面向气候变化极端情况的物理系统适配性脆弱性建模
Vulnerability Modeling for the Adaptation of Physical Systems to Climate Change Extremes
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中文总结 AI 辅助
该研究针对气候变化极端情况，提出物理系统脆弱性模型的概念框架，以输电塔阵风灾害案例验证其可通过降低内在脆弱性指导适配的作用。
中文摘要 AI 辅助
气候变化正在以非均匀的空间方式改变极端灾害的发生频率和强度，增加了现有物理系统的损坏风险。基于脆弱性曲线的脆弱性建模建立了灾害强度与物理损坏之间的定量联系，为适配策略提供支持。本文提出了气候变化背景下物理系统脆弱性模型的概念框架，旨在支持基于脆弱性的适配。一个理论用例说明了该方法：对法国面临阵风灾害的输电塔的潜在损坏进行建模，使用脆弱性曲线。尽管存在较强假设，该理论案例研究表明，脆弱性模型可通过降低内在脆弱性、调整物理系统以在不断变化的气候极端事件下维持可接受的损坏水平，来指导适配工作。
英文摘要
Climate change is modifying the frequency and intensity of extreme hazards in a non-uniform spatial manner, increasing the risk of damage for existing physical systems. Vulnerability modeling based on vulnerability curves provides a quantitative link between hazard intensity and physical damage, supporting adaptation strategies. This paper proposes conceptual frameworks for vulnerability models of physical systems in the context of climate change, aimed at supporting vulnerability based adaptation. A theoretical use case illustrates the methodology: potential damage on power transmission towers facing wind gust hazards across France, modeled through vulnerability curves. Despite strong assumptions, this theoretical case study demonstrates how vulnerability models can guide adaptation by reducing intrinsic vulnerability, adapting the physical system to maintain acceptable damage levels under evolving climate extremes.
