Publication Date:
2017-04-04
Description:
Continuous gravity recordings in volcanic area could play a fundamental role in the
monitoring of active volcanoes and in the prediction of eruptive events too. This geophysical
methodology is utilized, on active volcanoes, in order to detect mass changes linked to magma
transfer processes and, thus, to recognize forerunners to paroxysmal volcanic events. Spring
gravimeters are still the most utilized instruments for microgravity studies because of their
relatively low cost and small size, which make them easy to transport and install. Continuous
gravity measurements are now increasingly performed at sites very close to active craters, where
there is the greatest opportunity to detect significant gravity changes due to a volcanic activity.
Unfortunately, spring gravity meters show a strong influence of meteorological parameters (i.e.
pressure, temperature and humidity), especially in the adverse environmental conditions usually
encountered at such places. As the gravity changes due to the volcanic activity are very small
compared to other geophysical or instrumental effects we need a new mathematical tool to get
reliable gravity residuals susceptible to reflect the volcanic effect. In the following we present and
discuss a preliminary work about the confrontation between the traditional filtering methodology
and the Wavelet transform. The overall results show that the performance of the wavelet-based filter
seems better than the Fourier one. Moreover, the possibility of getting a multi-resolution analysis
and study local features of the signal in the time domain makes the proposed methodology a
valuable tool for gravity data processing.
Description:
Submitted
Description:
open
Keywords:
Gravimeter
;
wavelet transform
;
filtering
;
volcanic monitoring
;
04. Solid Earth::04.03. Geodesy::04.03.05. Gravity variations
;
05. General::05.01. Computational geophysics::05.01.01. Data processing
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
manuscript
Format:
363931 bytes
Format:
application/pdf
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