Search results for "Geophysic"

showing 10 items of 2684 documents

Impact of acidic volcanic emissions on ash leaching and on the bioavailability and mobility of trace metals in soils of Mt Etna

2021

We report on original geochemical data, which combine the rainfall trace metal contents from three different areas of Mt. Etna, variably fumigated by the volcanic plume, and those from soils, collected over the whole volcano. Trace element contents in rainfall appear mostly related to acidic ash leaching, while only for the most volatile elements (Cu, Zn, Cd, Pb, As, Sb, Tl, Se) we suggest a derivation from magmatic degassing. We analyzed separately the labile fraction of soil samples, considered the fraction bioavailable to plants and soil organisms living in. The complexing medium used to extract the bioavailable fraction simulates the growth environment of plant roots.The contents of tra…

Soil testTrace elementGeologySoil carbon010502 geochemistry & geophysics01 natural sciencesSoil pHEnvironmental chemistrySoil waterGeneral Earth and Planetary SciencesEnvironmental scienceTrace metalLeaching (metallurgy)Mt. Etna Rainwater Soil Trace elementsVolatiles0105 earth and related environmental sciences
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Are high-temperature fractionations in the solar nebula preserved in highly siderophile element systematics of the Earth's mantle?

2004

The relative abundances of the highly siderophile elements (HSE) Os, Ir, Ru, Pt, Rh, and Pd in relatively pristine lherzolites differ from solar abundance ratios and are several orders of magnitude higher than predicted for equilibrium distribution between metal/silicate (core-mantle). The samples are characterized by a mean Ca/Al ratio of 1.18 ± 0.09 σM and a mean Ca/Si ratio of 0.10 ± 0.01 σM, overlapping with a mean Ca/Al of 1.069 ±  0.044 σM and a mean Ca/Si of 0.081 ± 0.023 σM found in chondrites (Wasson and Kallemeyn 1988). Interestingly, the CI-normalized abundance pattern shows decreasing solar system normalized abundances with increasing condensation temperatures. The abundance of …

Solar SystemGeochemistryAnalytical chemistryengineering.materialSilicatechemistry.chemical_compoundGeophysicschemistrySpace and Planetary ScienceAbundance (ecology)ChondriteEnstatiteengineeringFormation and evolution of the Solar SystemGeologyEarth (classical element)Refractory (planetary science)Meteoritics & Planetary Science
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Solar storm effects during Saint Patrick's Days in 2013 and 2015 on the Schumann resonances measured by the ELF station at Sierra Nevada (Spain)

2016

Solar storm of 1859PhysicsGeophysics010504 meteorology & atmospheric sciencesSchumann resonancesSpace and Planetary Science0103 physical sciencesSAINTAtmospheric sciences010303 astronomy & astrophysics01 natural sciences0105 earth and related environmental sciencesJournal of Geophysical Research: Space Physics
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Neural network prediction of AE data

1997

Neural network (NN) models were constructed to study prediction of the AE index. Both solar wind (vBz) and previous observed AE inputs were used to predict AE data for different numbers of time steps ahead. It seems that prediction of the original unsmoothed AE data is possible only for 10 time steps (25 min) ahead. The predicted time series of the AE data for 50 time steps (125 min) ahead was found to be dynamically different from the original time series. It is possible that the NN model cannot reproduce the turbulent part of the power spectrum of the AE data. However, when using smoothed AE data the prediction for 10 time steps ahead gave an NMSE of 0.0438, and a correlation coefficient …

Solar windGeophysicsIndex (economics)Series (mathematics)Correlation coefficientArtificial neural networkMeteorologyGeneral Earth and Planetary SciencesSpectral densitySolar physicsLead timeMathematicsGeophysical Research Letters
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Continental degassing of helium in an active tectonic setting (northern Italy): the role of seismicity

2020

AbstractIn order to investigate the variability of helium degassing in continental regions, its release from rocks and emission into the atmosphere, here we studied the degassing of volatiles in a seismically active region of northern Italy (MwMAX = 6) at the Nirano-Regnano mud volcanic system. The emitted gases in the study area are CH4–dominated and it is the carrier for helium (He) transfer through the crust. Carbon and He isotopes unequivocally indicate that crustal-derived fluids dominate these systems. An high-resolution 3-dimensional reconstruction of the gas reservoirs feeding the observed gas emissions at the surface permits to estimate the amount of He stored in the natural reserv…

Solid Earth sciencesSettore GEO/02 - Geologia Stratigrafica E Sedimentologica010504 meteorology & atmospheric sciencesSettore GEO/03 - Geologia Strutturalelcsh:Medicinechemistry.chemical_elementInduced seismicity010502 geochemistry & geophysics01 natural sciencesArticleAtmosphereDegassingDiffusion (business)lcsh:SciencePetrologyHelium0105 earth and related environmental sciencesgeographyMultidisciplinarygeography.geographical_feature_categorylcsh:RCrustSettore GEO/08 - Geochimica E VulcanologiaStress fieldtectonicTectonicsGeochemistrychemistryVolcanolcsh:QseismicityGeologyScientific Reports
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Southern-Tyrrhenian seismicity in space-time-magnitude domain

2006

An analysis is conducted on a catalogue containing more than 2000 seismic events
 occurred in the southern Tyrrhenian Sea between 1988 and October 2002, as an attempt
 to characterise the main seismogenetic processes active in the area in space, time and magnitude domain by means of the parameters of phenomenological laws.
 
