Augmenting water quality resilience in water distribution systems: A stress-driven model for ice slurry pigging optimisation strategy.
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| Názov: | Augmenting water quality resilience in water distribution systems: A stress-driven model for ice slurry pigging optimisation strategy. |
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| Autori: | Hu J; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Ghent 9000, Belgium., Fernandes Del Pozo D; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Ghent 9000, Belgium; Centre for Advanced Process Technology for Urban Resource Recovery (CAPTURE), Frieda Saeysstraat 1, Ghent 9000, Belgium., Daneshgar S; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Ghent 9000, Belgium; Centre for Advanced Process Technology for Urban Resource Recovery (CAPTURE), Frieda Saeysstraat 1, Ghent 9000, Belgium; VITO, Flemish Institute for Technological Research, Boeretang 200, Mol 2400, Belgium., Nopens I; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Ghent 9000, Belgium; Centre for Advanced Process Technology for Urban Resource Recovery (CAPTURE), Frieda Saeysstraat 1, Ghent 9000, Belgium., Wang J; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China. Electronic address: 18614@tongji.edu.cn., Yan H; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China., Xin K; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China., Tao T; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China. Electronic address: taotao@tongji.edu.cn. |
| Zdroj: | Water research [Water Res] 2025 Dec 01; Vol. 287 (Pt B), pp. 124522. Date of Electronic Publication: 2025 Aug 31. |
| Spôsob vydávania: | Journal Article |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Oxford, Pergamon Press. |
| Výrazy zo slovníka MeSH: | Water Quality* , Models, Theoretical* , Ice* , Water Supply* |
| Abstrakt: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Pipeline cleaning is essential for maintaining water quality and safeguarding public health within water distribution networks. Although ice slurry pigging is widely adopted due to its effectiveness and environmental advantages, challenges remain in accurately quantifying cleaning efficacy and optimising maintenance intervals. This study develops a stress-driven wall material removal model calibrated using field-measured turbidity data, allowing for a comprehensive assessment of cleaning effectiveness based on post-cleaning shear resistance. The shear stress distribution induced by ice slurry along the pipeline is characterised using Computational Fluid Dynamics simulations combined with field-measured conductivity data. Validation through two real-world case studies confirms the model's capability to characterise wall material conditions, objectively evaluate cleaning performance, and determine optimal cleaning intervals. Results indicate that an optimal cleaning interval of approximately 24 months is achievable when integrating a post-cleaning shear resistance of 5.2 Pa with operational cost considerations. Proposed optimisation strategies, including increasing ice slurry volume fraction and cleaning velocity, significantly enhance the effectiveness of the cleaning process, extending the maintenance interval by up to 12 months compared to conventional practices. Overall, the findings establish a robust quantitative framework for systematic pipeline maintenance, contributing critical technical insights for augmenting water quality resilience in municipal water networks. (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
| Contributed Indexing: | Keywords: Cleaning interval; Computational fluid dynamics; Ice slurry pigging; Mathematical modelling; Pipe cleaning effectiveness; Water distribution networks |
| Substance Nomenclature: | 0 (Ice) |
| Entry Date(s): | Date Created: 20250908 Date Completed: 20251021 Latest Revision: 20251021 |
| Update Code: | 20251021 |
| DOI: | 10.1016/j.watres.2025.124522 |
| PMID: | 40916331 |
| Databáza: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br />Pipeline cleaning is essential for maintaining water quality and safeguarding public health within water distribution networks. Although ice slurry pigging is widely adopted due to its effectiveness and environmental advantages, challenges remain in accurately quantifying cleaning efficacy and optimising maintenance intervals. This study develops a stress-driven wall material removal model calibrated using field-measured turbidity data, allowing for a comprehensive assessment of cleaning effectiveness based on post-cleaning shear resistance. The shear stress distribution induced by ice slurry along the pipeline is characterised using Computational Fluid Dynamics simulations combined with field-measured conductivity data. Validation through two real-world case studies confirms the model's capability to characterise wall material conditions, objectively evaluate cleaning performance, and determine optimal cleaning intervals. Results indicate that an optimal cleaning interval of approximately 24 months is achievable when integrating a post-cleaning shear resistance of 5.2 Pa with operational cost considerations. Proposed optimisation strategies, including increasing ice slurry volume fraction and cleaning velocity, significantly enhance the effectiveness of the cleaning process, extending the maintenance interval by up to 12 months compared to conventional practices. Overall, the findings establish a robust quantitative framework for systematic pipeline maintenance, contributing critical technical insights for augmenting water quality resilience in municipal water networks.<br /> (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
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| ISSN: | 1879-2448 |
| DOI: | 10.1016/j.watres.2025.124522 |