Search results for "Stan"

showing 10 items of 14483 documents

Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Trends in global research in deforestation. A bibliometric analysis

2018

The main aim of this study was to analyse topics of research, scientific production, collaboration among countries, and most cited papers on deforestation through a bibliometric and social network study of articles found in the Web of Science database. The most productive subject areas corresponded to Environmental Sciences, Ecology and Environmental Studies. The articles were published in 458 different journals. A total of 2051 research articles were obtained. The main challenges identified for deforestation include “land use change” “conservation” “climate change” “rain forest” and “reducing emissions from deforestation and degradation”. Social and economic topics are understudied. An imp…

010504 meteorology & atmospheric sciencesEcology (disciplines)Geography Planning and DevelopmentClimate change010501 environmental sciencesManagement Monitoring Policy and LawScientific research01 natural sciencesAmazoniaDeforestationRegional sciencemedia_common.cataloged_instanceLand use land-use change and forestryDeforestationEuropean union0105 earth and related environmental sciencesNature and Landscape Conservationmedia_commonSocial networkSubject areasAmazon rainforestbusiness.industryForestryInternational collaborationEnvironmental studiesbusinessLand Use Policy
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Modelling the Effects of Climate Change on the Supply of Inorganic Nitrogen

2009

Human-induced changes in the nitrogen cycle due to the increased use of artificial fertilisers, the cultivation of nitrogen-fixing crops and atmospheric deposition have made nitrogen pollution to surface waters a long-standing cause for concern. In Europe, legislation has been introduced to minimise the risk of water quality degradation from excessive nitrogen inputs e.g., the European Union Nitrates Directive (EU, 1991), Drinking Water Directive (EU, 1998) and Water Framework Directive (EU, 2000). Coastal regions in particular have been an important focus, since coastal eutrophication has been attributed to increased fluxes of nitrogen from the landscape (Howarth et al., 1996; Boesch et al…

010504 meteorology & atmospheric sciencesEcology0207 environmental engineering02 engineering and technology15. Life on land01 natural sciences6. Clean waterMacrophyteWater Framework Directive13. Climate actionEnvironmental protectionNutrient pollutionDrinking water directiveEnvironmental sciencemedia_common.cataloged_instance14. Life underwaterWater qualityEuropean union020701 environmental engineeringEutrophicationNitrogen cycle0105 earth and related environmental sciencesmedia_common
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The size, shape, density and ring of the dwarf planet Haumea from a stellar occultation

2017

Ortiz, José Luis et. al.

010504 meteorology & atmospheric sciencesEuropean communityTrans Neptunian ObjectDwarf planetHaumeaFOS: Physical sciencesLibrary scienceshape01 natural sciencessizedwarf planetNeptuneFísica Aplicada0103 physical sciencesHaumeamedia_common.cataloged_instanceEuropean unionInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesmedia_commonEarth and Planetary Astrophysics (astro-ph.EP)Physics[PHYS]Physics [physics]density2003 EL61 ; Kuiper-belt ; photometric-observations ; collisional family ; object ; bodies ; albedo ; satellites ; UranusDwarf planetsMultidisciplinaryEuropean researchAsteroidTrans-NeptunianAstronomyStellar occultationMoons of HaumeaStellar occultationstellar occultationAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]ringAstrophysics - Earth and Planetary Astrophysics
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Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data

2012

River floodplains in the Netherlands serve as water storage areas, while they also have the function of nature rehabilitation areas. Floodplain vegetation is therefore subject to natural processes of vegetation succession. At the same time, vegetation encroachment obstructs the water flow into the floodplains and increases the flood risk for the hinterland. Spaceborne pointable imaging spectroscopy has the potential to quantify vegetation density on the basis of leaf area index (LAI) from a desired view zenith angle. In this respect, hyperspectral pointable CHRIS data were linked to the ray tracing canopy reflectance model FLIGHT to retrieve vegetation density estimates over a heterogeneous…

010504 meteorology & atmospheric sciencesFloodplainWater flowpointable sensors; CHRIS/PROBA; leaf area index (LAI); inversion; radiative transfer (RT) model; FLIGHT; river floodplain ecosystem; vegetation density; hydraulic roughnessleaf area index (LAI)0211 other engineering and technologiesClimate change02 engineering and technologyCHRIS/PROBA01 natural sciencesforestinversionLaboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote SensingLeaf area indexcoverlcsh:ScienceZenithriver floodplain ecosystem021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinggeographychris-proba datahyperspectral brdf datageography.geographical_feature_categoryFLIGHTFlood mythrhine basinradiative-transfer modelHyperspectral imagingEnhanced vegetation index15. Life on landpointable sensorsPE&RCradiative transfer (RT) modelsugar-beetclimate-changeGeneral Earth and Planetary SciencesEnvironmental sciencehydraulic roughnesslcsh:Qflow resistanceleaf-area indexvegetation densityRemote Sensing
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Dissipative analogies of step-pool features: From rills to mountain streams

