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Crowdsourcing triggers rapid, reliable earthquake locations
Robert J Steed1, Amaya Fuenzalida1, Rémy Bossu1,2
1European-Mediterranean Seismological Centre, c/o CEA, 91297 Arpajon, Cedex, France.
Science Advances
|April 6, 2019
Summary
Crowdsourced data from websites and apps can rapidly detect earthquakes, significantly speeding up the publication of seismic locations. This approach enhances earthquake detection speed and accuracy globally.
Area of Science:
- * Seismology and earthquake early warning systems.
- * Computational seismology and data science applications.
Background:
- * Traditional seismic location publication can take several minutes after an earthquake.
- * Rapid dissemination of earthquake information is crucial for public safety and response.
Purpose of the Study:
- * To investigate the efficacy of using crowdsourced data to accelerate earthquake location publication.
- * To reduce the time lag between an earthquake event and the online availability of its location.
Main Methods:
- * Monitoring for increased website, app, or social media (Twitter) usage as an indicator of seismic activity.
- * Using crowdsourced detections to "seed" searches within seismic data, reducing false positives.
- * Retroactive testing of the system on real crowdsourced earthquake detections from 2016-2017.
Main Results:
- * 50% of successful earthquake locations were found within 103 seconds.
- * This represents a significant speed improvement: 76 seconds faster than GEOFON and 271 seconds faster than the European-Mediterranean Seismological Centre.
- * 90% of successful locations were determined within 54 km of the final accepted epicenter.
Conclusions:
- * Crowdsourced detection of seismic activity offers a reliable and rapid method for earthquake location.
- * This low-cost approach is effective on a global scale.
- * The system significantly accelerates the publication of locations for felt earthquakes.
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