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  • 1
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    PANGAEA
    In:  Supplement to: Del Negro, Ciro; Cappello, Annalisa; Neri, Marco; Bilotta, Giuseppe; Hérault, Alexis; Ganci, Gaetana (2013): Lava flow hazards at Mount Etna: constraints imposed by eruptive history and numerical simulations. Scientific Reports, 3, 3493, https://doi.org/10.1038/srep03493
    Publikationsdatum: 2023-01-13
    Beschreibung: Improving lava flow hazard assessment is one of the most important and challenging fields of volcanology, and has an immediate and practical impact on society. Here, we present a methodology for the quantitative assessment of lava flow hazards based on a combination of field data, numerical simulations and probability analyses. With the extensive data available on historic eruptions of Mt. Etna, going back over 2000 years, it has been possible to construct two hazard maps, one for flank and the other for summit eruptions, allowing a quantitative analysis of the most likely future courses of lava flows. The effective use of hazard maps of Etna may help in minimizing the damage from volcanic eruptions through correct land use in densely urbanized area with a population of almost one million people. Although this study was conducted on Mt. Etna, the approach used is designed to be applicable to other volcanic areas.
    Schlagwort(e): ETNA; Mount Etna, Sicily, Italia
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
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    Unbekannt
    PANGAEA
    In:  Supplement to: Ganci, Gaetana; Cappello, Annalisa; Bilotta, Giuseppe; Hérault, Alexis; Zago, Vito; Del Negro, Ciro (2019): 3D Lava flow mapping of the 17-25 May 2016 Etna eruption using tri-stereo optical satellite data. Annals of Geophysics, 62(2), 1-6, https://doi.org/10.4401/ag-7875
    Publikationsdatum: 2023-01-30
    Beschreibung: We present two 2-meter Digital Elevation Models (DEMs) of Mount Etna obtained from tri-stereo Pléiades images acquired on 24 December 2015 and 18 July 2016. The 3D processing of the Pléiades imagery was performed using the free and open source MicMac photogrammetric library (http://micmac.ensg.eu) developed by the French IGN (Institut Géographique National). The covered area is almost the same for both the DEMs (about 15 × 15 km) and includes the summit area of Etna volcano and almost all the Valle del Bove area. The presented DEMs are not aligned, but after co-registration, the standard deviation of their height difference was found equal to ∼1.6 m (in an area not covered by volcanic deposits emplaced on May 2016). The DEMs are provided as GeoTIFF raster (dem20151224_2m.tiff and dem20160718_2m.tiff), using the WGS84 datum and the UTM projection, zone 33 North (EPSG 32633). Missing areas are due to snow cover, very low texture and/or terrain shadows. Pléiades data were available through the Space Volcano Observatory with Pléiades (SVOP) project coordinated by Pierre Briole (http://volcano.iterre.fr/svo_projects). We are grateful to Olivier Galland, Luc Girod and Christopher Nuth for their assistance with the use of the MicMac software. This work was developed within the framework of the Laboratory for Technological Advance in Volcano Geophysics (TecnoLab) of the INGV in Catania (Italy) and was partially supported from the "Advanced tools and methods for computational fluid-dynamics"(ATHOS) research programme.
    Schlagwort(e): digital elevation model; Etna volcano; File format; File name; File size; Pléiades imagery; satellite remote sensing; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 8 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Ganci, Gaetana; Cappello, Annalisa; Bilotta, Giuseppe; Hérault, Alexis; Zago, Vito; Del Negro, Ciro (2018): Mapping Volcanic Deposits of the 2011–2015 Etna Eruptive Events Using Satellite Remote Sensing. Frontiers in Earth Science, 6:83, https://doi.org/10.3389/feart.2018.00083
    Publikationsdatum: 2023-01-30
    Beschreibung: We present a Digital Elevation Model (DEM) of Mount Etna obtained from tri-stereo Pléiades data acquired on 18 December 2015. The 3D processing of the tri-stereo Pléiades 1A imagery was performed using the free and open source MicMac photogrammetric library (http://micmac.ensg.eu) developed by the French IGN (Institut Géographique National), and took advantage of Ground Control Points (GCPs) acquired at Mt Etna. The best result obtained is a 4-meter resolution DEM spanning an area of about 16 × 15 km, which covers the summit craters and a portion of the eastern flank of the volcano, including most of the Valle del Bove area. The highest point of 3,367 m is on the south-west rim of the North-East Crater (NEC), while the South-East Crater (SEC) and the New South-East Crater (NSEC) reach an elevation of 3,336 and 3,325 m, respectively. This 2015 DEM was validated against the 1-meter 2005 DEM resulted from digital photogrammetric mapping (Gwinner at al., 2006). The standard deviation of the height difference between the two DEMs in the area not covered by volcanic deposits, emplaced between 2005 and 2015, is 2.95 m. This difference can be partly due to vegetation and/or urbanization. The DEM is provided as GeoTIFF raster (dem_2015_4m.tiff), using the WGS84 datum and the UTM projection, zone 33 North (EPSG 32633). Missing areas are due to snow cover, very low texture and/or terrain shadows. Pléiades data were available through the Space Volcano Observatory with Pléiades (SVOP) project coordinated by Pierre Briole (http://volcano.iterre.fr/svo_projects). We are grateful to Olivier Galland, Luc Girod and Christopher Nuth for their assistance with the use of the MicMac software.This work was developed within the framework of the Laboratory for Technological Advance in Volcano Geophysics (TecnoLab) of the INGV in Catania (Italy) and was partially supported from the "Advanced tools and methods for computational fluid-dynamics"(ATHOS) research programme.
