Design and implementation of a mobile device APP for network-based EEW systems: application to PRESTo EEWS in Southern Italy

2020 ◽  
Author(s):  
Simona Colombelli ◽  
Francesco Carotenuto ◽  
Luca Elia ◽  
Aldo Zollo
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Mobile App ◽  
Wide Audience ◽  
Ground Shaking ◽  
Earthquake Early Warning System ◽  
Operational Modes ◽  
The Ideal

<p><span>A fundamental feature of any Earthquake Early Warning System is the ability of rapidly broadcast earthquake information to a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the internet and represent the ideal tools for earthquake alerts dissemination, to inform a large number of users about the potential damaging shaking of an impending earthquake.</span></p><p><span>Here we present a mobile App (named ISNet EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in Southern Italy. In the absence of alerts, the EWApp displays the standard bulletin of seismic events occurred within the network. In the event of a relevant earthquake, instead, the app has a dedicated module to predict the expected ground shaking intensity and the available lead-time at the user position and to provide customized messages to inform the user about the proper reaction during the alert.</span></p><p><span>We first present the architecture of both network-based system and EWApp, and then and describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system.</span></p>

scholarly journals Design and implementation of a mobile device APP for network-based EEW systems: application to PRESTo EEWS in Southern Italy

2019 ◽  
Author(s):  
Simona Colombelli ◽  
Francesco Carotenuto ◽  
Luca Elia ◽  
Aldo Zollo
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Mobile App ◽  
Wide Audience ◽  
Ground Shaking ◽  
Earthquake Early Warning System ◽  
Operational Modes ◽  
The Ideal

Abstract. A fundamental feature of any Earthquake Early Warning System is the ability of rapidly broadcast earthquake information to a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the internet and represent the ideal tools for earthquake alerts dissemination, to inform a large number of users about the potential damaging shaking of an impending earthquake. Here we present a mobile App (named ISNet EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in Southern Italy. In the absence of alerts, the EWApp displays the standard bulletin of seismic events occurred within the network. In the event of a relevant earthquake, instead, the app has a dedicated module to predict the expected ground shaking intensity and the available lead-time at the user position and to provide customized messages to inform the user about the proper reaction during the alert. We first present the architecture of both network-based system and EWApp, and then and describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system.

scholarly journals Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy

2020 ◽  
Vol 20 (4) ◽  
pp. 921-931
Author(s):  
Simona Colombelli ◽  
Francesco Carotenuto ◽  
Luca Elia ◽  
Aldo Zollo
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Early Warning Systems ◽  
Mobile App ◽  
Earthquake Early Warning ◽  
Wide Audience ◽  
Ground Shaking ◽  
Earthquake Early Warning System

Abstract. A fundamental feature of any earthquake early warning system is the ability of rapidly broadcast earthquake information to reach a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the Internet and represent the ideal tools for earthquake alerts dissemination to inform a large number of users about the potential damaging shaking of an impending earthquake. Here we present a mobile app (named ISNet EWApp or simply EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EEWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in southern Italy. In the absence of alerts, EWApp displays the standard bulletin of seismic events that have occurred within the network. In the event of a relevant earthquake, the app has a dedicated module to predict the expected ground-shaking intensity and the available lead time at the user's position and to provide customized messages to inform the user about the proper reaction to adopt during the alert. We first present the architecture of both the network-based system and EWApp and then describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system.

Earthquake Early Warning System for Schools: A Feasibility Study in Southern Italy

2015 ◽  
Vol 86 (2A) ◽  
pp. 398-412 ◽  
Author(s):  
M. Picozzi ◽  
A. Emolo ◽  
C. Martino ◽  
A. Zollo ◽  
N. Miranda ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System

Earthquake Early Warning System in Southern Italy

2011 ◽  
pp. 175-201 ◽  
Author(s):  
Aldo Zollo ◽  
Giovanni Iannaccone ◽  
Vincenzo Convertito ◽  
Luca Elia ◽  
Iunio Iervolino ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System

Earthquake Early Warning System in Southern Italy

2009 ◽  
pp. 2395-2421 ◽  
Author(s):  
Aldo Zollo ◽  
Giovanni Iannaccone ◽  
Vincenzo Convertito ◽  
Luca Elia ◽  
Iunio Iervolino ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Southern Italy ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System

Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran

2019 ◽  
Author(s):  
Sahar Nazeri ◽  
Zaher Hossein Shomali
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Epicentral Distance ◽  
Time Windows ◽  
Warning System ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Ground Shaking ◽  
Earthquake Early Warning System ◽  
Tehran Region

ABSTRACT The estimation of epicentral distance is a critical step in earthquake early warning systems (EEWSs) that is necessary to characterize the level of expected ground shaking. In this study, two rapid methodologies, that is, B‐Δ and C‐Δ, are evaluated to estimate the epicentral distance for use in the EEWSs around the Tehran region. Traditionally, the B and C coefficients are computed using acceleration records, however, in this study, we utilize both acceleration and velocity waveforms for obtaining a suitable B‐Δ and C‐Δ relationships for the Tehran region. In comparison with observations from Japan, our measurements fall within the range of scatter. However, our results show a lower trend, which can strongly depend on the few numbers of events and range of magnitude (small‐to‐moderate) of earthquakes used in the current research. To improve our result, we include some large earthquakes from Iran, Italy, and Japan with magnitude larger than 5.9. Although the optimal trend is finally obtained by fitting a line to the distance‐averaged points, we conclude that the same trend and relationship as Japan can be used in Tehran early warning system. We also found that B and C parameters are strongly compatible to each other. As time windows of 3.0 and 0.5 s after the P onset are chosen respectively to compute the B and C values, so by selecting the C parameter as a proxy of B parameter to estimate the epicentral distance, we may save significant time in order of about 2.5 s in any earthquake early warning applications.

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