TY - THES A1 - Petersen, Gesa Maria T1 - Source studies of small earthquakes in the AlpArray: CMT inversion, seismo-tectonic analysis and methodological developments T1 - Herdmechanismen von kleinen Erdbeben im AlpArray: CMT-Inversion, seismotektonische Analyse und methodische Entwicklungen N2 - Centroid moment tensor inversion can provide insight into ongoing tectonic processes and active faults. In the Alpine mountains (central Europe), challenges result from low signal-to-noise ratios of earthquakes with small to moderate magnitudes and complex wave propagation effects through the heterogeneous crustal structure of the mountain belt. In this thesis, I make use of the temporary installation of the dense AlpArray seismic network (AASN) to establish a work flow to study seismic source processes and enhance the knowledge of the Alpine seismicity. The cumulative thesis comprises four publications on the topics of large seismic networks, seismic source processes in the Alps, their link to tectonics and stress field, and the inclusion of small magnitude earthquakes into studies of active faults. Dealing with hundreds of stations of the dense AASN requires the automated assessment of data and metadata quality. I developed the open source toolbox AutoStatsQ to perform an automated data quality control. Its first application to the AlpArray seismic network has revealed significant errors of amplitude gains and sensor orientations. A second application of the orientation test to the Turkish KOERI network, based on Rayleigh wave polarization, further illustrated the potential in comparison to a P wave polarization method. Taking advantage of the gain and orientation results of the AASN, I tested different inversion settings and input data types to approach the specific challenges of centroid moment tensor (CMT) inversions in the Alps. A comparative study was carried out to define the best fitting procedures. The application to 4 years of seismicity in the Alps (2016-2019) substantially enhanced the amount of moment tensor solutions in the region. We provide a list of moment tensors solutions down to magnitude Mw 3.1. Spatial patterns of typical focal mechanisms were analyzed in the seismotectonic context, by comparing them to long-term seismicity, historical earthquakes and observations of strain rates. Additionally, we use our MT solutions to investigate stress regimes and orientations along the Alpine chain. Finally, I addressed the challenge of including smaller magnitude events into the study of active faults and source processes. The open-source toolbox Clusty was developed for the clustering of earthquakes based on waveforms recorded across a network of seismic stations. The similarity of waveforms reflects both, the location and the similarity of source mechanisms. Therefore the clustering bears the opportunity to identify earthquakes of similar faulting styles, even when centroid moment tensor inversion is not possible due to low signal-to-noise ratios of surface waves or oversimplified velocity models. The toolbox is described through an application to the Zakynthos 2018 aftershock sequence and I subsequently discuss its potential application to weak earthquakes (Mw<3.1) in the Alps. N2 - Die Erforschung der Bruchmechanismen von Erdbeben in den Alpen bietet Einblicke in aktuelle tektonische Prozesse. Typischerweise niedrige bis mittlere Erdbebenmagnituden und die heterogene Krustenstruktur des alpinischen Gebirges erschweren die zu dieser Erforschung durchgeführten Momententensorinversionen. In dieser Dissertation stelle ich einen Arbeitsablauf vor, mit dem ich die Bruchprozesse von Erdbeben zwischen 2016 und 2019 studiert habe. Datengrundlage bildet dabei das temporäre AlpArray Netzwerk (AASN - AlpArray seismic network). Die kumulative Dissertation besteht aus vier Publikationen, die sich einerseits mit den Möglichkeiten und Herausforderungen von großen seismischen Netzwerken und andererseits mit der Erforschung der Bruchprozesse beschäftigen. Dabei wird sowohl auf die Verbindung von den Herdmechanismen