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Multi-criteria assessment of optimal upgrading options for water networks

Tanyimboh, T. and Kalungi, P. (2007) Multi-criteria assessment of optimal upgrading options for water networks. In: Water Management Challenges in Global Change: Proceedings of the 9th Computing and Control for the Water Industry (Ccwi2007) and the Sustainable Urban Water Management (Suwm) Conferences. Taylor and Francis, pp. 3-11. ISBN 9780415454155

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Abstract

The application of the analytic hierarchy process (AHP) to help select the best option for the long-term design and upgrading of a water distribution network is described and applied to a sample network. The main criteria used are: reliability-based network performance; present value of construction, upgrading, failure and repair costs; and social and environmental issues. The AHP is a versatile and robust tool which can handle both qualitative and quantitative data, based on a simple method of pair-wise comparisons. It has been applied elsewhere on various problems, but not on the long-term upgrading of water distribution networks. Herein, the pipes are sized to carry maximum entropy flows using linear programming while the best upgrading sequence is identified using dynamic programming. The results demonstrate that the cheapest option is not necessarily the best when other factors e.g. performance and socio-environmental concerns are considered in an explicit way.

Item type: Book Section
ID code: 8509
Keywords: analytic hierarchy process, water distribution system, demand management, maximum entropy flows, design optimisation, water networks, reliability and failure tolerance, multicriteria analysis, rehabilitation and upgrading, minimum flow path method, net present value, Environmental Sciences, Engineering (General). Civil engineering (General)
Subjects: Geography. Anthropology. Recreation > Environmental Sciences
Technology > Engineering (General). Civil engineering (General)
Department: Faculty of Engineering > Civil and Environmental Engineering
Depositing user: Strathprints Administrator
Date Deposited: 10 Sep 2009 11:14
Last modified: 11 Dec 2015 02:16
URI: http://strathprints.strath.ac.uk/id/eprint/8509

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