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Rehabilitation cost modelling of water supply infrastructures at the leading edge sustainable asset management

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dc.contributor.author Cabral , M. pt_BR
dc.contributor.author Marchionni, V. pt_BR
dc.contributor.author Pinheiro, A. pt_BR
dc.contributor.author Loureiro, D. pt_BR
dc.contributor.author Covas, D. pt_BR
dc.date.accessioned 2018-08-01T10:32:48Z pt_BR
dc.date.accessioned 2018-09-07T09:36:19Z
dc.date.available 2018-08-01T10:32:48Z pt_BR
dc.date.available 2018-09-07T09:36:19Z
dc.date.issued 2017-06 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1010874
dc.description.abstract Asset deterioration due to aging and stress causes increased operation and maintenance costs, water losses, quality of service reduction and a worse quality of supplied water. To maintain or improve the performance of existing water networks, both old and modern systems and technologies for inspection and control, operation and maintenance and appropriate rehabilitation should be used. The current paper presents the development of rehabilitation cost functions for different types of storage tanks (e.g., ground and elevated) based on known physical characteristics of the assets (e.g., volume and height) and their comparison with the construction costs. The followed methodology is a five-step procedure: 1) Database construction and analysis; 2) Present cost calculation; 3) Key parameters identification and cost function establishment; 4) Rehabilitation cost functions estimation; 5) Cost function testing and validation. Rehabilitation cost and infrastructure data from several Portuguese water utilities were used. Multiple linear regressions have been used for modelling rehabilitation costs and regression curves were divided in civil works and electromechanical equipment and electrical facility costs. Obtained cost functions have been tested and present high coefficient of determination and statistical significance. This research provides a comprehensive and robust methodology for rehabilitation cost function estimation and develops rehabilitation cost functions that are grounded on a set of terms with an associated physical meaning. pt_BR
dc.language.iso eng pt_BR
dc.publisher IWA Publishing pt_BR
dc.rights restrictedAccess pt_BR
dc.subject Rehabilitation pt_BR
dc.subject Cost modelling pt_BR
dc.subject Regression techniques pt_BR
dc.subject Storage tanks pt_BR
dc.title Rehabilitation cost modelling of water supply infrastructures at the leading edge sustainable asset management pt_BR
dc.type workingPaper pt_BR
dc.description.pages 7 p pt_BR
dc.identifier.local Trondheim, Norway pt_BR
dc.description.sector DHA/NES pt_BR
dc.identifier.conftitle Lesam 2017 - The Leading Edge Sustainable Asset Management of Water and Wastewater Infrastructure Conference pt_BR
dc.contributor.peer-reviewed NAO pt_BR
dc.contributor.academicresearchers NAO pt_BR
dc.contributor.arquivo NAO pt_BR


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