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Academic literature on the topic 'Seismic earthquake swarms'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Seismic earthquake swarms"

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Passarelli, Luigi, Paul Antony Selvadurai, Eleonora Rivalta, and Sigurjón Jónsson. "The source scaling and seismic productivity of slow slip transients." Science Advances 7, no. 32 (August 2021): eabg9718. http://dx.doi.org/10.1126/sciadv.abg9718.

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Slow slip events (SSEs) represent a slow faulting process leading to aseismic strain release often accompanied by seismic tremor or earthquake swarms. The larger SSEs last longer and are often associated with intense and energetic tremor activity, suggesting that aseismic slip controls tremor genesis. A similar pattern has been observed for SSEs that trigger earthquake swarms, although no comparative studies exist on the source parameters of SSEs and tremor or earthquake swarms. We analyze the source scaling of SSEs and associated tremor- or swarm-like seismicity through our newly compiled dataset. We find a correlation between the aseismic and seismic moment release indicating that the shallower SSEs produce larger seismic moment release than deeper SSEs. The scaling may arise from the heterogeneous frictional and rheological properties of faults prone to SSEs and is mainly controlled by temperature. Our results indicate that similar physical phenomena govern tremor and earthquake swarms during SSEs.
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SRIVASTAVA, H. N., S. N. BHATTACHARYA, D. T. RAO, and S. SRIVASTAVA. "Strange attractor in earthquake swarms near Valsad (Gujarat), India." MAUSAM 58, no. 4 (November 26, 2021): 543–50. http://dx.doi.org/10.54302/mausam.v58i4.1439.

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Valsad district in south Gujarat near the western coast of the peninsular India experienced earthquake swarms since early February 1986. Seismic monitoring through a network of micro earthquake seismographs showed a well concentrated seismic activity over an area of 7 × 10 km2 with the depth of foci extending from 1 to 15 km. A total number of 21,830 earthquakes were recorded during March 1986 to June 1988. The daily frequency of earthquakes for this period was utilized to examine deterministic chaos through evaluation of dimension of strange attractor and Lyapunov exponent. The low dimension of 2.1 for the strange attractor and positive value of the largest Lyapunov exponent suggest chaotic dynamics in Valsad earthquake swarms with at least 3 parameters for earthquake predictability. The results indicate differences in the characteristics of deterministic chaos in intraplate and interplate regions of India.
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Bachura, M., T. Fischer, J. Doubravová, and J. Horálek. "From earthquake swarm to a main shock–aftershocks: the 2018 activity in West Bohemia/Vogtland." Geophysical Journal International 224, no. 3 (November 4, 2020): 1835–48. http://dx.doi.org/10.1093/gji/ggaa523.

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SUMMARY In earthquake swarms, seismic energy is released gradually by many earthquakes without a dominant event, which offers detailed insight into the processes on activated faults. The swarm of May 2018 that occurred in West Bohemia/Vogtland region included more than 4000 earthquakes with ML =〈0.5, 3.8&x3009 x232A;and its character showed significant changes during the two weeks duration: what started as a pure earthquake swarm ended as a typical main shock–aftershock sequence. Based on precise double-difference relocations, four fault segments differing in strikes and dips were identified with similar dimensions. First, two segments of typical earthquake swarm character took place, and at the end a fault segment hosting a main shock–aftershock sequence was activated. The differences were observable in the earthquakes spatio-temporal evolutions (systematic versus disordered migration of the hypocentres), b-values (>1.3 for the swarm, <1 for the main shock–aftershocks), or the smoothness of seismic moment spatial distribution along the fault plane. Our findings can be interpreted by local variations of fault rheology, differential stress and/or smoothness of the faults surface, possibly related to the crustal fluids circulating along the fault plane and their interplay with the seismic cycle.
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Liu, Yajing, Jeffrey J. McGuire, and Mark D. Behn. "Aseismic transient slip on the Gofar transform fault, East Pacific Rise." Proceedings of the National Academy of Sciences 117, no. 19 (April 28, 2020): 10188–94. http://dx.doi.org/10.1073/pnas.1913625117.

