Title |
Crowdsourced earthquake early warning
|
---|---|
Published in |
Science Advances, April 2015
|
DOI | 10.1126/sciadv.1500036 |
Pubmed ID | |
Authors |
Sarah E. Minson, Benjamin A. Brooks, Craig L. Glennie, Jessica R. Murray, John O. Langbein, Susan E. Owen, Thomas H. Heaton, Robert A. Iannucci, Darren L. Hauser |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 23% |
France | 7 | 8% |
United Kingdom | 5 | 6% |
Singapore | 2 | 2% |
Canada | 2 | 2% |
Mexico | 2 | 2% |
Japan | 2 | 2% |
India | 2 | 2% |
Hong Kong | 1 | 1% |
Other | 10 | 12% |
Unknown | 32 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 70 | 83% |
Scientists | 12 | 14% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Israel | 1 | <1% |
Brazil | 1 | <1% |
Greece | 1 | <1% |
Spain | 1 | <1% |
Unknown | 145 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 23% |
Researcher | 30 | 20% |
Student > Master | 22 | 15% |
Student > Bachelor | 11 | 7% |
Student > Doctoral Student | 9 | 6% |
Other | 19 | 13% |
Unknown | 25 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 46 | 30% |
Engineering | 23 | 15% |
Computer Science | 21 | 14% |
Environmental Science | 7 | 5% |
Social Sciences | 6 | 4% |
Other | 15 | 10% |
Unknown | 33 | 22% |