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Flowrate time series processing in engineering tools for water distribution networks

dc.contributor.authorFerreira, Bruno
dc.contributor.authorCarriço, Nelson
dc.contributor.authorBarreira, Raquel
dc.contributor.authorDias, Tiago
dc.contributor.authorCovas, Dídia
dc.date.accessioned2024-02-07T10:18:25Z
dc.date.available2024-02-07T10:18:25Z
dc.date.issued2022
dc.description.abstractThe current paper presents a comprehensive methodology for processing unevenly (and evenly) spaced flowrate time series for subsequent use in engineering tools, such as the calibration of hydraulic models or the detection and location of leaks and bursts. The methodology is a four-step procedure: (a) anomaly identification and removal, (b) short-duration gap reconstruction, (c) time step normalization, and (d) long- duration gap reconstruction. The time step normalization is carried out by a numerical procedure prior to the reconstruction process. This reconstruction process uses a pattern model coupled with regression techniques (i.e., autoregressive integrated moving average and exponential smoothing). The methodology is calibrated using Monte Carlo simulations applied to a water utility flowrate time series and validated with two additional time series from different water utilities. Obtained results demonstrate that the proposed methodology can process flowrate time series from water supply systems with different characteristics (e.g., consumption pattern, data acquisition system, transmission settings) both for normal operating conditions and during the occurrence of abnormal events (e.g., pipe bursts). This methodology is a very useful tool for the daily management of water utilities, preparing the time series to be used in different engineering tools, namely, hydraulic simulation, model calibration or online burst detectiopt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, B., Carriço, N., Barreira, R., Dias, T., & Covas, D. (2022). Flowrate time series processing in engineering tools for water distribution networks. Water Resources Research, 58, e2022WR032393pt_PT
dc.identifier.doihttps://doi. org/10.1029/2022WR032393pt_PT
dc.identifier.issn1944-7973
dc.identifier.urihttp://hdl.handle.net/10400.26/49672
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.titleFlowrate time series processing in engineering tools for water distribution networkspt_PT
dc.typejournal article
dspace.entity.typePublication
person.familyNameCarriço
person.familyNameBarreira
person.givenNameNelson
person.givenNameRaquel
person.identifierH-2945-2012
person.identifier.ciencia-id3A1B-E21C-C25A
person.identifier.ciencia-id011B-AC27-378A
person.identifier.orcid0000-0002-2474-7665
person.identifier.orcid0000-0002-8326-1593
person.identifier.scopus-author-id55191330100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication50e5fafa-1d0d-440e-aebd-3a1a49f136c3
relation.isAuthorOfPublication11adc260-5103-4d3a-887f-6ae77108f173
relation.isAuthorOfPublication.latestForDiscovery50e5fafa-1d0d-440e-aebd-3a1a49f136c3

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