Italy," Working Papers 2015.92, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2015.92
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    Cited by:

    1. María Bermúdez & Andreas Paul Zischg, 2018. "Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1633-1648, July.
    2. Jidong Wu & Mengqi Ye & Xu Wang & Elco Koks, 2019. "Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    3. Fajar Yulianto & Muhammad Rokhis Khomarudin & Eddy Hermawan & Syarif Budhiman & Parwati Sofan & Galdita Aruba Chulafak & Nunung Puji Nugroho & Randy Prima Brahmantara & Gatot Nugroho & Suwarsono Suwar, 2023. "The development of the Raster-based Probability Flood Inundation Model (RProFIM) approach for flood modelling in the upstream Citarum Watershed, West Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1887-1922, June.
    4. Borowska-Stefańska, Marta & Kobojek, Sławomir & Kowalski, Michał & Lewicki, Marek & Tomalski, Przemysław & Wiśniewski, Szymon, 2021. "Changes in the spatial development of flood hazard areas in Poland between 1990 and 2018 in the light of legal conditions," Land Use Policy, Elsevier, vol. 102(C).
    5. Md Shahinoor Rahman & Liping Di, 2020. "A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment," Agriculture, MDPI, vol. 10(4), pages 1-30, April.

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    More about this item

    Keywords

    Flood Risk Management; Stage Depth Damage Curves; Economic Damage; Disaster Losses; Italy;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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