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A Strategy to Assess Water Meter Performance

dc.contributor.authorCordeiro, Clara
dc.contributor.authorBorges, Ana
dc.contributor.authorRamos, M. Rosário
dc.date.accessioned2023-01-13T11:00:23Z
dc.date.available2023-01-13T11:00:23Z
dc.date.issued2022-02
dc.description.abstractApparent water losses can be problematic to water companies’ revenues. This type of loss is very difficult to detect and quantify and is often associated with water meter anomalies. This study was motivated by a water company’s challenge that links a decrease in water consumption to water meters’ malfunction. The aim is to develop a strategy to detect decreasing water usage patterns, contributing to meter performance assessment. The basis of the approach is a combination of statistical methods. First, the time series of billed water consumption is decomposed using Seasonal-Trend decomposition based on Loess. Next, breakpoint analysis is performed on the seasonally adjusted time series. After that, the Mann–Kendall test and Sen’s slope estimator are used to analyze periods of progressive decrease changes in water consumption, defined by breakpoints. A quantitative indicator of this change is proposed. The strategy was successfully applied to eight-time series of water consumption from the Algarve, Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCordeiro, C., Borges, A., & Ramos, M. R. (2022). A strategy to assess water meter performance. Journal of Water Resources Planning and Management, 148(2), 05021027.pt_PT
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0001492pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/21493
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherASCEpt_PT
dc.relationCenter for Research and Innovation in Business Sciences and Information Systems
dc.relation.publisherversionhttps://ascelibrary.org/doi/10.1061/%28ASCE%29WR.1943-5452.0001492pt_PT
dc.titleA Strategy to Assess Water Meter Performancept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Research and Innovation in Business Sciences and Information Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04728%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.titleJournal of Water Resources Planning and Managementpt_PT
oaire.citation.volume148pt_PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationec4e6499-c35b-4bd1-ae53-5d0c33d8111e
relation.isProjectOfPublication.latestForDiscoveryec4e6499-c35b-4bd1-ae53-5d0c33d8111e

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