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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Exploring the influence of temperature on the frequency of burst pipes in the Scottish water network

Blair, Graeme and Murray, Robert and Revie, Matthew and Walls, Lesley (2011) Exploring the influence of temperature on the frequency of burst pipes in the Scottish water network. In: Annual Reliability and Maintainability Symposium 2011, 2011-05-03 - 2011-05-05.

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Abstract

Scottish Water (SW) is a Government owned company providing a vital service to Scottish Society. That is, the abstraction, treatment and consistent supply of clean safe drinking water to every home and business across Scotland as well as the collection, treatment and disposal of resulting wastewater in a manner that protects the environment. Water pipe bursts are a major concern for SW, because of their impact on operational activities, the customer and the environment. A study has been undertaken to examine the relationship between the temperature and pipe bursts in Scotland over the period 1 April 2004- 31 March 2010. Interviews have been conducted with SW engineers to explore the likely weather factors that may influence pipe bursts and the reasoning linking them. Exploratory analysis has been conducted to examine the relationship between temperature and number of bursts for different time lags in order to gain insights into the possible relationships. The results of the study are being used to inform future pipe burst predictive models for long-term strategic decision-making.