Cook, D.M., Husband, P.S. and Boxall, J.B. (2015) Operational management of trunk main discolouration risk. Urban Water Journal. ISSN 1573-062X
Abstract
Despite significant on-going investment, water companies continue to receive an unacceptable number of discolouration related customer contacts. In this paper, data from intensive distribution system turbidity monitoring and cluster analysis of discolouration customer contacts indicate that a significant proportion of these contacts are due to material mobilising from the trunk main system, and operational flow increases are shown to have a higher discolouration risk than burst incidents. A trunk main discolouration incident highlighting this risk is discussed, demonstrating the need for pro-active trunk main risk assessments. To identify the source of the material event flow rates were modelled using the PODDS (prediction of discolouration in distribution systems) discolouration model. Best practice pro-active management is demonstrated in a case study where the PODDS model is used to implement managed incremental flow changes on a main with known discolouration risk with no discolouration impact to customers and significant cost savings.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Taylor & Francis. This is an author produced version of a paper subsequently published in Urban Water Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | discolouration; PODDS; trunk mains; turbidity; distribution operation and maintenance strategies (DOMS) |
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: | 20 Mar 2015 11:00 |
Last Modified: | 09 Mar 2016 02:33 |
Published Version: | http://10.0.4.56/1573062X.2014.993994 |
Status: | Published |
Publisher: | Taylor & Francis Online |
Refereed: | Yes |
Identification Number: | 10.1080/1573062X.2014.993994 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84362 |