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CSN-LAUSD Network: A Dense Accelerometer Network in Los Angeles Schools

Clayton, Robert W. and Kohler, Monica and Guy, Richard and Bunn, Julian and Heaton, Thomas and Chandy, Mani (2020) CSN-LAUSD Network: A Dense Accelerometer Network in Los Angeles Schools. Seismological Research Letters, 91 (2A). pp. 622-630. ISSN 0895-0695. doi:10.1785/0220190200. https://resolver.caltech.edu/CaltechAUTHORS:20191115-160214215

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Abstract

The Community Seismic Network‐Los Angeles Unified School District is a network of 300 low‐cost microelectromechanical systems accelerometers located in schools in the Los Angeles, California, region. They are capable of accurately recording strong motion up to ±2g and are sufficiently spatially dense that they provide unaliased measurements of strong motions up to 1 Hz following a major earthquake. They are used to provide state‐of‐health monitoring for the schools and surrounding communities to guide the emergency response. As a research tool, they can be used to provide estimates of the site response at the schools and, therefore, provide a much denser set of site responses for ground‐motion prediction than is currently available.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1785/0220190200DOIArticle
ORCID:
AuthorORCID
Clayton, Robert W.0000-0003-3323-3508
Bunn, Julian0000-0002-3798-298X
Heaton, Thomas0000-0003-3363-2197
Additional Information:© 2019 Seismological Society of America. Published Online 13 November 2019. Data and Resources: Data from felt and interesting events are available at http://csn.caltech.edu/data/ along with the recordings of other Community Seismic Network (CSN) stations. In particular the data of the Ridgecrest earthquake shown in Figures 3, 5, 6, 7 and S1 are archived there. The continuous data from the CSN network are not generally released due to privacy concerns, but we are attempting to obtain permission for the Los Angeles Unified School District (LAUSD) stations. The VS30 measures in the region of LAUSD are available from https://earthquake.usgs.gov/data/vs30. The client software is available at https://github.com/jjbunn/PyCSN. More information on the CSN and CSN‐LAUSD networks is available at http://csn.caltech.edu (last accessed July 27, 2019). The Raspberry Shake network can be accessed at https://raspberryshake.org. Details on the Phidget sensor are available at https://www.phidgets.com/?&prodid=31. All websites were last accessed on July 2019. The supplemental material includes movies of ground accelerations due to the 6 July 2019 M7.1 Ridgecrest earthquake are shown in Figure S1. The time slices shown in Figure 6 are one panel from each of the videos. The data have been bandpass filtered from 100‐1 s and 100‐5 s. The movie starts at 60 s after the origin time and runs until 92 s. The authors thank the Betty and Gordon Moore Foundation, Caltech, the Conrad N. Hilton Foundation, and Computers and Structures, Inc., for funding for this project. The authors thank Los Angeles Unified School District (LAUSD), and in particular Jill Barnes, for facilitating this project, and the many volunteers who have helped build the Community Seismic Network (CSN) sensors. Charles Dorn and Filippos Filippitzis from Caltech created Figures 4 and 7, respectively.
Group:Seismological Laboratory
Funders:
Funding AgencyGrant Number
Gordon and Betty Moore FoundationUNSPECIFIED
CaltechUNSPECIFIED
Conrad N. Hilton FoundationUNSPECIFIED
Computers and Structures, Inc.UNSPECIFIED
Issue or Number:2A
DOI:10.1785/0220190200
Record Number:CaltechAUTHORS:20191115-160214215
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191115-160214215
Official Citation:Robert W. Clayton, Monica Kohler, Richard Guy, Julian Bunn, Thomas Heaton, Mani Chandy; CSN‐LAUSD Network: A Dense Accelerometer Network in Los Angeles Schools. Seismological Research Letters ; 91 (2A): 622–630. doi: https://doi.org/10.1785/0220190200
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99876
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Nov 2019 00:17
Last Modified:16 Nov 2021 17:49

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