TY - JOUR A1 - Grünthal, Gottfried A1 - Stromeyer, Dietrich A1 - Bosse, Christian A1 - Cotton, Fabrice Pierre A1 - Bindi, Dino T1 - The probabilistic seismic hazard assessment of Germany-version 2016, considering the range of epistemic uncertainties and aleatory variability JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - The basic seismic load parameters for the upcoming national design regulation for DIN EN 1998-1/NA result from the reassessment of the seismic hazard supported by the German Institution for Civil Engineering (DIBt). This 2016 version of the national seismic hazard assessment for Germany is based on a comprehensive involvement of all accessible uncertainties in models and parameters and includes the provision of a rational framework for integrating ranges of epistemic uncertainties and aleatory variabilities in a comprehensive and transparent way. The developed seismic hazard model incorporates significant improvements over previous versions. It is based on updated and extended databases, it includes robust methods to evolve sets of models representing epistemic uncertainties, and a selection of the latest generation of ground motion prediction equations. The new earthquake model is presented here, which consists of a logic tree with 4040 end branches and essential innovations employed for a realistic approach. The output specifications were designed according to the user oriented needs as suggested by two review teams supervising the entire project. Seismic load parameters, for rock conditions of nu(S30) = 800 m/s, are calculated for three hazard levels (10, 5 and 2% probability of occurrence or exceedance within 50 years) and delivered in the form of uniform hazard spectra, within the spectral period range 0.02-3 s, and seismic hazard maps for peak ground acceleration, spectral response accelerations and for macroseismic intensities. Results are supplied as the mean, the median and the 84th percentile. A broad analysis of resulting uncertainties of calculated seismic load parameters is included. The stability of the hazard maps with respect to previous versions and the cross-border comparison is emphasized. KW - Seismic hazard KW - Germany KW - DIN EN 1998-1/NA KW - Seismic load parameters Y1 - 2018 U6 - https://doi.org/10.1007/s10518-018-0315-y SN - 1570-761X SN - 1573-1456 VL - 16 IS - 10 SP - 4339 EP - 4395 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Lanzano, Giovanni A1 - Sgobba, Sara A1 - Luzi, Lucia A1 - Puglia, Rodolfo A1 - Pacor, Francesca A1 - Felicetta, Chiara A1 - Cotton, Fabrice Pierre A1 - Bindi, Dino T1 - The pan-European Engineering Strong Motion (ESM) flatfile BT - compilation criteria and data statistics JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - The Engineering Strong-Motion (ESM) flatfile is a parametric table which contains verified and reliable metadata and intensity measures of manually processed waveforms included in the ESM database. The flatfile has been developed within the Seismology Thematic Core Service of EPOS-IP (European Plate Observing System Implementation Phase) and it is disseminated throughout a web portal for research and technical purposes. The adopted criteria for flatfile compilation aim to collect strong motion data and related metadata in a uniform, updated, traceable and quality-checked way to develop Ground Motion Models (GMMs) for Probabilistic Seismic Hazard Assessment (PSHA) and engineering applications. In this paper, we present the characteristics of ESM flatfile in terms of recording, event and station distributions, and we discuss the most relevant features of the Intensity Measures (IMs) of engineering interest included in the table. The dataset for flatfile compilation includes 23,014 recordings from 2179 earthquakes and 2080 stations from Europe and Middle-East. The events are characterized by magnitudes in the range 3.5-8.0 and refer to different tectonics regimes, such as shallow active crustal and subduction zones. Intensity measures include peak and integral parameters and duration of each waveform. The spectral amplitudes of the (5% damping) acceleration and displacement response are provided for 36 periods, in the interval 0.01-10 s, as well as the 103 amplitudes of the Fourier spectrum for the frequency range 0.04-50 Hz. Several statistics are shown with reference to the most significant metadata for GMMs calibrations, such as moment magnitude, focal depth, several distance metrics, style of faulting and parameters for site characterization. Furthermore, we also compare and explain the most relevant differences between the metadata of ESM flatfile with those provided by the previous flatfile derived in RESORCE (Reference Database for Seismic Ground Motion in Europe) project. KW - Strong motion records KW - Flatfile KW - Metadata KW - GMMs KW - Engineering Strong Motion database Y1 - 2018 U6 - https://doi.org/10.1007/s10518-018-0480-z SN - 1570-761X SN - 1573-1456 VL - 17 IS - 2 SP - 561 EP - 582 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Bindi, Dino A1 - Kotha, Sreeram Reddy A1 - Weatherill, Graeme A1 - Lanzano, Giovanni A1 - Luzi, Lucia A1 - Cotton, Fabrice Pierre T1 - The pan-European engineering strong motion (ESM) flatfile BT - consistency check via residual analysis JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - 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. KW - Ground motion prediction equation KW - Residual analysis