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Oceanic transform faults display a unique combination of seismic and aseismic slip behavior, including a large globally averaged seismic deficit, and the local occurrence of repeating magnitude (M) ∼6 earthquakes with abundant foreshocks and seismic swarms, as on the Gofar transform of the East Pacific Rise and the Blanco Ridge in the northeast Pacific Ocean. However, the underlying mechanisms that govern the partitioning between seismic and aseismic slip and their interaction remain unclear. Here we present a numerical modeling study of earthquake sequences and aseismic transient slip on oceanic transform faults. In the model, strong dilatancy strengthening, supported by seismic imaging that indicates enhanced fluid-filled porosity and possible hydrothermal circulation down to the brittle–ductile transition, effectively stabilizes along-strike seismic rupture propagation and results in rupture barriers where aseismic transients arise episodically. The modeled slow slip migrates along the barrier zones at speeds ∼10 to 600 m/h, spatiotemporally correlated with the observed migration of seismic swarms on the Gofar transform. Our model thus suggests the possible prevalence of episodic aseismic transients in M ∼6 rupture barrier zones that host active swarms on oceanic transform faults and provides candidates for future seafloor geodesy experiments to verify the relation between aseismic fault slip, earthquake swarms, and fault zone hydromechanical properties.
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Kriegerowski, Marius, Simone Cesca, Matthias Ohrnberger, Torsten Dahm, and Frank Krüger. "Event couple spectral ratio <i>Q</i> method for earthquake clusters: application to northwest Bohemia." Solid Earth 10, no. 1 (February 8, 2019): 317–28. http://dx.doi.org/10.5194/se-10-317-2019.

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Abstract. We develop an amplitude spectral ratio method for event couples from clustered earthquakes to estimate seismic wave attenuation (Q−1) in the source volume. The method allows to study attenuation within the source region of earthquake swarms or aftershocks at depth, independent of wave path and attenuation between source region and surface station. We exploit the high-frequency slope of phase spectra using multitaper spectral estimates. The method is tested using simulated full wave-field seismograms affected by recorded noise and finite source rupture. The synthetic tests verify the approach and show that solutions are independent of focal mechanisms but also show that seismic noise may broaden the scatter of results. We apply the event couple spectral ratio method to northwest Bohemia, Czech Republic, a region characterized by the persistent occurrence of earthquake swarms in a confined source region at mid-crustal depth. Our method indicates a strong anomaly of high attenuation in the source region of the swarm with an averaged attenuation factor of Qp<100. The application to S phases fails due to scattered P-phase energy interfering with S phases. The Qp anomaly supports the common hypothesis of highly fractured and fluid saturated rocks in the source region of the swarms in northwest Bohemia. However, high temperatures in a small volume around the swarms cannot be excluded to explain our observations.
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Chochlaki, Kalliopi, Georgios Michas, and Filippos Vallianatos. "Complexity of the Yellowstone Park Volcanic Field Seismicity in Terms of Tsallis Entropy." Entropy 20, no. 10 (September 20, 2018): 721. http://dx.doi.org/10.3390/e20100721.

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The Yellowstone Park volcanic field is one of the most active volcanic systems in the world, presenting intense seismic activity that is characterized by several earthquake swarms over the last decades. In the present work, we focused on the spatiotemporal properties of the recent earthquake swarms that occurred on December–January 2008–2009 and the 2010 Madison Plateau swarm, using the approach of Non Extensive Statistical Physics (NESP). Our approach is based on Tsallis entropy, and is used in order to describe the behavior of complex systems where fracturing and strong correlations exist, such as in tectonic and volcanic environments. This framework is based on the maximization of the non-additive Tsallis entropy Sq, introducing the q-exponential function and the entropic parameter q that expresses the degree of non-extentivity of the system. The estimation of the q-parameters could be used as a correlation degree among the events in the spatiotemporal evolution of seismicity. Using the seismic data provided by University of Utah Seismological Stations (UUSS), we analyzed the inter-event time (T) and distance (r) distribution of successive earthquakes that occurred during the two swarms, fitting the observed data with the q-exponential function, resulting in the estimation of the Tsallis entropic parameters qT, qr for the inter-event time and distance distributions, respectively. Furthermore, we studied the magnitude-frequency distribution of the released earthquake energies E as formulated in the frame of NESP, which results in the estimation of the qE parameter. Our analysis provides the triplet (qE, qT, qr) that describes the magnitude-frequency distribution and the spatiotemporal scaling properties of each of the studied earthquake swarms. In addition, the spatial variability of qE throughout the Yellowstone park volcanic area is presented and correlated with the existence of the regional hydrothermal features.
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PRAKASH, RAJESH, S. K. SRIVASTAV, H. V. GUPTA, and H. N. SRIVASTAVA. "Spatio temporal seismicity variation in earthquakes of Uttaranchal region." MAUSAM 55, no. 4 (January 19, 2022): 681–90. http://dx.doi.org/10.54302/mausam.v55i4.1402.

