IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v39y2019i2d10.1007_s10669-018-9716-3.html
   My bibliography  Save this article

Comparative analyses of flood damage models in three Asian countries: towards a regional flood risk modelling

Author

Listed:
  • Akinola Adesuji Komolafe

    (United Nations University
    Federal University of Technology)

  • Srikantha Herath

    (United Nations University
    Ministry of Megapolis and Western Development)

  • Ram Avtar

    (United Nations University
    Hokkaido University)

  • Jean-Francois Vuillaume

    (United Nations University
    Global Hydrology and Water Resources Engineering
    Japan Agency for Marine-Earth Science and Technology)

Abstract

The use of different approaches in the development of flood damage models in various countries is expected to affect flood damage modelling at a regional or global scale. Since these models are often used as tools for disaster management and decision making, it is very needful to understand the comparative similarity and differences in countries’ loss models; this can help in the overall integration for developing regional risk models and cross-country risk assessment. In this study, empirically generated generalised loss models in three Asian countries (Sri Lanka, Thailand and Japan) were compared and applied to estimate potential flood damages in two different urban river basins. For each case study, each model was normalised using cost prices and floor areas (as applied to each country) and were integrated within the Geographic Information Systems (GIS) to estimate damages for the flood events. Using the mean vulnerability index of corresponding building types for the selected countries, a single model for regional flood risk assessment was created. However, the study showed that there are variations in the vulnerability and the potential flood damage estimates of similar global building types from the three countries, despite being developed by the same approach. These are attributed to the country’s specific conditions such as building regulations and codes, GDP per capita, cost price of building materials. Our results suggest that the average vulnerability index from the countries however reduced potential errors in the estimates. Moreover, it is proposed that the average regional vulnerability model derived with empirical data inputs from all the countries for regional risk assessment and cross-country comparison. Therefore, it can predict near accurate potential flood damages, which can serve as measures for regional flood disaster risk management plans.

Suggested Citation

  • Akinola Adesuji Komolafe & Srikantha Herath & Ram Avtar & Jean-Francois Vuillaume, 2019. "Comparative analyses of flood damage models in three Asian countries: towards a regional flood risk modelling," Environment Systems and Decisions, Springer, vol. 39(2), pages 229-246, June.
  • Handle: RePEc:spr:envsyd:v:39:y:2019:i:2:d:10.1007_s10669-018-9716-3
    DOI: 10.1007/s10669-018-9716-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-018-9716-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10669-018-9716-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonkman, S.N. & Bockarjova, M. & Kok, M. & Bernardini, P., 2008. "Integrated hydrodynamic and economic modelling of flood damage in the Netherlands," Ecological Economics, Elsevier, vol. 66(1), pages 77-90, May.
    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. 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.

    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. Aaron B. Gertz & James B. Davies & Samantha L. Black, 2019. "A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1314-1341, June.
    2. Sergii Skakun & Nataliia Kussul & Andrii Shelestov & Olga Kussul, 2014. "Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1521-1537, August.
    3. Weijiang Li & Jiahong Wen & Bo Xu & Xiande Li & Shiqiang Du, 2018. "Integrated Assessment of Economic Losses in Manufacturing Industry in Shanghai Metropolitan Area Under an Extreme Storm Flood Scenario," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    4. Thomas D. Pol & Ekko C. Ierland & Silke Gabbert, 2017. "Economic analysis of adaptive strategies for flood risk management under climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(2), pages 267-285, February.
    5. 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.
    6. Riyanti Djalante & Cameron Holley & Frank Thomalla & Michelle Carnegie, 2013. "Pathways for adaptive and integrated disaster resilience," 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. 69(3), pages 2105-2135, December.
    7. K. M. Bruijn & N. Lips & B. Gersonius & H. Middelkoop, 2016. "The storyline approach: a new way to analyse and improve flood event management," 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. 81(1), pages 99-121, March.
    8. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2016. "Flood damage assessment of an urban area in Taiwan," 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. 83(2), pages 1045-1055, September.
    9. Anna Rita Scorzini & Maurizio Leopardi, 2017. "River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy)," 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. 88(1), pages 71-93, August.
    10. Balbi Stefano & Giupponi Carlo & Olschewski Roland & Mojtahed Vahid, 2015. "The Total Cost of Water-Related Disasters," Review of Economics, De Gruyter, vol. 66(2), pages 225-252, August.
    11. Pini Wijayanti & Xueqin Zhu & Petra Hellegers & Yus Budiyono & Ekko C. van Ierland, 2017. "Estimation of river flood damages in 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. 86(3), pages 1059-1079, April.
    12. Lendering, K.T. & Jonkman, S.N. & van Gelder, P.H.A.J.M. & Peters, D.J., 2015. "Risk-based optimization of land reclamation," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 193-203.
    13. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.
    14. Kanitsorn Terdpaopong & Robert C. Rickards, 2021. "Thai Non-Life Insurance Companies’ Resilience and the Historic 2011 Floods: Some Recommendations for Greater Sustainability," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    15. E. Perera & A. Hiroe & D. Shrestha & K. Fukami & D. Basnyat & S. Gautam & A. Hasegawa & T. Uenoyama & S. Tanaka, 2015. "Community-based flood damage assessment approach for lower West Rapti River basin in Nepal under the impact of climate change," 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 669-699, January.
    16. Albert S. Chen & Michael J. Hammond & Slobodan Djordjević & David Butler & David M. Khan & William Veerbeek, 2016. "From hazard to impact: flood damage assessment tools for mega cities," 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. 82(2), pages 857-890, June.
    17. Xi Wang & Zhanyan Liu & Huili Chen, 2022. "Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework," Agriculture, MDPI, vol. 12(4), pages 1-23, March.
    18. Rastegaripour, Fatemeh & Tavassoli, Abolfazl & Babaeian, Mahdi & Fernández-Gálvez, Jesús & Caballero-Calvo, Andrés, 2024. "Assessing the impacts of climate change on water resource management and crop patterns in Eastern Iran," Agricultural Water Management, Elsevier, vol. 295(C).
    19. Sauer, J., 2012. "Natural disasters and agriculture: individual risk preferences towards flooding," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 47, March.
    20. Utkur Djanibekov & Maksym Polyakov & Heather Craig & Ryan Paulik, 2024. "Flood Impacts on Agriculture under Climate Change: The case of the Awanui Catchment, New Zealand," Economics of Disasters and Climate Change, Springer, vol. 8(2), pages 283-316, July.

    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:spr:envsyd:v:39:y:2019:i:2:d:10.1007_s10669-018-9716-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.