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Earth-Prints is an open archive created and maintained by Istituto Nazionale di Geofisica e Vulcanologia. This digital collection allows users to browse, search and access manuscripts, journal articles, theses, conference materials, books, book-chapters, web products.

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  • PublicationOpen Access
    Indoor Radon Dynamics Driven by Meteorological and Anthropogenic Factors: Evidence from Long-Term Monitoring and Multivariate Analysis in a Tuff-Hosted Building
    This study presents a combined analysis of radon and meteorological time series acquired over several years in a building regularly occupied by workers and occasionally by visitors. The building is founded directly on basaltic tuff in an area characterized by elevated radon levels. A multilevel monitoring system with high spatial and temporal resolution was deployed, consisting of 14 low-cost detectors measuring radon and indoor meteorological parameters; an outdoor weather station was employed for environmental and soil monitoring, and a RAD8 instrument was used to identify the main radon entry points. The monitoring system allowed us to characterize, on daily and seasonal timescales, the variability of radon concentration throughout the building and its dependence on meteorological and anthropogenic factors. Cluster analysis combined with a principal component analysis revealed three distinct meteorological regimes (warm, cold, stormy). Indoor radon concentration centroids in the cold and stormy regimes were associated with up to about 3.9 kBq/m3 at RDP2exp, over an order of magnitude above the EU reference level of 300 Bq/m3, while warm, dry conditions yielded significantly lower levels. Horizontal radon diffusion times ranged from 30 to 90 min, and vertical diffusion times ranged from 90 to 180 min across floors. A 24 h exposure risk assessment shows that occupancy during working hours (08:00–18:00) coincides with the daily radon minimum, but baseline concentrations remain above 300 Bq/m3 even during these periods, necessitating mitigation strategies.
  • PublicationRestricted
    Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach
    (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667, 2024) ; ; ; ; ; ; ; ;
    Yang, Baiyi
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    This article deals with the spatial-temporal investigation of the possible relationship of the carbon monoxide (CO) anomalies with the 2013 Mw =6.7 Lushan earthquake. The complexity of the seismogenic environment contributes to the irregular spatial distribution of CO background. Accurate estimation of the spatial reference background is crucial for precisely detecting seismic-related anomalies. In this study, we proposed an improved Robust Satellite Techniques (RST) approach, in which long-term spatial common variation was incorporated into reference background using multichannel singular spectrum analysis (MSSA) together with spatial clustering. Using the MSSA-RST approach, we detected CO anomalies associated with the Lushan earthquake, utilizing MERRA-2 data spanning from 180 days before to 90 days after the mainshock, and compared the results with those obtained using typical RST. The cumulative CO anomalies exhibited two accelerated growths in the form of a sigmoidal trend: from −51 to −40 days, and from −26 days to 15 days after the mainshock. Spatially, CO anomalies were distributed around the epicenter and along fault zones. Subsequently, we analyzed seismic events and deformation to explore the association between CO anomalies and the Lushan earthquake. The lithospheric Benioff strain also displayed two sigmoid accelerations preceding the mainshock, consistent with cumulative CO anomalies. Some high-value regions in the GPS velocity field were aligned with CO anomaly clusters surrounding Longmenshan, Xianshuihe, Zemuhe, and Anninghe faults. Furthermore, the spatial correspondence and temporal sequence of multiple parameters provide additional support for the potential seismic origin of most atmospheric CO anomalies detected by the new approach, which can be explained by lithosphere-atmosphere–ionosphere coupling (LAIC) models.