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The spatio temporal variations of seismicity preceding Uttarkashi, 1991 and Chamoli, 1999 earthquakes were studied based on the data during the period 1981 to 2000 using the catalogues of earthquakes prepared by the India Meteorological Department. Two scenarios were examined. In one case the epicentral distance from the respective impending earthquakes were worked out for all the earthquakes recorded during a ten years period prior to the earthquake of Uttarkashi and Chamoli respectively. In the other case, the epicenter near latitude 30.2° N and longitude 80.2° E near India Nepal border (where earthquakes of 1966 and 1980 occurred) were considered to compute the epicentral distance. The second case was included because it is a seismically active region where Dharachulla earthquake of 1916 (magnitude 7.5) occurred. The earthquakes of 1999, 1991 and 1980 in Uttaranchal were characterised by six phases of seismic activity namely (i) first quiescence or gap, (ii) swarm, (iii) second quiescence or gap, (iv) foreshocks, (v) main shock and (vi) aftershocks. Some differences among these phases could however, be noticed which were explained through source mechanism, isoseismals, ‘b’ (Gutenberg Richter’s relationship), ‘h’ values (Omori’s law ) and fractal dimension. It is interesting to point out that prior to the occurrence of earthquake swarms (second phase) the seismic pattern exhibits the development of a seismic gap (first phase) after the decay of the aftershock activity associated with a previous large earthquake of magnitude greater than or equal to M: 6.0 in this region. We infer that this second ‘gap’ (third phase) is a characteristic of the complexity of the tectonics in the Uttaranchal. Thus, the simple Kanamori’s asperity model could be modified to consist of six phases of seismic activity in the complex tectonic zone of Garhwal Himalaya. Detailed difference in the seismicity patterns prior to the earthquake were explained by the fractal dimensions estimated from the ‘b’values.
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Valenzuela-Malebrán, Carla, Simone Cesca, Sergio Ruiz, Luigi Passarelli, Felipe Leyton, Sebastian Hainzl, Bertrand Potin, and Torsten Dahm. "Seismicity clusters in Central Chile: investigating the role of repeating earthquakes and swarms in a subduction region." Geophysical Journal International 224, no. 3 (November 21, 2020): 2028–43. http://dx.doi.org/10.1093/gji/ggaa562.

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SUMMARY Seismicity along subduction interfaces is usually dominated by large main-shock–aftershock sequences indicative of a continuum distribution of highly coupled large asperities. In the past decades, however, the increased resolution of seismic catalogues at some subduction zone seems to indicate instead a more complex rheological segmentation of the interface. Large and megathrust earthquake ruptures seem interspersed among regions of low seismic coupling and less stress buildup. In this weaker zone, the strain is primarily released via a combination of moderate-size swarm-like seismicity and aseismic slip. Along the Chilean subduction zone, the densification of the seismic network allowed for the identification of localized seismic clusters, some of them appearing in the form of swarms before megathrust earthquakes. The origin and driving processes of this seismic activity have not yet been identified. In this study, we follow a systematic approach to characterize the seismicity at two persistent clusters in Central Chile, one located offshore Navidad and one inland, at ∼40 km depth beneath Vichuquén, which occurred throughout ∼20 yr. We investigated these clusters, by deriving high-resolution hypocentral locations and moment tensors and performing a detailed analysis of spatio-temporal patterns, magnitude and interevent time distributions of the clustered earthquakes. Both clusters are characterized by weak to moderate seismicity (below Mw 6) and stand out as clear seismicity rate and Benioff strain anomalies. At the Navidad cluster, seismicity occurs in the form of swarms, with a characteristic duration of 2–7 d and location and thrust mechanisms compatible with activity on the slab interface. Conversely, we find at Vichuquén activity dominated by thrust earthquakes occurring as repeaters on the slab interface, with a slip rate of approximately ∼5.0 cm yr−1. We attribute these clusters to local features of the subducting plate: the Navidad swarms are likely driven by repeated high pore pressure transients along a pre-fractured patch of the slab, while the seismicity at the Vichuquén cluster is interpreted as the result of a subducting seamount. Both clusters have been active before and after the Mw 8.8 Maule earthquake and persisted afterwards with the seismicity decay following the Omori law. These interactions are especially evident for the Vichuquén cluster, where the seismicity rate increased considerably after the Maule earthquake and continues to be an area of clearly elevated seismicity rate compared to its surroundings.
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BEZERRA, FRANCISCO HILÁRIO REGO, VANILDO PEREIRA DA FONSCECA, and FRANCISCO PINHEIRO LIMA FILHO. "Seismites: origin, criteria of identification and examples from the Quaternary record of Northeastern Brasil." Pesquisas em Geociências 28, no. 2 (December 31, 2001): 205. http://dx.doi.org/10.22456/1807-9806.20295.

