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  • 1. Ferrario, Maria Francesca
    et al.
    Livio, Franz
    Serra-Capizzano, Stefano
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
    Michetti, Alessandro M.
    Developing the First Intensity Prediction Equation Based on the Environmental Scale Intensity: A Case Study from Strong Normal-Faulting Earthquakes in the Italian Apennines2020In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 91, no 5, p. 2611-2623Article in journal (Refereed)
  • 2. Gibbons, Steven J.
    et al.
    Asming, Vladimir
    Eliasson, Lars
    Fedorov, Andrei
    Fyen, Jan
    Kero, Johan
    Kozlovskaya, Elena
    Kvaerna, Tormod
    Liszka, Ludwik
    NÀsholm, Sven Peter
    Raita, Tero
    Roth, Michael
    NORSAR, Norway.
    Tiira, Timo
    Vinogradov, Yuri
    The European Arctic: A Laboratory for Seismoacoustic Studies2017In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057Article in journal (Refereed)
  • 3.
    Heidari, Reza
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
    Shomali, Zaher-Hossein
    Ghayamghamian, Mohammad-Reza
    Rapid Estimation of Peak Ground Velocity and Earthquake Location Using Small Magnitude Earthquakes in the Tehran Region, Iran2013In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 84, no 4, p. 688-694Article in journal (Refereed)
  • 4.
    Joshi, Niranjan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Roberts, Roland
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Tryggvason, Ari
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Lund, Björn
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Earthquake disaster fatality data: Temporally stable power-law behavior and effects of underreportingIn: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057Article in journal (Refereed)
    Abstract [en]

    We investigate changes in the global reported fatalities from earthquake disasters in theleading global disaster database EM-DAT. Drawing parallels with the Gutenberg-Richterfrequency-magnitude analysis, in terms of disaster frequency versus the number of casual-ties, we see a significant overlap of the curves and improving levels of completeness oversix 20-year periods. This implies a decrease in underreporting with time. We find that theapparent strong upwards trend in the number of (reported) earthquake disasters in EM-DATis caused by a gradually improved reporting primarily of events killing fewer than 10 peo-ple. An implication of our findings is that the true (reported and unreported) number ofearthquake disasters, according to the EM-DAT definition, has been surprisingly constantover, at least, the last 100 years. We also show that the average annual number of peoplekilled in earthquake disasters is relatively unaffected by spurious trends in reporting, and hasremained remarkably constant, at least since the 1960s, despite population increase.

  • 5.
    Lund, Björn
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Schmidt, Peter
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Shomali, Zaher Hossein
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Roth, Michael
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    The Modern Swedish National Seismic Network: Two Decades of Intraplate Microseismic Observation2021In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 92, no 3, p. 1747-1758Article in journal (Refereed)
    Abstract [en]

    The Swedish National Seismic Network (SNSN) was modernized and rapidly expanded during the period 1998?2012. The network currently operates 68 permanent seismic stations, all with broadband instruments supplying real-time continuous data at 100 samples per second. Continuous data from 10 stations are shared with the international community via Orfeus, and approximately 10 stations of their individual choice are shared with institutes in neighboring countries (Denmark, Finland, Norway, and Germany). The SNSN uses the South Iceland Lowland (SIL) system as the primary system for automatic detection and event definition. In addition, an in-house system based on migration and stacking is used for automatic detection of small events, and implementations of SeisComP (SC) and Earthworm are used primarily for rapid detection of larger regional events. Global monitoring is performed with SC, using approximately 250 global stations, and we operate a continuous rapid risk assessment system serving Swedish crisis management authorities. Since the start of automatic processing in August 2000, the SNSN has recorded and interactively analyzed more than 171,000 seismic events, of which 10,700 were earthquakes with local magnitudes ranging from around ?1 to 4.3. The microearthquake activity detected in the last 20 yr has significantly improved the identification and understanding of seismically active structures in Sweden.

  • 6.
    Mantyniemi, Paivi B.
    et al.
    Univ Helsinki, Inst Seismol, Dept Geosci & Geog, Helsinki, Finland..
    Sorensen, Mathilde B.
    Univ Bergen, Dept Earth Sci, Bergen, Norway..
    Tatevossian, Tatiana N.
    Russian Acad Sci, Inst Phys Earth, Moscow, Russia..
    Tatevossian, Ruben E.
    Russian Acad Sci, Inst Phys Earth, Moscow, Russia..
    Lund, Björn
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    A Reappraisal of the Luroy, Norway, Earthquake of 31 August 18192020In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 91, no 5, p. 2462-2472Article in journal (Refereed)
    Abstract [en]

    Archives and libraries were visited to find previously unknown documents testifying to the Luroy, Norway, earthquake of 31 August 1819 in northernmost continental Europe. The focus here is on Sweden, Finland, and Russia, which are important for determining the area of perceptibility east of Norway. The new written sources include 12 notes or entries in original archived documents, six contemporary newspaper reports, and two recollections written down years later. The original documentation uncovered is contributory to establishing the authenticity of the observations in Finland and Sweden. The dates of the original documentation allow tracing of the dissemination of eyewitness accounts in writing from the inner area of perceptibility southward to the larger documentation and population centers. New sources of information include weather reports of the Royal Swedish Academy of Sciences, minutes of its meetings, and correspondence sent to the Senate in Finland. The minutes of meetings of the Academy indicate that ample data were collected in the Swedish province of Vasterbotten. We found no original Russian documentation but uncovered national newspapers that are more reliable than the previously used Parisian newspaper. To increase transparency, we provide the first list of macroseismic data points (MDPs) including the respective documentation that testify to the Luroy earthquake. A macroseismic intensity was assigned to a locality, using the European Macroseismic Scale of 1998, when adequate information was available. Accounting for the uncertainty of intensity assessment, the magnitude was estimated as moment magnitude M = 5.9 +/- 0.2, reconfirming the ranking as the largest onshore or nearshore earthquake in the historical seismicity record of Fennoscandia. In addition to the reappraisal of the 31 August 1819 earthquake, a macroseismic map is provided for the earthquake of 17 February 1819, which was felt in northern Finland and Sweden. Some of its MDPs were previously associated with the Luroy earthquake.

