The Red Atrapa Sismos (Quake-Catcher Network in Mexico): Assessing Performance during Large and Damaging Earthquakes
Abstract
The Quake‐Catcher Network (QCN) is an expanding seismic array made possible by thousands of participants who volunteered time and resources from their computers to record seismic data using low‐cost accelerometers (http://qcn.stanford.edu/; last accessed December 2014). Sensors based on Micro‐Electromechanical Systems (MEMS) technology have rapidly improved over the last few years due to the demand of the private sector (e.g., automobiles, cell phones, and laptops). For strong‐motion applications, low‐cost MEMS accelerometers have promising features due to an increasing resolution and near‐linear phase and amplitude response (Cochran, Lawrence, Christensen, and Jakka, 2009; Clayton et al., 2011; Evans et al., 2014). Each volunteer computer monitors ground motion and communicates using the Berkeley Open Infrastructure for Network Computing (BOINC, Anderson, 2004). Using a standard short‐term average, long‐term average (STLA) algorithm (Earle and Shearer, 1994; Cochran, Lawrence, Christensen, Chung, 2009; Cochran, Lawrence, Christensen, and Jakka, 2009), volunteer computer and sensor systems detect abrupt changes in the acceleration recordings. Each time a possible trigger signal is declared, a small package of information containing sensor and ground‐motion information is streamed to one of the QCN servers (Chung et al., 2011). Trigger signals, correlated in space and time, are then processed by the QCN server to look for potential earthquakes.
Additional Information
© 2015 Seismological Society of America. Published Online 11 March 2015. The authors would like to thank Susan Hough, Rob Graves, Raul Valenzuela Wong, and an anonymous reviewer for their valuable comments and suggestions that significantly improved the manuscript. Furthermore, we want to thank dozens of volunteers and students that participate in the Quake‐Catcher Network (QCN) program in Mexico for their support and invaluable assistance. Installation and maintenance of the array was funded by the Grants PAPIIT IB101312‐2, UC MEXUS‐CONACYT CN‐09‐315, and NSF EAR‐1027802.Attached Files
Published - 848.pdf
Files
Name | Size | Download all |
---|---|---|
md5:f955ca0f1b56e8b7d2af75eaf0990de9
|
2.2 MB | Preview Download |
Additional details
- Eprint ID
- 109181
- Resolver ID
- CaltechAUTHORS:20210518-133755918
- Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT)
- IB101312‐2
- University of California Institute for Mexico and the United States (UC MEXUS)
- Consejo Nacional de Ciencia y Tecnología (CONACYT)
- CN‐09‐315
- NSF
- EAR‐1027802
- Created
-
2021-05-19Created from EPrint's datestamp field
- Updated
-
2021-05-19Created from EPrint's last_modified field