Asset deterioration and discolouration in water distribution systems

Husband, P.S.; Boxall, Joby

doi:10.1016/j.watres.2010.08.021

Cited by 133 publications

(102 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With the 'full risk' calibrated parameters, the peak predicted turbidity response is 1 NTU. If linear material regeneration is assumed (Husband et al 2008;Husband & Boxall 2011), with a 0.2 NTU response after six months, full regeneration would be anticipated in just over two years. This appears to be a short period of time, but can be considered possible due to the likely addition of material from corrosion of the cast iron trunk main.…”

Section: Operational Guidelinesmentioning

confidence: 99%

“…In particular, activities that result in increased flows are avoided, demonstrating the inherent understanding that discolouration is primarily hydraulically driven (Husband & Boxall 2011). When increased flow through a trunk main is necessary such as due to increased demand or source water changes, or unacceptable discolouration risk is otherwise identified, trunk mains have typically been taken out of service to undergo invasive cleaning.…”

Section: Introductionmentioning

confidence: 99%

“…Critically, with discolouration material now known to continuously and ubiquitously regenerate throughout networks, any cleaning is seen to be of finite benefit (Vreeburg et al 2008;Husband & Boxall 2011). This leads to questions about the longer-term costeffectiveness and sustainability of one off invasive cleaning strategies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictive water quality modelling and resilience flow conditioning to manage discolouration risk in operational trunk mains

Husband

Boxall

2014

Journal of Water Supply: Research and Technology-Aqua

View full text Add to dashboard Cite

This paper presents predictive discolouration modelling and subsequent field trial validation for a cast iron trunk main network. This enabled a UK water company to propose an 'operational flow conditioning' maintenance plan that reduces discolouration risk, improves network resilience and asset condition and yet does not require the trunk main to be decommissioned for invasive cleaning. This represents substantial time and cost benefits. Pre-and post-trial turbidity monitoring data are presented which identified a daily flux of material, a factor in the regeneration of material layers that have been shown to cause discolouration when mobilised.Additional data detecting the occurrence of pressure transients are also presented, a possible cause of contaminant ingress and asset failure. After six months a second flow trail was conducted and modelled, confirming the regeneration of particulate discolouration material across the range of mobilising forces applied during the trial. It also indicated full layer development, or maximum discolouration risk, may occur in just over two years for this cast iron main. This highlights the need for appropriate maintenance strategies, such as periodic flow conditioning identified here, to mitigate discolouration risk and help safeguard water quality.

show abstract

Section: Operational Guidelinesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predictive water quality modelling and resilience flow conditioning to manage discolouration risk in operational trunk mains

Husband

Boxall

2014

Journal of Water Supply: Research and Technology-Aqua

View full text Add to dashboard Cite

show abstract

“…WDS are subject to a variety of site-specific hydraulic, chemical and microbiological influences that make it difficult to isolate individual reactions and fully understand the mechanisms at work (Husband and Boxall 2011). This coupled with the various uncertainties surrounding complex, ageing, buried pipe infrastructure means that a deterministic modelling approach for estimating iron failures is rarely possible, even for the most advanced Water Service Providers (WSP).…”

Section: Introductionmentioning

confidence: 99%

Ensemble Decision Tree Models Using RUSBoost for Estimating Risk of Iron Failure in Drinking Water Distribution Systems

Mounce

Ellis

Edwards

et al. 2017

Water Resour Manage

View full text Add to dashboard Cite

Safe, trusted drinking water is fundamental to society. Discolouration is a key aesthetic indicator visible to customers. Investigations to understand discolouration and iron failures in water supply systems require assessment of large quantities of disparate, inconsistent, multidimensional data from multiple corporate systems. A comprehensive data matrix was assembled for a seven year period across the whole of a UK water company (serving three million people). From this a novel data driven tool for assessment of iron risk was developed based on a yearly update and ranking procedure, for a subset of the best quality data. To avoid a 'black box' output, and provide an element of explanatory (human readable) interpretation, classification decision trees were utilised. Due to the very limited number of iron failures, results from many weak learners were melded into one high-quality ensemble predictor using the RUSBoost algorithm which is designed for class imbalance. Results, exploring simplicity vs predictive power, indicate enough discrimination between variable relationships in the matrix to produce ensemble decision tree classification models with good accuracy for iron failure estimation at District Management Area (DMA) scale. Two model variants were explored: 'Nowcast' (situation at end of calendar year) and 'Futurecast' (predict end of next year situation from this year's data). The Nowcast 2014 model achieved 100% True Positive Rate (TPR) and 95.3% True Negative Rate (TNR), with 3.3% of DMAs classified High Risk for un-sampled instances. The Futurecast 2014 achieved 60.5% TPR and 75.9% TNR, with 25.7% of DMAs classified High Risk for un-sampled instances. The output can be used to focus preventive measures to improve iron compliance.

show abstract

“…Sometimes these mistakes lead to intense corrosion of the steel and iron pipes that has a great impact on water quality and lifetime of pipelines in water distribution systems [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Corrosion of galvanized pipes in the hot water supply system

Andrianov

Spitsov

2017

MATEC Web Conf.

View full text Add to dashboard Cite

Abstract. The paper describes the problem of steel pipes corrosion in domestic hot water supply systems. A case study of abnormally high rate of corrosion of galvanized steel pipes in a hot water supply system, installed in a complex of residential and public buildings, was considered. The rapid corrosion led to premature failure of these pipelines. Onsite visual inspection, chemical analysis of the tap water with LSI/RSI calculation and scanning electron microscopy and energy-dispersive X-ray spectroscopy analysis were used during this study. The basic factors that lead to pitting corrosion were established: quality of source water (its high corrosion activity), high temperature and local increase in oxygen content near the pipe surface. A possibility of microbial corrosion was also assumed.

show abstract

Asset deterioration and discolouration in water distribution systems

Cited by 133 publications

References 11 publications

Predictive water quality modelling and resilience flow conditioning to manage discolouration risk in operational trunk mains

Predictive water quality modelling and resilience flow conditioning to manage discolouration risk in operational trunk mains

Ensemble Decision Tree Models Using RUSBoost for Estimating Risk of Iron Failure in Drinking Water Distribution Systems

Corrosion of galvanized pipes in the hot water supply system

Contact Info

Product

Resources

About