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  • 1
    Publication Date: 2022-02-11
    Description: Artifacts often affect seismic catalogs. Among them, the presence of man-made contaminations such as quarry blasts and explosions is a well-known problem. Using a contaminated dataset reduces the statistical significance of results and can lead to erroneous conclusions, thus the removal of such nonnatural events should be the first step for a data analyst. Blasts misclassified as natural earthquakes, indeed, may artificially alter the seismicity rates and then the b-value of the Gutenberg and Richter relationship, an essential ingredient of several forecasting models. At present, datasets collect useful information beyond the parameters to locate the earthquakes in space and time, allowing the users to discriminate between natural and nonnatural events. However, selecting them from webservices queries is neither easy nor clear, and part of such supplementary but fundamental information can be lost during downloading. As a consequence, most of statistical seismologists ignore the presence in seismic catalog of explosions and quarry blasts and assume that they were not located by seismic networks or in case they were eliminated. We here show the example of the Italian Seismological Instrumental and Parametric Database. What happens when artificial seismicity is mixed with natural one?
    Description: Real‐time earthquake rIsk reduction for a reSilient Europe (RISE) project, funded by the European Union’s Horizon 2020 research and innovation program under Grant Agreement Number 821115 and partially funded by the Pianeta Dinamico‐Working Earth INGV‐MUR project
    Description: Published
    Description: 3538-3551
    Description: 4T. Sismicità dell'Italia
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Seismological Society of America
    In:  Taroni, M., J. Zhuang, and W. Marzocchi (2021). High-definition mapping of the Gutenberg–Richter b-value and its relevance: A case study in Italy, Seismol. Res. Lett. 92, 3778–3784, doi: 10.1785/0220210017.
    Publication Date: 2023-02-21
    Description: Taroni et al. (2021) published a statistical framework to reliably estimate the b-value and its uncertainties, with the goal being the interpretation in a seismotectonic context and improving earthquake forecasting capabilities. In this comment, we show that the results presented for the Italian region and the conclusions drawn by the authors, are heavily biased due to quarry-blast events in the Italian earthquake catalog used in the analysis. Without removing this anthropogenic component in the data, a meaningful analysis of the earthquake- size distribution for natural seismicity is, in our opinion, not possible. This comment highlights the need for basic data quality analysis before sophisticated statistical tools are applied to a dataset.
    Description: European Union’s Horizon 2020 research and innovation program under Grant Agreement Number 821115 Pianeta Dinamico-Working Earth INGV-MUR project.
    Description: Published
    Description: 1089-1094
    Description: 5T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2023-11-16
    Description: The Mw 7.1 Ridgecrest earthquake sequence in California in July 2019 offered an opportunity to evaluate in near‐real time the temporal and spatial variations in the average earthquake size distribution (the b‐value) and the performance of the newly introduced foreshock traffic‐light system. In normally decaying aftershock sequences, in the past studies, the b‐value of the aftershocks was found, on average, to be 10%–30% higher than the background b‐value. A drop of 10% or more in “aftershock” b‐values was postulated to indicate that the region is still highly stressed and that a subsequent larger event is likely. In this Ridgecrest case study, after analyzing the magnitude of completeness of the sequences, we find that the quality of the monitoring network is excellent, which allows us to determine reliable b‐values over a large range of magnitudes within hours of the two mainshocks. We then find that in the hours after the first Mw 6.4 Ridgecrest event, the b‐value drops by 23% on average, compared to the background value, triggering a red foreshock traffic light. Spatially mapping the changes in b-values, we identify an area to the north of the rupture plane as the most likely location of a subsequent event. After the second, magnitude 7.1 mainshock, which did occur in that location as anticipated, the b‐value increased by 26% over the background value, triggering a green traffic light. Finally, comparing the 2019 sequence with the Mw 5.8 sequence in 1995, in which no mainshock followed, we find a b‐value increase of 29% after the mainshock. Our results suggest that the real‐time monitoring of b‐values is feasible in California and may add important information for aftershock hazard assessment.
    Description: Published
    Description: 2828-2842
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: 7T. Variazioni delle caratteristiche crostali e precursori sismici
    Description: 8T. Sismologia in tempo reale
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
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