Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
AbstractUnderstanding 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Blokker, E.M.; Furnass, W.R.; Machell, J.; Mounce, S.R.; Schaap, P.G.; Boxall, J.B. Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments 2016, 3, 10.
Blokker EM, Furnass WR, Machell J, Mounce SR, Schaap PG, Boxall JB. Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments. 2016; 3(2):10.Chicago/Turabian Style
Blokker, E.J. M.; Furnass, William R.; Machell, John; Mounce, Stephen R.; Schaap, Peter G.; Boxall, Joby B. 2016. "Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps." Environments 3, no. 2: 10.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.