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Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems

Intermittent water supplies (IWS) deliver piped water to one billion people; this water is often microbially contaminated. Contaminants that accumulate while IWS are depressurized are flushed into customers’ homes when these systems become pressurized. In addition, during the steady-state phase of I...

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Detalles Bibliográficos
Autores principales: Taylor, David D. J., Slocum, Alexander H., Whittle, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959068/
https://www.ncbi.nlm.nih.gov/pubmed/29775462
http://dx.doi.org/10.1371/journal.pone.0196887
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author Taylor, David D. J.
Slocum, Alexander H.
Whittle, Andrew J.
author_facet Taylor, David D. J.
Slocum, Alexander H.
Whittle, Andrew J.
author_sort Taylor, David D. J.
collection PubMed
description Intermittent water supplies (IWS) deliver piped water to one billion people; this water is often microbially contaminated. Contaminants that accumulate while IWS are depressurized are flushed into customers’ homes when these systems become pressurized. In addition, during the steady-state phase of IWS, contaminants from higher-pressure sources (e.g., sewers) may continue to intrude where pipe pressure is low. To guide the operation and improvement of IWS, this paper proposes an analytic model relating supply pressure, supply duration, leakage, and the volume of intruded, potentially-contaminated, fluids present during flushing and steady-state. The proposed model suggests that increasing the supply duration may improve water quality during the flushing phase, but decrease the subsequent steady-state water quality. As such, regulators and academics should take more care in reporting if water quality samples are taken during flushing or steady-state operational conditions. Pipe leakage increases with increased supply pressure and/or duration. We propose using an equivalent orifice area (EOA) to quantify pipe quality. This provides a more stable metric for regulators and utilities tracking pipe repairs. Finally, we show that the volume of intruded fluid decreases in proportion to reductions in EOA. The proposed relationships are applied to self-reported performance indicators for IWS serving 108 million people described in the IBNET database and in the Benchmarking and Data Book of Water Utilities in India. This application shows that current high-pressure, continuous water supply targets will require extensive EOA reductions. For example, in order to achieve national targets, utilities in India will need to reduce their EOA by a median of at least 90%.
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spelling pubmed-59590682018-05-31 Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems Taylor, David D. J. Slocum, Alexander H. Whittle, Andrew J. PLoS One Research Article Intermittent water supplies (IWS) deliver piped water to one billion people; this water is often microbially contaminated. Contaminants that accumulate while IWS are depressurized are flushed into customers’ homes when these systems become pressurized. In addition, during the steady-state phase of IWS, contaminants from higher-pressure sources (e.g., sewers) may continue to intrude where pipe pressure is low. To guide the operation and improvement of IWS, this paper proposes an analytic model relating supply pressure, supply duration, leakage, and the volume of intruded, potentially-contaminated, fluids present during flushing and steady-state. The proposed model suggests that increasing the supply duration may improve water quality during the flushing phase, but decrease the subsequent steady-state water quality. As such, regulators and academics should take more care in reporting if water quality samples are taken during flushing or steady-state operational conditions. Pipe leakage increases with increased supply pressure and/or duration. We propose using an equivalent orifice area (EOA) to quantify pipe quality. This provides a more stable metric for regulators and utilities tracking pipe repairs. Finally, we show that the volume of intruded fluid decreases in proportion to reductions in EOA. The proposed relationships are applied to self-reported performance indicators for IWS serving 108 million people described in the IBNET database and in the Benchmarking and Data Book of Water Utilities in India. This application shows that current high-pressure, continuous water supply targets will require extensive EOA reductions. For example, in order to achieve national targets, utilities in India will need to reduce their EOA by a median of at least 90%. Public Library of Science 2018-05-18 /pmc/articles/PMC5959068/ /pubmed/29775462 http://dx.doi.org/10.1371/journal.pone.0196887 Text en © 2018 Taylor et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Taylor, David D. J.
Slocum, Alexander H.
Whittle, Andrew J.
Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title_full Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title_fullStr Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title_full_unstemmed Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title_short Analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
title_sort analytical scaling relations to evaluate leakage and intrusion in intermittent water supply systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959068/
https://www.ncbi.nlm.nih.gov/pubmed/29775462
http://dx.doi.org/10.1371/journal.pone.0196887
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