论文标题
分散基础设施系统（CRI-DS）的新型复合弹性指标
A Novel Composite Resilience Indicator for Decentralized Infrastructure Systems (CRI-DS)
论文作者
论文摘要
弹性是计划适应策略以减轻自然和人为危害的风险的关键驱动力。弹性驱动的决策策略对适应压力源的有效性取决于如何将弹性映射到决策变量。这需要功能弹性指标，没有它，就无法确定改进，评估变更或显示适应后弹性的改善的优先级需求。在本文中，我们旨在通过提出一种基于复合弹性指标概念的新型基于模型的弹性评估策略来为现有方法做出贡献。我们提出的指标具有功能性，可再现的作用，并映射为适应决策。我们提出了一个将开发的弹性功能形式集成到适应决策模型中的框架。为了说明我们的方法，我们使用案例研究来评估因海平面上升而暴露于风险的现场废水处理和处置系统（OSTDS）的弹性。
Resilience is a key driver for planning adaptation strategies to mitigate risks due to both natural and anthropogenic hazards. The effectiveness of a resilience-driven decision-making strategy for adapting systems against stressors depends on how resilience is mapped to decision variables. This requires a functional resilience metric, without which it would not be possible to identify the priority needs for improvement, assess changes, or show improvement in post-adaptation resilience. In this paper, we aim to contribute to existing methodologies by proposing a novel model-based resilience assessment strategy while building on the notion of composite resilience indicators. Our proposed indicator is functional, reproducible, and is mapped to adaptation decisions. We propose a framework for integrating the developed resilience functional form into an adaptation decision-making model. To illustrate our approach, we use a case study on assessing resilience of On-Site Wastewater Treatment and Disposal Systems (OSTDS) exposed to risks due to sea-level rise.