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Seismites are soft-sediment features produced by (paleo)earthquakes. They are formed after sediment deposition, before sediment compaction, and during sudden breakdown of a loosely packet, water saturated grain framework. Fundamental controls on seismite generation are exerted mainly by earthquake size, sediment properties, and water-table depth. Hydroplastic deformation, liquefaction, and fluidization are the three mechanisms related to seismite origin. The most common types of seismites are hydroplastic mixing layers, pillars, pockets, dikes, sills, and folds. Outcrop features are among the most valuable tools for deciphering seismic events in the past. Seismites have been described in many intraplate settings. In northeastern Brazil, earthquake swarms, including events up to 5.2 Mb, induced soft-sediment deformation in at least two historical cases. In this region, seismites occur in the Quaternary record of the Jaguaribe, Açu, and Potengi valleys, where a great variety of types are observed. They are particularly abundant in gravelly and sandy alluvial sediments. But they also occur in deltaic and lagoonal deposits. The study of seismites is particularly useful in areas lacking structural data. Seismite investigation is also important to extent the earthquake record far beyond the instrumental period of seismic observation.
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Mesimeri, M., E. Papadimitriou, V. Karakostas, and G. Tsaklidis. "Earthquake clusters in NW Peloponnese." Bulletin of the Geological Society of Greece 47, no. 3 (December 21, 2016): 1167. http://dx.doi.org/10.12681/bgsg.10972.

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Clusters commonly occur as main shock – aftershock (MS-AS) sequences but also as earthquake swarms, which are empirically defined as an increase in seismicity rate above the background rate without a clear main shock. A delcustering algorithm is employed to identify clusters from a complete catalog of earthquakes that occurred in the area of NW Peloponnese (Greece) during 1980-2007. In order to distinguish these clusters we calculate the skewness and kurtosis of seismic moment release for each cluster, since swarm-like sequences generally have lower skew value of moment release history than MS-AS. The spatial distribution of b-value was calculated for the entire catalog as for the declustered one, in order to correlate them with seismicity behavior of the region. Finally, the pre-stress field of Achaia 2008 earthquake was calculated aiming to associate the stress accumulation with the occurrence of the identified clusters
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Dissertations / Theses on the topic "Seismic earthquake swarms"

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Rößler, Dirk, Stephan Hiemer, Christoph Bach, Elise Delavaud, Frank Krüger, Matthias Ohrnberger, David Sauer, Frank Scherbaum, and Daniel Vollmer. "Small-aperture seismic array monitors Vogtland earthquake swarm in 2008/09." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2009/2918/.

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The most recent intense earthquake swarm in the Vogtland lasted from 6 October 2008 until January 2009. Greatest magnitudes exceeded M3.5 several times in October making it the greatest swarm since 1985/86. In contrast to the swarms in 1985 and 2000, seismic moment release was concentrated near swarm onset. Focal area and temporal evolution are similar to the swarm in 2000. Work hypothysis: uprising upper-mantle fluids trigger swarm earthquakes at low stress level. To monitor the seismicity, the University of Potsdam operated a small aperture seismic array at 10 km epicentral distance between 18 October 2008 and 18 March 2009. Consisting of 12 seismic stations and 3 additional microphones, the array is capable of detecting earthquakes from larger to very low magnitudes (M<-1) as well as associated air waves. We use array techniques to determine properties of the incoming wavefield: noise, direct P and S waves, and converted phases.
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Kilgore, Wayne Walter. "Seismic and Geodetic Investigation of the 1996-1998 Earthquake Swarm at Strandline Lake, Alaska." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1681.

