GNGTS 2016 - Atti del 35° Convegno Nazionale

GNGTS 2016 S essione 2.1 293 Acknowledgments. Author would like to thank Mauro Mariotti and Alexander Brucolini and for kind cooperation in providing the GPS connection. Thanks to Alexander Brucolini and Dante Santoni for helping to assemble the new stations. A particular thank goes to SARA electronic instruments and GESENU of Perugia for the hardware supplies. References Bina A.; 2016: Observatory, at www.binapg.it/, seismic data collected between 2006 and 2016. Fidani C.; 2011: The Central Italy Electromagnetic Network and the 2009 L’Aquila earthquake: observed electric activity. Geoscience, 1, p. 3-25. Fidani C. and Martinelli G.; 2015: A possible explanation for electric perturbations recorded by the Italian CIEN stations before the 2012 Emilia earthquakes, Bollettino di Geofisica Teorica ed Applicata, 56, 2, p. 211-226. Fidani C.; 2015: Probability of earthquake occurrence from electric anomalies recorded by CIEN. In: Atti 34 th GNGTS, Trieste, Italy, Vol. 2, p. 11-15. NAVMAN; 2002: Jupiter GPS receiver, TU30-D400 Series Data Sheet, Revision A, at www.sander-electronic.de/ datasheet/gps/NAVMAN_Jupiter_11_Datasheet.pdf. Toward the development of a multi parametric system for a short-term assessment of the seismic hazard in Japan N. Genzano 1,2 , C. Filizzola 3 , K. Hattori 2,4 , M. Lisi 1 , R. Paciello 2 , N. Pergola 3,1 , V. Tramutoli 1,3,4 1 School of Engineering, University of Basilicata, Potenza, Italy 2 Graduate School of Science, Chiba University, Chiba, Japan 3 Institute of Methodologies for Environmental Analysis of the National Research Council, Tito Scalo (PZ), Italy 4 International Space Science Institute, Beijing, China Significant improvements of our short-term seismic hazard forecast capabilities are expected by a multidisciplinary approach integrating, in a common effort, different observations and expertise. In particular, real-time integration of independent observations are expected to strongly accelerate the process toward the development of an operationally more effective system for time-Dependent Assessment of Seismic Hazard (t-DASH) and earthquake short term (from days to weeks) forecast. The identification of those parameters (chemical, physical, biological, seismological, etc.) whose anomalous variations can be, to some extent, associated to the complex process of preparation of an earthquake, represents the very first step in this direction. Among the different parameters, also the fluctuations of Earth’s thermally emitted radiation, measured by satellite sensors operating in the thermal infrared (TIR) spectral range, have been associated with the complex process of preparation for major earthquakes. But, like other claimed earthquake precursors they have been for long-time considered with some caution by scientific community. The lack of a rigorous definition of anomalous TIR signal fluctuations and the scarce attention paid to the possibility that other causes (e.g. meteorological) different from seismic activity could be responsible for the observed TIR variations were the main causes of such skepticism. Compared with previously proposed approaches the general change detection approach, named Robust Satellite Techniques (RST; Tramutoli 1998, 2005, 2007), showed good ability to discriminate anomalous TIR signals possibly associated to seismic activity, from the normal variability of TIR signal due to other causes (see Tramutoli et al., 2005). Thanks to its full exportability on different satellite packages, since 2001 RST has been implemented on TIR images acquired by polar (e.g. NOAA-AVHRR, EOS-MODIS) and geostationary (e.g. MSG-SEVIRI, NOAA-GOES/W, GMS-5/VISSR) satellite sensors (see Tramutoli el al., 2015), in order to verify the presence (or absence) of TIR anomalies in presence (absence) of earthquakes (with M≥4) in different seismogenic areas around the world (e.g. Italy, Greece, Turkey, India, Taiwan, etc.).