und anderen Informationen wie Seismizität, Tektonik und Spannungsfeld eingegangen, als auch untersucht, wie kleinere Erdbeben unser Wissen erweitern können. Die Nutzung der großen Anzahl von Sensoren des AASN erfordert eine sorgfältige Kontrolle von Wellenformdaten und Stations-Metadaten. Um diese aufwändige Aufgabe weitmöglichst zu automatisieren, habe ich die open source toolbox AutoStatsQ entwickelt. Die Verwendung von AutoStatsQ zur Überprüfung des AASN zeigte mehrere signifikante Fehler in den Wellenform-Amplituden und in den Orientierungen der Horizontalkomponenten der Sensoren. Bei einer zweiten Anwendung des Orientierungstests von AutoStatsQ auf das türkische KOERI Netzwerk zeigten sich ebenfalls zahlreiche fehlerhaft orientierte Sensoren. Ein Vergleich mit einer zweiten Methode, basierend auf P-Wellen anstatt von Rayleigh-Wellen, zeigt weitestgehend übereinstimmende Ergebnisse. Basierend auf der Datenqualitätsstudie des AASN werden in der dritten Publikation systematisch verschiedene Einstellungen (z.B. Frequenzbänder, Datentypen, Azimuthale Abdeckung) für Momententensorinversionen getestet und vergleichen. Anschließend wurden Bruchprozesse von Erdbeben zwischen 2016 und 2019 mit Magnituden ab Mw 3.1 analysiert. Zur Interpretation der Ergebnisse im seismotektonischen Zusammenhang werden zusätzlich ältere Momententensorlösungen, Seismizitätskataloge ab 1970, historische Erdbeben und Deformation basierend auf Satellitendaten betrachtet. Aufgrund des Signal-Rausch-Verhältnisses von Oberflächenwellen müssten im Falle von Erdbeben mit kleineren Magnituden (Mw<3.1) höherfrequentere Raumwellen genutzt werden. Je höher der Frequenzbereich, desto größer sind die Einflüsse von Heterogenitäten entlang der Laufwege, sodass einfache 1-D Geschwindigkeitsmodelle nicht ausreichen. Um trotzdem kleinere Erdbeben in die Studien von aktiven Störungen einzubeziehen, haben wir die open-source toolbox Clusty entwickelt. Diese nutzt die Ähnlichkeit von Wellenformen in einem seismischen Netzwerk, um Erdbeben zu gruppieren. Die Ähnlichkeit von Wellenformen zweier Erdbeben über ein Netzwerk resultiert dabei sowohl aus der Ähnlichkeit der Herdmechanismen als auch aus der Lokation der Beben. Der Ketten-ähnliche clustering Ansatz ermöglicht es dabei, graduelle Wellenform-Unterschiede aufgrund von Lokationsänderungen entlang einer Störungszone zu berücksichtigen. Das clustering bietet folglich die Möglichkeit, Beben mit ähnlichen Herdmechanismen zu identifizieren und somit Störungszonen nachzuzeichnen. Die toolbox wird in der vierten Publikation anhand einer Anwendung auf die Nachbebensequenz des Zakynthos Bebens von 2018 beschrieben. Anschließend daran diskutiere ich, wie eine Anwendung auf die Alpen unsere Studien der Bruchprozesse und aktiven Störungen erweitern kann. KW - Moment tensor inversion KW - AlpArray KW - Alps KW - Earthquakes KW - Erdbeben KW - Momententensorinversion KW - Alpen KW - AlpArray Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-525635 ER - TY - JOUR A1 - Dresen, Georg A1 - Kwiatek, Grzegorz A1 - Goebel, Thomas A1 - Ben-Zion, Yehuda T1 - Seismic and aseismic preparatory processes before large stick-slip failure JF - Pure and applied geophysics N2 - Natural earthquakes often have very few observable foreshocks which significantly complicates tracking potential preparatory processes. To better characterize expected preparatory processes before failures, we study stick-slip events in a series of triaxial compression tests on faulted Westerly granite samples. We focus on the influence of fault roughness on the duration and magnitude of recordable precursors before large stick-slip failure. Rupture preparation in the experiments is detectable over long time scales and involves acoustic emission (AE) and aseismic deformation events. Preparatory fault slip is found to be accelerating during the entire pre-failure loading period, and is accompanied by increasing AE rates punctuated by distinct activity spikes associated with large slip events. Damage evolution across the fault zones and surrounding