Automated Detection and Location of Leaks in Water Mains Using Infrared Photography
Publication: Journal of Performance of Constructed Facilities
Volume 24, Issue 3
Abstract
Leakage of water distribution networks is the most common reason of undesirable losses of potable water. Problems associated with water main leaks pose growing concern around the globe. These problems include water and energy loss, in addition to the risk it poses to structural damage of adjacent properties. In current practice, not all water leaks can be detected in a timely and cost effective manner. This paper presents a study conducted for detection of water leaks in underground pipelines, and identification of their respective locations using thermography infrared camera. The paper describes the field work and the experimental protocol which were carried out over 2 years in three different locations in greater Montréal (Canada) area in order to investigate factors that affect the applicability and limitations of using IR camera in water leak detection. These factors beyond those studied in previous work carried out by American Water Works Association and National Research Council. The paper presents a model developed to determine approximate location of leaks in water mains. The developed model was then applied successfully to detect and locate leaks in water mains in fall and spring seasons. It failed, however, to detect leaks in the summer and winter due to high pavement temperature and the snow coverage, respectively.
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Acknowledgments
The writers acknowledge the financial support provided by the Natural Sciences and Engineering Research Council of Canada and the internal research grant provided by the Faculty of Engineering and Computer Science, Concordia University.NSERC
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 24 • Issue 3 • June 2010
Pages: 242 - 248
Copyright
© 2010 ASCE.
History
Received: Jan 29, 2009
Accepted: Oct 2, 2009
Published online: Oct 5, 2009
Published in print: Jun 2010
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