Abstract：
With climate change and urbanization, flood disasters have significantly affected urban development worldwide. In this study, we developed a paradigm to assess flood economic vulnerability and risk at the urban mesoscale, focusing on urban land use. A hydrological simulation was used to evaluate flood hazards through inundation analyses, and a hazard-vulnerability matrix was applied to assess flood risk, enhancing the economic vulnerability assessment by quantifying the differing economic value and flood losses associated with different land types. The case study of Wangchengpo, Changsha, China, found average total economic losses of 126.94 USD/m2, with the highest risk in the settlement core. Residential areas had the highest flood hazard, vulnerability, and losses (61.10% of the total loss); transportation areas accounted for 27.87% of the total economic losses due to their high flooding depth. Despite low inundation, industrial land showed greater economic vulnerability due to higher overall economic value (10.52% of the total). Our findings highlight the influence of land types and industry differences on flood vulnerability and the effectiveness of land-use inclusion in urban-mesoscale analyses of spatial flood characteristics. We identify critical areas with hazard and economic vulnerability for urban land and disaster prevention management and planning, helping to offer targeted flood control strategies to enhance urban resilience.
摘要：
随着气候变化和城市化，洪水灾害严重影响了世界范围内的城市发展。在这项研究中,我们开发了一个范式来评估城市中尺度的洪水经济脆弱性和风险，以城市土地利用为重点。水文模拟用于通过淹没分析评估洪水灾害，并应用了灾害脆弱性矩阵来评估洪水风险，通过量化与不同土地类型相关的不同经济价值和洪水损失，加强经济脆弱性评估。以王城坡为例，长沙,中国,发现平均总经济损失为126.94美元/平方米，结算核心风险最高。住宅区的洪水灾害最大，脆弱性,和损失(占总损失的61.10%);交通运输区由于其较高的洪水深度,造成总经济损失的27.87%。尽管洪水很少，工业用地由于整体经济价值较高(占总数的10.52%)，表现出更大的经济脆弱性。我们的发现强调了土地类型和行业差异对洪水脆弱性的影响，以及在空间洪水特征的城市中尺度分析中土地利用包含的有效性。我们为城市土地和防灾管理和规划确定了具有危险和经济脆弱性的关键区域，帮助提供有针对性的防洪策略，以增强城市韧性。
