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Di Bello, G.
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Di Bello, G.
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- PublicationOpen AccessRobust satellite techniques for remote sensing of seismically active areas(2001-04)
; ; ; ; ;Tramutoli, V.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Pergola, N.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Potenza, Italy ;Piscitelli, S.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Potenza, Italy; ; ; Several satellite techniques have been recently proposed to remotely map seismically active zones and to monitor geophysical phenomena possibly associated with earthquakes. Even if questionable in terms of their effective applicability, all these techniques highlight as the major problem, still to be overcome, the high number of natural factors (independent of any seismic activity) whose variable contributions to the investigated signal can be so high as to completely mask (or simulate) the space-time anomaly possibly associated to the seismic event under study. A robust approach (RAT) has recently been proposed (and successfully applied in the field of the monitoring of the major environmental risks) which, better than other methods, seems suitable for recognising space-time anomalies in the satellite observational field also in the presence of highly variable contributions from atmospheric (transmittance), surface (emissivity and morphology) and observational (time/season, but also solar and satellite zenithal angles) conditions.This work presents the first preliminary results, based on several years of NOAA/AVHRR observations, regarding its extension to satellite monitoring of thermal anomalies possibly associated to seismically active areas of Southern Italy. The main merits of this approach are its robustness against the possibility of false events detection (specially important for this kind of applications) as well as its intrinsic exportability not only to different geographic areas but also to different satellite instrumental packages.1414 2226 - PublicationOpen AccessSelf-potential time series analysis in a seismic area of the Southern Apennines: preliminary results(1994-11)
; ; ; ; ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Lapenna, V.; stituto di Metodologie Avanzate di Analisi Ambientale, Area della Ricerca del C.N.R., Tito (PZ), Italy ;Satriano, C.; Dipartimento di Chimica, Università della Basilicata, Potenza, Italy ;Tramutoli, V.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy; ; ; The self-potential time series recorded during the period May 1991 - August 1992 by an automatic station, located in a seismic area of Southern Apennines, is analyzed. We deal with the spectral and the statistical features of the electrotellurie precursors: they can play a major role in the approach to seismic prediction. The time-dynamics of the experimental time series is investigated, the cyclic components and the time trends are removed. In particular we consider the influence of external noise, related to anthropic activities and meteoclimatic parameters, and pick out the anomalies from the residual series. Finally we show the preliminary results of the correlation between the anomalies in the time patterns of self-potential data and the earthquakes which occurred in the area.227 358 - PublicationOpen AccessRobust satellite techniques for volcanicand seismic hazards monitoring(2004)
; ; ; ; ; ; ; ; ; ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell Ambiente, Università degli Studi della Basilicata, Potenza, Italy ;Filizzola, C.; Dipartimento di Ingegneria e Fisica dell Ambiente, Università degli Studi della Basilicata, Potenza, Italy ;Lacava, T.; Dipartimento di Ingegneria e Fisica dell Ambiente, Università degli Studi della Basilicata, Potenza, Italy ;Marchese, F.; Dipartimento di Scienze Geologiche, Università degli Studi della Basilicata, Potenza, Italy ;Pergola, N.; Istituto di Metodologie per l Analisi Ambientale (IMAA),CNR, Tito Scalo (PZ), Italy ;Pietrapertosa, C.; Istituto di Metodologie per l Analisi Ambientale (IMAA),CNR, Tito Scalo (PZ), Italy ;Piscitelli, S.; Istituto di Metodologie per l Analisi Ambientale (IMAA),CNR, Tito Scalo (PZ), Italy ;Scaffidi, I.; Istituto di Metodologie per l Analisi Ambientale (IMAA),CNR, Tito Scalo (PZ), Italy ;Tramutoli, V.; Dipartimento di Ingegneria e Fisica dell Ambiente, Università degli Studi della Basilicata, Potenza, Italy; ; ; ; ; ; ; ; Several satellite techniques have been proposed to monitor events related to seismic and volcanic activity. A selfadaptive approach (RAT, Robust AVHRR Techniques) has recently been proposed which seems able to recognise space-time anomalies, differently related to such events, also in the presence of highly variable contributions from atmospheric (transmittance), surface (emissivity and morphology) and observational (time/season, but also solar and satellite zenithal angles) conditions. On the basis of NOAA-AVHRR data, the RAT aprroach has already been applied to Mount Etna volcanic ash cloud monitoring in daytime, and to seismic area monitoring in Southern Italy. This paper presents the theoretical basis for the extension of RAT approach also to nighttime volcanic ash cloud detection, together with its possible implementation to lava flow monitoring. One example of successful forecasting (few days before) of a new lava vent opening during the Mount Etna eruption of July 2001 will be discussed in some detail. Progress on the use of the same approach on seismically active area monitoring will be discussed by comparison with previous results achieved on the Irpinia-Basilicata earthquake (MS = 6.9), which occurred on November 23rd 1980 in Southern Italy.220 409 - PublicationOpen AccessInvestigating the temporal fluctuations in geoelectrical and geochemical signals Jointly measured in a seismic area of Southern Apennine chain (Italy)(2001-04)
