In this study, our objective was to assess coastal vulnerability to inundation due to global mean sea level rise in response to climate change to help prepare for future scenarios and typhoon-induced surges. To accomplish this, the coastal vulnerability index (CVI) was defined as a function of indicators representing elements of exposure, sensitivity, and adaptive capacity. Using these indicators, we analyzed the effects of sea level rise on coastal regions and their socio-economic levels. The relationship between exposure and adaptive capacity, as obtained from statistical data, was defined as the status assessment (SA). The effect of global mean sea level rise was obtained by adopting scenarios provided by the Intergovernmental Panel on Climate Change (IPCC) for 2030, 2050, and 2080. SA and CVI were calculated in 55 coastal regions consisting of metropolitan areas, cities, and rural areas. This study showed that the effects of climate change-driven sea level rise would increase CVI as the most dominant element. In rural areas, lower adaptive capacity scores would also lead to higher CVIs. Comparing future CVIs to the present, the most noticeable increases were predicted for rural areas. These estimations of CVI in response to climate change, alongside comparisons made with respect to time, region, and indicators, may help researchers in designing effective countermeasures for coastal management.

在这项研究中，我们的目标是评估沿海因应对气候变化而导致的全球平均海平面上升对洪水的脆弱性，以帮助为未来情景和台风引起的海啸做好准备。为实现这一目标，海岸脆弱性指数 (CVI) 被定义为代表暴露、敏感性和适应能力要素的指标的函数。使用这些指标，我们分析了海平面上升对沿海地区及其社会经济水平的影响。从统计数据中获得的暴露和适应能力之间的关系被定义为状态评估（SA）。全球平均海平面上升的影响是通过采用政府间气候变化专门委员会 (IPCC) 提供的 2030、2050 和 2080 年情景得出的。SA 和 CVI 在 55 个沿海地区进行了计算，包括大都市区、城市和农村地区。这项研究表明，气候变化驱动的海平面上升的影响将增加 CVI 作为最主要的因素。在农村地区，较低的适应能力得分也会导致较高的 CVI。将未来的 CVI 与现在进行比较，预计农村地区的增长最为显着。这些对气候变化响应的 CVI 估计，以及在时间、区域和指标方面的比较，可能有助于研究人员设计有效的沿海管理对策。较低的适应性能力分数也会导致较高的 CVI。将未来的 CVI 与现在进行比较，预计农村地区的增长最为显着。这些对气候变化响应的 CVI 估计，以及在时间、区域和指标方面的比较，可能有助于研究人员设计有效的沿海管理对策。较低的适应性能力分数也会导致较高的 CVI。将未来的 CVI 与现在进行比较，预计农村地区的增长最为显着。这些对气候变化响应的 CVI 估计，以及在时间、区域和指标方面的比较，可能有助于研究人员设计有效的沿海管理对策。