Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1014480
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLima, J. N.pt_BR
dc.date.accessioned2022-02-08T14:17:34Zpt_BR
dc.date.accessioned2022-03-09T15:24:42Z-
dc.date.available2022-02-08T14:17:34Zpt_BR
dc.date.available2022-03-09T15:24:42Z-
dc.date.issued2020-09-22pt_BR
dc.identifier.citationISBN 978-972-49-2312-3pt_BR
dc.identifier.urihttps://repositorio.lnec.pt/jspui/handle/123456789/1014480-
dc.description.abstractA measurement system based on GNSS (Global Navigation Satellite System) was installed at Cabril dam in order to monitor displacements at the top of the central section. The GNSS system consists of two receivers (stations), one located on the crest of the dam, in central section, and the second located on the left bank, on the top of a medium voltage pole of a line deactivated and cut to be about 6 m high, to work as reference station. Unfortunately, this GNSS monument is exposed to solar radiation and wind effects. Consequently, it is expected that these environmental factors could cause sub-daily noise in the estimation of the dam displacements due to the thermal tilts of the monument. This paper is concerned with the assessment of the impact of this GNSS monument on the noise in the continuous GNSS time series. In GNSS time series analysis, frequency-domain signature is obtained by converting time-domain data into its unique frequency components using a Fast Fourier Transform (FFT). Through the analysis of frequency-domain signal signatures, the dam displacement seasonal can be detected and isolated from the noise eventually caused by the GNSS monument instability.pt_BR
dc.language.isoengpt_BR
dc.publisherLaboratório Nacional de Engenharia Civilpt_BR
dc.rightsopenAccesspt_BR
dc.subjectArch dam, monitoring, GNSS, time seriespt_BR
dc.titleUsing spectral analysis of Cabril dam GNSS monitoring system time series for detecting periodic displacementspt_BR
dc.typeconferenceObjectpt_BR
dc.identifier.localedicaoLisboapt_BR
dc.description.pages12pt_BR
dc.identifier.localLisboa, LNECpt_BR
dc.description.volumeRNI 107pt_BR
dc.description.sectorDBB/NGApt_BR
dc.identifier.conftitleDam World 2020pt_BR
dc.contributor.peer-reviewedSIMpt_BR
dc.contributor.academicresearchersNAOpt_BR
dc.contributor.arquivoSIMpt_BR
Appears in Collections:DBB/NGA - Comunicações a congressos e artigos de revista

Files in This Item:
File Description SizeFormat 
DW2020_paper_222.pdfDocumento principal1.31 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.