    Schlagwort(e): digital elevation model; Etna volcano; File format; File name; File size; Pléiades imagery; satellite remote sensing; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 4 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Publikationsdatum: 2023-02-12
    Schlagwort(e): Area; Date; Duration, number of days; ETNA; Identification; Mount Etna, Sicily, Italia; Output rate; Volume of lava
    Materialart: Dataset
    Format: text/tab-separated-values, 360 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
    Publikationsdatum: 2023-02-12
    Schlagwort(e): Date; Duration, number of days; ETNA; Location; Mount Etna, Sicily, Italia; Output rate; Volume of lava
    Materialart: Dataset
    Format: text/tab-separated-values, 665 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
    Publikationsdatum: 2020-11-17
    Beschreibung: Lava flow modeling is important in many practical applications, such as the simulation of potential hazard scenarios and the planning of risk mitigation measures, as well as in scientific research to improve our understanding of the physical processes governing the dynamics of lava flow emplacement. Existing predictive models of lava flow behavior include various methods and solvers, each with its advantages and disadvantages. Codes differ in their physical implementations, numerical accuracy, and computational efficiency. In order to validate their efficiency and accuracy, several benchmark test cases for computational lava flow modeling have been established. Despite the popularity gained by the Smoothed Particle Hydrodynamics (SPH) method in Computational Fluid Dynamics (CFD), very few validations against lava flows have been successfully conducted. At the Tecnolab of INGVCatania we designed GPUSPH, an implementation of the weakly-compressible SPH method running fully on Graphics Processing Units (GPUs). GPUSPH is a particle engine capable of modeling both Newtonian and non-Newtonian fluids, solving the three-dimensional Navier– Stokes equations, using either a fully explicit integration scheme, or a semi-implicit scheme in the case of highly viscous fluids. Thanks to the full coupling with the thermal equation, and its support for radiation, convection and phase transition, GPUSPH can be used to faithfully simulate lava flows. Here we present the preliminary results obtained with GPUSPH for a benchmark series for computational lava-flow modeling, including analytical, semi-analytical and experimental problems. The results are reported in terms of correctness and performance, highlighting the benefits and the drawbacks deriving from the use of SPH to simulate lava flows.
    Beschreibung: Published
    Beschreibung: VO224
    Beschreibung: 5V. Processi eruttivi e post-eruttivi
    Beschreibung: JCR Journal
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    Publikationsdatum: 2021-01-22
    Beschreibung: Particle systems, commonly associated with computer graphics, animation, and video games, are an essential component in the implementation of numerical methods ranging from the meshfree methods for computational fluid dynamics and related applications (e.g., smoothed particle hydrodynamics, SPH) to minimization methods for arbitrary problems (e.g., particle swarm optimization, PSO). These methods are frequently embarrassingly parallel in nature, making them a natural fit for implementation on massively parallel computational hardware such as modern graphics processing units (GPUs). However, naive implementations fail to fully exploit the capabilities of this hardware. We present practical solutions to the challenges faced in the efficient parallel implementation of these particle systems, with a focus on performance, robustness, and flexibility. The techniques are illustrated through GPUSPH, the first implementation of SPH to run completely on GPU, and currently supporting multi-GPU clusters, uniform precision independent of domain size, and multiple SPH formulations.
