http://www.cnr.it/ontology/cnr/individuo/prodotto/ID34783
Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas (Articolo in rivista)
- Type
- Label
- Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.pce.2003.09.017 (literal)
- Alternative label
Telesca L [1], Lapenna V [1], Timashev S [2], Vstovsky G [3], Martinelli G [4] (2004)
Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas
in Physics and chemistry of the earth (2002)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Telesca L [1], Lapenna V [1], Timashev S [2], Vstovsky G [3], Martinelli G [4] (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- [ 1 ] CNR, Ist Metodol Anal Ambientale, I-85050 Tito, PZ, Italy
[ 2 ] L Ya Karpov Inst Phys Chem, Moscow 105064, Russia
[ 3 ] NN Semenov Chem Phys Inst, Moscow 119991, Russia
[ 4 ] ARPA Emilia Romagna, I-40139 Bologna, Italy (literal)
- Titolo
- Flicker-noise spectroscopy: a new approach to investigate the time dynamics of geoelectrical signals measured in seismic areas (literal)
- Abstract
- The Flicker-Noise Spectroscopy (FNS) is an innovative method of extracting quantitative dynamical information from time series. The method represents the signal as sequences of irregularities (spikes, jumps, discontinuities of derivatives), derived on the basis of power spectra and structural functions of different orders. By means of this method we investigated one-year hourly geoelectrical data measured during 2002 in the station Giuliano, southern Italy, one of the most seismically active areas of Mediterranean region. The analysis performed seems to reveal the potential of the FNS to identify seismic precursors. (literal)
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