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PRESTo, the earthquake early warning system for Southern Italy: Concepts, capabilities and future perspectives
Author(s)
Language
English
Obiettivo Specifico
4.1. Metodologie sismologiche per l'ingegneria sismica
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
/31 (2011)
Publisher
Elsevier Ltd.
Pages (printed)
137-153
Issued date
2011
Abstract
PRESTo (PRobabilistic and Evolutionary early warning SysTem) is a software platform for regional earthquake early warning that integrates recently developed algorithms for real-time earthquake location and magnitude estimation into a highly configurable and easily portable package. The system is under active experimentation in Southern Italy on the Irpinia Seismic Network (ISNet), which is deployed in a seismogenic area that is expected to produce a large earthquake within the next 20 years.
In this paper we describe the architecture of the system and test its performances using both small earthquakes (M<3) recorded at the ISNet, and a large event recorded in Japan, through a simulation mode. The results show that, when a dense seismic network is deployed in the fault area, PRESTo can produce reliable estimates of earthquake location and size within 5-6 seconds from the event origin. Each estimate is provided as a probability density function, with an uncertainty that typically decreases with time: a stable solution is generally reached within 10 seconds from the origin.
Thanks to its fully probabilistic approach, PRESTo can be a powerful tool for end-users in addressing the trade-off problem of whether and when to init safety measures.
The software makes use of widespread standards for real-time data input and output, and can be finely tuned to easily adapt it to different networks and seismogenic regions.
In this paper we describe the architecture of the system and test its performances using both small earthquakes (M<3) recorded at the ISNet, and a large event recorded in Japan, through a simulation mode. The results show that, when a dense seismic network is deployed in the fault area, PRESTo can produce reliable estimates of earthquake location and size within 5-6 seconds from the event origin. Each estimate is provided as a probability density function, with an uncertainty that typically decreases with time: a stable solution is generally reached within 10 seconds from the origin.
Thanks to its fully probabilistic approach, PRESTo can be a powerful tool for end-users in addressing the trade-off problem of whether and when to init safety measures.
The software makes use of widespread standards for real-time data input and output, and can be finely tuned to easily adapt it to different networks and seismogenic regions.
Type
article
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