Search results for "QC801-809"

showing 9 items of 49 documents

Passive degassing at Nyiragongo (D.R. Congo) and Etna (Italy) volcanoes

2014

Volcanoes are well known as an impressive large natural source of trace elements into the troposphere. Etna (Italy) and Nyiragongo (D.R. Congo) are two stratovolcanoes located in different geological settings, both characterized by persistent passive degassing from their summit craters. Here, we present some results on trace element composition in volcanic plume emissions, atmospheric bulk deposition (rainwater) and their uptake by the surrounding vegetation, with the aim to compare and identify differences and similarities between these two volcanoes. Volcanic emissions were sampled by using active filter-packs for acid gases (sulfur and halogens) and specific teflon filters for particulat…

geographyTrace elementsgeography.geographical_feature_categorylcsh:QC801-809Trace elementGeochemistryMineralogyParticulatesvolcanic emissionslcsh:QC851-999Settore GEO/08 - Geochimica E VulcanologiaTroposphereAtmospherelcsh:Geophysics. Cosmic physicsGeophysicsDeposition (aerosol physics)VolcanoImpact craterrainwater biomonitoringStratovolcanolcsh:Meteorology. Climatologyvolcanic degassing trace elements biomonitoring atmospheric depositionGeology
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Trace elements mobility in soils from the active hydrothermal area of Nisyros (Greece)

2014

Nisyros Island, Greece, is a stratovolcano known for its intense hydrothermal activity. On June 2013, during a multidisciplinary field campaign, soil samples were collected in the caldera area to determinate the main mineralogical paragenesis and to investigate the distribution of trace elements concentrations and the possible relationship to the contribution of deep originated fluids. Soil samples were analysed with XRD and for the chemical composition of their leachable (deionized water) and near total (microwave digestion) fraction both for major and trace elements. All data were compared to a local background soil. The results allow to divide the samples in 2 groups: Lakki Plain and Ste…

geographygeography.geographical_feature_categorySoil testvolatile elementslcsh:QC801-809Trace elementtrace elements Greece hydrothermal emissions biomonitoringMineralogyvolcanoeslcsh:QC851-999Hydrothermal circulationSettore GEO/08 - Geochimica E Vulcanologialcsh:Geophysics. Cosmic physicsGeophysicsVolcanoSoil waterCalderalcsh:Meteorology. ClimatologyVolatilesChemical compositionfumarolic gasesGeology
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Vulcamera: a program for measuring volcanic SO2 using UV cameras

2011

We report here on Vulcamera, a stand-alone program for the determination of volcanic SO2  fluxes using ultraviolet cameras. The code enables field image acquisition and all the required post-processing operations.<br />

geographygeography.geographical_feature_categorylcsh:QC801-809lcsh:QC851-999medicine.disease_causelcsh:Geophysics. Cosmic physicsGeophysicsVolcanomedicineEnvironmental scienceImage acquisitionlcsh:Meteorology. ClimatologyUltravioletRemote sensingAnnals of Geophysics
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Effects of the 6th September 2002 earthquake: damage amplification in the south-eastern sector of Palermo explained by GIS technology

2009

During the 6th September 2002 earthquake the highest damage level in Palermo was observed in the SE sector.
 This is a recent urbanization area where reinforced concrete structures predominate. A detailed analysis of soil
 properties in Palermo was carried out by City-GIS to investigate a possible role of nearsurface geology on earthquake
 effects. City-GIS is a tool dedicated to natural hazard evaluation in urban areas. The availability of high
 density of well log data (stratigraphic and geotechnical) allowed a realistic modeling of surface geology and
 physical-mechanical properties that control the seismic response. In wide zones of the above mentioned sector
 of…

geographyseismic responseFlyschgeography.geographical_feature_categoryOutcropBedrocklcsh:QC801-809Terrainlcsh:QC851-999GISPalermoCalcarenitelcsh:Geophysics. Cosmic physicsGeophysicsNatural hazardCohesion (geology)site effectslcsh:Meteorology. ClimatologyAlluviumGeomorphologySeismologyGeologyAnnals of Geophysics
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The classification of submerged vegetation using hyperspectral MIVIS data