; ; ; ; ; ; ; ;Cuomo, V.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Heinecke, J.; Saxon Academy of Sciences, Leipzig, Germany ;Lapenna, V.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy ;Martinelli, G.; Servizio Cartografico, Regione Emilia-Romagna, Bologna, Italy ;Piscitelli, S.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy ;Telesca, L.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy; ; ; ; ; ; We analyse geoelectrical and geochemical time series jointly measured by means of a multiparametric automatic station close to an anomalous fluid emission in Val d'Agri (Basilicata, Southern Italy). In the investigated are some destructive seismic events occurred in past and recent years. We analysed the temporal fluctuations of the signals by spectral tools. We detected scaling behaviours in the power spectra of the time series recorded, that are typical fingerprints of fractional Brownian motions. The estimated values of the spectral indices reveal the presence of antipersistent behaviour in the time dynamics of all geoelectrical and geochemical data recorded. This work intends to improve our knowledge of the inner time dynamics of geophysical non-seismometric parameters.195 1102 - PublicationOpen AccessParametric time series analysis of geoelectrical signals: an application to earthquake forecasting in Southern Italy(1996-01)
; ; ; ; ; ; ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Lapenna, V.; Istituto di Metodologie Avanzate di Analisi Ambientale, Area della Ricerca del C.N.R., Tito (PZ), Italy ;Macchiato, M.; Dipartimento di Scienze Fisiche, Università «Federico II», Napoli, Italy ;Satriano, C.; Dipartimento di Chimica, Università della Basilicata, Potenza, Italy ;Serio, C.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Tramutoli, V.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy; ; ; ; ; An autoregressive model was selected to describe geoelectrical time series. An objective technique was subsequently applied to analyze and discriminate values above (below) an a priorifixed threshold possibly related to seismic events. A complete check of the model and the main guidelines to estimate the occurrence probability of extreme events are reported. A first application of the proposed technique is discussed through the analysis of the experimental data recorded by an automatic station located in Tito, a small town on the Apennine chain in Southern Italy. This region was hit by the November 1980 Irpinia-Basilicata earthquake and it is one of most active areas of the Mediterranean region. After a preliminary filtering procedure to reduce the influence of external parameters (i.e. the meteo-climatic effects), it was demonstrated that the geoelectrical residual time series are well described by means of a second order autoregressive model. Our findings outline a statistical methodology to evaluate the efficiency of electrical seismic precursors.187 454 - PublicationOpen AccessA new multiparametric geophysicalstation to detect self-potentialand seismometric signals at Tito site(Southern Italy)(2001-04)
; ; ; ; ; ;Balasco, M.; Istituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy ;Chianese, D.; ituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy ;Di Bello, G.; Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy ;Gallipoli, M. R.; ituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy ;Lapenna, V.; ituto di Metodologie Avanzate di Analisi Ambientale, CNR, Tito Scalo (PZ), Italy; ; ; ; n this work we present the main features of a new multiparametric station able to jointly detect self-potential and seismometric signals in a seismic active area of Southern Italy. The new station has been designed and installed at the Tito Laboratories of National Research Council (Italy) that are located in the Southern Apennines, one of the most tectonically active areas of the whole Mediterranean. It combines advanced technologies for data acquisition with robust statistical techniques to pick out extreme events from self-potential recordings. The completely automatic station is equipped with electrical and seismometric sensors (16 channels, A/D 24 bit, sampling rate of 0.25 Hz, range dynamics of 133 dB). After a preliminary filtering procedure, mainly devoted to removing any influence of meteo-climatic conditions and/or cultural electrical noise, we evaluated the performance of the new monitoring station investigating the possible correlation between anomalous patterns of the self-potential signals and local seismic activity. Objective criteria and robust statistical tools have been applied to identify extreme events in electrical measurements and to select the earthquakes that may be responsible for strain effects at the measuring point. The short period of the measuring activity does not allow us to give firm conclusions, however the first results encourage us to continue the monitoring activity by increasing the number of remote stations and improving the use of statistical packages for data processing. We identified a well based monitoring strategy that in the near future could be useful to better understand the possible correlation between anomalous self-potential signals and local seismic activity.152 637