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    Integrated Performance Assessment Model for Water Networks

    Source: Journal of Infrastructure Systems:;2018:;Volume ( 024 ):;issue: doi: 10.1061/(ASCE)IS.1943-555X.0000419;2;doi: 10.1061/(ASCE)IS.1943-555X.0000419;https://doi.org/10.1061/(ASCE)IS.1943-555X.0000419
    Author:
    Ismaeel M.;Zayed T.
    DOI: 10.1061/(ASCE)IS.1943-555X.0000419
    Publisher: American Society of Civil Engineers
    Abstract: Most water distribution systems worldwide are deteriorating rapidly, while their rehabilitation costs are on the rise. Maintaining water networks in a proper condition under a tight budget puts extra pressure on municipalities and triggers the need for a proper performance assessment. This research therefore aims at developing an Integrated Water Networks Performance Assessment (I-WNPA) model to assess the performance of water networks. It also presents a functional (physical, operational, quality of service, and environmental) and global (or total) performance index scale of different performance states, the description of each state and recommended intervention actions (long term, short term, or immediate). The model encompasses three main phases for utilizing the fuzzy analytic network process (FANP) to calculate the weights of functional performance criteria of the components in the first phase. It also uses both the preference ranking organization method of enrichment evaluation (PROMETHEE) and the simple multiattribute utility theory (MAUT) to compute the functional and global performance indices of the network components. Then, the probability-of-failure–based integration method is developed to integrate the component indices and to obtain the segment performance index (SPI). The topological clustering is adopted to integrate SPI to obtain the entire network index, using the topological chart of the network and the connectivity ranked matrix. In this research, data are obtained from questionnaires and case study databases. The proposed model is demonstrated via the data covering water subnetwork in the city of Montreal. The results are well aligned with Montreal water services assessment as follows: Excellent for 16 pipes and 49 accessories, good for 32 pipes, medium for 5 pipes and 8 accessories, and poor for 21 accessories. The results also show that the analyzed subnetwork is in a medium state. These results are used to identify and prioritize the most vulnerable components, subnetworks, or the entire network, and subsequently to identify the performance improvements required. The model can be linked to other models, such as rehabilitation planning and budget allocation. This approach suits any unidirectional (one-way flow) water network, and it can be adopted to support the performance assessment of any water network by considering hydraulic analysis and automation means. It can also be adopted by other infrastructure systems, such as sewer networks and subway systems, when suitable indicators are defined.
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      Integrated Performance Assessment Model for Water Networks

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    contributor authorIsmaeel M.;Zayed T.
    date accessioned2019-02-26T07:30:28Z
    date available2019-02-26T07:30:28Z
    date issued2018
    identifier other%28ASCE%29IS.1943-555X.0000419.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4247450
    description abstractMost water distribution systems worldwide are deteriorating rapidly, while their rehabilitation costs are on the rise. Maintaining water networks in a proper condition under a tight budget puts extra pressure on municipalities and triggers the need for a proper performance assessment. This research therefore aims at developing an Integrated Water Networks Performance Assessment (I-WNPA) model to assess the performance of water networks. It also presents a functional (physical, operational, quality of service, and environmental) and global (or total) performance index scale of different performance states, the description of each state and recommended intervention actions (long term, short term, or immediate). The model encompasses three main phases for utilizing the fuzzy analytic network process (FANP) to calculate the weights of functional performance criteria of the components in the first phase. It also uses both the preference ranking organization method of enrichment evaluation (PROMETHEE) and the simple multiattribute utility theory (MAUT) to compute the functional and global performance indices of the network components. Then, the probability-of-failure–based integration method is developed to integrate the component indices and to obtain the segment performance index (SPI). The topological clustering is adopted to integrate SPI to obtain the entire network index, using the topological chart of the network and the connectivity ranked matrix. In this research, data are obtained from questionnaires and case study databases. The proposed model is demonstrated via the data covering water subnetwork in the city of Montreal. The results are well aligned with Montreal water services assessment as follows: Excellent for 16 pipes and 49 accessories, good for 32 pipes, medium for 5 pipes and 8 accessories, and poor for 21 accessories. The results also show that the analyzed subnetwork is in a medium state. These results are used to identify and prioritize the most vulnerable components, subnetworks, or the entire network, and subsequently to identify the performance improvements required. The model can be linked to other models, such as rehabilitation planning and budget allocation. This approach suits any unidirectional (one-way flow) water network, and it can be adopted to support the performance assessment of any water network by considering hydraulic analysis and automation means. It can also be adopted by other infrastructure systems, such as sewer networks and subway systems, when suitable indicators are defined.
    publisherAmerican Society of Civil Engineers
    titleIntegrated Performance Assessment Model for Water Networks
    typeJournal Paper
    journal volume24
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000419
    page4018005
    treeJournal of Infrastructure Systems:;2018:;Volume ( 024 ):;issue: doi: 10.1061/(ASCE)IS.1943-555X.0000419;2;doi: 10.1061/(ASCE)IS.1943-555X.0000419;https://doi.org/10.1061/(ASCE)IS.1943-555X.0000419
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian