A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study

Klise, Katherine A.; Bynum, Michael; Moriarty, Dylan; Murray, Regan

doi:10.1016/j.envsoft.2017.06.022

Title: A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study

Journal Article · Fri Jul 07 00:00:00 EDT 2017 · Environmental Modelling and Software

DOI:https://doi.org/10.1016/j.envsoft.2017.06.022· OSTI ID:1399510

Klise, Katherine A. ^[1];

^[2]; Moriarty, Dylan ^[1]; Murray, Regan ^[3]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Purdue Univ., West Lafayette, IN (United States)
US Environmental Protection Agency (EPA), Cincinnati, OH (United States). National Homeland Security Research Center

Water utilities are vulnerable to a wide variety of human-caused and natural disasters. The Water Network Tool for Resilience (WNTR) is a new open source PythonTM package designed to help water utilities investigate resilience of water distribution systems to hazards and evaluate resilience-enhancing actions. In this paper, the WNTR modeling framework is presented and a case study is described that uses WNTR to simulate the effects of an earthquake on a water distribution system. The case study illustrates that the severity of damage is not only a function of system integrity and earthquake magnitude, but also of the available resources and repair strategies used to return the system to normal operating conditions. While earthquakes are particularly concerning since buried water distribution pipelines are highly susceptible to damage, the software framework can be applied to other types of hazards, including power outages and contamination incidents.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 1399510

Alternate ID(s):: OSTI ID: 1550445

Report Number(s):: SAND-2017-6950J; 654955

Journal Information:: Environmental Modelling and Software, Vol. 95, Issue C; ISSN 1364-8152

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 92 works

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A Framework of Identifying Critical Water Distribution Pipelines from Recovery Resilience He, Xiang; Yuan, Yongbo Water Resources Management, Vol. 33, Issue 11 https://doi.org/10.1007/s11269-019-02328-2	journal	August 2019
Review of the Quantitative Resilience Methods in Water Distribution Networks Shuang, Qing; Liu, Hui Jie; Porse, Erik Water, Vol. 11, Issue 6 https://doi.org/10.3390/w11061189	journal	June 2019
A Decision-Support Algorithm for Post-Earthquake Water Services Recovery and Its Application to the 22 February 2011 M w 6.2 Christchurch Earthquake Bellagamba, Xavier; Bradley, Brendon A.; Wotherspoon, Liam M. Earthquake Spectra, Vol. 35, Issue 3 https://doi.org/10.1193/052218eqs119m	journal	August 2019
A Python-Driven Application for Evaluating Lifecycle Resilience of Water Distribution Network Zhou, Xiangnan; Liu, Fang; Ye, Yuanxin Information Technology in Geo-Engineering: Proceedings of the 3rd International Conference (ICITG), Guimarães, Portugal, p. 777-788 https://doi.org/10.1007/978-3-030-32029-4_66	book	September 2019
An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence Abdel‐Mottaleb, N.; Ghasemi Saghand, P.; Charkhgard, H. Water Resources Research, Vol. 55, Issue 7 https://doi.org/10.1029/2018wr024063	journal	July 2019
Comparative Study of Hydraulic Simulation Techniques for Water Supply Networks under Earthquake Hazard Yoo, Do; Lee, Joo; Lee, Bo Water, Vol. 11, Issue 2 https://doi.org/10.3390/w11020333	journal	February 2019
Post-Earthquake Restoration Simulation Model for Water Supply Networks Choi, Jeongwook; Yoo, Do; Kang, Doosun Sustainability, Vol. 10, Issue 10 https://doi.org/10.3390/su10103618	journal	October 2018
Urban Hydroinformatics: Past, Present and Future Water, Vol. 11, Issue 10 https://doi.org/10.3390/w11101959	journal	September 2019

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