GNGTS 2016 - Atti del 35° Convegno Nazionale
326 GNGTS 2016 S essione 2.1 Bibliografia Frankel, A. (1995). Mapping seismic hazard in the Central and Eastern United States. Seismological Research Letters. Gardner, J. K., &Knopoff, L. (1974). Is the sequence of earthquakes in Southern California, with aftershocks removed, Poissonian?. Bulletin of the Seismological Society of America, 64(5), 1363-1367. Helmstetter, A, Kagan, YY, Jackson, DD. (2007). High-resolution time-independent grid based forecast for M≥5 earthquakes in California. Seismological Research Letters, 78: 78-86. Moschetti, M. P. (2015). A long-term earthquake rate model for the central and eastern United States from smoothed seismicity. Bulletin of the Seismological Society of America, 105(6), 2928-2941. Weichert, D.H. (1980). Estimation of the earthquake recurrence parameters for unequal observation periods for different magnitudes, Bull. Seism. Soc. Am., 70, 1337-1346 Taroni, M., Zechar, J. D., & Marzocchi, W. (2014). Assessing annual global M6+ seismicity forecasts. Geophysical Journal International, ggt369. Fig. 3 – Rate annuale cumulativo per gli eventi di magnitudo Mw>4.5 in ogni cella spaziale (0.1°* 0.1°), in scala logaritmica, per il modello finale (pesi 50% e 50% ). In giallo gli eventi di magnitudo Mw>6.0 del catalogo CPTI15. I tassi sono stati presentati come log 10 per 100 km 2 quindi per ottenere i tassi per km 2 moltiplicare per 10 -2 . The contribute of TIR Satellite Observations to a multi-parametric system for the short-term Seismic Hazard Assessment V. Tramutoli 1,2,3 , C. Filizzola 2 , N. Genzano 1,4 , M. Lisi 1 , R. Paciello 2 , N. Pergola 2 1 School of Engineering, University of Basilicata, Potenza, Italy 2 Institute of Methodologies for Environmental Analysis of the National Research Council, Tito Scalo (PZ), Italy 3 International Space Science Institute, Beijing, China 4 Graduate School of Science, Chiba University, Chiba, Japan The combined use of independent observations, together with suitable data analysis methods, are expected to strongly improve quality of seismic hazard estimation in the short (weeks) and very short (days) term. However, before whatever integration, a preliminary assessment of each candidate precursor should be performed in order to establish the strength of its (possible) correlation with earthquake occurrence and its actual informative contribute in a multi-parametric OEF (Operational Earthquake Forecast) scheme.
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