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arXiv · 2207.08303

A Novel Composite Resilience Indicator for Decentralized Infrastructure Systems (CRI-DS)

Lamis Amer·Murat Erkoc·Esber Andiroglu·Nurcin Celik
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Abstract

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.

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Lamis Amer, Murat Erkoc, Esber Andiroglu, Nurcin Celik. 2022-07-17. A Novel Composite Resilience Indicator for Decentralized Infrastructure Systems (CRI-DS). https://arxiv.org/abs/2207.08303

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