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Open AccessReview

Review of the Quantitative Resilience Methods in Water Distribution Networks

by Qing Shuang 1,*, Hui Jie Liu 1 and Erik Porse 2,3
1
Department of Construction Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
2
Office of Water Programs, California State University, Sacramento, 6000 J Street, Sacramento, CA 95819-6025, USA
3
Institute of the Environment and Sustainability, University of California, Los Angeles, 619 Charles E. Young Dr. East, La Kretz Hall, Suite 300, Los Angeles, CA 90095-1496, USA
*
Author to whom correspondence should be addressed.
Water 2019, 11(6), 1189; https://doi.org/10.3390/w11061189
Received: 15 April 2019 / Revised: 1 June 2019 / Accepted: 3 June 2019 / Published: 7 June 2019
(This article belongs to the Section Urban Water Management)
Water distribution networks (WDNs) are critical contributors to the social welfare, economic growth, and public health in cities. Under the uncertainties that are introduced owing to climate change, urban development, aging components, and interdependent infrastructure, the WDN performance must be evaluated using continuously innovative methods and data acquisition. Quantitative resilience assessments provide useful information for WDN operators and planners, enabling support systems that can withstand disasters, recover quickly from outages, and adapt to uncertain environments. This study reviews contemporary approaches for quantifying the resilience of WDNs. 1508 journal articles published from 1950 to 2018 are identified under systematic review guidelines. 137 references that focus on the quantitative resilience methods of WDN are classified as surrogate measures, simulation methods, network theory approaches, and fault detection and isolation approaches. This study identifies the resilience capability of the WDNs and describes the related terms of absorptive, restorative, and adaptive capabilities. It also discusses the metrics, research progresses, and limitations associated with each method. Finally, this study indicates the challenges associated with the quantification of WDNs that should be overcome for achieving improved resilience assessments in the future. View Full-Text
Keywords: water distribution networks; resilience; surrogate measures; simulation; network theory; fault detection and isolation water distribution networks; resilience; surrogate measures; simulation; network theory; fault detection and isolation
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Shuang, Q.; Liu, H.J.; Porse, E. Review of the Quantitative Resilience Methods in Water Distribution Networks. Water 2019, 11, 1189.

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