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<p>Flood risk assessments in urban areas often prioritize hazard while overlooking the critical role of vulnerability and flood damage estimates in decision-making. This study highlights the hidden potential of flood damage mapping as a decision-support tool in flood risk management. The novelty of this paper lies in its focus on how flood damage mapping can inform flood-prone area prioritization, rather than merely presenting damage estimates, which is an aspect rarely emphasized in existing studies, particularly in developing countries where the use of flood damage maps remains limited. Flood damage maps were produced for the residential areas of the Kuantan River Basin applying a multivariate model that integrates property values, socioeconomic indicators, and flood characteristics. Hydrological and hydraulic simulations were performed using HEC-HMS and HEC-RAS, while damage estimation incorporated a site-specific flood depth-damage curves derived through a machine learning approach. The results revealed significant disparities between hazard characteristics and economic losses, particularly across different residential areas. Taman Bukit Rangin, although severely inundated, exhibited lower economic damage, whereas Perkampungan Sungai Isap sustained disproportionately high losses. These findings emphasize that the severity of flood depth alone is insufficient for prioritizing high-risk areas, as regions with relatively shallow inundation may still experience substantial economic damage due to high vulnerability. The study provides new insights for urban planners, as well as policymakers to develop more equitable and targeted flood mitigation strategies.</p>

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Beyond hazard: leveraging flood damage mapping in the prioritization of flood-prone areas

  • 期刊论文

  • 发表日期：

    2026年6月16日

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  • Noor Suraya Romali,
  • Abdullah Mukmin Ahmad,
  • Akiyuki Kawasaki,
  • Sumiliana Sulong

摘要

Flood risk assessments in urban areas often prioritize hazard while overlooking the critical role of vulnerability and flood damage estimates in decision-making. This study highlights the hidden potential of flood damage mapping as a decision-support tool in flood risk management. The novelty of this paper lies in its focus on how flood damage mapping can inform flood-prone area prioritization, rather than merely presenting damage estimates, which is an aspect rarely emphasized in existing studies, particularly in developing countries where the use of flood damage maps remains limited. Flood damage maps were produced for the residential areas of the Kuantan River Basin applying a multivariate model that integrates property values, socioeconomic indicators, and flood characteristics. Hydrological and hydraulic simulations were performed using HEC-HMS and HEC-RAS, while damage estimation incorporated a site-specific flood depth-damage curves derived through a machine learning approach. The results revealed significant disparities between hazard characteristics and economic losses, particularly across different residential areas. Taman Bukit Rangin, although severely inundated, exhibited lower economic damage, whereas Perkampungan Sungai Isap sustained disproportionately high losses. These findings emphasize that the severity of flood depth alone is insufficient for prioritizing high-risk areas, as regions with relatively shallow inundation may still experience substantial economic damage due to high vulnerability. The study provides new insights for urban planners, as well as policymakers to develop more equitable and targeted flood mitigation strategies.