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Microearthquake (< M3.0) swarms occur frequently in volcanic environments, but do not always culminate in an eruption. Such non-eruptive swarms may be caused by stresses induced by magma intrusion, hydrothermal fluid circulation, or regional tectonic processes, such as slow-slip earthquakes. Strandline Lake, located 30 km northeast of Mount Spurr volcano in south-central Alaska, experienced an intense earthquake swarm between August 1996 and August 1998. The Alaska Volcano Observatory (AVO) catalog indicates that a total of 2,999 earthquakes were detected during the swarm period, with a maximum magnitude of Mw 3.1 and a depth range of 0-30 km below sea level (with the majority of catalog hypocenters located between 5-10 km BSL). The cumulative seismic moment of the swarm was 2.03e15 N-m, equivalent to a cumulative magnitude of Mw 4.2. Because of the swarm's distance from the nearest Holocene volcanic vent, seismic monitoring was poor and gas and GPS data do not exist for the swarm period. However, combined waveforms from a dense seismic network on Mount Spurr and from several regional seismic stations allow reanalysis of the swarm earthquakes. I first developed a new 1-D velocity model for the Strandline Lake region by re-picking and inverting precise arrival times for 27 large Strandline Lake earthquakes. The new velocity model reduced the average RMS for these earthquakes from 0.16 to 0.11s, and the average horizontal and vertical location errors from 3.3 to 2.5 km and 4.7 to 3.0 km, respectively. Depths of the 27 earthquakes ranged from 10.5 to 22.1 km with an average depth of 16.6 km. A moderately high b-value of 1.33 was determined for the swarm period, possibly indicative of magmatic activity. However, a similarly high b-value of 1.25 was calculated for the background period. 28 well-constrained fault plane solutions for both swarm and background earthquakes indicate a diverse mixture of strike-slip, dip-slip, and reverse faulting beneath Strandline Lake. Finally, five Interferometric Synthetic Aperture Radar (InSAR) images spanning the swarm period unambiguously show no evidence of surface deformation. While a shallow volcanic intrusion appears to be an unlikely cause of the Strandline Lake swarm based on the new well-constrained earthquake depths and the absence of strong surface deformation, the depth range of 10.5 to 22.1 km BSL for relocated earthquakes and the high degree of FPS heterogeneity for this swarm are similar to an earthquake swarm beneath Lake Tahoe, California in 2003 caused by a deep intrusion near the base of the crust (Smith et al, 2004). This similarity suggests that a deep crustal magmatic intrusion could have occurred beneath the Strandline Lake area in 1996-1998 and may have been responsible for the resulting microearthquake activity.
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Rößler, Dirk, Frank Krüger, Georg Rümpker, and Ivan Psencik. "Tensile source components of swarm events in West Bohemia in 2000 by considering seismic anisotropy." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2007/1297/.

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Earthquake swarms occur frequently in West Bohemia, Central Europe. Their occurrence is correlated with and propably triggered by fluids that escape on the earth's surface near the epicentres. These fluids raise up periodically from a seemingbly deep-seated source in the upper mantle. Moment tensors for swarm events in 1997 indicate tensile faulting. However, they were determined under assumption of seismic isotropy although anisotropy can be observed. Anisotropy may obscure moment tensors and their interpretation. In 2000, more than 10,000 swarm earthquakes occurred near Novy Kostel, West Bohemia. Event triggering by fluid injection is likely. Activity lasted from 28/08 until 31/12/00 (9 phases) with maximum ML=3.2. High quality P-wave seismograms were used to retrieve the source mechanisms for 112 events between 28/08/00 and 30/10/00 using > 20 stations. We determine the source geometry using a new algorithm and different velocity models including anisotropy. From inversions of P waves we observe ML<3.2, strike-slip events on steep N-S oriented faults with additional normal or reverse components. Tensile components seem to be evident for more than 60% of the processed swarm events in West Bohemia during the phases 1-7. Being most significant at great depths and at phases 1-4 during the swarm they are time and location dependent. Although tensile components are reduced when anisotropy is assumed they persist and seem to be important. They can be explained by pore-pressure changes due to the injection of fluids that raise up. Our findings agree with other observations e.g. correlation of fluid transport and seismicity, variations in b-value, forcing rate, and in pore pressure diffusion. Tests of our results show their significance.
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Geissler, Wolfram H. "Seismic and petrological investigations of the lithosphere in the Swarm-Earthquake and CO2 degassing region Vogtland, NW-Bohemia." Potsdam : Geoforschungszentrum, 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975153234.

