Literature DB >> 30505210

A SOFTWARE FRAMEWORK FOR ASSESSING THE RESILIENCE OF DRINKING WATER SYSTEMS TO DISASTERS WITH AN EXAMPLE EARTHQUAKE CASE STUDY.

Katherine A Klise1, Michael Bynum2, Dylan Moriarty1, Regan Murray3.   

Abstract

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 Python™ 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.

Entities:  

Keywords:  Water distribution system; earthquake; resilience; software

Year:  2017        PMID: 30505210      PMCID: PMC6262876          DOI: 10.1016/j.envsoft.2017.06.022

Source DB:  PubMed          Journal:  Environ Model Softw        ISSN: 1364-8152            Impact factor:   5.288


  1 in total

1.  Modeling the resilience of critical infrastructure: the role of network dependencies.

Authors:  Roberto Guidotti; Hana Chmielewski; Vipin Unnikrishnan; Paolo Gardoni; Therese McAllister; John van de Lindt
Journal:  Sustain Resilient Infrastruct       Date:  2016-12-22
  1 in total
  1 in total

1.  Review of Modeling Methodologies for Managing Water Distribution Security.

Authors:  Emily Zechman Berglund; Jorge E Pesantez; Amin Rasekh; M Ehsan Shafiee; Lina Sela; Terranna Haxton
Journal:  J Water Resour Plan Manag       Date:  2020-06-13       Impact factor: 3.054

  1 in total

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