Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Estimating and Comparing Dam Deformations Using Classical and GNSS Techniques

Riccardo Barzaghi
,
Noemi Emanuela Cazzaniga
ORCID logo ,
Carlo Iapige De Gaetani
ORCID logo ,
Livio Pinto
ORCID logo ,
Vincenza Tornatore
* ORCID logo
Version 1 : Received: 22 January 2018 / Approved: 23 January 2018 / Online: 23 January 2018 (05:22:59 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Abstract

GNSS receivers are nowadays commonly used in monitoring applications, e.g., in estimating crustal and infrastructure deformations. 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 deformations 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 the Sardinia Island. Time series of pendulum and GNSS over a time span of 2.5 years have been aligned so 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. This 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.

Keywords

dam; monitoring; GNSS; predictive modeling; collimators; pendulum

Subject

Engineering, Control and Systems Engineering

Copyright: 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.

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