Search results for "feature"

showing 10 items of 4091 documents

δ pattern of dissolved inorganic carbon in a small granitic catchment: the Strengbach case study (Vosges mountains, France)

1999

Abstract The transfers and origins of dissolved inorganic carbon (DIC) were studied for a year in a soil–spring–stream system in the Strengbach catchment, Vosges mountains, France. This 80 ha experimental research basin is located on the eastern side of the mountains, at an altitude ranging from 883 to 1146 m.a.s.l. and is mainly covered by spruce (80%). Brown acid and podzolic soils developed on a granitic basement, and, as a result, the DIC originates solely from CO2 generated by oxidation of soil organic matter. The ( δ 13 C DIC ) in catchment waters is highly variable, from about −22‰ in the springs and piezometers to about −12‰ in the stream at the outlet of the catchment. In the sprin…

Hydrologygeographygeography.geographical_feature_categoryδ13CSoil organic matterGeochemistryDrainage basinGeologyStructural basinBasementAltitudeGeochemistry and PetrologyDissolved organic carbonSoil waterGeologyChemical Geology
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Isotope disequilibrium effects: The influence of evaporation and ventilation effects on the carbon and oxygen isotope composition of speleothems – A …

2012

Abstract In order to improve the understanding of variations of speleothem δ18O and δ13C values in the context of palaeoclimate research, it is important to quantify the isotope fractionation processes influencing the δ18O and δ13C values of stalagmites. Here we present an extended version of speleothem stable isotope model that accounts for evaporation and condensation effects during precipitation of calcite. The ISOLUTION-model allows to calculate the effect of evaporation on δ18Ocalcite and δ13Ccalcite values in dependence on relative humidity and wind velocity. Our results reveal that evaporation may have a significant effect on δ18Ocalcite and δ13Ccalcite due to the loss of H2O from th…

Hydrologygeographygeography.geographical_feature_categoryδ18OStable isotope ratioEvaporationSpeleothemContext (language use)Atmospheric sciencesIsotopes of oxygenIsotope fractionationGeochemistry and PetrologyRelative humidityGeologyGeochimica et Cosmochimica Acta
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The effects of long-term drainage and subsequent restoration on water table level and pore water chemistry in boreal peatlands

2014

Summary Degradation by drainage threatens biodiversity and globally important peatland ecosystem functions such as long-term carbon sequestration in peat. Restoration aims at safeguarding peatland values by recovering natural hydrology. Long-term effects of drainage and subsequent restoration, especially related to within-site variation of water table level and pore water chemistry, are poorly known. We studied hydrological variation at 38 boreal Sphagnum peatland sites (pristine, drained and restored) in Finland. The average water table level was significantly lower at Drained than Pristine sites especially near the ditches. We also observed large pore water chemical differences between Dr…

Hydrologyhydrologiageographygeography.geographical_feature_categoryPeatbiologyanthropogenic disturbanceWater tableta1172Ditchspatial variationWetlandbiology.organism_classificationSphagnumwetlandPore water pressureHydrology (agriculture)ekosysteemipalvelutecosystem functionta1181Drainageta116Water Science and Technology
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Rainfall thresholds derivation for warning pluvial flooding risk in urbanised areas

2016

Aim of this work is the development of an operational tool for pluvial flooding warning in an urban area based on off-line rainfall thresholds derived by coupling a rainfall–runoff modelling and a hydraulic routing. The critical conditions considered for issue flood warnings were not only based on the water stage, but also on the extension of the flooded area. Further, a risk assessment framework for quantifying the reliability of the rainfall thresholds has been included; rainfall thresholds used in pluvial flooding warning should be influenced by the uncertainties in the rainfall characteristics (i.e. rainfall duration, depth and storm pattern). This risk assessment framework incorporates…

Hydrologylcsh:GE1-350geographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesFlood myth23000208 environmental biotechnologyFlooding (psychology)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinStorm02 engineering and technology01 natural sciences020801 environmental engineeringRunoff modelRouting (hydrology)Energy (all)Stage (hydrology)Earth and Planetary Sciences (all); 2300; Energy (all)DrainageEarth and Planetary Sciences (all)lcsh:Environmental sciences0105 earth and related environmental sciences
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New Data on Seawater Intrusion in Liepāja (Latvia) and Methodology for Establishing Background Levels and Threshold Values in Groundwater Body at Ris…

2018

Intensive water consumption in former decades caused formation of large depression cone near city Liepāja and resulted with seawater intrusion into Upper Devonian Mūru-Žagaru confined freshwater aquifer. Area affected by seawater intrusion is delineated as separate groundwater body at risk (F5) and according to Groundwater Directive threshold values for groundwater bodies at risk must be established to assess the status of a body and identify possible trends. Correct estimation of background levels is significant for determination of threshold values. This study shows an updated so called “BRIDGE” methodology for determination of background levels. A two-step approach how to establish backg…

Hydrologylcsh:GE1-350geographygeography.geographical_feature_categorySeawater intrusion0208 environmental biotechnologySampling (statistics)Aquifer02 engineering and technology010501 environmental sciences01 natural sciencesWater consumption020801 environmental engineeringBaltic seaSeawaterGroundwaterlcsh:Environmental sciences0105 earth and related environmental sciencesE3S Web of Conferences
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Flood pattern changes in the rivers of the Baltic countries

