Literature DB >> 18775550

Laboratory studies investigating the processes leading to discolouration in water distribution networks.

P S Husband1, J B Boxall, A J Saul.   

Abstract

Results are reported from laboratory experiments conducted to investigate the processes of discolouration within a water distribution system and specifically the concepts underpinning an empirical model proposed by Boxall et al. [Boxall, J.B., Saul, A.J., Skipworth, P.J., 2001. A novel approach to modelling sediment movement in distribution mains based on particle characteristics. Water Software Systems 1, 263-273.] and field validated by Boxall and Saul [Boxall, J.B., Saul, A.J., 2005. Modelling discolouration in potable water distribution systems. Journal of Environmental Engineering ASCE 131(5).]. The model is based on the hypothesis that discolouration is caused by the erosion and transport of fine particles, typically dominated by iron and manganese in the UK, that are attached to the pipe walls of the system by forces in addition to self-weight. These particles display cohesive-like properties and build up in layers on the pipe wall, conditioned by the usual daily flow patterns within the system. Discolouration events are caused by erosion of these layers due to changes in the system hydraulics and specifically changes in shear stress at the pipe wall, for example due to change in demand, a burst or the opening of a fire hydrant. Once cleaned from the pipe walls the layers re-accumulate under the usual conditions within the system. Experiments to determine cohesive layer behaviour and strength characteristics involved development periods followed by the measurement of the resultant discolouration when accumulated material was eroded by an increase in pipe-wall shear stress. The results support the empirical model concepts and hence its application. The results also suggest that the generation of material layers is influenced by the range of daily flow patterns, with greater variability reducing material accumulation, but not by the magnitude of steady state hydraulic conditions.

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Year:  2008        PMID: 18775550     DOI: 10.1016/j.watres.2008.07.026

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  6 in total

1.  Characterisation of the physical composition and microbial community structure of biofilms within a model full-scale drinking water distribution system.

Authors:  Katherine E Fish; Richard Collins; Nicola H Green; Rebecca L Sharpe; Isabel Douterelo; A Mark Osborn; Joby B Boxall
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

2.  Survival, Biofilm Formation, and Growth Potential of Environmental and Enteric Escherichia coli Strains in Drinking Water Microcosms.

Authors:  Cathy L Abberton; Ludmila Bereschenko; Paul W J J van der Wielen; Cindy J Smith
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

3.  Bacterial community dynamics during the early stages of biofilm formation in a chlorinated experimental drinking water distribution system: implications for drinking water discolouration.

Authors:  I Douterelo; R Sharpe; J Boxall
Journal:  J Appl Microbiol       Date:  2014-04-29       Impact factor: 3.772

4.  The interplay of suspended sediment concentration, particle size and fluid velocity on the rapid deposition of suspended iron oxide particles in PVC drinking water pipes.

Authors:  Artur Sass Braga; Yves Filion
Journal:  Water Res X       Date:  2022-04-15

5.  Microbial analysis of in situ biofilm formation in drinking water distribution systems: implications for monitoring and control of drinking water quality.

Authors:  Isabel Douterelo; M Jackson; C Solomon; J Boxall
Journal:  Appl Microbiol Biotechnol       Date:  2015-12-05       Impact factor: 4.813

6.  Unchartered waters: the unintended impacts of residual chlorine on water quality and biofilms.

Authors:  Katherine E Fish; Nik Reeves-McLaren; Stewart Husband; Joby Boxall
Journal:  NPJ Biofilms Microbiomes       Date:  2020-09-25       Impact factor: 8.462

  6 in total

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