Please use this identifier to cite or link to this item:
|Authors: ||Andò, B.*|
|Title: ||A test on a Neuro-Fuzzy algorithm used to reduce continuous gravity records for the effect of meteorological parameters|
|Title of journal: ||Physics of the Earth and Planetary Interiors|
|Series/Report no.: ||1-2/142(2004)|
|Issue Date: ||12-May-2004|
Exogenous parameter compensation
|Abstract: ||Gravity measurements are utilized at active volcanoes to detect mass changes linked to magma transfer processes and thus to recognize forerunners to paroxysmal volcanic events. Continuous gravity measurements are now increasingly performed at sites very close to active craters, where there is the greatest chance to detect meaningful gravity changes. Unfortunately, especially when used against the adverse environmental conditions usually encountered at such places, gravimeters have been proved to be affected by meteorological parameters, mainly by changes in the atmospheric temperature. The pseudo-signal generated by these perturbations is often stronger than the signal generated by actual changes in the gravity field. Thus, the implementation of well-performing algorithms for reducing the gravity signal for the effect of meteorological parameters is vital to obtain sequences useful from the volcano surveillance standpoint. In the present paper, a Neuro-Fuzzy algorithm, which was already proved to accomplish the required task satisfactorily, is tested over a data set from three gravimeters which worked continuously for about 50 days at a site far away from active zones, where changes due to actual fluctuation of the gravity field are expected to be within a few microgal.
After accomplishing the reduction of the gravity series, residuals are within about 15μGal peak-to-peak, thus confirming the capabilities of the Neuro-Fuzzy algorithm under test of performing the required task satisfactorily.|
|Appears in Collections:||04.03.05. Gravity variations|
Papers Published / Papers in press
Files in This Item:
|912 Andò and Carbone.pdf||258.96 kB||Adobe PDF||View/Open
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.