    Beschreibung: Published
    Beschreibung: 3IT. Calcolo scientifico
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: book chapter
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
    Publikationsdatum: 2021-05-12
    Beschreibung: This study applies the numerical model GPUSPH, an implementation of the weakly compressible smoothed particle hydrodynamics (SPH) method on graphics processing units, to simulate nearshore tsunami processes. Two sets of laboratory experiments that involve violent wave breaking are simulated by the three-dimensional numerical model. The first set of experiments addresses tsunamilike solitary wave breaking on and overtopping an impermeable seawall. Comparison with free-surface profiles and laboratory images shows that GPUSPH satisfactorily reproduces the complicated wave processes involving wave plunging, collapsing, splash-up, and overtopping. The other set of experiments investigates tsunamilike solitary wave breaking and inundation over shallow water reefs. The performance of GPUSPH is evaluated by comparing its results with (1) experimental data including free-surface measurements and cross-shore velocity profiles, and (2) published numerical results obtained in two mesh-based wave models: the nonhydrostatic wave model CCHE2D and the Boussinesq-type wave model FUNWAVE. The capability of GPUSPH to simulate nonlinear wave phenomena, such as wave shoaling, reflection, and refraction, is confirmed by comparing the wave field predicted by CCHE2D. Although all three models correctly simulate the solitary wave propagation offshore and the bore due to the broken wave run-up nearshore, GPUSPH outperforms CCHE2D and FUNWAVE in terms of resolving wave plunging and collapsing. The conducted two case studies show that the meshless SPH method is reliable for predicting tsunami breaking in the nearshore zone.
    Beschreibung: Published
    Beschreibung: 05016001
    Beschreibung: 4A. Oceanografia e clima
    Beschreibung: JCR Journal
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    Publikationsdatum: 2020-09-16
    Beschreibung: Between 28 March and 1 April 2020, Stromboli volcano erupted, with overflows from the NE crater rim spreading along the barren Sciara del Fuoco slope and reaching the sea along the NW coast of the island. Poor weather conditions did not allow a detailed observation of the crater zone through the cameras monitoring network, but a clear view of the lower slope and the flows expanding in the area allowed us to characterize the flow features. This evidence was integrated with satellite, GBInSAR, and seismic data, thus enabling a reconstruction of the whole volcanic event, which involved several small collapses of the summit cone and the generation of pyroclastic density currents (PDCs) spreading along the slope and on the sea surface. Satellite monitoring allowed for the mapping of the lava flow field and the quantification of the erupted volume, and GBInSAR continuous measurements detected the crater widening and the deflation of the summit cone caused by the last overflow. The characterization of the seismicity made it possible to identify the signals that are associated with the propagation of PDCs along the volcano flank and, for the first time, to recognize the signal that is produced by the impact of the PDCs on the coast.
    Beschreibung: This work has been financially supported by the “Presidenza del Consiglio dei Ministri—Dipartimento della Protezione Civile” (Presidency of the Council of Ministers–Department of Civil Protection) (DPC-UNIFI Agreement 2019–2021; Scientific Responsibility: N.C.); this publication, however, does not necessarily reflect the position and the official policies of the Department. Additional funds for paper publication have been provided by INGV-OE.
    Beschreibung: Published
    Beschreibung: 3010
    Beschreibung: 6V. Pericolosità vulcanica e contributi alla stima del rischio
    Beschreibung: JCR Journal
    Schlagwort(e): Stromboli ; Volcanic hazard ; Volcanic hazard assessment ; Multidisciplinary data integration ; Stromboli Volcano monitoring ; 04.08. Volcanology
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 10
    Publikationsdatum: 2020-11-17
    Beschreibung: The past few decades have seen an explosion of satellite remote sensing techniques for the monitoring of volcanic thermal features. Here, we propose an artificial neural network approach for improving the cloud detection through imperfect multispectral satellite images analysis. The cloud detection algorithm has been tested on a data set of MSGSEVIRI images acquired over the area of Etna volcano in Sicily (Italy) before and during the 2008 eruption. Results show that this approach is robust in terms of percentage of correctly classified pixels.
    Beschreibung: Published
    Beschreibung: 1443-1447
    Beschreibung: 6V. Pericolosità vulcanica e contributi alla stima del rischio
    Beschreibung: N/A or not JCR
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
    Standort Signatur Einschränkungen Verfügbarkeit
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