KW - European strong motion data Y1 - 2018 U6 - https://doi.org/10.1007/s10518-018-0466-x SN - 1570-761X SN - 1573-1456 VL - 17 IS - 2 SP - 583 EP - 602 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Zöller, Gert A1 - Ullah, Shahid A1 - Bindi, Dino A1 - Parolai, Stefano A1 - Mikhailova, Natalya T1 - The largest expected earthquake magnitudes in Central Asia BT - statistical inference from an earthquake catalogue with uncertain magnitudes JF - Seismicity, fault rupture and earthquake hazards in slowly deforming regions N2 - The knowledge of the largest expected earthquake magnitude in a region is one of the key issues in probabilistic seismic hazard calculations and the estimation of worst-case scenarios. Earthquake catalogues are the most informative source of information for the inference of earthquake magnitudes. We analysed the earthquake catalogue for Central Asia with respect to the largest expected magnitudes m(T) in a pre-defined time horizon T-f using a recently developed statistical methodology, extended by the explicit probabilistic consideration of magnitude errors. For this aim, we assumed broad error distributions for historical events, whereas the magnitudes of recently recorded instrumental earthquakes had smaller errors. The results indicate high probabilities for the occurrence of large events (M >= 8), even in short time intervals of a few decades. The expected magnitudes relative to the assumed maximum possible magnitude are generally higher for intermediate-depth earthquakes (51-300 km) than for shallow events (0-50 km). For long future time horizons, for example, a few hundred years, earthquakes with M >= 8.5 have to be taken into account, although, apart from the 1889 Chilik earthquake, it is probable that no such event occurred during the observation period of the catalogue. Y1 - 2017 SN - 978-1-86239-745-3 SN - 978-1-86239-964-8 U6 - https://doi.org/10.1144/SP432.3 SN - 0305-8719 VL - 432 SP - 29 EP - 40 PB - The Geological Society CY - London ER - TY - JOUR A1 - Bindi, Dino A1 - Cotton, Fabrice Pierre A1 - Spallarossa, Daniele A1 - Picozzi, Matteo A1 - Rivalta, Eleonora T1 - Temporal variability of ground shaking and stress drop in Central Italy BT - A Hint for Fault Healing? JF - Bulletin of the Seismological Society of America N2 - Ground‐motion prediction equations (GMPEs) are calibrated to predict the intensity of ground shaking at any given location, based on earthquake magnitude, source‐to‐site distance, local soil amplifications, and other parameters. GMPEs are generally assumed to be independent of time; however, evidence is increasing that large earthquakes modify the shallow soil conditions and those of the fault zone for months or years. These changes may affect the intensity of shaking and result in time‐dependent effects that can potentially be resolved by analyzing between‐event residuals (residuals between observed and predicted ground motion for individual earthquakes averaged over all stations). Here, we analyze a data set of about 65,000 recordings for about 1400 earthquakes in the moment magnitude range 2.5–6.5 that occurred in central Italy from 2008 to 2017 to capture the temporal variability of the ground shaking at high frequency. We first compute between‐event residuals for each earthquake in the Fourier domain with respect to a GMPE developed ad hoc for the analyzed data set. The between‐events show large changes after the occurrence of mainshocks such as the 2009 Mw 6.3 L'Aquila, the 2016 Mw 6.2 Amatrice, and Mw 6.5 Norcia earthquakes. Within the time span of a few months after the mainshocks, the between‐event contribution to the ground shaking varies by a factor 7. In particular, we find a large drop in the between‐events in the aftermath of the L'Aquila earthquake, followed by a slow positive trend that leads to a recovery interrupted by a new drop at the beginning of 2014. We also quantify the frequency‐dependent correlation between the Brune stress drop Δσ and the between‐events. We find that the temporal changes of Δσ resemble those of the between‐event residuals; in particular, during the period when the between‐events show the positive trend, the average logarithm of Δσ increases with an annual rate of 0.19 (i.e., the amplification factor for Δσ is 1.56 per year). Breakpoint analysis located a change in the linear trend coefficients of Δσ versus time in February 2014, although no large earthquakes occurred at that time. Finally, the temporal variability of Δσ mirrors the relative seismic‐velocity variations observed in previous studies for the same area and period, suggesting that both crack healing along the main fault system and healing of microcracks distributed at shallow depths throughout the surrounding region might be necessary to explain the wider observations of postearthquake recovery. Y1 - 2018 U6 - https://doi.org/10.1785/0120180078 SN - 0037-1106 SN - 1943-3573 VL - 108 IS - 4 SP - 1853 EP - 1863 PB - Seismological Society of America CY - Albany ER - TY - JOUR A1 - Zaccarelli, Riccardo A1 - Bindi, Dino A1 - Strollo, Angelo A1 - Quinteros, Javier A1 - Cotton, Fabrice Pierre T1 - Stream2segment: An Open-Source Tool for Downloading, Processing, and Visualizing Massive Event-Based Seismic Waveform Datasets JF - Seismological research letters N2 - The task of downloading comprehensive datasets of event-based seismic waveforms has been made easier through the development of standardized