Strong-motion processing service: a tool to access and analyse earthquakes strong-motion waveforms
- 330 Downloads
Strong-motion data processing is necessary to evaluate reliable ground-motion for standard or specific applications. We describe a processing web-service, fully integrated with the engineering strong motion database (ESM), a daily-updated strong-motion archive that contains more than 50,000 waveforms of events with magnitude ≥ 4.0, mainly recorded in the Pan-European region. A user-friendly web front-end allows the interactive use of a “robust” procedure (in the sense that it has been extensively tested), in order to select and process uncorrected waveforms from the ESM database, and derive several products: processed acceleration, velocity and displacement time series, as well as acceleration and displacement response spectra. The service is addressed to engineering seismologists, earthquake engineers, but also to students and professionals, if adequately trained.
KeywordsStrong-motion waveforms Signal processing Strong-motion database
The processing scheme was implemented by INGV using funding from the Italian Department of Civil Protection (http://www.protezionecivile.it, last access December 2015) within the project “S4 - Banca dati accelerometrici”. The processing interface has been developed by INGV. The time-series displayed in Figs. 4 and 5 are obtained from the European Strong-Motion database available at http://esm.mi.ingv.it (last accessed February 2017). The time-series in Fig. 5 has been recorded by the GEOFON Data Centre (1993): GEOFON Seismic Network. Deutsches GeoForschungsZentrum GFZ. Other/Seismic Network. https://doi.org/10.14470/tr560404.
- Boore DM (2008) TSPP—a collection of FORTRAN programs for processing and manipulating time series. US Geological Survey Open-File Report 2008-1111Google Scholar
- Converse A (1992) BAP: basic strong-motion accelerogram processing software. USGS open-file report 92-296Google Scholar
- Graizer VM (1979) Determination of the true ground displacement by using strong motion records. Izv Earth Phys 25:26–29Google Scholar
- Graves RW (2004) Processing issues for near source strong motion recordings. http://www.cosmos-eq.org/events/wkshop_records_processing/papers/Graves.pdf
- Iwan W, Moser M, Peng C (1985) Some observations on strong-motion earthquake measurement using a digital acceleration. Bull Seismol Soc Am 75:1225–1246Google Scholar
- Luzi L, Puglia R, Russo E, D’Amico M, Felicetta C, Pacor F, Lanzano G, Ceken U, Clinton J, Costa G, Duni L, Farzanegan E, Gueguen P, Ionescu C, Kalogeras I, Özener H, Pesaresi D, Sleeman R, Strollo A, Zare M (2016) The engineering strong motion database: a platform to access pan-european accelerometric data. Seismol Res Lett 87:987–997. https://doi.org/10.1785/0220150278 CrossRefGoogle Scholar
- Paolucci R, Pacor F, Puglia R, Ameri G, Cauzzi C, Massa M (2011) Record processing in ITACA, the new Italian strong-motion database. In: Akkar S, Gülkan P, van Eck T (eds) Chapter 8 of the book earthquake data in engineering seismology—predictive models, data management and networks. ISBN: 978-94-007-0151-9 (printed version) 978-94-007-0152-6 (E-book version). Geotechnical, geological, and earthquake engineering, vol 14, Springer, NetherlandsGoogle Scholar
- Tange O (2011) GNU parallel—the command-line power tool. USENIX Mag 1(36):42–47. http://www.gnu.org/s/parallel
- Williams T, Kelley C et al (2013) Gnuplot 4.6: an interactive plotting program. http://gnuplot.sourceforge.net/