Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573983
Title: Elements of an integrated approach for studying leakage and bursts in water distribution pipelines
Author: Poulton, Matthew
ISNI:       0000 0004 2737 3616
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2001
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Abstract:
The reduction of water loss in distribution pipelines remains an important target to water companies in the UK, as they seek to improve their efficiency further. A need to obtain a better understanding of bursts and leakage was identified and, in particular, the potential for developing tools and strategies allowing water companies to maintain their distribution networks in a more effective manner. The basis for such research lies in obtaining reliable data for a water distribution system and its environment. This PhD project aims to provide a detailed study of how and why pipes fail, and when and where this is likely to occur. This has been achieved by collecting and analysing pipe attribute and performance data and failure information, as well as laboratory examination of pipes, including scanning electron microscopy for observing pipe surfaces. The choice of which data to record and how to interpret them is crucial and recommendations are given throughout the work. Emphasis is given to the use of geographical information systems (GIS), which are becoming central to water distribution system management. The grouping of pipes with similar attributes, enables a convenient level of analysis to be achieved, thus eliminating some of the problems associated with basing calculations on an individual pipe or network level. In order to identify potential categories for rehabilitation or the need for changes in system operation, new methods for temporal and spatial analysis are proposed. These enable both enhanced display of information and quantitative comparisons. Two separate methods for analysing spatial clusters of bursts are used to account for perceived differences in cluster formation. The integration of appropriate models and tools - new and old - is discussed in detail, within a GIS context. Illustration is given as to how results from statistical, hydraulic, physical and analytical models, can be used to formulate both short and long-term rehabilitation strategies.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.573983  DOI: Not available
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