Refined prediction of vertical gradient of gravity at Etna volcano gravity network (Italy)

  • Pavol ZAHOREC Division of Geophysics, Earth Science Institute, Slovak Academy of Sciences
  • Juraj PAPČO Faculty of Civil Engineering,Slovak University of Technology, Bratislava, Slovak Republic
  • Peter VAJDA Division of Geophysics, Earth Science Institute, Slovak Academy of Sciences
  • Filippo GRECO Instituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Osservatorio Etneo, Catania, Italy
  • Massimo CANTARERO Instituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Osservatorio Etneo, Catania, Italy
  • Daniele CARBONE Instituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Osservatorio Etneo, Catania, Italy
Keywords: VGG, topographic effect, building correction, DEM, volcano gravity monitoring network

Abstract

Predicted values of the vertical gradient of gravity (VGG) on benchmarks of Etna’s monitoring system, based on calculation of the topographic contribution to the theoretical free-air gradient, are compared with VGG values observed in situ. The verification campaign indicated that improvements are required when predicting the VGGs at such networks. Our work identified the following factors to be resolved: (a) accuracy of the benchmark position; (b) gravitational effect of buildings and roadside walls adjacent to benchmarks; (c) accuracy of the digital elevation model (DEM) in the proximity of benchmarks. Benchmark positions were refined using precise geodetic methods. The gravitational effects of the benchmark-adjacent walls and buildings were modeled and accounted for in the prediction. New high-resolution DEMs were produced in the innermost zone at some benchmarks based on drone-flown photogrammetry to improve the VGG prediction at those benchmarks. The three described refinements in the VGG prediction improved the match between predicted and in situ observed VGGs at the network considerably. The standard deviation of differences between the measured and predicted VGG values decreased from 36 to 13 μGal/m.

Author Biographies

Pavol ZAHOREC, Division of Geophysics, Earth Science Institute, Slovak Academy of Sciences

Bratislava, Slovak Republic

Juraj PAPČO, Faculty of Civil Engineering,Slovak University of Technology, Bratislava, Slovak Republic

Department of Theoretical Geodesy

Peter VAJDA, Division of Geophysics, Earth Science Institute, Slovak Academy of Sciences

Bratislava, Slovak Republic

Published
2018-12-30
How to Cite
ZAHOREC, P., PAPČO, J., VAJDA, P., GRECO, F., CANTARERO, M., & CARBONE, D. (2018). Refined prediction of vertical gradient of gravity at Etna volcano gravity network (Italy). Contributions to Geophysics and Geodesy, 48(4), 299-317. https://doi.org/10.2478/congeo-2018-0014
Section
original research papers