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  • 04. Solid Earth::04.08. Volcanology::04.08.01. Gases
  • 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
  • Wiley-Blackwell  (3)
  • Blackwell Publishing Ltd  (2)
  • 2010-2014  (5)
  • 1980-1984
  • 1
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    Magma intrusion mechanisms and redistribution of seismogenic stress at Mt. Etna volcano (1997–1998) (2012)
    Blackwell Publishing Ltd
    Details
    Publication Date: 2017-04-04
    Description: Several volcanoes worldwide have shown changes in their stress state as a consequence of the deformation produced by the pressurization of a magmatic body. This study investigates seismic swarms occurring on the western flank of Mt. Etna in January 1997 - January 1998. Integrating seismic observations and geodetic data, we constrained the seismogenic fault system, and on the basis of stress tensor inversion and SHMAX analyses, we infer an inflating pressure source located at 5.5 km b.s.l. beneath the west portion of summit area. Evaluation of Coulomb failure stress (CFS) related to the proposed model, showed how a large part of the seismogenic fault underwent a significant CFS increase (500 kPa). We infer the presence of a sub-vertical faulted region, potentially weak, N50°E oriented beneath the western sector of Mt. Etna. This structure could be brought closer to failure thereby generating seismic swarms as the effect of elastic stress transfer induced by movement and/or overpressure of magmatic masses within the upper crust under the volcano.
    Description: This research was funded by the INGV–DPC 2007–2009 Agreement (Project V4_Flank).
    Description: Published
    Description: 339-348
    Description: 1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
    Description: JCR Journal
    Description: restricted
    Keywords: Etna ; modelling ; Seismicity ; GPS monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Volcanic hot spot detection from optical multispectral remote sensing data using artificial neural networks (2014)
    Wiley-Blackwell
    Details
    Publication Date: 2017-04-04
    Description: This paper describes an application of artificial neural networks for the recognition of volcanic lava flow hot spots using remote sensing data. Satellite remote sensing is a very effective and safe way to monitor volcanic eruptions in order to safeguard the environment and the people affected by such natural hazards. Neural networks are an effective and well-established technique for the classification of satellite images. In addition, once well trained, they prove to be very fast in the application stage. In our study a back propagation neural network was used for the recognition of thermal anomalies affecting hot lava pixels. The network was trained using the three thermal channels of the Advanced Very High Resolution Radiometer (AVHRR) sensor as inputs and the corre- sponding values of heat flux, estimated using a two thermal component model, as reference outputs. As a case study the volcano Etna (Eastern Sicily, Italy) was chosen, and in particular the effusive eruption which took place during the month of 2006 July. The neural network was trained with a time-series of 15 images (12 nighttime images and 3 daytime images) and validated on three independent data sets of AVHRR images of the same eruption and on two relative to an eruption occurred the following month. While for both nighttime and daytime validation images the neural network identified the image pixels affected by hot lava with a 100 per cent success rate, for the daytime images also adjacent pixels were included, apparently not interested by lava flow. Despite these performance differences under different illumination conditions, the proposed method can be considered effective both in terms of classification accuracy and generalization capability. In particular our approach proved to be robust in the rejection of false positives, often corresponding to noisy or cloudy pixels, whose presence in multispectral images can often undermine the performance of traditional classification algorithms. Future work shall address application of the proposed method to data acquired with a high temporal resolution, such as those provided by the spinning enhanced visible and infrared imager sensor on board the Meteosat second generation geostationary satellite.
