Ground-motion networks in the Groningen field: usability and consistency of surface recordings
File(s)Ntinalexis2019_Article_Ground-motionNetworksInTheGron.pdf (3.89 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Several strong-motion networks have been installed in the Groningen gas field in the Netherlands to record ground motions associated with induced earthquakes. There are now more than 450 permanent surface accelerographs plus a mobile array of 450 instruments, which, in addition to many instrumented boreholes, yield a wealth of data. The database of recordings has been of fundamental importance to the development of ground-motion models that form a key element of the seismic hazard and risk estimations for the field. In order to maximise the benefit that can be derived from these recordings, this study evaluates the usability of the recordings from the different networks, in general terms and specifically with regards to the frequency ranges with acceptable signal-to-noise ratios. The study also explores the consistency among the recordings from the different networks, highlighting in particular how a configuration error was identified and resolved. The largest accelerograph network consists of instruments housed in buildings around the field, frequently installed on the lower parts of walls rather than on the floor. A series of experiments were conducted, using additional instruments installed adjacent to these buildings and replicating the installation configuration in full-scale shake table tests, to identify the degree to which structural response contaminated the recordings. The general finding of these efforts was that for PGV and oscillator periods above 0.1 s, the response spectral ordinates from these recordings can be used with confidence.
Date Issued
2019-11
Date Acceptance
2019-08-01
Citation
JOURNAL OF SEISMOLOGY, 2019, 23 (6), pp.1233-1253
ISSN
1383-4649
Publisher
SPRINGER
Start Page
1233
End Page
1253
Journal / Book Title
JOURNAL OF SEISMOLOGY
Volume
23
Issue
6
Copyright Statement
© 2019 The Author(s). This article is distributed under the terms of the
Creative Commons Attribution 4.0 International License (http://
creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided
you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons license, and indicate if
changes were made.
Creative Commons Attribution 4.0 International License (http://
creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided
you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons license, and indicate if
changes were made.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000492945400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Physical Sciences
Geochemistry & Geophysics
Induced seismicity
Ground-motion recording
Recording networks
Accelerographs
PROBABILISTIC HAZARD ASSESSMENT
GAS-FIELD
INDUCED SEISMICITY
MODEL
NETHERLANDS
EARTHQUAKES
PREDICTION
FRAMEWORK
AREA
Publication Status
Published
Date Publish Online
2019-10-28