2019

Abstract In this paper the dissipative similarity of step-pool units at different spatial scales ranging from rills to streams is analyzed. This investigation benefits from the latest theoretical advances in open channel flow resistance, high-resolution topography from close-range photogrammetry applied to rill erosion and the availability of published data from literature on step-pool streams. At first, the integration of a power velocity distribution allowed to obtain a theoretically-based expression of Darcy-Weisbach friction factor, in which Γ function and δ exponent of the velocity profile are included. Then this theoretically-deduced flow resistance relationship is calibrated and test…

010504 meteorology & atmospheric sciencesFlow (psychology)GeometrySTREAMSPlot measurement01 natural sciencesFlow velocityCalibrationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_category04 agricultural and veterinary sciencesFunction (mathematics)Open-channel flowRillFlow velocityFlow resistance040103 agronomy & agricultureDissipative systemRill flowSoil erosion0401 agriculture forestry and fisheriesStep-poolGeology
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Comment on “Rill erosion processes on steep colluvial deposit slope under heavy rainfall in flume experiments with artificial rain by F. Jiang et al.”

2020

Abstract Since rill flows are characterized by small water depths and steeply sloping channels, the corresponding hydraulic conditions are very different to those which are typically found in channels of streams and rivers. Furthermore, limited information is currently available on the effect of rainfall on flow resistance. The objective of this comment was to investigate the applicability of a recently theoretically deduced rill flow resistance equation, based on a power-velocity profile, using measurements carried out by Jiang et al. for both different slope steepness conditions and rainfall intensity. The relationship between the velocity profile parameter Γ, the channel slope and the fl…

010504 meteorology & atmospheric sciencesFlow (psychology)Soil scienceSTREAMSRill erosion01 natural sciencessymbols.namesakeRill velocityDarcy-Weisbach friction factorFroude number0105 earth and related environmental sciencesEarth-Surface ProcessesColluviumgeographyRill erosiongeography.geographical_feature_categoryRainfall impact04 agricultural and veterinary sciencesRillFlumeFlow resistance040103 agronomy & agriculturesymbols0401 agriculture forestry and fisheriesIntensity (heat transfer)Geology
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Testing a theoretical resistance law for overland flow on a stony hillslope

2020

Overland flow, sediments, and nutrients transported in runoff are important processes involved in soil erosion and water pollution. Modelling transport of sediments and chemicals requires accurate estimates of hydraulic resistance, which is one of the key variables characterizing runoff water depth and velocity. In this paper, a new theoretical power–velocity profile, originally deduced neglecting the impact effect of rainfall, was initially modified for taking into account the effect of rainfall intensity. Then a theoretical flow resistance law was obtained by integration of the new flow velocity distribution. This flow resistance law was tested using field measurements by Nearing for the …

010504 meteorology & atmospheric sciencesFlow (psychology)rainfall0207 environmental engineering02 engineering and technology01 natural sciencessymbols.namesakeWetted perimeteroverland flowdimensional analysiFroude numberSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali020701 environmental engineering0105 earth and related environmental sciencesWater Science and Technologyself-similarityReynolds numberLaminar flowstony hillslopeFlow velocityLawsymbolsvelocity profileEnvironmental scienceSurface runoffflow resistanceIntensity (heat transfer)
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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Comparing flow resistance law for fixed and mobile bed rills

2019

Rills caused by run-off concentration on erodible hillslopes have very irregular profiles and cross-section shapes. Rill erosion directly depends on the hydraulics of flow in the rills, which may differ greatly from hydraulics of flow in larger and regular channels. In this paper, a recently theoretically deduced rill flow resistance equation, based on a power–velocity profile, was tested experimentally on plots of varying slopes (ranging from 9% to 26%) in which mobile and fixed bed rills were incised. Initially, measurements of flow velocity, water depth, cross-section area, wetted perimeter, and bed slope, carried out in 320 reaches of mobile bed rills and in 165 reaches of fixed rills, …

010504 meteorology & atmospheric sciencesHydraulicsfixed bedFlow (psychology)0207 environmental engineering02 engineering and technology01 natural scienceslaw.inventionWetted perimetersymbols.namesakelawFroude numberSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalirill hydraulic020701 environmental engineering0105 earth and related environmental sciencesWater Science and Technologygeographysoil erosiongeography.geographical_feature_categoryrill flowplot measurementRillFlow conditionsFlow velocitymobile bedsymbolsflow resistanceSediment transportGeologyHydrological Processes
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