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Geissler, Wolfram H. [Verfasser]. "Seismic and petrological investigations of the lithosphere in the Swarm-Earthquake and CO2 degassing region Vogtland, NW-Bohemia / Geoforschungszentrum Potsdam in der Helmholtz-Gemeinschaft. Wolfram H. Geissler." Potsdam : Geoforschungszentrum, 2005. http://d-nb.info/975153234/34.

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Geissler, Wolfram H. "Seismic and petrological investigations of the lithosphere in the swarm earthquake and CO2 degassing region Vogtland, NW Bohemia Seismische und petrologische Untersuchungen der Lithosphäre in der Schwarmbeben- und CO2-Entgasungs-Region Vogtland, NW Böhmen /." [S.l. : s.n.], 2004. http://www.diss.fu-berlin.de/2005/73/index.html.

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Doubravová, Jana. "Automatické a poloautomatické zpracování seismogramů z lokálních sítí WEBNET a REYKJANET." Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-437541.

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Jakoubková, Hana. "Zemětřesné roje v různých tektonických prostředích: západní Čechy a jihozápadní Island." Doctoral thesis, 2018. http://www.nusl.cz/ntk/nusl-389824.

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In my doctoral thesis I have investigated earthquake swarms from two com- pletely different tectonic areas, West Bohemia/Vogtland and Southwest Iceland, with the aim of gaining a deeper insight into the nature of earthquake swarms in diverse tectonic environments. I analysed swarm-like activities from West Bo- hemia and Southwest Iceland from the perspective of statistical characteristics (magnitude-frequency distribution, interevent time distribution), seismic moment release, and space-time distribution of events. I found that the ratio of small to large events and the event rates are similar for all the activities in both areas, while the rate of the seismic moment release is significantly higher for the South- west Icelandic swarms. Seismic moment released step by step is characterised for the West Bohemia swarms, whereas seismic moment released in one dominant short-term phase is typical of Southwest Icelandic earthquake swarms. All the West Bohemian swarms took place in a bounded focal zone Nový Kostel that is fairly complex, consisting of several fault segments. The Southwest Icelandic swarms are distributed at much larger area along the Mid Atlantic Ridge up to its branching in the Hengill triple junction, the individual swarms clearly reflect a tectonic structure of respective focal areas. I have...
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Procházková, Pavla. "Metodika zpracování makroseismických dat a její aplikace na západočeský seismický roj 2008." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-297916.

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Title: Methods of processing macroseismic data and their application to the 2008 earthquake swarm in western Bohemia Author: Bc. Pavla Procházková Department: Department of Geophysics Supervisor: doc. RNDr. Oldřich Novotný, CSc. Consultant: RNDr. Pavla Hrubcová, PhD. Supervisor's e-mail address: on@karel.troja.mff.cuni.cz Abstract: Abstract: This work evaluates macroseismic observations of the earthquake swarm which occurred in West Bohemia in 2008. The first chapters are devoted to the explanation of basic terms, the geological description of the region and the history of earthquakes in the region. The historical development of macroseismic scales and a detailed description of the EMS-98, used for the evaluation of the 2008 earthquake swarm data, are contained in the following chapters. The main part of the present work deals with the manual macroseismic evaluation of the swarm followed by a description of the program for the automatic evaluation of data. The program results were found to agree with the manual evaluation. In the next part there is a detailed description of a program for drawing isoseismal lines. In the appendix the reader can find an overview of macroseismic scales, sample questionnaires and suggestions to improve the Czech questionnaire. Keywords: macroseismical intensity, EMS-98...
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Geissler, Wolfram H. [Verfasser]. "Seismic and petrological investigations of the lithosphere in the swarm earthquake and CO2 degassing region Vogtland, NW Bohemia = Seismische und petrologische Untersuchungen der Lithosphäre in der Schwarmbeben- und CO2-Entgasungs-Region Vogtland, NW Böhmen / vorgelegt von Wolfram H. Geissler." 2004. http://d-nb.info/974417831/34.

