Literature DB >> 33627936

Review of Modeling Methodologies for Managing Water Distribution Security.

Emily Zechman Berglund1, Jorge E Pesantez1, Amin Rasekh2, M Ehsan Shafiee2, Lina Sela3, Terranna Haxton4.   

Abstract

Water distribution systems are vulnerable to hazards that threaten water delivery, water quality, and physical and cybernetic infrastructure. Water utilities and managers are responsible for assessing and preparing for these hazards, and researchers have developed a range of computational frameworks to explore and identify strategies for what-if scenarios. This manuscript conducts a review of the literature to report on the state of the art in modeling methodologies that have been developed to support the security of water distribution systems. First, the major activities outlined in the emergency management framework are reviewed; the activities include risk assessment, mitigation, emergency preparedness, response, and recovery. Simulation approaches and prototype software tools are reviewed that have been developed by government agencies and researchers for assessing and mitigating four threat modes, including contamination events, physical destruction, interconnected infrastructure cascading failures, and cybernetic attacks. Modeling tools are mapped to emergency management activities, and an analysis of the research is conducted to group studies based on methodologies that are used and developed to support emergency management activities. Recommendations are made for research needs that will contribute to the enhancement of the security of water distribution systems.

Entities:  

Year:  2020        PMID: 33627936      PMCID: PMC7898161          DOI: 10.1061/(ASCE)WR.1943-5452.0001265

Source DB:  PubMed          Journal:  J Water Resour Plan Manag        ISSN: 0733-9496            Impact factor:   3.054


  34 in total

1.  Vulnerability of water distribution systems to pathogen intrusion: how effective is a disinfectant residual?

Authors:  Marco Propato; James G Uber
Journal:  Environ Sci Technol       Date:  2004-07-01       Impact factor: 9.028

2.  In-pipe water quality monitoring in water supply systems under steady and unsteady state flow conditions: a quantitative assessment.

Authors:  Angeliki Aisopou; Ivan Stoianov; Nigel J D Graham
Journal:  Water Res       Date:  2011-11-06       Impact factor: 11.236

3.  Event detection in water distribution systems from multivariate water quality time series.

Authors:  Lina Perelman; Jonathan Arad; Mashor Housh; Avi Ostfeld
Journal:  Environ Sci Technol       Date:  2012-07-11       Impact factor: 9.028

4.  A method of detecting contamination events using multiple conventional water quality sensors.

Authors:  Shuming Liu; Han Che; Kate Smith; Chao Chen
Journal:  Environ Monit Assess       Date:  2014-12-03       Impact factor: 2.513

5.  Integrating physically based simulators with Event Detection Systems: Multi-site detection approach.

Authors:  Mashor Housh; Ziv Ohar
Journal:  Water Res       Date:  2016-12-08       Impact factor: 11.236

6.  A dynamic thresholds scheme for contaminant event detection in water distribution systems.

Authors:  Jonathan Arad; Mashor Housh; Lina Perelman; Avi Ostfeld
Journal:  Water Res       Date:  2013-01-23       Impact factor: 11.236

7.  Contamination event detection using multiple types of conventional water quality sensors in source water.

Authors:  Shuming Liu; Han Che; Kate Smith; Lei Chen
Journal:  Environ Sci Process Impacts       Date:  2014-08       Impact factor: 4.238

8.  Contamination source identification in water distribution networks using convolutional neural network.

Authors:  Lian Sun; Hexiang Yan; Kunlun Xin; Tao Tao
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-19       Impact factor: 4.223

9.  Integrated hydraulic and organophosphate pesticide injection simulations for enhancing event detection in water distribution systems.

Authors:  Rafi Schwartz; Ori Lahav; Avi Ostfeld
Journal:  Water Res       Date:  2014-06-28       Impact factor: 11.236

10.  Self-reported household impacts of large-scale chemical contamination of the public water supply, Charleston, West Virginia, USA.

Authors:  Charles P Schade; Nasandra Wright; Rahul Gupta; David A Latif; Ayan Jha; John Robinson
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

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  1 in total

1.  Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection.

Authors:  Luka Grbčić; Lado Kranjčević; Siniša Družeta
Journal:  Sensors (Basel)       Date:  2021-02-06       Impact factor: 3.576

  1 in total

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