CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California

To demonstrate the feasibility of earthquake early warning (EEW) in California, we have developed and implemented the CISN ShakeAlert demonstration system. A Decision Module combines estimates and uncertainties determined by three algorithms implemented in parallel, \(\tau _\mathrm{{c}}-\mathrm{{P}}_\mathrm{{d}}\) Onsite, Virtual Seismologist, and ElarmS, to calculate and report at a given time the most probable earthquake magnitude and location, as well as the likelihood of correct alarm. A User Display receives the alert messages in real-time, calculates the expected local shaking intensity, and displays the information on a map. Currently, CISN ShakeAlert is being tested by \(\sim \)70 individuals and test users from industries and emergency response organizations in California. During the next 3 years we plan to expand this demonstration warning system to the entire US West Coast.

[1]  Andreas Krause,et al.  The next big one: Detecting earthquakes and other rare events from community-based sensors , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[2]  James L. Beck,et al.  An Automated Decision-making System Framework for Earthquake Early Warning System Applications , 2011 .

[3]  Thomas H. Heaton,et al.  TriNet “ShakeMaps”: Rapid Generation of Peak Ground Motion and Intensity Maps for Earthquakes in Southern California , 1999 .

[4]  Naoshi Hirata,et al.  Overview of the first earthquake forecast testing experiment in Japan , 2011 .

[5]  Thomas H. Heaton,et al.  A New Trigger Criterion for Improved Real-Time Performance of Onsite Earthquake Early Warning in Southern California , 2009 .

[6]  T. Heaton,et al.  Probabilistic prediction of rupture length, slip and seismic ground motions for an ongoing rupture: implications for early warning for large earthquakes , 2010 .

[7]  Thomas H. Heaton,et al.  Real‐time testing of the on‐site warning algorithm in southern California and its performance during the July 29 2008 Mw5.4 Chino Hills earthquake , 2009 .

[8]  Thomas H. Heaton,et al.  CISN ShakeAlert: The Decision Module for Earthquake Alerts , 2010 .

[9]  Danijel Schorlemmer,et al.  Setting up an earthquake forecast experiment in Italy , 2010 .

[10]  T. Heaton,et al.  A Model for a Seismic Computerized Alert Network , 1985, Science.

[11]  Thomas H. Heaton,et al.  CISN ShakeAlert: Development of a Prototype User Display for Providing Earthquake Alerts to End Users , 2010 .

[12]  Roger D. Borcherdt,et al.  Estimates of Site-Dependent Response Spectra for Design (Methodology and Justification) , 1994 .

[13]  Richard M. Allen,et al.  Toward earthquake early warning in northern California , 2006 .

[14]  Thomas H. Heaton,et al.  Rapid Estimation of Earthquake Source and Ground-Motion Parameters for Earthquake Early Warning Using Data from a Single Three- Component Broadband or Strong-Motion Sensor , 2012 .

[15]  R. V. Allen,et al.  Automatic earthquake recognition and timing from single traces , 1978, Bulletin of the Seismological Society of America.

[16]  Y. Fujinawa,et al.  An Automatic Processing System for Broadcasting Earthquake Alarms , 2005 .

[17]  Matthew C. Gerstenberger,et al.  New Zealand Earthquake Forecast Testing Centre , 2010 .

[18]  Thomas H. Heaton,et al.  CISN ShakeAlert: Accounting for site amplification effects and quantifying time and spatial dependence of uncertainty estimates in the Virtual Seismologist earthquake early warning algorithm , 2011 .

[19]  Danijel Schorlemmer,et al.  The Collaboratory for the Study of Earthquake Predictability perspective on computational earthquake science , 2010, Concurr. Comput. Pract. Exp..

[20]  T. Jordan Earthquake Predictability, Brick by Brick , 2006 .

[21]  P. J. Maechling,et al.  Development of ShakeAlert Performance Evaluation Software , 2011 .

[22]  Richard M. Allen,et al.  Determination of earthquake early warning parameters, τ c and Pd, for southern California , 2007 .

[23]  S. Wiemer,et al.  Real-time Performance of the Virtual Seismologist Earthquake Early Warning Algorithm in Southern California , 2009 .

[24]  H. Kanamori,et al.  The Potential for Earthquake Early Warning in Southern California , 2003, Science.

[25]  R. Allen,et al.  Real‐time earthquake detection and hazard assessment by ElarmS across California , 2009 .

[26]  Thomas H. Heaton,et al.  Real-time Finite Fault Rupture Detector (FinDer) for large earthquakes , 2012 .

[27]  G. Cua Creating the virtual seismologist: Developments in ground motion characterization and seismic early warning , 2005 .

[28]  Gaetano Manfredi,et al.  Earthquake Early Warning Systems , 2010 .

[29]  Thomas H. Heaton,et al.  Multiple-Threshold Event Detection and Other Enhancements to the Virtual Seismologist (VS) Earthquake Early Warning Algorithm , 2009 .

[30]  Richard M. Allen,et al.  Development of the ElarmS methodology for earthquake early warning: Realtime application in California and offline testing in Japan , 2011 .

[31]  Egill Hauksson,et al.  Modernization of the Caltech/USGS Southern California Seismic Network , 2009 .

[32]  Richard M. Allen,et al.  Application of real‐time GPS to earthquake early warning , 2011 .

[33]  Thomas H. Heaton,et al.  The Virtual Seismologist (VS) Method: a Bayesian Approach to Earthquake Early Warning , 2007 .

[34]  Hiroo Kanamori,et al.  Real-Time Seismology and Earthquake Damage Mitigation , 2005 .

[35]  Richard M. Allen,et al.  The ElarmS Earthquake Early Warning Methodology and Application across California , 2007 .

[36]  Anthony Lomax,et al.  Optimal, Real-time Earthquake Location for Early Warning , 2007 .