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priority assessment model for water distribution networks

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priority assessment model for water distribution networks

moursi, ahmed (2016) priority assessment model for water distribution networks. Masters thesis, Concordia University.

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Abstract

Infrastructure is a critical element in the countries’ growth and development. Poor management of these systems would lead to their failure and in turn to disastrous situations. According to the United States Environmental Protection Agency (EPA) fifth report on drinking water infrastructure, the investments in the drinking water utilities need a total amount of $384.2 billion for the next 15 years, i.e. until December 2030. Also, according to the 2013 American’s Infrastructure Report Card, the Drinking Water System (DWS) is graded as “D”, implying a status between poor and fair, with an increasing failure probability. Similarly, as stated in the last 2016 Canadian Infrastructure Report Card, the water system received a ranking of “Good”, representing an ‘adequate for now’ status. However, about 29 percent of pipelines condition is rated between fair and very poor, signifying that an urgent repair is needed with total replacement cost of $ 60 billion. Meanwhile, due to budget deficits, municipalities find it is a challenge to prioritize which asset to repaire or rehabilitate. Thus, a lot of research is done to predict the probability of failure. Yet, most of this research is limited to the consequence of failure and the criticality of water pipelines.
The main objective of this study is to develop a priority index induced by a combination of the criticality and performance of water distribution network. In this research, criticality factors that affect the water distribution networks are identified. Criticality is divided into three main aspects: (i) Economic, (ii) Environmental/Operational and (iii) Social factors. Each of these key elements is divided into subfactors with different attributes to describe the actual status of the proposed area. Paprika and Swing techniques are used to determine the weights of subfactors. The effect values are obtained from experts from North America, Europe and Qatar through questionnaires and meetings. After all the required data are collected, the data are analyzed and incorporated into the criticality model to determine the criticality index for each pipeline in the desired location. A sensitivity analysis is conducted to define the factors with the highest and the lowest impact on the criticality index. It is determined that the “Road type” sub-factor has the highest influence on the criticality index, based on Qatar’s data analysis. Meanwhile, the “Pipeline diameter” sub-factor has the greatest impact on the criticality index, based on North America and Europe data analysis.
The developed criticality index is utilized with the performance index to develop the priority index, which is illustrated on the emerged priority scale and matrix for a better evaluation of the current asset status. It is concluded that “Ville Marrie” sector is found to have the highest priority index in Montreal city, equals to 4.42. While,“Bizard Island” has the lowest priority index value in the city, equals to 3.69. The developed model will guide municipalities and governments to generate a capital plan and allocate the available budget to the most critical parts of their networks. These results are also used as a reference to highlight the key areas in each sector of the designed city that need an urgent repair. This will decrease the risks, defects and health hazards of the water networks while maintaining the safety and durability of the water distribution networks in a cost-effective manner.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (Masters)
Authors:moursi, ahmed
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Building Engineering
Date:August 2016
Thesis Supervisor(s):zayed, tarek
ID Code:981520
Deposited By: AHMED MOURSI
Deposited On:08 Nov 2016 14:10
Last Modified:18 Jan 2018 17:53
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