 We chose to adopt simple phenomenological models, since the low number of data did
 not allow to use more complex laws.
 
 The two main seismogenetic volumes present in the area were considered for the purpose
 of this work. The first includes a nearly homogeneous distribution of hypocentres in a
 NW steeply dipping layer as far as a…

Southern-Tyrrhenian SeaPlane (geometry)Space timelcsh:QC801-809Magnitude (mathematics)Southern-Tyrrhenian Sea statistical models aftershock sequences background seismicitystatistical modelslcsh:QC851-999Induced seismicityHomogeneous distributionDomain (mathematical analysis)lcsh:Geophysics. Cosmic physicsGeophysicsaftershock sequencesLithosphereSlablcsh:Meteorology. ClimatologySeismologyGeologybackground seismicity.Annals of Geophysics
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A machine learning algorithm for direct detection of axion-like particle domain walls

2021

The Global Network of Optical Magnetometers for Exotic physics searches (GNOME) conducts an experimental search for certain forms of dark matter based on their spatiotemporal signatures imprinted on a global array of synchronized atomic magnetometers. The experiment described here looks for a gradient coupling of axion-like particles (ALPs) with proton spins as a signature of locally dense dark matter objects such as domain walls. In this work, stochastic optimization with machine learning is proposed for use in a search for ALP domain walls based on GNOME data. The validity and reliability of this method were verified using binary classification. The projected sensitivity of this new analy…

Space and Planetary SciencePhysics - Data Analysis Statistics and ProbabilityFOS: Physical sciencesddc:530Astronomy and AstrophysicsAstrophysics - Instrumentation and Methods for AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Data Analysis Statistics and Probability (physics.data-an)Physics::Geophysics
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Data repeatability and acquisition techniques for Time-Domain Spectral Induced Polarization

2013

The Time Domain Induced Polarization (TDIP) technique is widely used in applied geophysics, particularly for environmental issues, for instance for delineating landfills or detecting leachate percolation. Because the reliability of IP data remains an issue at the field scale, this paper deals with the factors controlling data quality and compares different arrays and acquisition parameters for optimal collection of data in the field. The first part focuses on repeatability experiments carried out in the former Horlokke landfill (Denmark), in order to infer the degree of which a signal can be reproduced over time. Results show a good repeatability, with on average less than 10% of difference…

Spectral induced polarisationgeophysicsMineralogyScale (descriptive set theory)RepeatabilityInduced polarizationSignalGeophysicsData qualityspectral induced polarizationspectralTime domainAlgorithmGeologyReliability (statistics)
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Sulfuric acid speleogenesis (SAS) close to the water table: Examples from southern France, Austria, and Sicily

2016

Caves formed by rising sulfuric waters have been described from all over the world in a wide variety of climate settings, from arid regions to mid-latitude and alpine areas. H2S is generally formed at depth by reduction of sulfates in the presence of hydrocarbons and is transported in solution through the deep aquifers. In tectonically disturbed areas major fractures eventually allow these H2S-bearing fluids to rise to the surface where oxidation processes can become active producing sulfuric acid. This extremely strong acid reacts with the carbonate bedrock creating caves, some of which are among the largest and most spectacular in the world. Production of sulfuric acid mostly occurs at or…

Speleogenesi010504 meteorology & atmospheric sciencesWater tableSettore GEO/04 - Geografia Fisica E GeomorfologiaGeochemistry[SDU.STU]Sciences of the Universe [physics]/Earth SciencesAquifer010502 geochemistry & geophysics01 natural scienceschemistry.chemical_compoundPaleontologyCaveSpeleogenesis0105 earth and related environmental sciencesEarth-Surface ProcessesCondensation-corrosiongeographygeography.geographical_feature_categoryHypogenic karstBedrockAuthigenicchemistry13. Climate actionSulfuric acid caveSubaerialCave morphologyCarbonateSulfuric acid caves Hypogenic karst Cave morphology Speleogenesis Condensation–corrosionGeology
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Sulfuric acid caves of Italy: A review

2019

Abstract In Italy, especially along the Apennine Chain, numerous active and inactive sulfuric acid speleogenetic (SAS) caves have been documented in the last two decades. Here we present an overview of these peculiar hypogene systems, illustrating their main geomorphological and mineralogical features, and the microbial signatures observed in the active underground environment. SAS caves are widely distributed in the northern and central Apennines, whereas they are less abundant in the southern Apennines, in the Apulian foreland, in Sicily and in Sardinia. Their location is significantly influenced by lithological and structural rock properties, as they occur in carbonate areas where acidic…

SpeleogenesigeographyCave sulfategeography.geographical_feature_category010504 meteorology & atmospheric sciencesEvaporiteHypogeneSettore GEO/04 - Geografia Fisica E GeomorfologiaGeochemistryKarst010502 geochemistry & geophysicsKarstAlunite01 natural scienceschemistry.chemical_compoundHypogene caveCavechemistryCarbonateSpeleogenesisHypogene caves Speleogenesis Karst Cave sulfatesForeland basinGeology0105 earth and related environmental sciencesEarth-Surface Processes
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