We present an approach to Earthquake Early Warning for Southern Italy that integrates regional and on-site systems. The regional approach is based on the PRobabilistic and Evolutionary early warning SysTem (PRESTo) software platform. PRESTo processes 3-components acceleration data streams and provides a peak ground-motion prediction at target sites based on earthquake location and magnitude computed from P-wave analysis at few stations in the source vicinity. On the other hand, the on-site system is based on the real-time measurement of peak displacement and dominant period, on a 3 s P-wave time-window. These values are compared to thresholds, set for a minimum magnitude 6 and instrumental intensity VII, derived from empirical regression analyses on strong-motion data. Here we present an overview of the system and describe the algorithms implemented in the PRESTo platform.We also show some case-studies and propose a robust methodology to evaluate the performance of this Early Warning System.
An integrated regional and on-site Earthquake Early Warning System for Southern Italy: concepts, methodologies and performances / Zollo, Aldo; Colombelli, S.; Elia, L.; Emolo, Antonio; Festa, Gaetano; Iannaccone, G.; Martino, C.; Gasparini, P.. - (2014), pp. 117-137. [10.1007/978-3-642-12233-0_7]
An integrated regional and on-site Earthquake Early Warning System for Southern Italy: concepts, methodologies and performances
ZOLLO, ALDO;S. Colombelli;EMOLO, ANTONIO;FESTA, GAETANO;
2014
Abstract
We present an approach to Earthquake Early Warning for Southern Italy that integrates regional and on-site systems. The regional approach is based on the PRobabilistic and Evolutionary early warning SysTem (PRESTo) software platform. PRESTo processes 3-components acceleration data streams and provides a peak ground-motion prediction at target sites based on earthquake location and magnitude computed from P-wave analysis at few stations in the source vicinity. On the other hand, the on-site system is based on the real-time measurement of peak displacement and dominant period, on a 3 s P-wave time-window. These values are compared to thresholds, set for a minimum magnitude 6 and instrumental intensity VII, derived from empirical regression analyses on strong-motion data. Here we present an overview of the system and describe the algorithms implemented in the PRESTo platform.We also show some case-studies and propose a robust methodology to evaluate the performance of this Early Warning System.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.