This study investigates the basic properties of the recent shallow seismicity in Italy, through stochastic modeling and statistical methods. Assuming that earthquakes are the realization of a stochastic point process, we have modeled the occurrence rate density in space, time and magnitude using an epidemic-type aftershock sequence model. By applying the maximum likelihood procedure, we estimated the parameters of the model that best fit the Italian instrumental catalog, as recorded by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) from April 16, 2005, to June 1, 2009. Then we applied the estimated model to a second independent dataset (June 1, 2009, to September 1, 2009). We show that the model performed well on this second database, through the relevant statistical tests. The model proposed in the present study is suitable for computing earthquake occurrence probability in real time, and to take part in international initiatives such as the Collaboratory Study for Earthquake Predictability, where we have submitted this model for daily forecasting of Italian seismicity for ML>4.0. © 2010 by the Istituto Nazionale di Geofisica e Vulcanologia.

The ETAS model for daily forecasting of italian seismicity in the CSEP experiment

Marzocchi, W.
2010

Abstract

This study investigates the basic properties of the recent shallow seismicity in Italy, through stochastic modeling and statistical methods. Assuming that earthquakes are the realization of a stochastic point process, we have modeled the occurrence rate density in space, time and magnitude using an epidemic-type aftershock sequence model. By applying the maximum likelihood procedure, we estimated the parameters of the model that best fit the Italian instrumental catalog, as recorded by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) from April 16, 2005, to June 1, 2009. Then we applied the estimated model to a second independent dataset (June 1, 2009, to September 1, 2009). We show that the model performed well on this second database, through the relevant statistical tests. The model proposed in the present study is suitable for computing earthquake occurrence probability in real time, and to take part in international initiatives such as the Collaboratory Study for Earthquake Predictability, where we have submitted this model for daily forecasting of Italian seismicity for ML>4.0. © 2010 by the Istituto Nazionale di Geofisica e Vulcanologia.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/742723
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