Ziying Zhou , Saini Yang , Siqin Wang , Xiaoyan Liu , Fuyu Hu , Yaqiao Wu , Yu Chen
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引用次数: 0
Abstract
Compound hazards caused by tropical cyclones involve interactions among multiple hazards, such as wind, rainfall, and storm surge, significantly increasing the uncertainty and destructiveness of disasters. Existing studies primarily focus on probabilistic analyses of single or dual hazards associated with tropical cyclones, revealing limitations in handling high-dimensional data and complex dependencies. This study developed the ComHazAsTC-RRE (Compound Hazard Assessment of Tropical Cyclones within Repeatable, Reproducible, and Expandable Framework) model to analyze the compound hazards of wind, rainfall, and storm surge induced by tropical cyclones and successfully applied it to China’s coast. We collected globally accessible daily records of maximum wind speed, cumulative rainfall, and maximum storm surge for China’s coastal areas from 1979 to 2018. Using a C-Vine Copula with wind speed as the core, incorporating rainfall and storm surge as branches, we accurately captured complex dependencies of tropical cyclones. Our various return period analyses underscore the importance of considering multiple hazards and their interactions. Additionally, the application of Compound Hazard Index in China reveals that southeastern coastal areas are subjected to significantly higher compound hazards, driven by high wind speeds and strong spatial–temporal consistency of hazards. An in-depth analysis of failure probabilities indicates that neglecting the interactions among hazards can result in substantial additional cost for engineering projects, especially during severe tropical cyclones. This study offers new perspectives and scientific tools for understanding and addressing compound hazards, formulating effective disaster prevention and mitigation strategies, and supporting the sustainable development of coastal regions worldwide.
热带气旋造成的复合灾害涉及风、雨和风暴潮等多种灾害之间的相互作用,大大增加了灾害的不确定性和破坏性。现有的研究主要集中在与热带气旋相关的单一或双重危害的概率分析上,揭示了在处理高维数据和复杂依赖关系方面的局限性。本研究建立了ComHazAsTC-RRE (Compound Hazard Assessment of Tropical cyclone within Repeatable, Reproducible, and Expandable Framework)模型,分析了热带气旋引起的风、雨、风暴潮的复合危害,并成功应用于中国沿海地区。我们收集了1979年至2018年中国沿海地区全球可获取的最大风速、累积降雨量和最大风暴潮的日记录。使用以风速为核心,以降雨和风暴潮为分支的C-Vine Copula,我们准确地捕捉了热带气旋的复杂依赖关系。我们的各种回报期分析强调了考虑多种危害及其相互作用的重要性。复合灾害指数在中国的应用表明,东南沿海地区受高风速和强时空一致性的影响,复合灾害强度显著增加。对破坏概率的深入分析表明,忽视灾害之间的相互作用可能导致工程项目的大量额外成本,特别是在严重的热带气旋期间。该研究为认识和应对复合灾害,制定有效的防灾减灾战略,支持全球沿海地区的可持续发展提供了新的视角和科学工具。
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.