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Title: Modelling lead in drinking water
Author: Van der Leer, D.
Awarding Body: University of Wales Swansea
Current Institution: Swansea University
Date of Award: 2004
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In light of substantial medical evidence of the detrimental effect of lead on the body, the use of lead in pipe networks, and the subsequent lead emissions into drinking water is now a major concern. As a result, the new European Union “drinking water” directive requires the standard for lead in drinking water to be tightened from 50mg/l to 25mg/l by December 2003 and to 10mg/l by December 2013. It is anticipated that these standards will be achieved by a combination of water treatment, which must be optimised, and selective lead pipe replacement where necessary. In order to optimise corrective treatment, accurate monitoring of lead emissions across a water supply zone must be achieved. The severe limitations of traditional monitoring methods have provided the motivation to develop a computational model to facilitate the optimisation of corrective treatment as well as to investigate lead emissions at individual houses. The development of a model to assess lead emissions in drinking water at a single house and across a water supply zone is described. The model has been used to investigate the daily variation of lead emissions at a single house and to determine the influence of factors, such as pipework geometry and water usage, on the daily average concentration of lead in drinking water. The ability to simulate traditional sampling methodologies on simulated water supply zones has enabled the model to be validated for a wide range of real water supply zones. This has allowed the model to be used successfully for the purpose of assessing zonal compliance and facilitating the optimisation of corrective treatment. Additionally, the model has enabled a detailed assessment of the use of the Random Day Time sampling method, for the optimisation of plumbosolvency control.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available