  • 7.
    Nazeri, Sahar
    et al.
    Univ Tehran, Inst Geophys, North Kargar St, Tehran, Iran;Univ Naples Federico II, Complesso Univ Monte S Angelo, Dept Phys, RISSC Lab, I-80126 Naples, Italy.
    Shomali, Zaher Hossein
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics. Univ Tehran, Inst Geophys, North Kargar St, Tehran, Iran.
    Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran2019In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 90, no 5, p. 1916-1922Article in journal (Refereed)
    Abstract [en]

    The estimation of epicentral distance is a critical step in earthquake early warning systems (EEWSs) that is necessary to characterize the level of expected ground shaking. In this study, two rapid methodologies, that is, B-Delta and C-Delta , are evaluated to estimate the epicentral distance for use in the EEWSs around the Tehran region. Traditionally, the B and C coefficients are computed using acceleration records, however, in this study, we utilize both acceleration and velocity waveforms for obtaining a suitable B-Delta and C-Delta relationships for the Tehran region. In comparison with observations from Japan, our measurements fall within the range of scatter. However, our results show a lower trend, which can strongly depend on the few numbers of events and range of magnitude (small-to-moderate) of earthquakes used in the current research. To improve our result, we include some large earthquakes from Iran, Italy, and Japan with magnitude larger than 5.9. Although the optimal trend is finally obtained by fitting a line to the distance-averaged points, we conclude that the same trend and relationship as Japan can be used in Tehran early warning system. We also found that B and C parameters are strongly compatible to each other. As time windows of 3.0 and 0.5 s after the P onset are chosen respectively to compute the B and C values, so by selecting the C parameter as a proxy of B parameter to estimate the epicentral distance, we may save significant time in order of about 2.5 s in any earthquake early warning applications.

  • 8. Shirzad, Taghi
    et al.
    Shomali, Zaher-Hossein
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Extracting Seismic Body and Rayleigh Waves from the Ambient Seismic Noise Using the rms-Stacking Method2015In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 86, no 1, p. 173-180Article in journal (Refereed)
  • 9. Shirzad, Taghi
    et al.
    Shomali, Zaher-Hossein
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Riahi, Mohammad-Ali
    An Application of Ambient Noise and Earthquake Tomography in the Rigan Area, Southeast of Iran2013In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 84, no 6, p. 1014-1020Article in journal (Refereed)
  • 10.
    Thybo, Hans
    et al.
    Istanbul Tech Univ, Eurasia Inst Earth Sci, Istanbul, Turkey; Univ Oslo, Ctr Earth Evolut & Dynam CEED, Oslo, Norway.
    Bulut, Nevra
    Istanbul Tech Univ, Eurasia Inst Earth Sci, Istanbul, Turkey.
    Grund, Michael
    Karlsruhe Inst Technol KIT, Geophys Inst GPI, Karlsruhe, Germany.
    Mauerberger, Alexandra
    Deutsch GeoForschungsZentrum GFZ, Potsdam, Germany; Free Univ Berlin, Berlin, Germany.
    Makushkina, Anna
    Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT, Australia.
    Artemieva, Irina M.
    Stanford Univ, Dept Geophys, Stanford, CA 94305 USA; GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany.
    Balling, Niels
    Aarhus Univ, Dept Geosci, Aarhus, Denmark.
    Gudmundsson, Ólafur
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
    Maupin, Valerie
    Univ Oslo, Ctr Earth Evolut & Dynam CEED, Oslo, Norway.
    Ottemøller, Lars
    Univ Bergen, Dept Earth Sci, Bergen, Norway.
    Ritter, Joachim
    Karlsruhe Inst Technol KIT, Geophys Inst GPI, Karlsruhe, Germany.
    Tilmann, Frederik
    Deutsch GeoForschungsZentrum GFZ, Potsdam, Germany; Free Univ Berlin, Berlin, Germany.
    ScanArray: A Broadband Seismological Experiment in the Baltic Shield2021In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 92, no 5, p. 2811-2823Article in journal (Refereed)
    Abstract [en]

    The ScanArray international collaborative program acquired broadband seismological data at 192 locations in the Baltic Shield during the period between 2012 and 2017. The main objective of the program is to provide seismological constraints on the structure of the lithospheric crust and mantle as well as the sublithospheric upper mantle. The new information will be applied to studies of how the lithospheric and deep structure affect observed fast topographic change and geological‐tectonic evolution of the region. The program also provides new information on local seismicity, focal mechanisms, and seismic noise. The recordings are generally of very high quality and are used for analysis by various seismological methods, including P‐ and S‐wave receiver functions for the crust and upper mantle, surface wave and ambient noise inversion for seismic velocity, body‐wave P‐ and S‐wave tomography for upper mantle velocity structure using ray and finite frequency methods, and shear‐wave splitting measurements for obtaining bulk anisotropy of the upper and lowermost mantle. Here, we provide a short overview of the data acquisition and initial analysis of the new data, together with an example of integrated seismological results obtained by the project group along a representative ∼1800‐km‐long profile across most of the tectonic provinces in the Baltic Shield between Denmark and the North Cape. The first models support a subdivision of the Paleoproterozoic Svecofennian province into three domains, where the highest topography of the Scandes mountain range in Norway along the Atlantic Coast has developed solely in the southern and northern domains, whereas the topography is more subdued in the central domain.

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