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Book chapters on the topic "Seismic earthquake swarms"

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Métois, M., C. Vigny, and A. Socquet. "Interseismic Coupling, Megathrust Earthquakes and Seismic Swarms Along the Chilean Subduction Zone (38°–18°S)." In The Chile-2015 (Illapel) Earthquake and Tsunami, 45–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57822-4_5.

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Yamakawa, Norio. "Foreshocks, Aftershocks, and Earthquake Swarms with Special Reference to Normal Seismic Activity in and Near the Japanese Islands." In The Crust and Upper Mantle of the Pacific Area, 51–59. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm012p0051.

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Okada, TOMOMI, Toru Matsuzawa, Norihito Umino, Keisuke Yoshida, Akira Hasegawa, Hiroaki Takahashi, Takuji Yamada, et al. "Hypocenter migration and crustal seismic velocity distribution observed for the inland earthquake swarms induced by the 2011 Tohoku-Oki earthquake in NE Japan: implications for crustal fluid distribution and crustal permeability." In Crustal Permeability, 307–23. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119166573.ch24.

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Tovmasyan, A. K. "Southern Javakhet Earthquake Swarm. Stress Tensor Orientation Derived from Focal Mechanism Data." In Earthquake Hazard and Seismic Risk Reduction, 99–107. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9544-5_11.

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Zhao, Rui, JianChang Zheng, HuaWei Cui, and DongPu Ji. "Analysis on the seismogenic mechanism of Changdao earthquake swarm in Shandong province." In Advances in Civil Engineering: Structural Seismic Resistance, Monitoring and Detection, 727–34. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003310884-97.

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Munguía, Luis, Sergio Mayer, Alfredo Aguirre, Ignacio Méndez, Mario González-Escobar, and Manuel Luna. "The 2006 Bahía Asunción Earthquake Swarm: Seismic Evidence of Active Deformation Along the Western Margin of Baja California Sur, Mexico." In Pageoph Topical Volumes, 3615–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-51529-8_21.

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Mitropoulou, Chara Ch, Vagelis Plevris, and Nikos D. Lagaros. "Metaheuristic Optimization in Seismic Structural Design and Inspection Scheduling of Buildings." In Data Mining, 2132–52. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch109.

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Optimization is a field where extensive research has been conducted over the last decades. Many types of problems have been addressed, and many types of algorithms have been developed, while their range of applications is continuously growing. The chapter is divided into two parts; in the first part, the life-cycle cost analysis is used as an assessment tool for designs obtained by means of prescriptive and performance-based optimum design methodologies. The prescriptive designs are obtained through a single-objective formulation, where the initial construction cost is the objective to be minimized, while the performance-based designs are obtained through a two-objective formulation where the life-cycle cost is considered as an additional objective also to be minimized. In the second part of the chapter, the problem of inspection of structures and routing of the inspection crews following an earthquake in densely populated metropolitan areas is studied. A model is proposed and a decision support system is developed to aid local authorities in optimally assigning inspectors to critical infrastructures. A combined particle swarm – ant colony optimization based framework is implemented, which proves to be an instance of a successful application of the philosophy of bounded rationality and decentralized decision-making for solving global optimization problems.
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Conference papers on the topic "Seismic earthquake swarms"

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Arnoso, José, Umberto Riccardi, Umberto Tammaro, Maite Benavent, Fuensanta G. Montesinos, and Emilio Vélez. "2D strain rate and ground deformation modelling from continuous and survey mode GNSS data in El Hierro, Canary Islands." In 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13632.

