Search results for "oceanic"

showing 10 items of 642 documents

INFLUENCE OF POSIDONIA OCEANICA MEADOW DENSITY ON FLOW RESISTANCE IN SHALLOW WATERS

2008

Aquatic vegetation considerably affects circulation in water bodies with influence increasing as the depth decreases. On the other hand, increasing use of mathematical circulation models for management of coastal sea waters, lagoons and marshes requires determination of such effects and in particular of flow resistance. A typical plant of inshore sandy beds, less than 40 m deep, in the Mediterranean Sea is Posidonia oceanica, which is constituted by a tuft of very thin and flexible ribbon-like leaves about 1 cm wide and up to 1.5 m long. This plant forms meadows with areal density usually ranging between 500 and 1000 plants/m2. Because of its characteristics, Posidonia oceanica constitutes …

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaFlow resistance aquatic vegetation Posidonia oceanica vegetation densitySettore ICAR/01 - Idraulica
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Energy balance in single exposure multispectral sensors

2013

International audience; Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation of typical sensor configurations.

SiliconMaterials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingoptical sensorsChannel (digital image)Equations[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetectorGaussian processes02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010309 opticssymbols.namesakeMathematical model[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringTransmittanceComputer Science::Networking and Internet ArchitectureSpectral and color filter arraysoptical filtersOptical filterGaussian processPhysics::Atmospheric and Oceanic Physics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRemote sensingtransmittance filterSubstratesSensorsGaussian modelmultispectral solid state sensorCamerasenergy balancespectral analysisConvolutionexposure multispectral sensorComputer Science::Computer Vision and Pattern Recognitionsubstrate absorptionlight absorptionlight sensorsymbolstransmittance filters020201 artificial intelligence & image processingGaussian network model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEnergy (signal processing)
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The role of slabs and oceanic plate geometry in the net rotation of the lithosphere, trench motions, and slab return flow

2012

[1] Absolute plate motion models with respect to a deep mantle reference frame (e.g., hot spots) typically contain some net rotation (NR) of the lithosphere. Global mantle flow models for the present-day plate setting reproduce similarly oriented NRs but with amplitudes significantly smaller than those found in some high NR Pacific hot spot reference frames. It is therefore important to understand the mechanisms of NR excitation, which we attempt here with two-dimensional cylindrical models of an idealized Pacific domain. We study the influence of slab properties, oceanic ridge position, continental keels, and a weak asthenospheric layer on NR and trench migration. Fast slab return flow dev…

Slab suctiongeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesMid-ocean ridgeGeophysics010502 geochemistry & geophysics01 natural sciencesMantle (geology)Geophysics13. Climate actionGeochemistry and PetrologyLithosphereOceanic crustTrenchSlab windowSlabSeismologyGeology0105 earth and related environmental sciencesGeochemistry, Geophysics, Geosystems
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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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Technical Note: Sensitivity of 1-D smoke plume rise models to the inclusion of environmental wind drag

2010

Abstract. Vegetation fires emit hot gases and particles which are rapidly transported upward by the positive buoyancy generated by the combustion process. In general, the final vertical height that the smoke plumes reach is controlled by the thermodynamic stability of the atmospheric environment and the surface heat flux released by the fire. However, the presence of a strong horizontal wind can enhance the lateral entrainment and induce additional drag, particularly for small fires, impacting the smoke injection height. In this paper, we revisit the parameterization of the vertical transport of hot gases and particles emitted from vegetation fires, described in Freitas et al. (2007), to in…

SmokeAtmospheric ScienceBuoyancyMeteorologyInflowAtmospheric modelRadiusengineering.materialEntrainment (meteorology)Atmospheric sciencesPlumeDragengineeringEnvironmental sciencePhysics::Atmospheric and Oceanic PhysicsAtmospheric Chemistry and Physics
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SIOPRED performance in a Forecasting Blind Competition

2012

In this paper we present the results obtained by applying our automatic forecasting support system, named SIOPRED, over a data set of time series in a Forecasting Blind Competition. In order to apply our procedure for providing point forecasts it has been necessary to develop an interactive strategy for the choice of the suitable length of the seasonal cycle and the seasonality form for a generalized exponential smoothing method, which have been obtained using SIOPRED. For the choice of those essential characteristics of forecasting methods, also a certain multi-objective formulation which minimizes several measures of fitting is used. Once these specifications are established, the model pa…

Soft computingData setCompetition (economics)Mathematical optimizationSeries (mathematics)Computer scienceExponential smoothingPoint (geometry)Physics::Atmospheric and Oceanic PhysicsSmoothingNonlinear programming2012 IEEE Conference on Evolving and Adaptive Intelligent Systems
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Biochar from byproduct to high value added material – A new adsorbent for toxic metal ions removal from aqueous solutions

