Comparison between low-cost and traditional MEMS accelerometers: a case study from the M7.1 Darfield, New Zealand, aftershock deployment

Recent advances in micro-electro-mechanical systems (MEMS) sensing and distributed computing techniques have enabled the development of low-cost, rapidly deployed dense seismic networks. The Quake-Catcher Network (QCN) uses triaxial MEMS accelerometers installed in homes and businesses to record moderate to large earthquakes. Real-time accelerations are monitored and information is transferred to a central server using open-source, distributed computing software installed on participating computers. Following the September 3, 2010, M w 7.1 Darfield, New Zealand, earthquake, 192 QCN stations were installed in a dense array in the city of Christchurch and the surrounding region to record the on-going aftershock sequence. Here, we compare the ground motions recorded by QCN accelerometers with GeoNet strong-motion instruments to verify whether low-cost MEMS accelerometers can provide reliable ground-motion information in network-scale deployments. We find that observed PGA and PGV amplitudes and RMS scatter are comparable between the GeoNet and QCN observations. Closely spaced stations provide similar acceleration, velocity, and displacement time series and computed response spectra are also highly correlated, with correlation coefficients above 0.94.

[1]  Paul C. Jennings,et al.  Digital calculation of response spectra from strong-motion earthquake records , 1969 .

[2]  Kenneth W. Campbell,et al.  Near-source attenuation of peak horizontal acceleration , 1981 .

[3]  David L. Mills,et al.  On the Accuracy and Stablility of Clocks Synchronized by the Network Time Protocol in the Internet System , 1989, CCRV.

[4]  Susan E. Hough,et al.  The Variability of PSV Response Spectra across a Dense Array Deployed during the Northridge Aftershock Sequence , 1997 .

[5]  Hiroo Kanamori,et al.  Real-time seismology and earthquake hazard mitigation , 1997, Nature.

[6]  Walter H. F. Smith,et al.  New, improved version of generic mapping tools released , 1998 .

[7]  Tzay-Chyn Shin,et al.  Quick and reliable determination of magnitude for seismic early warning , 1998, Bulletin of the Seismological Society of America.

[8]  Thomas H. Heaton,et al.  Relationships between Peak Ground Acceleration, Peak Ground Velocity, and Modified Mercalli Intensity in California , 1999 .

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

[10]  Austin A. Holland,et al.  Earthquake Data Recorded by the MEMS Accelerometer: Field Testing in Idaho , 2003 .

[11]  Thomas J. Owens,et al.  Evaluating the Network Time Protocol (NTP) for Timing in the South Carolina Earth Physics Project (SCEPP) , 2003 .

[12]  Nai-Chi Hsiao,et al.  Relationship between Peak Ground Acceleration, Peak Ground Velocity, and Intensity in Taiwan , 2003 .

[13]  Peter Goldstein,et al.  85.5 SAC2000: Signal processing and analysis tools for seismologists and engineers , 2003 .

[14]  Nai-Chi Hsiao,et al.  Relationships between Strong Ground Motion Peak Values and Seismic Loss during the 1999 Chi-Chi, Taiwan Earthquake , 2004 .

[15]  David P. Anderson,et al.  BOINC: a system for public-resource computing and storage , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.

[16]  John R. Evans,et al.  TREMOR: A Wireless MEMS Accelerograph for Dense Arrays , 2005 .

[17]  P Goldstein,et al.  SAC Availability for the IRIS Community , 2005 .

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

[19]  K. Campbell,et al.  NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s , 2008 .

[20]  Robert R. Stewart,et al.  Field data comparisons of MEMS accelerometers and analog geophones , 2008 .

[21]  Ming Zhao,et al.  A new MEMS accelerometer applied in civil engineering and its calibration test , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

[22]  Can Zulfikar,et al.  The Self-organizing Seismic Early Warning Information Network (SOSEWIN) , 2009 .

[23]  E. Cochran,et al.  A novel strong-motion seismic network for community participation in earthquake monitoring , 2009, IEEE Instrumentation & Measurement Magazine.

[24]  Elizabeth S. Cochran,et al.  The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons , 2009 .

[25]  C. Milkereit,et al.  Wireless technologies for the monitoring of strategic civil infrastructures: an ambient vibration test on the Fatih Sultan Mehmet Suspension Bridge in Istanbul, Turkey , 2010 .

[26]  E. Cochran,et al.  The Quake-Catcher Network Rapid Aftershock Mobilization Program Following the 2010 M 8.8 Maule, Chile Earthquake , 2011 .

[27]  Caroline Holden,et al.  The Darfield (Canterbury, New Zealand) Mw 7.1 Earthquake of September 2010: A Preliminary Seismological Report , 2011 .