Climate stress testing for water systems: Review and guide for applications

WIREs Water Pub Date : 2024-07-14 DOI:10.1002/wat2.1747
K. Fowler, Thomas A. McMahon, Seth Westra, Avril Horne, Joseph H. A. Guillaume, Danlu Guo, R. Nathan, H. R. Maier, A. John
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Abstract

Together with other “bottom‐up” methods, climate stress testing is becoming a prominent approach for climate change impact assessment of water systems. Compared with traditional approaches, stress testing is: (i) more focused on exploring the vulnerabilities of the system at hand; (ii) potentially more inclusive, being amenable to stakeholder involvement and (iii) well suited to identify robust policy options that better account for the deep uncertainty associated with multiple plausible futures. Stress testing is rapidly evolving and giving rise to new techniques and concepts, but few articles provide an accessible overview that can serve as an introduction to the field. Here, we review the underlying principles and concepts of climate stress testing, providing a guide to the main decisions involved in practical application. Topics include selection of stressors, characterizing and exploring the exposure space and data generation including the use of stochastic data. In a complex world where water decisions are made in the context of wider socio‐ecological systems, stress testing and other bottom‐up methods can support decisions that are not only robust to future uncertainty but also regarded as legitimate by affected communities.This article is categorized under: Engineering Water > Sustainable Engineering of Water Science of Water > Water and Environmental Change Water and Life > Stresses and Pressures on Ecosystems
水系统气候压力测试:回顾与应用指南
气候压力测试与其他 "自下而上 "的方法一起,正在成为对水系进行气候变化影响评估的一种重要方法。与传统方法相比,压力测试:(i) 更注重探索当前系统的脆弱性;(ii) 可能更具包容性,适合利益相关者参与;(iii) 非常适合确定稳健的政策选择,更好地考虑与多种似是而非的未来相关的深度不确定性。压力测试正在迅速发展,并产生了新的技术和概念,但很少有文章提供可作为该领域入门的通俗易懂的概述。在此,我们回顾了气候压力测试的基本原理和概念,为实际应用中涉及的主要决策提供指导。主题包括压力源的选择、暴露空间的特征描述和探索以及数据生成(包括随机数据的使用)。在一个复杂的世界里,水资源决策是在更广泛的社会生态系统背景下做出的,压力测试和其他自下而上的方法可以为决策提供支持,这些决策不仅能够应对未来的不确定性,而且还能被受影响的社区视为合理的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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