DocumentCode
1336675
Title
A novel strong-motion seismic network for community participation in earthquake monitoring
Author
Cochran, Elizabeth ; Lawrence, Jesse ; Christensen, Carl ; Chung, Angela
Author_Institution
Univ. of California, Riverside, CA, USA
Volume
12
Issue
6
fYear
2009
fDate
12/1/2009 12:00:00 AM
Firstpage
8
Lastpage
15
Abstract
The Quake-Catcher Network (QCN) is breaking new ground in seismology by combining new micro-electro-mechanical systems (MEMS) technology with volunteer seismic station distributed computing. Rather than distributing just computations, the QCN allows volunteers to participate in scientific data collection and computation. Using these innovative tools, QCN will increase the number of strong-motion observations for improved earthquake detection and analysis in California, and throughout the world. QCN´s increased density of seismic measurements will revolutionize seismology. The QCN, in concert with current seismic networks, may soon provide advanced alerts when earthquakes occur, estimate the response of a building to earthquakes even before they happen, and generate a greater understanding of earthquakes for scientists and the general public alike. Details of how one can join the QCN are outlined. In addition, we have activities on our website that can be used in K-16 classrooms to teach students basic seismology and physics concepts.
Keywords
earthquakes; education; geophysical equipment; geophysical techniques; geophysics computing; micromechanical devices; seismology; teaching; California; K-16 classroom activity; MEMS technology; Micro-Electro-Mechanical Systems; QCN; Quake-Catcher network; USA; data computation; download software; earthquake analysis; earthquake detection; earthquake monitoring; earthquake recording; physics concepts; scientific data collection; seismic measurements; strong-motion observations; strong-motion seismic network; students basic seismology teaching; volunteer seismic station distributed computing; Acceleration; Accelerometers; Computer networks; Costs; Distributed computing; Earthquakes; Hazards; Micromechanical devices; Monitoring; Network servers;
fLanguage
English
Journal_Title
Instrumentation & Measurement Magazine, IEEE
Publisher
ieee
ISSN
1094-6969
Type
jour
DOI
10.1109/MIM.2009.5338255
Filename
5338255
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