webservices but is still highly nontrivial because the likelihood of temporary network failures or subtle data errors naturally increases when the amount of requested data is in the order of millions of relatively short segments. This is even more challenging because the typical workflow is not restricted to a single massive download but consists of fetching all possible available input data (e.g., with several repeated download executions) for a processing stage producing any desired user-defined output. Here, we present stream2segment, a highly customizable Python 2+3 package helping the user in the entire workflow of downloading, inspecting, and processing event-based seismic data by means of a relational database management system as archiving storage, which has clear performance and usability advantages, and an integrated processing subroutine requiring a configuration file and a single Python function to produce user-defined output. Stream2segment can also produce diagnostic maps or user-defined plots, which, unlike existing tools, do not require external software dependencies and are not static images but instead are interactive browser-based applications ideally suited for data inspection or annotation tasks and subsequent training of classifiers in foreseen supervised machine-learning applications. Stream2segment has already been used as a data quality tool for datasets within the European Integrated Data Archive and to create a weak-motion database (in the form of a so-called flat file) for the stable continental region of Europe in the context of the European Ground Shaking Intensity Model service, in turn an important building block for seismic hazard studies. Y1 - 2019 U6 - https://doi.org/10.1785/0220180314 SN - 0895-0695 SN - 1938-2057 VL - 90 IS - 5 SP - 2028 EP - 2038 PB - Seismological Society of America CY - Albany ER - TY - JOUR A1 - Kotha, Sreeram Reddy A1 - Bindi, Dino A1 - Cotton, Fabrice Pierre T1 - Site-Corrected Magnitude- and Region-Dependent Correlations of Horizontal Peak Spectral Amplitudes JF - Earthquake spectra : the professional journal of the Earthquake Engineering Research Institute N2 - Empirical correlations of horizontal peak spectral amplitudes (PSA) are modeled using the total-residuals obtained in a ground motion prediction equation (GMPE) regression. Recent GMPEs moved toward partially non-ergodic region-and site-specific predictions, while the residual correlation models remained largely ergodic. Using mixed-effects regression, we decompose the total-residuals of a pan-European GMPE into between-event, between-site, and event-and-site corrected residuals to investigate the ergodicity in empirical PSA correlations. We first observed that the between-event correlations are magnitude-dependent, partially due to the differences in source spectra, and influence of stress-drop parameter on small and large events. Next, removing the between-site residuals from within-event residuals yields the event-and-site corrected residuals which are found to be region-dependent, possibly due to the regional differences in distance-decay of short period PSAs. Using our site-corrected magnitude- and region-dependent correlations, and the between-site residuals as empirical site-specific ground motion adjustments, we compute partially non-ergodic conditional mean spectra at four well-recorded sites in Europe and Middle Eastern regions. Y1 - 2017 U6 - https://doi.org/10.1193/091416EQS150M SN - 8755-2930 SN - 1944-8201 VL - 33 SP - 1415 EP - 1432 PB - Earthquake Engineering Research Institute CY - Oakland ER - TY - JOUR A1 - Dahm, Torsten A1 - Heimann, Sebastian A1 - Funke, Sigward A1 - Wendt, Siegfried A1 - Rappsilber, Ivo A1 - Bindi, Dino A1 - Plenefisch, Thomas A1 - Cotton, Fabrice Pierre T1 - Seismicity in the block mountains between Halle and Leipzig, Central Germany BT - centroid moment tensors, ground motion simulation, and felt intensities of two M approximate to 3 earthquakes in 2015 and 2017 JF - Journal of seismology N2 - On April 29, 2017 at 0:56 UTC (2:56 local time), an M (W) = 2.8 earthquake struck the metropolitan area between Leipzig and Halle, Germany, near the small town of Markranstadt. The earthquake was felt within 50 km from the epicenter and reached a local intensity of I (0) = IV. Already in 2015 and only 15 km northwest of the epicenter, a M (W) = 3.2 earthquake struck the area with a similar large felt radius and I (0) = IV. More than 1.1 million people live in the region, and the unusual occurrence of the two earthquakes led to public attention, because the tectonic activity is unclear and induced earthquakes have occurred in neighboring regions. Historical earthquakes south of Leipzig had estimated magnitudes up to M (W) ae 5 and coincide with NW-SE striking crustal basement faults. We use different seismological methods to analyze the two recent earthquakes and discuss them in the context of the known tectonic structures and historical seismicity. Novel stochastic full waveform simulation and inversion approaches are adapted for the application to weak, local earthquakes, to analyze mechanisms and ground motions and their relation to observed intensities. We find NW-SE striking normal faulting mechanisms for both earthquakes and centroid depths of 26 and 29 km. The earthquakes are located where faults with large vertical offsets of several hundred meters and Hercynian strike have developed since the Mesozoic. We