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contributor authorM. Ismaeel
contributor authorT. Zayed
date accessioned2022-01-31T23:42:43Z
date available2022-01-31T23:42:43Z
date issued8/1/2021
identifier other%28ASCE%29PS.1949-1204.0000551.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270216
description abstractBudget 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.
publisherASCE
titlePerformance-Based Budget Allocation Model for Water Networks
typeJournal Paper
journal volume12
journal issue3
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/(ASCE)PS.1949-1204.0000551
journal fristpage04021017-1
journal lastpage04021017-12
page12
treeJournal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 003
contenttypeFulltext


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