Modeling Discoloration in Potable Water Distribution Systems

Boxall, Joby; Saul, Adrian J.

doi:10.1061/(asce)0733-9372(2005)131:5(716)

Cited by 103 publications

(83 citation statements)

References 10 publications

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“…To calculate the discoloration risk, DPM software which implements a cohesive transport model (CTM) [262,263] is used. So, the algorithms are linked with both EPANET and DPM.…”

mentioning

confidence: 99%

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

132

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Optimisation of water distribution system design is a well-established research field, which has been extremely productive since the end of the 1980s. Its primary focus is to minimise the cost of a proposed pipe network infrastructure. This paper reviews in a systematic manner articles published over the past three decades, which are relevant to the design of new water distribution systems, and the strengthening, expansion and rehabilitation of existing water distribution systems, inclusive of design timing, parameter uncertainty, water quality, and operational considerations. It identifies trends and limits in the field, and provides future research directions. Exclusively, this review paper also contains comprehensive information from over one hundred and twenty publications in a tabular form, including optimisation model formulations, solution methodologies used, and other important details.

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“…To calculate the discoloration risk, DPM software which implements a cohesive transport model (CTM) [262,263] is used. So, the algorithms are linked with both EPANET and DPM.…”

mentioning

confidence: 99%

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

132

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“…(5) An incontrovertible factor that affects the concentration of particles is the maximum daily velocity, which can be related to particles by applying "bottom-up" demand modeling, has been described earlier (Blokker et al, 2008). The same opinion is postulated in the cohesive transport modeling approach called PODDS (Boxall et al, 2001;Boxall and Saul, 2005;) which predicts that the particle deposits on pipe walls are conditioned by shear stress.…”

Section: Field Experimentsmentioning

confidence: 96%

“…It should be noted that particles from wash-out during first flushing turnover mobilized along the entire pipe length can be called locally settled sediments (LSS) . Boxall et al (2001), Boxall and Saul (2005) proposed the PODDS (prediction of discolouration in distribution systems) model by involving the term "cohesive transport model" where discoloration material is assumed to be homogenously distributed around the pipes circumference in cohesive layers of particulate matter. The layer strength is a function of the maximum daily shear stress.…”

Section: Introductionmentioning

confidence: 99%

Accumulation and modeling of particles in drinking water pipe fittings

Neilands

Bernats

Rubulis

2012

Drink. Water Eng. Sci.

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Abstract. The effect of pipe fittings (mainly T-pieces) on particle accumulation in drinking water distribution networks were shown in this work. The online measurements of flow and turbidity for cast iron, polyethylene and polyvinyl chloride pipe sections were linked with analysis of pipe geometry. Up to 0.29 kg of the total amount mobilized in T-pieces ranging from DN 100/100-DN 250/250. The accumulated amount of particles in fittings was defined as J and introduced into the existing turbidity model PODDS (prediction of discoloration in distribution systems) proposed by Boxall et al. (2001) which describes the erosion of particles leading to discoloration events in drinking water network viz sections of straight pipes. However, this work does not

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“…The methodology is formed from three principles: (a) a hydraulic force that mobilised the discolouration material resulting in the high turbidity observation occurring just prior to the high turbidity observation; (b) a stronger hydraulic force would result in more discolouration material being mobilised, provided that there is available material to mobilise [19,24,25]; (c) discolouration material is constantly being regenerated/built up in all pipes [18,26]. Based on these three principles, a turbidity observation is thought to be the result of a hydraulically-based mobilisation process if a hydraulic force in an upstream pipe preceding the turbidity observation exceeds the recent prior hydraulic forces experienced in that pipe.…”

Section: Methodsmentioning

confidence: 99%

“…Increases in the applied hydraulic force on the pipe walls have been shown to mobilise discolouration material in pipes [19,20], and it is now sufficiently well understood that the resulting turbidity response from the flushing can to various degrees be modelled and predicted [16,21,22].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Study of Discolouration Material Mobilisation in Trunk Mains

Meyers

Kapelan

Keedwell

2017

Water

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Abstract:It has been shown that sufficiently high velocities can cause the mobilisation of discolouration material in water distribution systems. However, how much typical hydraulic conditions affect the mobilisation of discolouration material has yet to be thoroughly investigated. In this paper, results are presented from real turbidity and flow observations collected from three U.K. trunk main networks over a period of two years and 11 months. A methodology is presented that determines whether discolouration material has been mobilised by hydraulic forces and the origin of that material. The methodology found that the majority of turbidity observations over 1 Nephelometric Turbidity Units (NTU) could be linked to a preceding hydraulic force that exceeded an upstream pipe's hydraulically preconditioned state. The findings presented in this paper show the potential in proactively managing the hydraulic profile to reduce discolouration risk and improve customer service.

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Modeling Discoloration in Potable Water Distribution Systems

Cited by 103 publications

References 10 publications

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Accumulation and modeling of particles in drinking water pipe fittings

Data-Driven Study of Discolouration Material Mobilisation in Trunk Mains

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