Review of model-based and data-driven approaches for leak detection and location in water distribution systems

Water Science & Technology Water Supply, Journal Year: 2021, Volume and Issue: 21(7), P. 3282 - 3306

Published: April 5, 2021

Abstract Leak detection and location in water distribution systems (WDSs) is of utmost importance for reducing loss, which is, however, a major challenge utility companies. To this end, researchers have proposed multitude methods to detect such leaks WDSs. Model-based data-driven approaches, particular, found widespread uses area. In paper, we reviewed both these approaches classified the techniques used by them according their leak methods. It seen that model-based require highly calibrated hydraulic models, accuracies are sensitive modeling measurement uncertainties. On contrary, do not an in-depth understanding WDS. However, they tend result high false positive rates. Furthermore, neither can handle anomalous variations caused unexpected demands.

Language: Английский

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Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141877 - 141877

Published: March 28, 2024

Language: Английский

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Using Complex Network Analysis for Optimization of Water Distribution Networks

Water Resources Research, Journal Year: 2020, Volume and Issue: 56(8)

Published: July 23, 2020

Abstract The optimization of water networks supports the decision‐making process by identifying optimal trade‐off between costs and performance (e.g., resilience leakage). A major challenge in domain distribution systems (WDSs) is network (re)design. While complex nature WDS has already been explored with analysis (CNA), literature still lacking a CNA networks. Based on systematic Pareto‐optimal solutions different WDSs, several graph characteristics are identified, newly developed design approach for WDSs proposed. results show that obtained designs comparable found evolutionary optimization, but applicable large 150,000 pipes) substantially reduced computational effort (runtime reduction up to 5 orders magnitude).

Language: Английский

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Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 77, P. 103520 - 103520

Published: Nov. 6, 2021

Language: Английский

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Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic

Journal of Water Resources Planning and Management, Journal Year: 2021, Volume and Issue: 147(5)

Published: March 9, 2021

Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership journal. The views expressed this article do not necessarily reflect ASCE Editorial Board

Language: Английский

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The economic impact of water supply disruption from the Selangor River, Malaysia

Blue-Green Systems, Journal Year: 2023, Volume and Issue: 5(2), P. 102 - 120

Published: Aug. 21, 2023

Abstract The insidious economic impact of water disruption has received less attention compared to palpable climate disasters, but change and security concerns call for investigation on cost consequences property values business losses in an already fragile supply-demand balance many developing countries. frequent supply disruptions from the Selangor River Malaysia due technical issues, pollution, climate-related problems was estimated using stock flow measure assess at risk, survey estimate loss. findings revealed that commercial, residential, industrial valued RM459,041 million 2020 State parts Kuala Lumpur were risk disruptions. A small medium enterprises manufacturing, construction, services sectors 46% respondents affected with amounting RM2,053 million. total 2020, combining both value loss, amounted RM461,094 million, which accounted 34% Malaysia's GDP. number recommendations are made prevent widespread occurrence

Language: Английский

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Review of Urban Drinking Water Contamination Source Identification Methods

Energies, Journal Year: 2023, Volume and Issue: 16(2), P. 705 - 705

Published: Jan. 7, 2023

When drinking water flows into the distribution network from a reservoir, it is exposed to risk of accidental or deliberate contamination. Serious pollution events can endanger public health, bring about economic losses, and be detrimental social stability. Therefore, obviously crucial research contamination source identification problem, for which scholars have made considerable efforts achieved many advances. This paper provides comprehensive review this problem. Firstly, some basic theoretical knowledge problem introduced, including network, sensor system, simulation model. Then, puts forward new classification method classify methods three categories according algorithms used: solutions with traditional methods, heuristic machine learning methods. focuses on approaches proposed in past 5 years summarizes their main work technical challenges. Lastly, suggests future development directions

Language: Английский

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Contamination event diagnosis in drinking water networks: A review

Annual Reviews in Control, Journal Year: 2023, Volume and Issue: 55, P. 420 - 441

Published: Jan. 1, 2023

Language: Английский

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Digital Twins for Water Distribution Systems

Journal of Water Resources Planning and Management, Journal Year: 2023, Volume and Issue: 149(3)

Published: Jan. 2, 2023

Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership journal. The views expressed this article do not necessarily reflect ASCE Editorial Board

Language: Английский

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InfraRisk: An open-source simulation platform for resilience analysis in interconnected power–water–transport networks

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 83, P. 103963 - 103963

Published: June 3, 2022

Integrated simulation models are emerging as an alternative for analyzing large-scale interdependent infrastructure networks due to their modeling advantages over traditional interdependency models. This paper presents open-source integrated package the component-level analysis of power-, water-, transport networks. The platform, named 'InfraRisk' and developed in Python, can simulate network-wide effects disaster-induced failures subsequent post-disaster restoration. InfraRisk consists module, a hazard recovery resilience quantification module. module integrates existing network packages (wntr water distribution systems, pandapower power static traffic assignment model road systems) through interface that facilitates network-level failures. generates component based on various disaster characteristics. determines repair sequences assigns crews predefined heuristics-based strategies or predictive control (MPC) optimization. Based schedule, simulates consequences impacts actions performance network. offers system-level consumer-level metrics quantify both risks against events. provides virtual platform decision-makers experiment develop region-specific pre-disaster policies enhance overall urban

Language: Английский

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