Next Article in Journal
A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention
Next Article in Special Issue
Design and Implementation of a New System for Large Bridge Monitoring—GeoSHM
Previous Article in Journal
Adjacent Vehicle Number-Triggered Adaptive Transmission for V2V Communications
Previous Article in Special Issue
A Railway Track Geometry Measuring Trolley System Based on Aided INS
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(3), 756; https://doi.org/10.3390/s18030756

Estimating and Comparing Dam Deformation Using Classical and GNSS Techniques

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA)—Geomatics and Geodesy Section, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 20 February 2018 / Accepted: 23 February 2018 / Published: 2 March 2018
(This article belongs to the Special Issue Sensors for Deformation Monitoring of Large Civil Infrastructures)
View Full-Text   |   Download PDF [4302 KB, uploaded 5 March 2018]   |  

Abstract

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. View Full-Text
Keywords: dam; monitoring; GNSS; predictive modeling; collimators; pendulum; displacement detection; time series dam; monitoring; GNSS; predictive modeling; collimators; pendulum; displacement detection; time series
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Barzaghi, R.; Cazzaniga, N.E.; De Gaetani, C.I.; Pinto, L.; Tornatore, V. Estimating and Comparing Dam Deformation Using Classical and GNSS Techniques. Sensors 2018, 18, 756.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top