Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/4334
Authors: Del Negro, C.* 
Greco, F.* 
Napoli, R.* 
Nunnari, G.* 
Title: Denoising gravity and geomagnetic signals from Etna volcano (Italy)
Issue Date: 21-Oct-2008
Series/Report no.: /15 (2008)
URI: http://hdl.handle.net/2122/4334
Keywords: gravity data
geomagnetic data
ANFIS
ICA
Etna volcano
Subject Classification04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring 
Abstract: Multivariate methods were applied to denoise the gravity and geomagnetic signals continuously recorded by the permanent monitoring networks on the Etna volcano. Gravity and geomagnetic signals observed in volcanic areas are severely influenced by meteorological variables (i.e. pressure, temperature and humidity), whose disturbances can make the detection of volcanic source effects more difficult. For volcano monitoring it is necessary, therefore, to reduce the effects of these perturbations. To date filtering noise is a very complex problem since the spectrum of each noise component has wide intervals of superposition and, some times, traditional filtering techniques provide unsatisfactory results. We propose the application of two different approaches, the adaptive neuro-fuzzy inference system (ANFIS) and the Independent Component Analysis (ICA) to remove noise effects from gravity and geomagnetic time series. Results suggest a good efficiency of the two proposed approaches since they are capable of finding and effectively representing the underlying factors or sources, and allow local features of the signal to be detected.
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