IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i7p2666-d338032.html
   My bibliography  Save this article

Flood Depth‒Damage Curves for Spanish Urban Areas

Author

Listed:
  • Eduardo Martínez-Gomariz

    (Cetaqua, Water Technology Centre, Carretera d’Esplugues, 75, 08940 Cornellà de Llobregat, Spain
    Flumen Research Institute, Universitat Politècnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain)

  • Edwar Forero-Ortiz

    (Cetaqua, Water Technology Centre, Carretera d’Esplugues, 75, 08940 Cornellà de Llobregat, Spain
    Flumen Research Institute, Universitat Politècnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain)

  • María Guerrero-Hidalga

    (Cetaqua, Water Technology Centre, Carretera d’Esplugues, 75, 08940 Cornellà de Llobregat, Spain)

  • Salvador Castán

    (Agencia Pericial (AGPERICIAL). Calle de Vista Alegre, 6 Bjs, 08940 Cornellà de Llobregat, Spain)

  • Manuel Gómez

    (Cetaqua, Water Technology Centre, Carretera d’Esplugues, 75, 08940 Cornellà de Llobregat, Spain
    Flumen Research Institute, Universitat Politècnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain)

Abstract

Depth‒damage curves, also known as vulnerability curves, are an essential element of many flood damage models. A relevant characteristic of these curves is their applicability limitations in space and time. The reader will find firstly in this paper a review of different damage models and depth‒damage curve developments in the world, particularly in Spain. In the framework of the EU-funded RESCCUE project, site-specific depth‒damage curves for 14 types of property uses have been developed for Barcelona. An expert flood surveyor’s opinion was essential, as the occasional lack of data was made up for by his expertise. In addition, given the lack of national standardization regarding the applicability of depth‒damage curves for flood damage assessments in Spanish urban areas, regional adjustment indices have been derived for transferring the Barcelona curves to other municipalities. Temporal adjustment indices have been performed in order to modify the depth‒damage curves for the damage estimation of future flood events, too. This study attempts to provide nationwide applicability in flood damage reduction studies.

Suggested Citation

  • Eduardo Martínez-Gomariz & Edwar Forero-Ortiz & María Guerrero-Hidalga & Salvador Castán & Manuel Gómez, 2020. "Flood Depth‒Damage Curves for Spanish Urban Areas," Sustainability, MDPI, vol. 12(7), pages 1-25, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2666-:d:338032
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/7/2666/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/7/2666/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefania D'Amico & Athanasios Orphanides, 2008. "Uncertainty and disagreement in economic forecasting," Finance and Economics Discussion Series 2008-56, Board of Governors of the Federal Reserve System (U.S.).
    2. Jan Huizinga & Hans de Moel & Wojciech Szewczyk, 2017. "Global flood depth-damage functions: Methodology and the database with guidelines," JRC Research Reports JRC105688, Joint Research Centre.
    3. van Manen, Sipke E. & Brinkhuis, Martine, 2005. "Quantitative flood risk assessment for Polders," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 229-237.
    4. Yus Budiyono & Jeroen Aerts & JanJaap Brinkman & Muh Marfai & Philip Ward, 2015. "Flood risk assessment for delta mega-cities: a case study of Jakarta," 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. 75(1), pages 389-413, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sofia Sarchani & Aristeidis G. Koutroulis, 2022. "Probabilistic dam breach flood modeling: the case of Valsamiotis dam in Crete," 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. 114(2), pages 1763-1814, November.
    2. T. E. Ologunorisa & O. Obioma & A. O. Eludoyin, 2022. "Urban flood event and associated damage in the Benue valley, Nigeria," 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. 111(1), pages 261-282, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nofal, Omar M. & van de Lindt, John W. & Do, Trung Q., 2020. "Multi-variate and single-variable flood fragility and loss approaches for buildings," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Orphanides, Athanasios & Williams, John C., 2008. "Learning, expectations formation, and the pitfalls of optimal control monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 80-96, October.
    3. Giuliano Di Baldassarre & Attilio Castellarin & Alberto Montanari & Armando Brath, 2009. "Probability-weighted hazard maps for comparing different flood risk management strategies: a case study," 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. 50(3), pages 479-496, September.
    4. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    5. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    6. William G. Bennett & Harshinie Karunarathna & Yunqing Xuan & Muhammad S. B. Kusuma & Mohammad Farid & Arno A. Kuntoro & Harkunti P. Rahayu & Benedictus Kombaitan & Deni Septiadi & Tri N. A. Kesuma & R, 2023. "Modelling compound flooding: a case study from Jakarta, 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. 118(1), pages 277-305, August.
    7. Levin, Andrew T., 2014. "The design and communication of systematic monetary policy strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 49(C), pages 52-69.
    8. Jantsje M. Mol & W. J. Wouter Botzen & Julia E. Blasch & Hans de Moel, 2020. "Insights into Flood Risk Misperceptions of Homeowners in the Dutch River Delta," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1450-1468, July.
    9. Artur Tarassow, 2017. "Forecasting growth of U.S. aggregate and household-sector M2 after 2000 using economic uncertainty measures," Macroeconomics and Finance Series 201702, University of Hamburg, Department of Socioeconomics.
    10. Mohamed Kefi & Binaya Kumar Mishra & Yoshifumi Masago & Kensuke Fukushi, 2020. "Analysis of flood damage and influencing factors in urban catchments: case studies in Manila, Philippines, and Jakarta, 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. 104(3), pages 2461-2487, December.
    11. Ruben Prütz & Peter Månsson, 2021. "A GIS-based approach to compare economic damages of fluvial flooding in the Neckar River basin under current conditions and future scenarios," 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. 108(2), pages 1807-1834, September.
    12. Michele Loberto & Matteo Spuri, 2023. "The impact of flood risk on real estate wealth in Italy," Questioni di Economia e Finanza (Occasional Papers) 768, Bank of Italy, Economic Research and International Relations Area.
    13. José Armando Cobián Álvarez & Budy P. Resosudarmo, 2019. "The cost of floods in developing countries’ megacities: a hedonic price analysis of the Jakarta housing market, Indonesia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 555-577, October.
    14. Tesselaar, Max & Botzen, W.J. Wouter & Robinson, Peter J. & Aerts, Jeroen C.J.H. & Zhou, Fujin, 2022. "Charity hazard and the flood insurance protection gap: An EU scale assessment under climate change," Ecological Economics, Elsevier, vol. 193(C).
    15. Vana Tsimopoulou & Matthijs Kok & Johannes Vrijling, 2015. "Economic optimization of flood prevention systems in the Netherlands," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(6), pages 891-912, August.
    16. Julien Boulange & Yukiko Hirabayashi & Masahiro Tanoue & Toshinori Yamada, 2023. "Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios," 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. 118(3), pages 1855-1879, September.
    17. Arjen Hoekstra & Jean-Luc Kok, 2008. "Adapting to climate change: a comparison of two strategies for dike heightening," 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. 47(2), pages 217-228, November.
    18. Breach, Tomas & D’Amico, Stefania & Orphanides, Athanasios, 2020. "The term structure and inflation uncertainty," Journal of Financial Economics, Elsevier, vol. 138(2), pages 388-414.
    19. Roman Schotten & Daniel Bachmann, 2023. "Integrating Critical Infrastructure Networks into Flood Risk Management," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    20. Cuneyt Yavuz & Elcin Kentel & Mustafa M. Aral, 2020. "Tsunami risk assessment: economic, environmental and social dimensions," 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. 104(2), pages 1413-1442, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2666-:d:338032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.