S11A-4336:
Community Seismic Network

Monday, 15 December 2014
Robert W Clayton, Monica D Kohler, Anthony Massari, Thomas H Heaton, Richard Guy, Mani Chandy, Julian Bunn and Leif Strand, California Institute of Technology, Pasadena, CA, United States
Abstract:
The CSN is now in its 3rdyear of operation and has expanded to 400 stations in the Los Angeles region. The goal of the network is to produce a map of strong shaking immediately following a major earthquake as a proxy for damage and a guide for first responders. We have also instrumented a number of buildings with the goal of determining the state of health of these structures before and after they have been shaken. In one 15-story structure, our sensors distributed two per floor, and show body waves propagating in the structure after a moderate local earthquake (M4.4 in Encino, CA). Sensors in a 52-story structure, which we plan to instrument with two sensors per floor as well, show the modes of the building (see Figure) down to the fundamental mode at 5 sec due to a M5.1 earthquake in La Habra, CA.

The CSN utilizes a number of technologies that will likely be important in building robust low-cost networks. These include:

  • Distributed computing – the sensors themselves are smart-sensors that perform the basic detection and size estimation in the onboard computers and send the results immediately (without packetization latency) to the central facility.
  • Cloud computing – the central facility is housed in the cloud, which means it is more robust than a local site, and has expandable computing resources available so that it can operate with minimal resources during quiet times but still be able to exploit an very large computing facility during an earthquake.
  • Low-cost/low-maintenance sensors – the MEM sensors are capable of staying onscale to +/- 2g, and can measure events in the Los Angeles Basin a low as magnitude 3.