SLIDE 1 The Quake-Catcher Network:
A Distributed Computing Seismic Network
Jesse F. Lawrence
Stanford University Carl Christensen
Stanford University
Jenny Saltzman
Stanford University
Ravi Jakka
UC Riverside
Corrie Neighbors
UC Riverside
Elizabeth S. Cochran
UC Riverside
Project website: qcn.stanford.edu
SLIDE 2 The Quake-Catcher Network
computers with internal or USB- connected accelerometers for rapid earthquake detection.
- The Method: We use distributed
computing to monitor sensors internal or connected to computers when they are not
SLIDE 3
Distributed vs. Parallel Computing
Distributed Computing: Parallel Computing:
SLIDE 4
Demo - Laptop Accelerometer
SLIDE 5
Challenges:
Location: always changing Noise: Man-Made Timing: NTP
SLIDE 6 Earthquake Detection
detection when the QCN receives many triggers from a region
bumping their laptops
– only strong vibrations will be detected – Only large earthquakes will cause consistent triggers across a region of the network
SLIDE 7
Current Network
Global Participants Earthquake Locations
SLIDE 8 Los Angeles Participants
USB sensors at San Jacinto High School
SLIDE 9
Reno Earthquakes Captured!
SLIDE 10
LA/Chino Earthquake Captured!
SLIDE 11 Desktop Network
computer can be turned into a strong motion seismometer with QCN software
– Schools can use the software to educate students about earthquake & seismology – School sensors can be distributed evenly with population Subset of K-12 schools in LA Basin
USB Sensors Available! $5 for teachers
SLIDE 12
Educational Outreach
What we provide:
– Classroom Demo software. – Seismology related in-class activities. – Classroom USB Sensor. – Classroom BOINC Software.
Request Sensors at: qcn.stanford.edu
SLIDE 13 Science Benefit
- Shake Maps
- Buildings
- Rupture
- Structure
SLIDE 14
Eventual Goal: Earthquake Early Warning
M 7.2 (August 16, 2005) M 5.6 (October 30, 2007)
Honshu, Japan Alum Rock, California
SLIDE 15 Conclusions
- Distributed computing could be a hugely beneficial
to seismology & other data-centered fields
– Rapid earthquake detection techniques – Monitor all types of sensors, easily scalable
- Potential for Earthquake Early Warning Application!
- Great education and outreach opportunities!
More information @ http://qcn.stanford.edu