2018

Abstract An activated biochar coming from pyrolysis of dead Posidonia oceanica residues has been tested as adsorbent material for Cd2+, Pb2+ and Cu2+ ions. The biomass, the activated and the non activated biochars were previously characterized by using several instrumental techniques. The pH of metal ion solution in kinetic and thermodynamic adsorption experiments was fixed at 5 whilst, the dependence on ionic medium, ionic strength and temperature have been evaluated carrying out batch experiments at different experimental conditions. Differential Pulse Anodic Stripping Voltammetry and Inductively Coupled Plasma Optical Emission Spectroscopy have been used to measure the metal ion concentr…

Speciation020209 energyMetal ions in aqueous solutionInorganic chemistryIonic bondingToxic metal02 engineering and technology010501 environmental sciences01 natural sciencesAdsorptionBiochar0202 electrical engineering electronic engineering information engineeringMaterials ChemistryToxic metalsSettore CHIM/01 - Chimica AnaliticaPhysical and Theoretical ChemistryMaterialsSpectroscopy0105 earth and related environmental sciencesAqueous solutionChemistryPosidonia oceanicaCondensed Matter PhysicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBiocharAnodic stripping voltammetryIonic strengthAdsorptionPyrolysisJournal of Molecular Liquids
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Model, software and database for line-mixing effects in the nu3 and nu4 bands of CH4 and tests using laboratory and planetary measurements - II : H2 …

2006

International audience; The absorption shapes of the nu(2), nu(3) and nu(4) infrared bands of CH4 perturbed by H-2 in large ranges of pressure and temperature have been measured in the laboratory. In order to model these spectra, the theoretical approach accounting for line-mixing effects proposed for CH4-N-2 and CH4-air and successfully tested in the companion paper (1), is used. As before, state-to-state rotational rates are used together with some empirical parameters that are deduced from a fit of a single room temperature spectrum of the nu(3) band at about 50 atm. The comparisons between measured and calculated spectra in the nu(3) and nu(4) regions under a vast variety of conditions …

Spectral shape analysis010504 meteorology & atmospheric sciencesInfraredcomputer.software_genre01 natural sciences7. Clean energyJovianSpectral line0103 physical sciencesRadiative transferAbsorption (electromagnetic radiation)Spectroscopy0105 earth and related environmental sciencesLine (formation)Physics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Radiation010304 chemical physicsSpectrometerDatabasemethane infrared spectraAtomic and Molecular Physics and Optics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]13. Climate actionAstrophysics::Earth and Planetary Astrophysicscomputergiant planets emission
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Nonlinear Complex PCA for spatio-temporal analysis of global soil moisture

2020

Soil moisture (SM) is a key state variable of the hydrological cycle, needed to monitor the effects of a changing climate on natural resources. Soil moisture is highly variable in space and time, presenting seasonalities, anomalies and long-term trends, but also, and important nonlinear behaviours. Here, we introduce a novel fast and nonlinear complex PCA method to analyze the spatio-temporal patterns of the Earth's surface SM. We use global SM estimates acquired during the period 2010-2017 by ESA's SMOS mission. Our approach unveils both time and space modes, trends and periodicities unlike standard PCA decompositions. Results show the distribution of the total SM variance among its differ…

State variable010504 meteorology & atmospheric sciencesFOS: Physical sciences020206 networking & telecommunications02 engineering and technology15. Life on landAtmospheric sciences01 natural sciencesPhysics::GeophysicsKernel (linear algebra)Nonlinear systemVariable (computer science)Physics - Atmospheric and Oceanic Physics13. Climate actionPrincipal component analysisAtmospheric and Oceanic Physics (physics.ao-ph)0202 electrical engineering electronic engineering information engineeringEnvironmental scienceWater cycleTime seriesWater contentPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciences
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Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data

2007

Abstract This paper provides a formulation for the additive Holt–Winters forecasting procedure that simplifies both obtaining maximum likelihood estimates of all unknowns, smoothing parameters and initial conditions, and the computation of point forecasts and reliable predictive intervals. The stochastic component of the model is introduced by means of additive, uncorrelated, homoscedastic and Normal errors, and then the joint distribution of the data vector, a multivariate Normal distribution, is obtained. In the case where a data transformation was used to improve the fit of the model, cumulative forecasts are obtained here using a Monte-Carlo approximation. This paper describes the metho…

Statistics and ProbabilityExponential smoothingData transformation (statistics)Prediction intervalMultivariate normal distributionJoint probability distributionHomoscedasticityStatisticsEconometricsStatistics Probability and UncertaintyTime seriesPhysics::Atmospheric and Oceanic PhysicsSmoothingMathematicsJournal of Applied Statistics
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