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Using spectral analysis of Cabril dam GNSS monitoring system time series for detecting periodic displacements

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dc.contributor.author Lima, J. N. pt_BR
dc.date.accessioned 2022-02-08T14:17:34Z pt_BR
dc.date.accessioned 2022-03-09T15:24:42Z
dc.date.available 2022-02-08T14:17:34Z pt_BR
dc.date.available 2022-03-09T15:24:42Z
dc.date.issued 2020-09-22 pt_BR
dc.identifier.citation ISBN 978-972-49-2312-3 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1014480
dc.description.abstract A 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.iso eng pt_BR
dc.publisher Laboratório Nacional de Engenharia Civil pt_BR
dc.rights openAccess pt_BR
dc.subject Arch dam, monitoring, GNSS, time series pt_BR
dc.title Using spectral analysis of Cabril dam GNSS monitoring system time series for detecting periodic displacements pt_BR
dc.type conferenceObject pt_BR
dc.identifier.localedicao Lisboa pt_BR
dc.description.pages 12 pt_BR
dc.identifier.local Lisboa, LNEC pt_BR
dc.description.volume RNI 107 pt_BR
dc.description.sector DBB/NGA pt_BR
dc.identifier.conftitle Dam World 2020 pt_BR
dc.contributor.peer-reviewed SIM pt_BR
dc.contributor.academicresearchers NAO pt_BR
dc.contributor.arquivo SIM pt_BR


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