Blokker, E.J.M., Furnass, W.R. orcid.org/0000-0001-5931-7430, Machell, J. orcid.org/0000-0001-5520-1473 et al. (3 more authors) (2016) Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments, 3 (2). 10. ISSN 2076-3298
Abstract
Understanding and managing water quality in drinking water distribution system is essential for public health and wellbeing, but is challenging due to the number and complexity of interacting physical, chemical and biological processes occurring within vast, deteriorating pipe networks. In this paper we explore the application of Self Organising Map techniques to derive such understanding from international data sets, demonstrating how multivariate, non-linear techniques can be used to identify relationships that are not discernible using univariate and/or linear analysis methods for drinking water quality. The paper reports on how various microbial parameters correlated with modelled water ages and were influenced by water temperatures in three drinking water distribution systems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article distributed under 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. |
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) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/D031311/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 May 2016 12:48 |
Last Modified: | 31 May 2016 12:56 |
Published Version: | http://dx.doi.org/10.3390/environments3020010 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/environments3020010 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100265 |
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