Data mining digs up hidden clues to major California earthquake triggers
Abstract
A powerful computational study of southern California identified 10 times more earthquakes occurred, and 10 times more frequently than previously measured. Researchers were able to detect, understand, and locate quakes more precisely, and they created the most comprehensive earthquake catalog to date. The big data analysis of the entire region also revealed new information, such as triggering mechanisms and hidden foreshocks, which may help predict larger quakes.
- Authors:
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1570698
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES; COMPUTATIONAL STUDY; EARTHQUAKES; FAULT SYSTEMS; PATTERNS; TEMPLATE MATCHING; SEISMOLOGY
Citation Formats
Trugman, Daniel. Data mining digs up hidden clues to major California earthquake triggers. United States: N. p., 2019.
Web.
Trugman, Daniel. Data mining digs up hidden clues to major California earthquake triggers. United States.
Trugman, Daniel. Thu .
"Data mining digs up hidden clues to major California earthquake triggers". United States. https://www.osti.gov/servlets/purl/1570698.
@article{osti_1570698,
title = {Data mining digs up hidden clues to major California earthquake triggers},
author = {Trugman, Daniel},
abstractNote = {A powerful computational study of southern California identified 10 times more earthquakes occurred, and 10 times more frequently than previously measured. Researchers were able to detect, understand, and locate quakes more precisely, and they created the most comprehensive earthquake catalog to date. The big data analysis of the entire region also revealed new information, such as triggering mechanisms and hidden foreshocks, which may help predict larger quakes.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Apr 18 00:00:00 EDT 2019},
month = {Thu Apr 18 00:00:00 EDT 2019}
}