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<p>Typhoons lead to meteorological disasters along the coastal region of China. Typhoons induce secondary hazards in cities such as flooding, landslides, vibration of high-rise buildings etc. This paper introduces an improved multi-criteria decision-making (MCDM) method, called the ECC model, for assessing the distribution of vulnerability to typhoon-induced flooding. The novelty of this method is its integration of weights calculated initially using the traditional entropy weight method (EWM), coefficient of variation method (CVM), and criteria importance through intercriteria correlation (CRITIC) method through a matrix-based weight combination approach; the vulnerability level is reflected through comprehensive scores. By applying historical data related to typhoon-induced flood disasters to this method, the vulnerability distribution in the Hainan Island region was estimated. The collected statistical data demonstrated that the proposed improved assessment method achieved results that corresponded highly with actual disaster situations, indicating the reliability of this method. Moreover, the results showed that the proposed ECC model predicted the disaster site due to the Yagi event accurately and reflected the field situation. This study serves as a valuable reference for disaster prevention/mitigation measurement.</p>

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Vulnerability mapping of typhoon-induced flooding based on ECC model

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月13日

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  • Zi-Kai Chen,
  • Shui-Long Shen,
  • Qian Zheng

摘要

Typhoons lead to meteorological disasters along the coastal region of China. Typhoons induce secondary hazards in cities such as flooding, landslides, vibration of high-rise buildings etc. This paper introduces an improved multi-criteria decision-making (MCDM) method, called the ECC model, for assessing the distribution of vulnerability to typhoon-induced flooding. The novelty of this method is its integration of weights calculated initially using the traditional entropy weight method (EWM), coefficient of variation method (CVM), and criteria importance through intercriteria correlation (CRITIC) method through a matrix-based weight combination approach; the vulnerability level is reflected through comprehensive scores. By applying historical data related to typhoon-induced flood disasters to this method, the vulnerability distribution in the Hainan Island region was estimated. The collected statistical data demonstrated that the proposed improved assessment method achieved results that corresponded highly with actual disaster situations, indicating the reliability of this method. Moreover, the results showed that the proposed ECC model predicted the disaster site due to the Yagi event accurately and reflected the field situation. This study serves as a valuable reference for disaster prevention/mitigation measurement.