Abstract
Urban water supply systems are typically large, complex, and expensive to build and maintain. Disruptions of service can have serious implications on the economy, health, and convenience of those served by the system. Consequently, improved system performance and customer service are important goals of water supply system managers. However, even in the most advanced systems, water supply must be disrupted to some customers due to emergency situations or planned maintenance. In this paper, we present an optimal algorithm to minimize the network impacted when such a disruption occurs. The algorithm can be readily incorporated into sophisticated decision support systems for water supply network planning and management.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