use a stochastic full waveform simulation to explain the local peak ground velocities and calibrate the method to simulate intensities. Since the area is densely populated and has sensitive infrastructure, we simulate scenarios assuming that a 12-km long fault segment between the two recent earthquakes is ruptured and study the impact of rupture parameters on ground motions and expected damage. KW - Deep crustal intraplate seismicity KW - Centroid moment tensor of M approximate to 3 earthquakes KW - Observed and simulated ground motions Y1 - 2018 U6 - https://doi.org/10.1007/s10950-018-9746-9 SN - 1383-4649 SN - 1573-157X VL - 22 IS - 4 SP - 985 EP - 1003 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Di Giacomo, Domenico A1 - Bindi, Dino A1 - Parolai, Stefano A1 - Oth, Adrien T1 - Residual analysis of teleseismic P-wave energy magnitude estimates: inter- and intrastation variability JF - Geophysical journal international N2 - P>Computing the magnitude of an earthquake requires correcting for the propagation effects from the source to the receivers. This is often accomplished by performing numerical simulations using a suitable Earth model. In this work, the energy magnitude M(e) is considered and its determination is performed using theoretical spectral amplitude decay functions over teleseismic distances based on the global Earth model AK135Q. Since the high frequency part (above the corner frequency) of the source spectrum has to be considered in computing M(e), the influence of propagation and site effects may not be negligible and they could bias the single station M(e) estimations. Therefore, in this study we assess the inter- and intrastation distributions of errors by considering the M(e) residuals computed for a large data set of earthquakes recorded at teleseismic distances by seismic stations deployed worldwide. To separate the inter- and intrastation contribution of errors, we apply a maximum likelihood approach to the M(e) residuals. We show that the interstation errors (describing a sort of site effect for a station) are within +/- 0.2 magnitude units for most stations and their spatial distribution reflects the expected lateral variation affecting the velocity and attenuation of the Earth's structure in the uppermost layers, not accounted for by the 1-D AK135Q model. The variance of the intrastation error distribution (describing the record-to-record component of variability) is larger than the interstation one (0.240 against 0.159), and the spatial distribution of the errors is not random but shows specific patterns depending on the source-to-station paths. The set of coefficients empirically determined may be used in the future to account for the heterogeneities of the real Earth not considered in the theoretical calculations of the spectral amplitude decay functions used to correct the recorded data for propagation effects. KW - Time series analysis KW - Earthquake source observations KW - Body waves KW - Site effects KW - Wave propagation Y1 - 2011 U6 - https://doi.org/10.1111/j.1365-246X.2011.05019.x SN - 0956-540X VL - 185 IS - 3 SP - 1444 EP - 1454 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Strollo, Angelo A1 - Parolai, Stefano A1 - Bindi, Dino A1 - Chiauzzi, Leonardo A1 - Pagliuca, Rossella A1 - Mucciarelli, Marco A1 - Zschau, Jochen T1 - Microzonation of Potenza (Southern Italy) in terms of spectral intensity ratio using joint analysis of earthquakes and ambient noise JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - A temporary seismic network composed of 11 stations was installed in the city of Potenza (Southern Italy) to record local and regional seismicity within the context of a national project funded by the Italian Department of Civil Protection (DPC). Some stations were moved after a certain time in order to increase the number of measurement points, leading to a total of 14 sites within the city by the end of the experiment. Recordings from 26 local earthquakes (M-l 2.2-3.8 ) were analyzed to compute the site responses at the 14 sites by applying both reference and non-reference site techniques. Furthermore, the Spectral Intensity (SI) for each local earthquake, as well as their ratios with respect to the values obtained at a reference site, were also calculated. In addition, a field survey of 233 single station noise measurements within the city was carried out to increase the information available at localities different from the 14 monitoring sites. By using the results of the correlation analysis between the horizontal-to-vertical spectral ratios computed from noise recordings (NHV) at the 14 selected sites and those derived by the single station noise measurements within the town as a proxy, the spectral intensity correction factors for site amplification obtained from earthquake analysis were extended to the entire city area. This procedure allowed us to provide a microzonation map of the urban area that can be directly used when calculating risk scenarios for civil defence purposes. The amplification factors estimated following this approach show values increasing along the main valley toward east where the detrital and alluvial complexes reach their maximum thickness. KW - Site effects KW - Seismic noise KW - Earthquakes KW - Spectral intensity KW - Correlation Y1 - 2012 U6 - https://doi.org/10.1007/s10518-011-9256-4 SN - 1570-761X VL - 10 IS - 2 SP - 493 EP - 516 PB - Springer CY - Dordrecht ER -