PRESTo, the earthquake early warning system for Southern Italy: Concepts, capabilities and future perspectives
PRESTo, the earthquake early warning system for Southern Italy: Concepts, capabilities and future perspectives
复制标题
DOI：
10.1016/j.soildyn.2010.06.008
复制
发表时间：
2011-02-01
影响因子：
4
通讯作者：
Iannaccone, Giovanni
中科院分区：
文献类型：
--
作者：
Satriano, Claudio;Elia, Luca;Iannaccone, Giovanni
PRESTo（PRobobasting and Evolutionary early warning SysTem）是一个用于区域地震预警的软件平台，它将最近开发的用于实时地震定位和震级估计的算法集成到一个高度可配置和易于便携的软件包中。该系统正在意大利南部的Irpinia地震网上进行积极试验，该地震网部署在一个地震多发区，预计在今后20年内将发生一次大地震。在本文中，我们描述了该系统的体系结构，并测试其性能使用小地震（M< 3.5）记录在ISNet和大事件记录在日本，通过模拟模式。结果表明，当在断层区部署密集的地震台网时，PRESTo可以在距事件起源5-6 s内产生可靠的地震位置和大小估计。每个估计值作为概率密度函数提供，其不确定性通常随时间而减小：通常在10 s内从原点到达稳定的解决方案。由于其完全概率的方法，PRESTo可以成为最终用户解决是否以及何时启动安全措施的权衡问题的强大工具。该软件使用广泛的实时数据输入和输出标准，并且可以进行微调以容易地使其适应不同的网络和地震孕育区域。(C)2010爱思唯尔有限公司版权所有。
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< 3.5) 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 s 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 s 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 initiate 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. (C) 2010 Elsevier Ltd. All rights reserved.