The pan-European engineering strong motion (ESM) flatfile: consistency check via residual analysis
- 166 Downloads
We present the results of a consistency check performed over the flatfile extracted from the engineering strong motion (ESM) database. The flatfile includes 23,014 recordings from 2179 earthquakes in the magnitude range from 3.5 to 7.8 that occurred since the 1970s in Europe and Middle East, as presented in the companion article by Lanzano et al. (Bull Earthq Eng, 2018a). The consistency check is developed by analyzing different residual distributions obtained from ad-hoc ground motion prediction equations for the absolute spectral acceleration (SA), displacement and Fourier amplitude spectra (FAS). Only recordings from earthquakes shallower than 40 km are considered in the analysis. The between-event, between-station and event-and-station corrected residuals are computed by applying a mixed-effect regression. We identified those earthquakes, stations, and recordings showing the largest deviations from the GMPE median predictions, and also evaluated the statistical uncertainty on the median model to get insights on the applicable magnitude–distance ranges and the usable period (or frequency) range. We observed that robust median predictions are obtained up to 8 s for SA and up to 20 Hz for FAS, although median predictions for Mw ≥ 7 show significantly larger uncertainties with ‘bumps’ starting above 5 s for SA and below 0.3 Hz for FAS. The between-station variance dominates over the other residual variances, and the dependence of the between-station residuals on logarithm of Vs30 is well-described by a piece-wise linear function with period-dependent slopes and hinge velocity around 580 m/s. Finally, we compared the between-event residuals obtained by considering two different sources of moment magnitude. The results show that, at long periods, the between-event terms from the two regressions have a weak correlation and the overall between-event variability is dissimilar, highlighting the importance of magnitude source in the regression results.
KeywordsGround motion prediction equation Residual analysis European strong motion data
This work has been developed within the European Plate Observing System (EPOS; https://epos-ip.org/) and the Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe (SERA; http://www.sera-eu.org) projects. Comments from B. Edwards and one anonymous reviewer helped us to improve the manuscript.
- Ambraseys NN, Bommer JJ (1991) Database of European strong-motion records. Eur Earthq Eng 5:18–37Google Scholar
- Ambraseys N, Smit P, Berardi R, Rinaldis D, Cotton F, Berge-Thierry C (2000) Dissemination of European strong-motion data. CD-ROM collection. European Commission, Directorate General XII, Science, Research and Development, Environment and Climate Programme, BruxellesGoogle Scholar
- Ambraseys NN, Smit P, Douglas J, Margaris B, Sigbjörnsson R, Olafsson S, Suhadolc P, Costa G (2004) Internet site for European strong-motion data. Bollettino di Geofisica Teorica ed Applicata 45:113–129Google Scholar
- Brillinger DR, Preisler HK (1985) Further analysis of the Joyner–Boore attenuation data. Bull Seismol Soc Am 75(2):611–614Google Scholar
- Lanzano G, Sgobba S, Luzi L, Puglia R, Pacor F, Felicetta C, D’Amico M, Cotton F, Bindi D (2018a) The pan-European engineering strong motion (ESM) flatfile: compilation criteria and data statistics. Bull Earthq Eng. (submitted) Google Scholar
- Lanzano G, Puglia R, Russo E, Luzi L, Bindi D, Cotton F, D’Amico M, Felicetta C, Pacor F and ORFEUS WG5 (2018b) ESM strong-motion flat-file 2018. Istituto Nazionale di Geofisica e Vulcanologia (INGV), Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ), Observatories and Research Facilities for European Seismology (ORFEUS). PID: 11099/ESM_flatfile_2018Google Scholar
- Luzi L, Puglia R, Russo E, D’Amico M, Felicetta C, Pacor F, Lanzano G, Çeken U, Clinton J, Costa G, Duni L et al (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
- Rhoades DA (1997) Estimation of attenuation relations for strong-motion data allowing for individual earthquake magnitude uncertainties. Bull Seismol Soc Am 87:1674–1678Google Scholar
- Zhao JX, Zhou SL, Gao PJ, Zhang YB, Zhou J, Lu M, Rhoades DA (2016) Ground-motion prediction equations for shallow crustal and upper mantle earthquakes in Japan using site class and simple geometric attenuation functions. Bull Seismol Soc Am 106:1552–1569. https://doi.org/10.1785/0120150063 CrossRefGoogle Scholar