Comprehensive economic losses assessment of storm surge disasters using open data: a case study of Zhoushan, China

Bairu Chen, Zhiguo He, Li Li, Qian Chen, Junyu He, Feixiang Li, Dongdong Chu, Zeng Cao, Xuchao Yang
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Abstract

As climate change continues to worsen, coastal areas are increasingly vulnerable to more frequent and severe storm surges. This poses a significant risk to economic entities, particularly in areas that have undergone rapid development. However, quantitative assessment of economic losses from storm surge disasters in China has been challenging due to limited exposure and vulnerability data. This study proposes a framework for comprehensive economic losses assessment of storm surge disasters using open data, focusing on Zhoushan City as an example. The study quantifies economic loss ratios caused by storm surges by identifying essential urban land use/cover (EULUC) and considering the water depth of different EULUC types for quantitative vulnerability assessment. The study then calculates direct economic losses using the loss ratio maps and gridded gross domestic product data and quantifies indirect economic losses (IEL) using an input–output model to account for inter-industry correlation. Results show that under the scenario of a super typhoon intensity (915 hPa), the total economic loss can reach 131 million CNY, with IEL accounting for 60% of the total. The construction and industrial sectors experience higher IEL due to excessive dependence on upstream and downstream industries, with IEL accounting for approximately 70%.
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利用开放数据全面评估风暴潮灾害的经济损失:中国舟山案例研究
随着气候变化的持续恶化,沿海地区越来越容易受到更加频繁和严重的风暴潮的影响。这给经济实体带来了巨大风险,尤其是在经历了快速发展的地区。然而,由于暴露和脆弱性数据有限,对中国风暴潮灾害造成的经济损失进行定量评估一直具有挑战性。本研究以舟山市为例,利用开放数据提出了风暴潮灾害经济损失综合评估框架。该研究通过识别基本城市土地利用/覆盖(EULUC)和考虑不同 EULUC 类型的水深来量化脆弱性评估,从而量化风暴潮造成的经济损失比率。然后,该研究利用损失率地图和网格化国内生产总值数据计算直接经济损失,并利用投入产出模型量化间接经济损失(IEL),以考虑行业间的相关性。结果显示,在超强台风强度(915 hPa)的情况下,经济损失总额可达 1.31 亿元人民币,其中间接经济损失占总额的 60%。建筑业和工业部门由于过度依赖上下游产业,IEL 值较高,约占 70%。
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