Multi-objective optimization of hydrant flushing in a water distribution system using a fast hybrid technique. (15th May 2023)
- Record Type:
- Journal Article
- Title:
- Multi-objective optimization of hydrant flushing in a water distribution system using a fast hybrid technique. (15th May 2023)
- Main Title:
- Multi-objective optimization of hydrant flushing in a water distribution system using a fast hybrid technique
- Authors:
- Shoorangiz, Mostafa
Nikoo, Mohammad Reza
Šimůnek, Jirka
Gandomi, Amir H.
Adamowski, Jan Franklin
Al-Wardy, Malik - Abstract:
- Abstract: As a critical element in preserving the health of urban populations, water distribution systems (WDSs) must be ready to implement emergency plans when catastrophic events such as contamination events occur. A risk-based simulation-optimization framework (EPANET–NSGA-III) combined with a decision support model (GMCR) is proposed in this study to determine optimal locations for contaminant flushing hydrants under an array of potentially hazardous scenarios. Risk-based analysis using Conditional Value-at-Risk (CVaR)-based objectives can address uncertainties regarding the mode of WDS contamination, thereby providing a robust plan to minimize the associated risks at a 95% confidence level. Conflict modeling by GMCR achieved an optimal compromise solution within the Pareto front by identifying a final stable consensus among the decision-makers involved. A novel hybrid contamination event grouping-parallel water quality simulation technique was incorporated into the integrated model to reduce model runtime, the main deterrent in optimization-based methods. The nearly 80% reduction in model runtime made the proposed model a viable solution for online simulation-optimization problems. The framework's capacity to address real-world problems was evaluated for the WDS operating in Lamerd, a city in Fars Province, Iran. Results showed that the proposed framework was capable of highlighting a single flushing strategy, which not only optimally reduced risks associated withAbstract: As a critical element in preserving the health of urban populations, water distribution systems (WDSs) must be ready to implement emergency plans when catastrophic events such as contamination events occur. A risk-based simulation-optimization framework (EPANET–NSGA-III) combined with a decision support model (GMCR) is proposed in this study to determine optimal locations for contaminant flushing hydrants under an array of potentially hazardous scenarios. Risk-based analysis using Conditional Value-at-Risk (CVaR)-based objectives can address uncertainties regarding the mode of WDS contamination, thereby providing a robust plan to minimize the associated risks at a 95% confidence level. Conflict modeling by GMCR achieved an optimal compromise solution within the Pareto front by identifying a final stable consensus among the decision-makers involved. A novel hybrid contamination event grouping-parallel water quality simulation technique was incorporated into the integrated model to reduce model runtime, the main deterrent in optimization-based methods. The nearly 80% reduction in model runtime made the proposed model a viable solution for online simulation-optimization problems. The framework's capacity to address real-world problems was evaluated for the WDS operating in Lamerd, a city in Fars Province, Iran. Results showed that the proposed framework was capable of highlighting a single flushing strategy, which not only optimally reduced risks associated with contamination events, but provided acceptable coverage against such threats, flushing 35–61.3% of input contamination mass on average, and reducing average time-to-return to normal conditions by 14.4–60.2%, while employing less than half of the initial potential hydrants. Graphical abstract: Image 1 Highlights: Hydrant flushing is a practical way to deal with incidents of contamination. Critical injection nodes, times, and durations are considered injection parameters. Risk-based analysis using CVaR can address uncertainties about the contamination mode. Hybrid event grouping-parallel water quality simulation reduces runtime dramatically. GMCR with a comprehensive viewpoint shows promise in decision-making. … (more)
- Is Part Of:
- Journal of environmental management. Volume 334(2023)
- Journal:
- Journal of environmental management
- Issue:
- Volume 334(2023)
- Issue Display:
- Volume 334, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 334
- Issue:
- 2023
- Issue Sort Value:
- 2023-0334-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-05-15
- Subjects:
- Hydrant flushing -- Risk-based analysis -- Runtime reduction -- Contamination event grouping -- Parallel water quality simulation
Environmental policy -- Periodicals
Environmental management -- Periodicals
Environment -- Periodicals
Ecology -- Periodicals
363.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014797 ↗
http://www.elsevier.com/journals ↗
http://www.idealibrary.com ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.jenvman.2023.117463 ↗
- Languages:
- English
- ISSNs:
- 0301-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.383000
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British Library HMNTS - ELD Digital store - Ingest File:
- 26080.xml