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Sci Adv. 2015 Apr 10;1(3):e1500036. doi: 10.1126/sciadv.1500036. eCollection 2015 Apr.

Crowdsourced earthquake early warning.

Author information

1
U.S. Geological Survey, Menlo Park, CA 94025, USA. ; California Institute of Technology, Pasadena, CA 91106, USA.
2
U.S. Geological Survey, Menlo Park, CA 94025, USA.
3
National Center for Airborne Laser Mapping, University of Houston, Houston, TX 77204, USA.
4
Jet Propulsion Laboratory, La Cañada Flintridge, Pasadena, CA 91109, USA.
5
California Institute of Technology, Pasadena, CA 91106, USA.
6
Carnegie Mellon University-Silicon Valley, Moffett Field, CA 94035, USA.

Abstract

Earthquake early warning (EEW) can reduce harm to people and infrastructure from earthquakes and tsunamis, but it has not been implemented in most high earthquake-risk regions because of prohibitive cost. Common consumer devices such as smartphones contain low-cost versions of the sensors used in EEW. Although less accurate than scientific-grade instruments, these sensors are globally ubiquitous. Through controlled tests of consumer devices, simulation of an M w (moment magnitude) 7 earthquake on California's Hayward fault, and real data from the M w 9 Tohoku-oki earthquake, we demonstrate that EEW could be achieved via crowdsourcing.

KEYWORDS:

Crowd-Sourcing; Earthquake Early Warning; Earthquakes; Geodesy; Natural Disasters; Seismology; Tsunami

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