    Description: Published
    Description: 1525-1535
    Description: 5V. Sorveglianza vulcanica ed emergenze
    Description: JCR Journal
    Description: restricted
    Keywords: Image processing ; Neural networks ; fuzzy logic ; Remote sensing of volcanoes ; Hot-spot detection ; Mt. Etna ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
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    Diffuse hydrothermal methane output and evidence of methanotrophic activity within the soils at Sousaki (Greece) (2011)
    Blackwell Publishing Ltd
    Details
    Publication Date: 2017-04-04
    Description: Methane soil flux measurements have been made in 38 sites at the geothermal system of Sousaki (Greece) with the closed chamber method. Fluxes range from –47.6 to 29,150 mg m-2 d-1 and the diffuse CH4 output of the system has been estimated at 19 t a-1. Contemporaneous CO2 flux measurements showed a moderate positive correlation between CO2 and CH4 fluxes. Comparison of the CO2/CH4 soil flux ratios with the CO2/CH4 ratio of the gases of the main gas manifestations provided evidence for methanotrophic activity within the soil. Laboratory CH4 consumption experiments confirmed the presence of methanotrophic microorganisms in soil samples collected at Sousaki. Consumption was generally in the range from –4.9 to –38.9 pmolCH4 h-1 g-1 but could sometimes reach extremely high values (–33,000 pmolCH4 h-1 g-1.). These results are consistent with recent studies on other geothermal systems that revealed the existence of thermoacidophilic bacteria exerting methanotrophic activity in hot, acid soils, thereby reducing methane emissions to the atmosphere.
    Description: Published
    Description: 97–107
    Description: 4.5. Studi sul degassamento naturale e sui gas petroliferi
    Description: JCR Journal
    Description: reserved
    Keywords: Sousaki ; accumulation chamber ; soil degassing ; hydrothermal systems ; methane output ; methanotrophic activity ; 01. Atmosphere::01.01. Atmosphere::01.01.07. Volcanic effects ; 04. Solid Earth::04.04. Geology::04.04.12. Fluid Geochemistry ; 04. Solid Earth::04.08. Volcanology::04.08.01. Gases
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
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    Error analysis of subpixel lava temperature measurements using infrared remotely sensed data (2014)
    Wiley-Blackwell
    Details
    Publication Date: 2017-04-04
    Description: When remote sensing users are asked to define their requirements for a new sensor, the big question that always arises is: will the technical specifications meet the scientific requirements? Herein, we discuss quantitative relationships between instrumental spectral and radiometric characteristics and data exploitable for lava flow subpixel temperature analysis. This study was funded within the framework of ESA activities for the IR GMES (Global Monitoring for Environment and Security) element mission requirements in 2005. Subpixel temperature retrieval from satellite infrared data is a well-established method that is well documented in the remote sensing literature. However there is little attention paid to the error analysis on estimated parameters due to atmospheric correction and radiometric accuracy of the sensor. In this study, we suggest the best spectral bands combination to estimate subpixel temperature parameters. We also demonstrate that poor atmospheric corrections may vanish the effectiveness of the most radiometrically accurate instrument.
    Description: Published
    Description: 112-125
    Description: 3V. Dinamiche e scenari eruttivi
    Description: JCR Journal
    Description: restricted
    Keywords: Remote sensing, error analysis, IR sensors, sub-pixel temperature, Numerical solutions; Non-linear differential equations; Effusive volcanism; Eruption mechanisms and flow emplacement; Remote sensing of volcanoes; Volcano monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
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    Traversing nature’s danger zone: getting up close with Sumatra’s volcanoes. (2012)
    Wiley-Blackwell
    Details
    Publication Date: 2023-02-10
    Description: The Indonesian island of Sumatra, located in one of the most active zones of the Pacific Ring of Fire, is characterized by a chain of subduction-zone volcanoes which extend the entire length of the island. As a group of volcanic geochemists, we embarked upon a five-week sampling expedition to these exotic, remote, and in part explosive volcanoes (SAGE 2010; Sumatran Arc Geochemical Expedition). We set out to collect rock and gas samples from 17 volcanic centres from the Sumatran segment of the Sunda arc system, with the aim of obtaining a regionally significant sample set that will allow quantification of the respective roles of mantle versus crustal sources to magma genesis along the strike of the arc. Here we document our geological journey through Sumatra’s unpredictable terrain, including the many challenges faced when working on active volcanoes in pristine tropical climes.
    Description: Swedish Science Foundation (VR), Scripps Institution of Oceanography, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Upp-sala University Centre for Natural Disaster Science (CNDS) and Otterborgska donationsfonden
    Description: Published
    Description: 64-70
    Description: 2.3. TTC - Laboratori di chimica e fisica delle rocce
    Description: N/A or not JCR
    Description: restricted
    Keywords: Sumatra ; Indonesia ; geochemisty ; 04. Solid Earth::04.08. Volcanology::04.08.01. Gases
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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