Publication Date:
2017-04-03
Description:
The experience of several authors has shown that continuous measurements of the gravity field, accomplished through spring
devices, are strongly affected by changes of the ambient temperature. The apparent, temperature-driven, gravity changes can be
up to one order of magnitude higher than the expected changes of the gravity field. Since these effects are frequency-dependent
and instrument-related, they must be removed through non-linear techniques and in a case-by-case fashion. Past studies have
demonstrated the effectiveness of a Neuro-Fuzzy algorithm as a tool to reduce continuous gravity sequences for the effect of
external temperature changes. In the present work, an upgraded version of this previously employed algorithm is tested against
the signal from a gravimeter, which was installed in two different sites over consecutive 96-day and 163-day periods. The better
performance of the new algorithm with respect to the previous one is proven. Besides, inferences about the site and/or seasonal
dependence of the model structure are reported.
Description:
Published
Description:
247–256
Description:
reserved
Keywords:
Gravimeters
;
Exogenous parameter compensantion
;
Neuro-Fuzzy algorithm
;
Site effects
;
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:
article
Format:
1253604 bytes
Format:
application/pdf
