Publication | Open Access
Crowdsourced earthquake early warning
122
Citations
29
References
2015
Year
EngineeringWarning SystemSmart CityWearable TechnologyDisaster DetectionHayward FaultEarly WarningData ScienceInternet Of ThingsM WEarthquake ForecastingEarthquake EngineeringComputer ScienceMobile ComputingEarly Warning SystemMobile SensingSeismologyHuman-computer InteractionTechnologyDisaster Risk Reduction
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.
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