  • PublicationOpen Access
    Insights into Conjugate Hemispheric Ionospheric Disturbances Associated with the Beirut Port Explosion on 4 August 2020 Using Multi Low-Earth-Orbit Satellites
    (Basel : Molecular Diversity Preservation International, 2025-05-30) ; ; ; ;
    Rezy Pradipta
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    Ahmed I. Saad Farid
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    Mohamed Freeshah
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    In this study, we analysed remote sensing data collected during the Beirut port explosion on 4 August 2020 at 15.08 UT. For this purpose, we selected three Low-Earth-Orbit (LEO) satellite missions that passed near the Beirut port explosion site immediately after the event. The satellites involved were Swarm-B, the Defence Meteorological Satellite Program (DMSP-F17), and the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC-2). This study focused on identifying the possible ionospheric signatures of explosion in both hemispheres. The conjugate hemispheric points were traced using the International Geomagnetic Reference Field (IGRF) model. We found that the satellite data revealed disturbances not only over the explosion site in the Northern Hemisphere, but also in its corresponding conjugate region in the Southern Hemisphere. Ionospheric electron density disturbances were observed poleward in the conjugate hemispheres along the paths of the Swarm and DMSP satellites, whereas the magnetic field data from Swarm-B showed both equatorward and poleward disturbances. Additionally, the ionospheric disturbances detected by Swarm-B (18:52 UT) and DMSP-F17 (16:30 UT) at the same location suggested travelling ionospheric disturbance (TID) oscillations with identical spatial patterns for both satellites, whereas the disturbances observed by COSMIC-2 south of the explosion site (10°N) indicated the radial propagation of TIDs. COSMIC-2 not only recorded equatorward topside (>550 km) ionospheric electron density disturbances, but also in the conjugate hemispheres, which aligns with the time frame reported in previous studies. These ionospheric features observed by multiple LEO satellites indicate that the detected signatures originated from the event, highlighting the importance of integrating space missions for monitoring and gaining deeper insight into space hazards. The absence of equatorward ionospheric disturbances at the altitudes of DMSP-F17 and Swarm-B warrant further investigation.
  • PublicationRestricted
    A Review of Earthquake Precursor Anomaly Extraction Techniques for Geophysical Time-Series Observations
    (Kluwer Academic Publishers:Journals Department, PO Box 322, 3300 AH Dordrecht Netherlands:011 31 78 6576050, EMAIL: frontoffice@wkap.nl, kluweronline@wkap.nl, INTERNET: http://www.kluwerlaw.com, Fax: 011 31 78 6576254, 2026-02-09) ;
    Xilong Jing
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    Minglin Yang
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    Jiarui Zhang
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    Haiyong Zheng
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    Extracting earthquake precursors from observation data is a long-standing challenge. In principle, the observation data are the first-hand information to understand the earthquake process, and anomaly extraction is a necessary step to discover earthquake precursors, as well as hopefully enable earthquake prediction. At present, advancements in monitoring systems and anomaly extraction technologies have improved our understanding of many earthquake cases. However, due to diverse geophysical measurement techniques, as well as there could be some different theories and consequent signals induced by earthquake activity, anomaly extraction techniques remain fragmented, with no unified technological consensus established. This review uniquely summarizes time-series-based anomaly extraction techniques across geophysical observations for earthquake precursors, unlike existing reviews that mainly concentrate on individual geophysical observation types. Specifically, we outline the classification of anomaly extraction techniques in time-series observations by investigating their data types, the associated anomaly types, and the corresponding extraction methods. It is found that the growing data and precursor knowledge have shifted extraction methods from traditional to data-driven approaches, transforming anomalies into complex contextual or pattern signals preceding earthquakes. This review offers a practical reference framework for assessing extraction techniques and refining their performance in terms of data and anomaly types. We also hope this investigation will advance understanding of evolving extraction methods and their predictive potential.
  • PublicationOpen Access
    SEISMO-VRE: A tool for a multiparametric and multidisciplinary study of an earthquake
    The study of earthquake preparation phases often relies on fragmented approaches, limiting reproducibility and comparison between methods. To address this, we developed a Virtual Research Environment (VRE) for multiparametric and multidisciplinary earthquake investigations. Built as a Jupyter Notebook with MATLAB and Python kernels, the VRE integrates seismic, geodetic, atmospheric, and ionospheric data into a unified and automated workflow. Users can define spatial, temporal and other parameters to retrieve and process data across layers. Its effectiveness is demonstrated through the analysis of the 2016 Central Italy and 2025 Marmara earthquakes, where the tool proved capability to easy reproduce cross-domain results.