Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps

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 pape...

Full description

Bibliographic Details
Main Authors:	E.J. Mirjam Blokker, William R. Furnass, John Machell, Stephen R. Mounce, Peter G. Schaap, Joby B. Boxall
Format:	Article
Language:	English
Published:	MDPI AG 2016-04-01
Series:	Environments
Subjects:	drinking water distribution water quality water age SOM
Online Access:	http://www.mdpi.com/2076-3298/3/2/10

id	doaj-30af62f149c14919ab800c6bd93f1fc9
record_format	Article
spelling	doaj-30af62f149c14919ab800c6bd93f1fc92020-11-24T21:12:37ZengMDPI AGEnvironments2076-32982016-04-01321010.3390/environments3020010environments3020010Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising MapsE.J. Mirjam Blokker0William R. Furnass1John Machell2Stephen R. Mounce3Peter G. Schaap4Joby B. Boxall5KWR Watercycle Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, The NetherlandsDepartment of Civil and Structural Engineering, University of Sheffield, Mappin street, Sheffield s1 3jd, South Yorkshire, UKDepartment of Civil and Structural Engineering, University of Sheffield, Mappin street, Sheffield s1 3jd, South Yorkshire, UKDepartment of Civil and Structural Engineering, University of Sheffield, Mappin street, Sheffield s1 3jd, South Yorkshire, UKPWN Water Supply Company North Holland, Postbus 2113, 1990 AC Velserbroek, The NetherlandsDepartment of Civil and Structural Engineering, University of Sheffield, Mappin street, Sheffield s1 3jd, South Yorkshire, UKUnderstanding 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.http://www.mdpi.com/2076-3298/3/2/10drinking water distributionwater qualitywater ageSOM
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	E.J. Mirjam Blokker William R. Furnass John Machell Stephen R. Mounce Peter G. Schaap Joby B. Boxall
spellingShingle	E.J. Mirjam Blokker William R. Furnass John Machell Stephen R. Mounce Peter G. Schaap Joby B. Boxall Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps Environments drinking water distribution water quality water age SOM
author_facet	E.J. Mirjam Blokker William R. Furnass John Machell Stephen R. Mounce Peter G. Schaap Joby B. Boxall
author_sort	E.J. Mirjam Blokker
title	Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
title_short	Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
title_full	Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
title_fullStr	Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
title_full_unstemmed	Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps
title_sort	relating water quality and age in drinking water distribution systems using self-organising maps
publisher	MDPI AG
series	Environments
issn	2076-3298
publishDate	2016-04-01
description	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.
topic	drinking water distribution water quality water age SOM
url	http://www.mdpi.com/2076-3298/3/2/10
work_keys_str_mv	AT ejmirjamblokker relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps AT williamrfurnass relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps AT johnmachell relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps AT stephenrmounce relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps AT petergschaap relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps AT jobybboxall relatingwaterqualityandageindrinkingwaterdistributionsystemsusingselforganisingmaps
_version_	1716750407812775936

Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps

Similar Items