Search results for "model [particle]"

showing 10 items of 1261 documents

Joint interpretation of seismic refraction tomography and electrical resistivity tomography by cluster analysis to detect buried cavities

2020

Abstract In the last few years, the geophysical methods of seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) are among the most used geophysical techniques for the reconstruction of subsoil geometries, for the investigation of underground cavities and also for the archaeological prospecting. However, the main disadvantage of each geophysical method is the difficulty of final interpretation of the data. In order to eliminate artifacts and generally improve the reliability and accuracy of geophysical interpretation, it is useful to perform a joint approach of different geophysical methods, also introducing the a priori information. In this work, it is shown the i…

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesSRT ERT Joint interpretation K-means cluster analysis Modeling CavityInterpretation (model theory)GeophysicsElectrical resistivity and conductivitySettore GEO/11 - Geofisica ApplicataCluster (physics)A priori and a posterioriTomographySeismic refractionElectrical resistivity tomographyJoint (geology)GeologySeismology0105 earth and related environmental sciences
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Photometric variability of the Be star CoRoT-ID 102761769

2010

Classical Be stars are rapid rotators of spectral type late O to early A and luminosity class V-III, wich exhibit Balmer emission lines and often a near infrared excess originating in an equatorially concentrated circumstellar envelope, both produced by sporadic mass ejection episodes. The causes of the abnormal mass loss (the so-called Be phenomenon) are as yet unknown. For the first time, we can now study in detail Be stars outside the Earth's atmosphere with sufficient temporal resolution. We investigate the variability of the Be Star CoRoT-ID 102761769 observed with the CoRoT satellite in the exoplanet field during the initial run. One low-resolution spectrum of the star was obtained wi…

010504 meteorology & atmospheric sciencesBe starFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsType (model theory)01 natural sciencesPartícules (Física nuclear)Luminositysymbols.namesake0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysicsStellar rotationBalmer seriesAstronomy and AstrophysicsCircumstellar envelopeLight curveStarsAstrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary ScienceEsteroidessymbolsAstrophysics::Earth and Planetary Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with …

2011

International audience; Neural networks trained over radiative transfer simulations constitute the basis of several operational algorithms to estimate canopy biophysical variables from satellite reflectance measurements. However, only little attention was paid to the training process which has a major impact on retrieval performances. This study focused on the several modalities of the training process within neural network estimation of LAI, FCOVER and FAPAR biophysical variables. Performances were evaluated over both actual experimental observations and model simulations. The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test dataset…

010504 meteorology & atmospheric sciencesComputer scienceGaussian0211 other engineering and technologiesSoil ScienceCANOPY BIOPHYSICAL CHARACTERISTICS02 engineering and technologyNEURAL NETWORK01 natural sciencesTransfer functionsymbols.namesakeAtmospheric radiative transfer codesRadiative transferRange (statistics)Sensitivity (control systems)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingArtificial neural networkGeologySigmoid functionRELATION SOL-PLANTE-ATMOSPHEREMODEL INVERSION[SDE]Environmental SciencessymbolsINDICE FOLIAIRE
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Anticipating the impact of pitfalls in kinetic biodegradation parameter estimation from substrate depletion curves of organic pollutants

2019

[EN] Accurate and reliable estimation of kinetic parameters of pollutant biodegradation processes is essential for environmental and health risk assessment. Common biodegradation models proposed in the literature, such as the nonlinear Monod equation and its simplified versions (e.g. Michaelis-Menten-like and first-order equations), are problematic in terms of accuracy of kinetic parameters due to the parameter correlation. However, a comparison between these models in terms of accuracy and reliability, related to data imprecision, has not been performed in the literature. This task is necessary, mainly because the model selection cannot be straightforward, as shown in this work. To facilit…

010504 meteorology & atmospheric sciencesComputer scienceHealth Toxicology and Mutagenesis010501 environmental sciencesToxicology01 natural sciencesRisk AssessmentModelling depletion curveMonod equationLimit (mathematics)Reliability (statistics)0105 earth and related environmental sciencesPollutantObservational errorEstimation theoryModel selectionReproducibility of ResultsModel comparisonGeneral MedicineModels TheoreticalPollutionNonlinear systemKineticsBiodegradation EnvironmentalParameter estimationsBiodegradationEnvironmental PollutantsBiochemical engineeringPitfallsAlgorithms
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Empirical and physical estimation of Canopy Water Content from CHRIS/PROBA data

2013

20 páginas, 4 tablas, 7 figuras.

010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologies02 engineering and technologyCHRIS/PROBA01 natural sciencescanopy water content;model inversion;neural networks;look up tables;empirical up-scalingmodel inversionEmpirical up-scalingAtmospheric radiative transfer codeslook up tablesRadiative transferModel inversion021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingArtificial neural networkCanopy water contentQHyperspectral imagingInversion (meteorology)Sigmoid functionSpectral bandsempirical up-scaling15. Life on landneural networks[SDE]Environmental SciencesGeneral Earth and Planetary SciencesLook up tablescanopy water contentNeural networkscanopy water content; model inversion; neural networks; look up tables; empirical up-scaling; CHRIS/PROBA
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Environment-sensitivity functions for gross primary productivity in light use efficiency models

