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Floodplain Inundation Analysis Combined with Contingent Valuation: Implications for Sustainable Flood Risk Management

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  • M. Ghanbarpour
  • Mohsen Saravi
  • Shokoufe Salimi

Abstract

This study presents the results of open-ended contingent valuation method (CVM) to estimate the residents’ maximum willingness to pay (WTP) for flood insurance and structural flood control measures in the Neka River Basin in Northern Iran. Flood inundation analysis and floodplain risk mapping were conducted by applying the HEC-RAS model combined with GIS analysis. A calibrated 100-year flood risk inundation map was considered as a basis for this research. This paper demonstrates applicability of CVM combined with flood inundation analysis to understand public participation for flood risk management, and their perception of flooding, considering associated socioeconomic and environmental factors. The results have shown that stated WTPs significantly varies with household income, distance people live from the river and the land use type of properties. Findings of this study suggest that the majority of respondents view flood hazard as the most important natural disaster. Furthermore, WTPs are significantly higher for those who have high level of flood risk perception. Three policy options for flood risk management are discussed, which include flood zoning and land use regulation, flood insurance program, and structural measure of levee construction. The advantages and disadvantages of each option are explored. It was concluded that a combination of possible mitigation options should be considered in order to achieve sustainable flood risk management in the Neka River Floodplain. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • M. Ghanbarpour & Mohsen Saravi & Shokoufe Salimi, 2014. "Floodplain Inundation Analysis Combined with Contingent Valuation: Implications for Sustainable Flood Risk Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2491-2505, July.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:9:p:2491-2505
    DOI: 10.1007/s11269-014-0622-2
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    References listed on IDEAS

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    3. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
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    5. Moinul Islam & Koji Kotani, 2014. "Perceptions to climatic changes and cooperative attitudes toward flood protection in Bangladesh," Working Papers EMS_2014_10, Research Institute, International University of Japan.
    6. Lu Peng & Zhihui Li, 2021. "Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    7. Marcelle Baptista & Ricardo Valcarcel & Vandré Maya & Fernando Canto, 2014. "Selection of Preferred Floodplains for the Renaturalization of Hydrologic Functions: A Case Study of the Paraíba do Sul River Basin, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4781-4793, October.
    8. Jingchao, Zhang & Kotani, Koji & Saijo, Tatsuyoshi, 2018. "Public acceptance of environmentally friendly heating in Beijing: A case of a low temperature air source heat pump," Energy Policy, Elsevier, vol. 117(C), pages 75-85.
    9. Ali Azarnivand & Arash Malekian, 2016. "Analysis of Flood Risk Management Strategies Based on a Group Decision Making Process via Interval-Valued Intuitionistic Fuzzy Numbers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1903-1921, April.
    10. Victor Champonnois & Olivier Chanel, 2016. "How useful are (Censored) Quantile Regressions for Contingent Valuation?," Working Papers 2016.12, FAERE - French Association of Environmental and Resource Economists.

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