Zollo, Aldo and Emolo, Antonio and Festa, Gaetano and Gasparini, Paolo (2009) Earthquake early warning system in southern Italy: Methodologies and performance evaluation. [Pubblicazione in rivista scientifica]

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Tipologia del documento: Pubblicazione in rivista scientifica
Lingua: English
Titolo: Earthquake early warning system in southern Italy: Methodologies and performance evaluation
Zollo, Aldo[non definito]
Emolo, Antonio[non definito]
Festa, Gaetano[non definito]
Gasparini, Paolo[non definito]
Autore/i: A. Zollo, G. Iannaccone, M. Lancieri, L. Cantore, V. Convertito, A. Emolo, G. Festa, F. Gallovic, M. Vassallo, C. Martino, C. Satriano, P. Gasparini
Data: 2009
Numero di pagine: 6
Dipartimento: Scienze fisiche
Numero identificativo: 10.1029/2008GL036689
URL ufficiale: http://www.agu.org/pubs/crossref/2009/2008GL036689...
Data: 2009
Volume: 36
Intervallo di pagine: pp. 157-161
Numero di pagine: 6
Parole chiave: sismologia, early warning, rete ISNet
Numero identificativo: 10.1029/2008GL036689
Depositato il: 21 Ott 2010 06:57
Ultima modifica: 30 Apr 2014 19:43
URI: http://www.fedoa.unina.it/id/eprint/7532


We investigate the effect of extended faulting processes and heterogeneous wave propagation on the early warning system capability to predict the peak ground velocity (PGV) from moderate to large earthquakes occurring in the southern Apennines (Italy). Simulated time histories at the early warning network have been used to retrieve early estimates of source parameters and to predict the PGV, following an evolutionary, probabilistic approach. The system performance is measured through the Effective Lead-Time (ELT), i.e., the time interval between the arrival of the first S-wave and the time at which the probability to observe the true PGV value within one standard deviation becomes stationary, and the Probability of Prediction Error (PPE), which provides a measure of PGV prediction error. The regional maps of ELT and PPE show a significant variability around the fault up to large distances, thus indicating that the system's capability to accurately predict the observed peak ground motion strongly depends on distance and azimuth from the fault.

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