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Published September 2021 | Submitted + Published + Accepted Version + Supplemental Material
Journal Article Open

Robust Earthquake Early Warning at a Fraction of the Cost: ASTUTI Costa Rica

Abstract

We show that a fixed smartphone network can provide robust Earthquake Early Warning for at least two orders of magnitude less cost than scientific-grade networks. Our software and cloud-based data architecture that we have constructed for the Alerta Sismica Temprana Utilizando Teléfonos Inteligentes (ASTUTI; Earthquake Early Warning Utilizing Smartphones) network in Costa Rica is easily scaled and exported. Implementation comprises provisioning and installing modern smartphones in judicious locations. Stand-up time for regionally operational networks can be on the order of days. We evaluated a non-parametric ground-motion detection and alerting strategy that would alert the entire Costa Rican population of any event with a ground motion detection threshold of 0.55–0.65 %g at four neighboring stations. During a 6-month evaluation period ASTUTI detected and alerted on five of 13 earthquakes with M_w 4.8–5.3 that caused felt Modified Mercalli Intensity shaking levels of 4.3–6. The system did not produce any false alerts and the undetected events did not produce wide-spread or significant felt shaking. System latencies were less than or similar to scientific-grade latencies. Alerts for all five detected events would have reached the capital city, San Jose, before strong S-wave shaking. This would have afforded time for Drop Cover Hold On actions by most residents. Two of the five alerts were triggered by P-waves suggesting that smartphone-based networks could approach the fastest theoretical EEW performance, especially with future expected improvements in smartphone sensors and processing algorithms.

Additional Information

© 2021. The Authors. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Issue Online: 08 July 2021; Version of Record online: 08 July 2021; Manuscript accepted: 24 May 2021; Manuscript revised: 12 May 2021; Manuscript received: 09 February 2021. We gratefully acknowledge USAID Bureau of Humanitarian Assistance for funding and especially Gari Mayberry for her oversight of this work since its inception. We thank Jeff McGuire, Annemarie Baltay, and Evelyn Roeloffs for earlier reviews of this manuscript and Chris Guillemot, Sarah McBride, David Wald, and Paul Earle for very interesting and helpful discussions. We thank the Associate Editor and 3 journal reviewers, in particular Dr. Gerardo Suarez, for their comments and suggestions which certainly improved the paper. The authors declare no conflicts of interest relevant to this study. Data Availability Statement: Data supporting the conclusions in this paper may be obtained at: http://ds.iris.edu/ds/nodes/dmc/forms/assembled-data/. Assembled data set number: 21-004; short name: ASTUTI.

Attached Files

Published - 2021AV000407.pdf

Accepted Version - 2021av000407-sup-0005-second_revision_of_manuscript__accepted_-s05.pdf

Submitted - 2021av000407-sup-0002-original_version_of_manuscript_si-s02.pdf

Submitted - 2021av000407-sup-0004-first_revision_of_manuscript_si-s04.pdf

Supplemental Material - 2021av000407-sup-0001-supporting_information_si-s01.docx

Supplemental Material - 2021av000407-sup-0003-peer_review_history_si-s03.pdf

Supplemental Material - 2021av000407-sup-0006-authors_response_to_peer_review_comments_si-s06.pdf

Files

2021av000407-sup-0002-original_version_of_manuscript_si-s02.pdf

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023