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Title: 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.:
LANL (Los Alamos National Laboratory (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 = {2019},
month = {4}
}

Multimedia:

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