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We present a study of the deformation pattern in El Hierro Island through the analysis of GNSS data from surveys carried out between 2015 and 2019 as well as continuous data. The last eruption in El Hierro occurred under the sea on the south rift, lasted from October 2011 to March 2012, and it was preceded by intense seismic activity and nearly 5 cm ground inflation. After this eruptive cycle, further magmatic intrusions were detected, from June 2012 to March 2014, associated to intense seismic swarms and inflation (about 22 cm of uplift). Nevertheless, these magmatic intrusions did not culminate in any eruption. Following these post-eruptive episodes, the seismic activity became less intense. Thus, for the period of this study, about 500 earthquakes with magnitude ranging from mbLG 2 to mbLG 3.9 were recorded, the ground deformation measured is of lower magnitude, still remaining a slight uplift trend in the GNSS stations up to 2017 and followed by a slight subsidence of about 1.5 cm between 2017-2019. Our purpose is to explain the ground displacements measured and the earthquake occurrence in terms of geodynamics and seismotectonic activity along the island, for the period 2015-2019. Firstly, we retrieved the geodetic velocities from the GNSS daily solutions. Secondly, we computed the 2D infinitesimal strain rates from the velocities through a triangular segmentation approach to map the deformation pattern along the respective GNSS surveys.
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Hui, Gang, Shengnan Chen, and Fei Gu. "A Novel Coupled Approach to Investigate the Spatiotemporal Evolution of Fracturing-Induced Seismicity: Case Study." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204156-ms.

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Abstract The recent seismicity rate increase in Fox Creek is believed to be linked to the hydraulic fracturing operations near the region. However, the spatiotemporal evolution of hydraulic fracturing-induced seismicity is not well understood. Here, a coupled approach of geology, geomechanics, and hydrology is proposed to characterize the spatiotemporal evolution of hydraulic fracturing-induced seismicity. The seismogenic faults in the vicinity of stimulated wells are derived from the focal mechanisms of mainshock event and lineament features of induced events. In addition, the propagation of hydraulic fractures is simulated by using the PKN model, in combination with inferred fault, to characterize the possible well-fault hydrological communication. The original stress state of inferred fault is determined based on the geomechanics analysis. Based on the poroelasticity theory, the coupled flow-geomechanics simulation is finally conducted to quantitatively understand the fluid diffusion and poroelastic stress perturbation in response to hydraulic fracturing. A case study of a moment-magnitude-3.4 earthquake near Fox Creek is utilized to demonstrate the applicability of the coupled approach. It is shown that hydraulic fractures propagated along NE45° and connected with one North-south trending fault, causing the activation of fault and triggered the large magnitude event during fracturing operations. The barrier property of inferred fault under the strike-slip faulting regime constrains the nucleation position of induced seismicity within the injection layer. The combined changes of pore pressure and poroelastic stress caused the inferred fault to move towards the failure state and triggered the earthquake swarms. The associated spatiotemporal changes of Coulomb Failure Stress along the fault plane is well in line with the spatiotemporal pattern of induced seismicity in the studied case. Risks of seismic hazards could be reduced by decreasing fracturing job size during fracturing stimulations.
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Wibowo, B. A., and S. Rohadi. "Tomography of Seismic Wave’s Velocity Structure using Swarm Earthquake Data in Jailolo Area, West Halmahera." In EAGE-HAGI 1st Asia Pacific Meeting on Near Surface Geoscience and Engineering. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201800436.

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Sanford, Allan R. "The Prairie Spring earthquake swarm: a seismic event in the Chupadera Mesa region, central New Mexico." In 60th Annual Fall Field Conference. New Mexico Geological Society, 2009. http://dx.doi.org/10.56577/ffc-60.139.

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Bais, G., P. P. Bruno, V. Di Fiore, and A. Rapolla. "Evaluation of the seismic site response using the recent earthquake swarm of Basilicata region (Southerns Appennines-Italy)." In 5th EEGS-ES Meeting. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609.201406485.

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Baygi, Seyed Mahdi Hadad, Ali Karsaz, and Azar Elahi. "A hybrid optimal PID-Fuzzy control design for seismic exited structural system against earthquake: A salp swarm algorithm." In 2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS). IEEE, 2018. http://dx.doi.org/10.1109/cfis.2018.8336659.

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Reports on the topic "Seismic earthquake swarms"

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Alaska Volcano Observatory archive of seismic drum records of eruptions of Augustine Volcano (1986), Redoubt Volcano (1989–90), Mount Spurr (1992), and Pavlof Volcano (1996), and the 1996 earthquake swarm at Akutan Peak. US Geological Survey, 2022. http://dx.doi.org/10.3133/dr1146.

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