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Crowdsourced Earthquake Early Warning
Science Advances (2015)
  • Sarah E Minson, US Geological Survey
  • Benjamin A Brooks, US Geological Survey
  • Craig L Glennie
  • Jessica R Murray, US Geological Survey
  • John O Langbein, US Geological Survey
  • Susan E Owen
  • Thomas H Heaton, California Institute of Technology
  • Robert A Iannucci, Carnegie Mellon University
  • Darren L Hauser
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 Mw (moment magnitude) 7 earthquake on California’s Hayward fault, and real data from the Mw 9 Tohoku-oki earthquake, we demonstrate that EEW could be achieved via crowdsourcing.
Publication Date
April, 2015
Citation Information
Sarah E Minson, Benjamin A Brooks, Craig L Glennie, Jessica R Murray, et al.. "Crowdsourced Earthquake Early Warning" Science Advances (2015)
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