2022

International audience; The sensitivity of photosynthesis to environmental changes is essential for understanding carbon cycle responses to global climate change and for the development of modeling approaches that explains its spatial and temporal variability. We collected a large variety of published sensitivity functions of gross primary productivity (GPP) to different forcing variables to assess the response of GPP to environmental factors. These include the responses of GPP to temperature; vapor pressure deficit, some of which include the response to atmospheric CO2 concentrations; soil water availability (W); light intensity; and cloudiness. These functions were combined in a full fact…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesVapour Pressure DeficitBiomeRandomly sampled sitesPlant Ecology and Nature ConservationForcing (mathematics)04 Earth Sciences 06 Biological Sciences 07 Agricultural and Veterinary SciencesAtmospheric sciences01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsFluxNetLaboratory of Geo-information Science and Remote SensingEvapotranspirationMeteorology & Atmospheric SciencesEcosystemLaboratorium voor Geo-informatiekunde en Remote SensingRadiation use efficiencySensitivity formulations0105 earth and related environmental sciencesGlobal and Planetary ChangeDiffuse fractionGlobal warmingModel equifinalityForestryModel comparison15. Life on landPE&RCLight intensity13. Climate actionEnvironmental sciencePlantenecologie en NatuurbeheerCarbon assimilationTemporal scalesAgronomy and Crop Science010606 plant biology & botany
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Habitat- and density-dependent demography of a colonial raptor in Mediterranean agro-ecosystems

2016

Agricultural intensification is considered the major cause of decline in farmland bird populations, especially in the Mediterranean region. Food shortage increased by the interaction between agricultural intensification and density-dependent mechanisms could influence the population dynamics of colonial birds.Weused demographic data on lesser kestrels (Falco naumanni), a key species of Mediterranean pseudo-steppes, to understand the importance of land-use changes and density-dependent mechanisms in the light of its fluctuating conservation status in the Western Palearctic. Our analysis indicated an important influence of land uses (artichokes, arable and grassland fields) and colony size on…

0106 biological sciencesCapture-recapture modelsPopulationSettore BIO/05 - ZoologiaKestrel010603 evolutionary biology01 natural sciences010605 ornithologyLesser kestrelColony sizePopulation growthAgricultural intensification Capture–recapture model Colony size Farmland birds Land-use Lesser kestreleducationLand-useAgricultural intensificationEcology Evolution Behavior and SystematicsNature and Landscape ConservationFarmland birdseducation.field_of_studybiologyAgricultural intensificationEcologyFalco naumanniCapture–recapture modelbiology.organism_classificationFecundityCapture-recapture modelHabitatConservation statusArable landFarmland birdDemographyBiological Conservation
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Examining nonstationarity in the recruitment dynamics of fishes using Bayesian change point analysis

2017

Marine ecosystems can undergo regime shifts, which result in nonstationarity in the dynamics of the fish populations inhabiting them. The assumption of time-invariant parameters in stock–recruitment models can lead to severe errors when forecasting renewal ability of stocks that experience shifts in their recruitment dynamics. We present a novel method for fitting stock–recruitment models using the Bayesian online change point detection algorithm, which is able to cope with sudden changes in the model parameters. We validate our method using simulations and apply it to empirical data of four demersal fishes in the southern Gulf of St. Lawrence. We show that all of the stocks have experience…

0106 biological sciencesEmpirical dataEcology010604 marine biology & hydrobiologyBayesian probabilityModel parametersAquatic Science010603 evolutionary biology01 natural sciencesChange-Point AnalysisEconometricsEnvironmental scienceFish <Actinopterygii>Marine ecosystem14. Life underwaterEcology Evolution Behavior and SystematicsChange detectionCanadian Journal of Fisheries and Aquatic Sciences
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Seed Bank in Annuals: Competition Between Banker and Non-banker Morphs

2002

Seed bank is a plant life history strategy against the unpredictability of the biotic and the abiotic environment. We simulated competition between a seed banking and a non-banking morph of an annual plant. A constant fraction of the banker morph seeds was allocated to the seed bank, where they had a constant mortality and germination rate. All surviving seeds of the non-banker morph germinated in the next generation. The seedlings of both morphs experienced similar density-dependent mortality. Whether one of the morphs wins or the morphs coexist was evaluated from parameter space plots and statistically with logistic regression analysis. All parameters of the model had a significant, nonli…

0106 biological sciencesStatistics and Probabilitygenetic structuresmedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGerminationModel parametersBiologyModels Biological010603 evolutionary biology01 natural sciencesGeneralLiterature_MISCELLANEOUSGeneral Biochemistry Genetics and Molecular BiologyPlant lifeCompetition (biology)BotanyEcosystemBiological sciencesEcosystemreproductive and urinary physiologyComputingMethodologies_COMPUTERGRAPHICSmedia_commonAbiotic componentGeneral Immunology and MicrobiologyReproductionApplied MathematicsfungiGeneral Medicine15. Life on landhumanitiesLogistic ModelsAgronomyGerminationModeling and SimulationSeedsAnnual plantGeneral Agricultural and Biological Sciencespsychological phenomena and processes010606 plant biology & botanyJournal of Theoretical Biology
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Fruit size in relation to competition for resources: A common model shared by two species and several genotypes grown under contrasted carbohydrate l…

2012

International audience; Fruit size is one important criterion of fruit external quality affecting consumer acceptance. The effects of seed number on fruit size in two fleshy fruits, grape and tomato, of different genotypes and grown under distinct carbohydrate availability levels were analyzed with a model. The two-parameter model described within-fruit resource competition and was able to well represent the commonly observed decrease in fresh weight per seed along with the increase in number of seeds, regardless of species, genotypes, and carbohydrate levels that were evaluated in this study. However, carbohydrate levels largely modified the correlation between seed number and fresh weight…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompetition levelmodel selectionmedia_common.quotation_subjectModel parametersQuantitative trait locusBiologytomatofruit load01 natural sciencessizeCompetition (biology)03 medical and health sciencesquantitative trait locusGenotype[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitis[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDomestication030304 developmental biologymedia_common2. Zero hungerresource competition0303 health sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungiFresh weightfood and beveragesCarbohydrateHorticultureAgronomyseed010606 plant biology & botany
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