wall rocks is manifested by precursory decrease of seismic b-values and spatial correlation dimensions. Peaks in spatial event correlation suggest that large slip initiation occurs by failure of multiple asperities. Shear strain estimated from AE data represents only a small fraction (< 1%) of total shear strain accumulated during the preparation phase, implying that most precursory deformation is aseismic. The relative contribution of aseismic deformation is amplified by larger fault roughness. Similarly, seismic coupling is larger for smooth saw-cut faults compared to rough faults. The laboratory observations point towards a long-lasting and continuous preparation process leading to failure and large seismic events. The strain partitioning between aseismic and observable seismic signatures depends on fault structure and instrument resolution. KW - Earthquakes KW - rupture KW - stick–slip tests KW - seismic KW - aseismic Y1 - 2020 U6 - https://doi.org/10.1007/s00024-020-02605-x SN - 0033-4553 SN - 1420-9136 VL - 177 IS - 12 SP - 5741 EP - 5760 PB - Springer CY - Basel ER - TY - JOUR A1 - Gassner, Alexandra A1 - Thomas, Christine A1 - Krüger, Frank A1 - Weber, Michael H. T1 - Probing the core-mantle boundary beneath Europe and Western Eurasia: A detailed study using PcP JF - Physics of the earth and planetary interiors N2 - We use PcP (the core reflected P phase) recordings of deep earthquakes and nuclear explosions from the Grafenberg (Germany) and NORSAR (Norway) arrays to investigate the core-mantle boundary region beneath Europe and western Eurasia. We find evidence for a previously unknown ultra-low velocity zone 600 km south-east of Moscow, located at the edge of a middle-size low shear- velocity region imaged in seismic tomography that is located beneath the Volga river region. The observed amplitude variations of PcP can be modelled by velocity reductions of P and S-waves of -5% and -15%, respectively, with a density increase of +15%. Travel time delays of pre-and postcursors are indicating a thickness of about 13 km for this ultra-low velocity region (ULVZ). However, our modelling also reveals highly ambiguous amplitude variations of PcP and a reflection off the top of the anomaly for various ULVZs and topography models. Accordingly, large velocity contrasts of up to -10% in V-P and -20% in Vs cannot be excluded. In general, the whole Volga river region shows a complex pattern of PcP amplitudes caused most likely by CMB undulations. Further PcP probes beneath Paris, Kiev and northern Italy indicate likely normal CMB conditions, whereas the samples below Finland and the Hungary-Slovakia border yield strongly amplified PcP signals suggesting strong CMB topography effects. We evaluate the amplitude behaviour of PcP as a function of distance and several ULVZ models using the 1D reflectivity and the 2D Gauss beam method. The influence of the velocity and density perturbations is analysed as well as the anomaly thickness, the dominant period of the source wavelet and interface topographies. Strong variation of the PcP amplitude are obtained as a function of distance and of the impedance contrast. We also consider two types of topographies: undulations atop the CMB in the presence of flat ULVZs and vice versa. Where a broad range of CMB topography dimensions lead to large PcP amplitude variations, only large ULVZ undulations generate significant amplitude scattering. Consequently, this indicates that topography effects of anomalies may mask the true medium parameters as well as the ULVZ thickness. Moreover, there might be a possibility of misinterpreting the precursor as PcP, in particular for thin ULVZs. (C) 2015 Elsevier B.V. All rights reserved. KW - Core-mantle boundary KW - Ultra-low velocity zones KW - Seismology KW - Amplitude and waveform analysis of PcP KW - Earthquakes KW - Nuclear explosions Y1 - 2015 U6 - https://doi.org/10.1016/j.pepi.2015.06.007 SN - 0031-9201 SN - 1872-7395 VL - 246 SP - 9 EP - 24 PB - Elsevier CY - Amsterdam 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 -