2009

The aim of this research is to use hyperspectral MIVIS data to map the Posidonia oceanica prairies in a coastal lagoon (Stagnone di Marsala). It is approximately 12 km long and 2 km wide and is linked to the open sea by two shallow openings. This environment is characterised by prairies of phanerogams, the most common of which is Posidonia oceanica, an ideal habitat for numerous species of fish, molluscs and crustaceans. A knowledge of the distribution of submerged vegetation is useful to monitor the health of the lagoon. In order to classify the MIVIS imagery, the attenuation effects of the water column have been removed from the signal using Lyzenga’s technique. A comparison between class…

hyperspectral imagerSpectrometerbiologylcsh:QC801-809shallow watersubmerged vegetationHyperspectral imagingVegetationlcsh:QC851-999biology.organism_classificationwater column correctionWaves and shallow waterlcsh:Geophysics. Cosmic physicsGeophysicsWater columnhyperspectral imageryHabitatHomogeneousPosidonia oceanicaEnvironmental sciencelcsh:Meteorology. ClimatologyRemote sensingAnnals of Geophysics
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Recurrence time distribution and temporal clustering properties of a cellular automaton modelling landslide events

2018

Abstract. Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate probability distribution of recurrence time intervals. Although landslides are widespread and frequent in many parts of the world, complete databases of landslide occurrences over large periods are missing and often such natural disasters are treated as processes uncorrelated in time and, therefore, Poisson distributed. In this paper, we examine the recurrence time statistics of landslide events simulated by a cellular automaton model that reproduces well the actual frequency-size statistics of landslide catalogues. The complex time series are analysed by varying both the threshold…

landslideFano factorSeries (mathematics)probabilityCrossoverlcsh:QC801-809modelingLandslidePoisson distributionCellular automatonlcsh:QC1-999Physics::Geophysicstemporal analysisymbols.namesakelcsh:Geophysics. Cosmic physicsStatisticssymbolsProbability distributionlcsh:Qcellular automatonlcsh:ScienceWeibull theoryGeologylcsh:PhysicsWeibull distributionNonlinear Processes in Geophysics
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Impact of the terrestrial reference frame on the determination of the celestial reference frame.

2022

Currently three up-to-date Terrestrial Reference Frames (TRF) are available, the ITRF2014 from IGN, the DTRF2014 from DGFI-TUM, and JTRF2014 from JPL. All use the identical input data of space-geodetic station positions and Earth orientation parameters, but the concept of combining these data is fundamentally different. The IGN approach is based on the combination of technique solutions, while the DGFI is combining the normal equation systems. Both yield in reference epoch coordinates and velocities for a global set of stations. JPL uses a Kalman filter approach, realizing a TRF through weekly time series of geocentric coordinates. As the determination of the CRF is not independent of the T…

lcsh:QB275-343010504 meteorology & atmospheric sciencesEpoch (astronomy)lcsh:Geodesylcsh:QC801-809Kalman filter010502 geochemistry & geophysicsGeodesyMissing data01 natural sciencesGeocentric coordinateslcsh:Geophysics. Cosmic physicsGeophysicsPosition (vector)Computers in Earth SciencesTerrestrial reference frameLinear least squares0105 earth and related environmental sciencesEarth-Surface ProcessesReference frameMathematicsGeodesy and geodynamics
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Approaching electrical tomography

2009

A general approach to electrical tomography is here described, based on the distribution of the experimental data to the set of voxels in which the subsoil has been divided. This approach utilizes the sensitivity coefficients as factors of the convolution procedure to execute the back projection of the data, to obtain the 3D pictures of the subsoil. A subsequent probabilistic filtering technique is described to improve the pictures in view of sharp boundary models. Some models are finally presented, mostly regarding cubic buried anomalies as well as pipe-shaped and L-shaped anomalies.

lcsh:QC801-809Probabilistic logicBoundary (topology)Geometrylcsh:QC851-999computer.software_genreConvolutionSet (abstract data type)Electrical tomographylcsh:Geophysics. Cosmic physicsGeophysicsDistribution (mathematics)Voxelelectrone gridback projectionlcsh:Meteorology. ClimatologySensitivity (control systems)TomographycomputerAlgorithmMathematicsAnnals of Geophysics
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Grand Challenges in Acoustic Remote Sensing: Discoveries to Support a Better Understanding of Our Changing Planet

2022

soundQC801-809Meteorology. ClimatologyGeophysics. Cosmic physicstransducersQC851-999acousticssonarsoundscapessensorsFrontiers in Remote Sensing
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