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

Colombelli, Simona; Carotenuto, Francesco; Elia, Luca; Zollo, Aldo

doi:https://doi.org/10.5194/nhess-20-921-2020

Articles | Volume 20, issue 4

https://doi.org/10.5194/nhess-20-921-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-921-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 4

Research article

|

03 Apr 2020

Research article |

| 03 Apr 2020

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

Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo

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Final revised paper (published on 03 Apr 2020)
Supplement to the final revised paper
Preprint (discussion started on 27 Aug 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review for this paper', Anonymous Referee #1, 18 Sep 2019
- AC1: 'Response to Anonymous Referee #1 and Anonymous Referee #2', Simona Colombelli, 26 Nov 2019
RC2: 'Review for this paper', Anonymous Referee #2, 11 Oct 2019
- AC1: 'Response to Anonymous Referee #1 and Anonymous Referee #2', Simona Colombelli, 26 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (16 Dec 2019) by Thomas Glade

AR by Simona Colombelli on behalf of the Authors (07 Jan 2020) Author's response Manuscript

ED: Publish as is (06 Mar 2020) by Thomas Glade

AR by Simona Colombelli on behalf of the Authors (09 Mar 2020)

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Short summary

We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.