Doronina, A., Husband, P., Boxall, J. et al. (1 more author) (2020) The operational value of inlet monitoring at service reservoirs. Urban Water Journal, 17 (8). pp. 735-744. ISSN 1573-062X
Abstract
Drinking water quality leaving water treatment works is known to deteriorate as it makes its way through distribution networks. As deterioration rates are related to the condition of the network and how it is operated, it is important to determine the location and magnitude so that causes can be determined and effective maintenance implemented. Water quality is typically monitored at outlets of service reservoirs to help track changing water quality. However, these results do not confirm whether the issue is linked to the network between treatment and the service reservoir, the service reservoir itself, or both. The work in this paper investigates the value of using inlet monitoring at service reservoirs to overcome this limitation. Results show that monitoring at both the inlet and outlet of service reservoirs provides valuable information on asset performance and highlights the location and extent of deterioration helping inform cost-efficient resource provision.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 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 work is properly cited. |
Keywords: | drinking water quality; service reservoirs; monitoring; maintenance; water distribution |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Jun 2020 13:47 |
Last Modified: | 19 Jan 2022 13:28 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/1573062X.2020.1787471 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162340 |
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