Performance-Based Budget Allocation Model for Water Networks
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 3
Abstract
Budget distribution over water network segments is one of the challenges that face municipalities worldwide. Most water distribution networks (WDNs) are deteriorating, and thus they require urgent rehabilitation, which costs billions of dollars. Therefore, there is a need to develop a prioritization tool for allocating the budget to the inspected components and selecting the most suitable rehabilitation actions. The present research aims to develop a water network performance–based budget allocation (WNPBA) model to allocate budgets based on the performance assessment optimally. The WNPBA model utilizes Weibull distribution to predict the performance for the components, as well as both genetic algorithm (GA) and greedy heuristics (GH) to allocate the available funds optimally. The data required for this research were collected from experts in Montreal’s water services because the developed model was applied to a subnetwork from Montreal. The model’s recommended actions matched the city water services’ actions, utilizing the AQUAMODEX tool by almost 94%. The developed WNPBA has proven to be a promising tool in allocating budget to water networks. Data from a water subnetwork in Montreal were used to demonstrate the proposed model. Therefore, the model is useful for the decision-making process through any water municipality to facilitate the budget allocation process.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available at https://spectrum.library.concordia.ca/981481/1/Ismaeel_MASc_F2016.pdf following funder data retention policies. Data that are not covered in the mentioned document are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to express their thanks and appreciation to Montreal Water Services, Department of Strategic Management for the valuable data they provided for experimenting with this model and for their feedback and comments.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 12 • Issue 3 • August 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: May 4, 2020
Accepted: Dec 14, 2020
Published online: Apr 15, 2021
Published in print: Aug 1, 2021
Discussion open until: Sep 15, 2021
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