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  • 04.06. Seismology  (3)
  • GFZ German Research Centre for Geosciences  (2)
  • American Chemical Society
  • American Geophysical Union
  • 2020-2024  (3)
  • 1985-1989
  • 1
    Publication Date: 2024-04-05
    Description: Rayleigh wave ellipticity measurements from seismic ambient noise recorded on the Greenland Ice Sheet (GrIS) show complex and anomalous behavior at wave periods sensitive to ice (T 〈 3–4 s). To understand these complex observations, we compare them with synthetic ellipticity measurements obtained from synthetic ambient noise computed for various seismic velocity and attenuation models, including surface wave overtone effects. We find that in dry snow conditions within the interior of the GrIS, to first order the anomalous ellipticity observations can be explained by ice models associated with the accumulation and densification of snow into firn. We also show that the distribution of ellipticity measurements is strongly sensitive to seismic attenuation and the thermal structure of the ice. Our results suggest that Rayleigh wave ellipticity is well suited for monitoring changes in firn properties and thermal composition of the Greenland and Antarctic ice sheets in a changing climate.
    Description: Published
    Description: e2023GL103673
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2024-01-30
    Description: The widespread lack of awareness of seismic hazard and the inadequate preparedness to protect people and property explains the high cost of damage caused by earthquakes worldwide to date. Efficient communication is of paramount importance as part of effective risk mitigation strategies. Over the past twenty years, efforts have been pursued at the local, regional, national, and international level to disseminate information on seismic hazard to populations at risk.Focusing on Europe, we analyze the main features of seismic risk communication from 2000 to 2022, and present here an overview of the results obtained based on a scoping review of the scientific literature. Our review was conducted on publications selected from Scopus, Web of Science, and Google Scholar databases and the information was gathered on the basis of the 5 ‘Ws questions’ (Who, What, When, Where, and Why). Overall, the selected publications document the relatively limited engagement of the scientific community in this risk field compared to other natural disasters. Nevertheless, the growing trend over time of publications dealing with seismic risk communication highlights the effort to attract selected targeted audiences (particularly children), using new contents, methods of implementation, and channels such as social networks and the Internet.
    Description: Published
    Description: Berlino (Germania)
    Description: OST2 Deformazione e Hazard sismico e da maremoto
    Keywords: Seismic risk ; communication ; Europe ; scoping review ; 04.06. Seismology ; 05.08. Risk ; 05.02. Data dissemination
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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  • 3
    Publication Date: 2024-01-29
    Description: A Vulcanian eruption is described as an eruptive style with strong explosive characteristics. The name derives from the island of Vulcano in Italy, the first place in which it was observed during the last eruptive activity between 1888 and 1890. In this paper we analyze the seismicity recorded at Vulcano during a seismic unrest starting in September 2021 and still present as of November 2022. The distinctive feature of this seismicity is the presence of a variety of signals, most of which have a very long period (\textasciitilde0.5 s) signature. Low frequency content is interpreted as due to fluid involvement. Therefore, the high occurrence rate of VLP seismicity is a potential indication of pressure buildup within the volcanic system, and may herald phreatomagmatic activity (usually the first stage of a Vulcanian eruption), with serious consequences for inhabitants and tourists.Our analyses exploit machine learning procedures, with particular reference to pattern classification, at the aim of identifying varying classes of seismic events and trace their evolution over time. This classification can be useful for surveillance purposes contributing, along with other early warning methods, to reduce the devastating consequences of eruptions for people and property.
    Description: Published
    Description: Berlino (Germania)
    Description: OST5 Verso un nuovo Monitoraggio
    Keywords: seismic activity ; machine learning ; events classification ; Vulcano ; Aeolian Islands ; VLP seismicity ; 04.06. Seismology ; 04.08. Volcanology ; 05.06. Methods
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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