Estimating and Comparing Dam Deformation Using Classical and GNSS Techniques
| Autor: | Vincenza Tornatore, Riccardo Barzaghi, Livio Pinto, Noemi Emanuela Cazzaniga, Carlo Iapige De Gaetani |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
dam
010504 meteorology & atmospheric sciences Computer science 0211 other engineering and technologies 02 engineering and technology Span (engineering) lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry pendulum lcsh:TP1-1185 displacement detection Electrical and Electronic Engineering Instrumentation monitoring GNSS predictive modeling collimators time series 021101 geological & geomatics engineering 0105 earth and related environmental sciences Series (mathematics) Pendulum Geodesy Atomic and Molecular Physics and Optics GNSS applications Satellite Collimators Dam Displacement detection Monitoring Predictive modeling Time series |
| Zdroj: | Sensors; Volume 18; Issue 3; Pages: 756 Sensors (Basel, Switzerland) Sensors, Vol 18, Iss 3, p 756 (2018) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s18030756 |
| Popis: | Global Navigation Satellite Systems (GNSS) receivers are nowadays commonly used in monitoring applications, e.g., in estimating crustal and infrastructure displacements. This is basically due to the recent improvements in GNSS instruments and methodologies that allow high-precision positioning, 24 h availability and semiautomatic data processing. In this paper, GNSS-estimated displacements on a dam structure have been analyzed and compared with pendulum data. This study has been carried out for the Eleonora D’Arborea (Cantoniera) dam, which is in Sardinia. Time series of pendulum and GNSS over a time span of 2.5 years have been aligned so as to be comparable. Analytical models fitting these time series have been estimated and compared. Those models were able to properly fit pendulum data and GNSS data, with standard deviation of residuals smaller than one millimeter. These encouraging results led to the conclusion that GNSS technique can be profitably applied to dam monitoring allowing a denser description, both in space and time, of the dam displacements than the one based on pendulum observations. |
| Databáze: | OpenAIRE |
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