2015

Estimation of both the frequency and variation of spring floods is a key issue for the assessment and management of flood risks. Changes in river floods in Estonia, Latvia and Lithuania have been investigated in few national studies. However, there are no studies of the changes of flood patterns by using a common methodology for the rivers of this region. In this study flood pattern changes in the rivers of the Baltic countries were estimated applying trend and frequency analysis for the periods of 1922–2010, 1922–1960, 1961–2010 and 1991–2010, i.e. for the whole spring flood data sets, periods before and after 1960 (this year was considered as the beginning of the remarkable climate change…

Hydrologytrendsgeographygeography.geographical_feature_categoryFloodplainFlood mythbusiness.industrymaximum dischargeClimate changeDistribution (economics)Environmental engineeringspring foodsprobability distributionsManagement Monitoring Policy and LawTA170-171rivers100-year floodEnvironmental monitoringSpring (hydrology)Period (geology)businessBaltic countriesNature and Landscape Conservationenvironmental monitoringJournal of Environmental Engineering and Landscape Management
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Hypergraph imaging: an overview

2002

Hypergraph theory as originally developed by Berge (Hypergraphe, Dunod, Paris, 1987) is a theory of finite combinatorial sets, modeling lot of problems of operational research and combinatorial optimization. This framework turns out to be very interesting for many other applications, in particular for computer vision. In this paper, we are going to survey the relationship between combinatorial sets and image processing. More precisely, we propose an overview of different applications from image hypergraph models to image analysis. It mainly focuses on the combinatorial representation of an image and shows the effectiveness of this approach to low level image processing; in particular to seg…

HypergraphTheoretical computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingImage segmentationEdge detectionScale spaceArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingCombinatorial optimizationComputer Vision and Pattern RecognitionRepresentation (mathematics)SoftwareMathematicsofComputing_DISCRETEMATHEMATICSFeature detection (computer vision)MathematicsPattern Recognition
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Valorizzazione produttiva della biodiversità in ambiente mediterraneo: il genere Hypericum

2014

Una conoscenza approfondita delle specie appartenenti al genere Hypericum, finalizzata alla loro introduzione negli ordinamenti colturali come specie di interesse industriale e/o ornamentale, comporta la dettagliata descrizione dei parametri morfologici e ambientali delle piante nei loro siti di vegetazione spontanea, e l’accertamento delle loro caratteristiche fitochimiche. Negli anni 2012-2013 è stata svolta un’attività di ricognizione a tale scopo. In Sicilia le perlustrazioni svolte hanno portato all'individuazione di 23 accessioni di H. perforatum, H. perfoliatum, H. pubescens, H. tetrapterum e H. calycinum; numerose altre se ne sono aggiunte, provenienti dall’appennino tosco-romagnolo…

Hypericum spp. Popolazioni Siciliane Parametri Qualitativi OrnamentaleHypericum spp. Sicilian populations quality features ornamental plantsHypericum spp. popolazioni siciliane parametri qualitativi piante ornamentaliSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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A Novel System for Multi-level Crohn’s Disease Classification and Grading Based on a Multiclass Support Vector Machine

2020

Crohn’s disease (CD) is a chronic inflammatory condition of the gastrointestinal tract that can highly alter patient’s quality of life. Diagnostic imaging, such as Enterography Magnetic Resonance Imaging (E-MRI), provides crucial information for CD activity assessment. Automatic learning methods play a fundamental role in the classification of CD and allow to avoid the long and expensive manual classification process by radiologists. This paper presents a novel classification method that uses a multiclass Support Vector Machine (SVM) based on a Radial Basis Function (RBF) kernel for the grading of CD inflammatory activity. To validate the system, we have used a dataset composed of 800 E-MRI…

Hyperparameterbusiness.industryComputer scienceMulticlass support vector machineBayesian optimizationSupervised learningFeature extractionFeature reductionCrohn’s disease multi-level classification and gradingK-fold cross-validationPattern recognitionSupport vector machineRadial basis function kernelMedical imagingFeature extractionArtificial intelligencebusinessClassifier (UML)Supervised learningBayesian optimization
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Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most rele…

2013

[EN] Green mold (Penicillium digitatum) and blue mold (Penicillium italicum) are important sources of postharvest decay affecting the commercialization of mandarins. These fungi infections produce enormous economic losses in mandarin production if early detection is not carried out. Nowadays, this detection is performed manually in dark chambers, where the fruit is illuminated by ultraviolet light to produce fluorescence, which is potentially dangerous for humans. This paper documents a new methodology based on hyperspectral imaging and advanced machine-learning techniques (artificial neural networks and classification and regression trees) for the segmentation and classification of images …

Hyperspectral imagingEXPRESION GRAFICA EN LA INGENIERIAEarly detectionFeature selectionHorticultureMachine visionPenicillium italicumImage analysisBotanymedicineUltraviolet lightFruit inspectionPenicillium digitatumbiologybusiness.industryBlue moldHyperspectral imagingPattern recognitionDecaybiology.organism_classificationmedicine.drug_formulation_ingredientMandarinsFeature selectionArtificial intelligenceNon-linear classifiersbusinessAgronomy and Crop ScienceFood Science
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