Search results for "Geophysics"

showing 10 items of 2645 documents

Modelling sediment delivery processes by a stream tube approach

1999

Abstract The sediment delivery processes due to the travel along a hydraulic path having an uniform slope and to the concave shape of the path are modelled. In particular, using a power equation for modelling the slope profile and RUSLE with two different expressions of the topographic factors, a criterion to define the erosion active slope length, i.e. the slope length in which no deposition processes occur, is initially proposed. Then, the RUSLE equation is adapted to concave profiles by a correction factor of the topographic factors depending on slope curvature. Finally, the deduced relationships (equations (19) and (27)) for correcting the topographic factors for a concave slope are exp…

Slope lengthSediment yieldErosionSedimentGeometryTube (container)CurvatureGeomorphologyPhysics::Atmospheric and Oceanic PhysicsDeposition (geology)GeologyPhysics::GeophysicsWater Science and Technology
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Diffuse and focused carbon dioxide and methane emissions from the Sousaki geothermal system, Greece

2006

[1] We report first data on chemical composition of the gas emitted by the geothermal system of Sousaki, Greece. Gas manifestations display typical geothermal gas composition with CO2 as the main component and CH4 and H2S as minor species. Soil gas composition derives from the mixing of two end-members (atmospheric air and geothermal gas). Soil CO2 fluxes range from<2 to 33,400 g m−2 d−1. The estimated diffuse output of hydrothermal CO2, estimated for an area of 0.015 km2, is about 630 g s−1, while a tentative estimation of CH4 diffuse output gave a value of about 1.15 g s−1. Point sources accounted for lower flux values of ∼26 g s−1 of CO2, ∼0.1 g s−1 of CH4 and ∼0.02 g s−1 of H2S.

Soil gasSettore GEO/07 - Petrologia E PetrografiaMineralogysoussaki carbon dioxide emissionsMethanechemistry.chemical_compoundGeophysicschemistryGreenhouse gasCarbon dioxideSoil waterGeneral Earth and Planetary SciencesEnvironmental scienceGas compositionChemical compositionGeothermal gradientGeophysical Research Letters
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Integrating geophysical and geostatistical techniques to map the spatial variation of clay

2012

Abstract The development of subsoil models represents an important aspect of land resource evaluation, because they can provide an accurate description of the spatial variability in soil properties. Although direct soil sampling provides the best information in terms of soil properties, sample density is rarely adequate to accurately describe the horizontal and vertical variability of the physical properties of soil. Geophysical methods, such as Ground Penetrating Radar (GPR) and electromagnetic induction (EMI) sensors, provide rapid, non-invasive and exhaustive ways for subsoil characterization. Moreover, geophysical methods can be integrated with geostatistics to map soil properties. This…

Soil mapGPRUnivariateGPR; EMI; Geostatistics; IRF-k; Clay content; SOIL PROPERTIES; ELECTRICAL-CONDUCTIVITY; PREDICTION; REGRESSION; ELEVATIONSoil ScienceSampling (statistics)Soil scienceGeostatisticsGeophysicsIRF-kKrigingGeostatisticSettore AGR/14 - PedologiaGround-penetrating radarClay contentSpatial variabilityEMISubsoilGeology
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Short-term changes in soil Munsell colour value, organic matter content and soil water repellency after a spring grassland fire in Lithuania

2014

Abstract. Fire is a natural phenomenon with important implications on soil properties. The degree of this impact depends upon fire severity, the ecosystem affected, topography of the burned area and post-fire meteorological conditions. The study of fire effects on soil properties is fundamental to understand the impacts of this disturbance on ecosystems. The aim of this work was to study the short-term effects immediately after the fire (IAF), 2, 5, 7 and 9 months after a low-severity spring boreal grassland fire on soil colour value (assessed with the Munsell colour chart), soil organic matter content (SOM) and soil water repellency (SWR) in Lithuania. Four days after the fire a 400 m2 plo…

Soil testStratigraphywaterSoil ScienceGrasslandSoillcsh:StratigraphyGeochemistry and PetrologySoil Science; Earth-Surface Processes; Geochemistry and Petrology; Geology; Geophysics; Paleontology; StratigraphyOrganic matterEcosystemGeophysicEarth-Surface Processeslcsh:QE640-699chemistry.chemical_classificationHydrologygeographygeography.geographical_feature_categorySoil organic matterlcsh:QE1-996.5PaleontologySampling (statistics)GeologyLithuaniaFireSettore AGR/02 - Agronomia E Coltivazioni Erbaceelcsh:GeologyGeophysicschemistryBorealEarth-Surface ProcesseSoil waterEnvironmental scienceOrganic matter
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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 &amp; 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&#13; occurred in the southern Tyrrhenian Sea between 1988 and October 2002, as an attempt&#13; to characterise the main seismogenetic processes active in the area in space, time and magnitude domain by means of the parameters of phenomenological laws.&#13; &#13; We chose to adopt simple phenomenological models, since the low number of data did&#13; not allow to use more complex laws.&#13; &#13; The two main seismogenetic volumes present in the area were considered for the purpose&#13; of this work. The first includes a nearly homogeneous distribution of hypocentres in a&#13; 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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