Drinking Water Engineering and Science
Drinking Water Engineering and Science
Drinking Water Engineering and Science
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/dwes-10-99-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/dwes-10-99-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 2
Research article
 | 
16 Oct 2017
Research article |  | 16 Oct 2017

Modeling particle transport and discoloration risk in drinking water distribution networks

Joost van Summeren and Mirjam Blokker

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Cited articles

Arolla, S. K. and Desjardins, O.: Transport modeling of sediment particles in a turbulent pipe flow using Euler-Lagrange large eddy simulation, Int. J. Multiphase Flow, 75, 1–11, 2015.
Blokker, E. J. M. and Schaap, P. G.: Sedimentverwijdering bij verschillende snelheden, Report BTO 2006.070, Kiwa Water Research, Nieuwegein, 2007.
Blokker, E. J. M. and Schaap, P. G.: Het modelleren van deeltjes in het leidingnet, Report BTO 2011.047, KWR Watercycle Research Institute, 2011.
Blokker, E. J. M. and Schaap, P. G.: Particle accumulation rate of drinking water distribution systems determined by incoming turbidity, Procedia Engineering 13th Computing and Control for the Water Industry Conference CCWI 2015, Leicester, UK, 2015a.
Blokker, E. J. M. and Schaap, P.: Temperature influences discolouration risk, Procedia Engineering 13th Computing and Control for the Water Industry Conference, CCWI 2015, Leicester, UK, 119, 280–289, 2015b.
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Short summary
The build-up and subsequent remobilization of microscopic particles can cause discoloration of drinking water during distribution. We theoretically investigated the relevant transport processes and dependencies on flow conditions and particle properties. The presented theoretical framework is intended as a starting point for a numerical tool to help water utilities determine regions of high discoloration risk and reduce these risks, e.g., by designing more efficient pipe cleaning programs.
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Special issue
Computing and Control for the Water Industry, CCWI 2016