The technology could serve regions of the world that cannot afford higher quality, more expensive, conventional earthquake early warning systems, or could contribute to those systems, researchers said.
The study, led by scientists at the US Geological Survey (USGS), found that the sensors in smartphones and similar devices could be used to build earthquake warning systems.
Despite being less accurate than scientific-grade equipment, Global Positioning System (GPS) receivers in a smartphone can detect the permanent ground movement (displacement) caused by fault motion in a large earthquake.
"Crowdsourced alerting means that the community will benefit by data generated from the community," said Sarah Minson, USGS geophysicist and lead author of the study.
Earthquake early warning (EEW) systems detect the start of an earthquake and rapidly transmit warnings to people and automated systems before they experience shaking.
While much of the world's population is susceptible to damaging earthquakes, EEW systems are currently operating in only a few regions of the world, including Japan and Mexico.
Researchers tested the feasibility of crowdsourced EEW with a simulation of a hypothetical magnitude 7 earthquake, and with real data from the 2011 magnitude 9 Tohoku-oki, Japan earthquake.
For example, if phones from fewer than 5,000 people in a large metropolitan area responded, the earthquake could be detected and analysed fast enough to issue a warning to areas farther away before the onset of strong shaking.
"The speed of an electronic warning travels faster than the earthquake shaking does," said Craig Glennie, professor at the University of Houston.
The authors found that the sensors in smartphones and similar devices could be used to issue earthquake warnings for earthquakes of approximately magnitude 7 or larger, but not for smaller, yet potentially damaging earthquakes.
However, in many parts of the world where there are insufficient resources to build and maintain scientific networks, but consumer electronics are increasingly common, crowdsourced EEW has significant potential, researchers said.
The study was published in the journal Science Advances.
You’ve reached your limit of {{free_limit}} free articles this month.
Subscribe now for unlimited access.
Already subscribed? Log in
Subscribe to read the full story →
Smart Quarterly
₹900
3 Months
₹300/Month
Smart Essential
₹2,700
1 Year
₹225/Month
Super Saver
₹3,900
2 Years
₹162/Month
Renews automatically, cancel anytime
Here’s what’s included in our digital subscription plans
Exclusive premium stories online
Over 30 premium stories daily, handpicked by our editors


Complimentary Access to The New York Times
News, Games, Cooking, Audio, Wirecutter & The Athletic
Business Standard Epaper
Digital replica of our daily newspaper — with options to read, save, and share


Curated Newsletters
Insights on markets, finance, politics, tech, and more delivered to your inbox
Market Analysis & Investment Insights
In-depth market analysis & insights with access to The Smart Investor


Archives
Repository of articles and publications dating back to 1997
Ad-free Reading
Uninterrupted reading experience with no advertisements


Seamless Access Across All Devices
Access Business Standard across devices — mobile, tablet, or PC, via web or app
