0000000000270513

AUTHOR

L. De Siena

showing 5 related works from this author

Understanding seismic path biases and magmatic activity at Mount St Helens volcano before its 2004 eruption

2020

SUMMARY In volcanoes, topography, shallow heterogeneity and even shallow morphology can substantially modify seismic coda signals. Coda waves are an essential tool to monitor eruption dynamics and model volcanic structures jointly and independently from velocity anomalies: it is thus fundamental to test their spatial sensitivity to seismic path effects. Here, we apply the Multiple Lapse Time Window Analysis (MLTWA) to measure the relative importance of scattering attenuation vs absorption at Mount St Helens volcano before its 2004 eruption. The results show the characteristic dominance of scattering attenuation in volcanoes at lower frequencies (3–6 Hz), while absorption is the primary atte…

Seismic attenuationgeographySeismic tomographygeography.geographical_feature_categoryNorth America; Coda waves; Seismic attenuation; Seismic tomography; Volcano seismology; Wave scattering and diffraction010504 meteorology & atmospheric sciencesCoda wavesVolcano seismology010502 geochemistry & geophysics01 natural sciencesMountGeophysicsVolcanoGeochemistry and PetrologySeismic tomographyWave scattering and diffractionNorth AmericaPath (graph theory)Volcano seismologySeismologyGeology0105 earth and related environmental sciencesGeophysical Journal International
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Geomorphology and surface geology of Mount St. Helens volcano

2020

Mount St. Helens is a stratovolcano of the Cascadia volcanic arc well known worldwide for its volcanic collapse and eruption in 1980, which caused considerable destruction and changed the geomorphology of the volcano and of a considerable portion of its surroundings. This paper presents a geomorphology and surface-geology map of both the wider Mount St. Helens, Washington (USA), at the 1:50,000 scale, and of its crater, at the 1:25,000 scale. The map is obtained from the interpretation of two high-resolution, air-borne acquired, digital terrain models, LiDAR dataset, combined with Google Earth imaging, geological information and field surveys. The geomorphology of the area is largely domina…

lcsh:MapsSurficial geologygeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesVolcanic arcGeomorphological mappingGeography Planning and DevelopmentGeochemistrygeomorphology010502 geochemistry & geophysics01 natural sciencesMountVolcanolcsh:G3180-9980mount st. helensEarth and Planetary Sciences (miscellaneous)Stratovolcanovolcanic geomorphologysurficial geologyGeologyAeolian archipelagogeomorphological mapping0105 earth and related environmental sciences
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3-D attenuation image of fluid storage and tectonic interactions across the Pollino fault network

2021

SUMMARYThe Pollino range is a region of slow deformation where earthquakes generally nucleate on low-angle normal faults. Recent studies have mapped fault structures and identified fluid-related dynamics responsible for historical and recent seismicity in the area. Here, we apply the coda-normalization method at multiple frequencies and scales to image the 3-D P-wave attenuation (QP) properties of its slowly deforming fault network. The wide-scale average attenuation properties of the Pollino range are typical for a stable continental block, with a dependence of QP on frequency of $Q_\mathrm{ P}^{-1}=(0.0011\pm 0.0008) f^{(0.36\pm 0.32)}$. Using only waveforms comprised in the area of seism…

Body Waves; Seismic attenuation; Seismic tomography; Fractures; faults and high strain deformation zonesSeismic attenuationgeographySeismic tomographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesBody wavesAttenuationand high strain deformation zonesfaultsFault (geology)010502 geochemistry & geophysics01 natural sciencesImage (mathematics)TectonicsGeophysicsBody WavesGeochemistry and PetrologySeismic tomographyFracturesGeologySeismology0105 earth and related environmental sciencesGeophysical Journal International
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Volcanic structures investigation through SAR and seismic interferometric methods: The 2011-2013 Campi Flegrei unrest episode

2019

Observations from satellites provide high-resolution images of ground deformation allowing to infer deformation sources by developing advanced modeling of magma ascent and intrusion processes. Nevertheless, such models can be strongly biased without a precise model of the internal structure of the volcano. In this study, we jointly exploited two interferometric techniques to interpret the 2011–2013 unrest at Campi Flegrei caldera (CFc). The first is the Interferometric Synthetic Aperture Radar (InSAR) technique, which provides highly-resolved spatial and temporal images of ground deformation. The second is the Ambient Noise Tomography (ANT), which images subsurface structures, providing the…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyAmbient noise levelSoil Science02 engineering and technologyInduced seismicityDeformation (meteorology)01 natural sciencesInSARTotal horizontal derivativeSillInterferometric synthetic aperture radarCalderaComputers in Earth SciencesNatural seismicity0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryGeology020801 environmental engineeringCampi Flegrei calderaVolcanoAmbient noise tomographyMagmaGeologySeismology
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A record of seafloor methane seepage across the last 150 million years

2020

<p>Methane seepage at the seafloor is a source of carbon in the marine environment and has long been recognized as an important window into the deep geo-, hydro-, and bio-spheres. However, the processes and temporal patterns of natural methane emission over multi-million-year time scales are still poorly understood. The microbially-mediated methane oxidation leads to the precipitation of authigenic carbonate minerals within subseafloor sediments, thus providing a potentially extensive record of past methane emission. In this study, we used data on methane-derived authigenic carbonates to build a proxy time series of seafloor methane emission over the last 150 My. We quantitat…

010504 meteorology & atmospheric sciencesEarth scienceCarbonate mineralslcsh:Medicine010502 geochemistry & geophysics01 natural sciencesMethaneArticlechemistry.chemical_compoundlcsh:ScienceSea level0105 earth and related environmental sciencesTotal organic carbonMultidisciplinarylcsh:RBiogeochemistryCretaceousSeafloor spreadingOceanographyOcean scienceschemistryEnvironmental scienceSeawaterlcsh:QArctic methane releaseGeologyScientific Reports
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