Search results for "50"

showing 10 items of 28518 documents

A Plot-scale uncertainty analysis of saturated hydraulic conductivity of a clay soil

2021

Abstract Simulating soil hydrological processes at the plot or field scale requires using spatially representative values of the saturated soil hydraulic conductivity, Ks. Sampling campaigns should yield a reliable mean of Ks with a sustainable workload since measuring Ks at many points is challenging. Uncertainty analysis can be used to determine the lowest number of measurements that yield a mean Ks value with a specified accuracy level. Potential and limitations of this analysis were tested in this investigation for different extents of the sampled area and sampling densities. A clay soil was sampled intensively on two plots (plot area = 44 m2), two dates and using both small (0.15 m in …

010504 meteorology & atmospheric sciencesScale (ratio)0207 environmental engineeringbootstrap methodSampling (statistics)Soil science02 engineering and technology01 natural sciencesConfidence intervalHydraulic conductivitysaturated soil hydraulic conductivityEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalifine-textured soilsFine-textured soilsimplified falling head technique020701 environmental engineeringClay soilUncertainty analysissaturated soil hydraulic conductivity fine-textured soils simplified falling head technique bootstrap method0105 earth and related environmental sciencesWater Science and Technology
researchProduct

Testing Sediment Connectivity at the Experimental SPA2 Basin, Sicily (Italy)

2017

The concept of sediment delivery can be used as a measure of sediment connectivity, and it can be linked to the structural connectivity (morphological unit, slope length, slope steepness, travel time) of a basin and to the hydrological connectivity (rainfall–runoff processes at morphological unit scale). In this paper, the sediment connectivity concept was tested at basin scale applying SEdiment Delivery Distributed model, which takes into account the hillslope sediment transport, and using sediment yield measurements carried out at SPA2 experimental basin (Sicily, Italy). For the SPA2 basin discretized into morphological units, the SEdiment Delivery Distributed model was first calibrated a…

010504 meteorology & atmospheric sciencesScale (ratio)0208 environmental biotechnologyMagnitude (mathematics)Soil Science02 engineering and technologyExperimental basinDevelopmentStructural basin01 natural sciencesEnvironmental ChemistryDevelopment3304 Education0105 earth and related environmental sciencesGeneral Environmental ScienceSediment connectivityHydrology2300Distributed element modelSEDD modelSediment020801 environmental engineeringErosionSoil erosionWEPPSediment transportSediment deliveryGeology
researchProduct

Modelling Complex Volume Shape Using Ellipsoid: Application to Pore Space Representation

2017

Natural shapes have complex volume forms that are usually difficult to model using simple analytical equations. The complexity of the representation is due to the heterogeneity of the physical environment and the variety of phenomena involved. In this study we consider the representation of the porous media. Thanks to the technological advances in Computed Topography scanners, the acquisition of images of complex shapes becomes possible. However, and unfortunately, the image data is not directly usable for simulation purposes. In this paper, we investigate the modeling of such shapes using a piece wise approximation of image data by ellipsoids. We propose to use a split-merge strategy and a…

010504 meteorology & atmospheric sciencesScale (ratio)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTangentApproximation algorithmContext (language use)02 engineering and technologyComputational geometry01 natural sciencesEllipsoid0202 electrical engineering electronic engineering information engineeringPiecewise020201 artificial intelligence & image processingRepresentation (mathematics)AlgorithmComputingMethodologies_COMPUTERGRAPHICS0105 earth and related environmental sciences2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
researchProduct

Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies

2020

National audience

010504 meteorology & atmospheric sciencesScale (ratio)Geography Planning and Development0211 other engineering and technologies021107 urban & regional planning02 engineering and technologyUniversal law01 natural sciences[SDE]Environmental Sciences11. SustainabilitySustainabilityEconomic geographyBusinessComputingMilieux_MISCELLANEOUSPace of life0105 earth and related environmental sciencesPlanning Theory
researchProduct

Testing simple scaling in soil erosion processes at plot scale

2018

Abstract Explaining scale effects for runoff and erosion improves our understanding and simulation ability of hydrological and erosion processes. In this paper, plot scale effects on event runoff per unit area (Qe), sediment concentration (Ce) and soil loss per unit area (SLe) were checked at El Teularet-Sierra de Enguera experimental site in Eastern Spain. The measurements were carried out for 31 events occurring in the years 2005 and 2007 in bare ploughed plots ranging from 1 to 48 m2. The analysis established the scaling relationship by dimensional analysis and self-similarity theory, and tested this relationship at different temporal scales ranging from event to annual scale. The dimens…

010504 meteorology & atmospheric sciencesScale (ratio)Runoff0208 environmental biotechnologySoil scienceNatural rainfall02 engineering and technology01 natural sciencesHydrology (agriculture)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTemporal scalesScaling0105 earth and related environmental sciencesEarth-Surface ProcessesPlotsSedimentPE&RC020801 environmental engineeringScalePlotSediment concentrationSpatial ecologyErosionSoil erosionEnvironmental scienceSurface runoff
researchProduct

Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site

2016

Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts. The applicability of the Universal Soil Loss Equation (USLE) at event scale is affected by the fact that USLE rainfall erosivity factor does not take into account runoff explicitly. USLE-M and USLE-MM, including the effect of runoff in the event rainfall– runoff erosivity factor, are characterized by a better capacity to predict event soil loss. The specific objectives of this paper were (i) to determine the suitable parameterization of USLE, USLE-M and USLE-MM by using the dataseries of Sparacia experimental site and (ii) to evaluat…

010504 meteorology & atmospheric sciencesScale (ratio)Soil ScienceSoil scienceDevelopment01 natural sciencesDeposition (geology)Soil lossplot soil loUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental Chemistry0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)Hydrologysoil erosionSediment04 agricultural and veterinary sciencesUniversal Soil Loss Equation040103 agronomy & agricultureLand degradationUSLE-M0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffEvent scaleLand Degradation & Development
researchProduct

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

2017

Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and …

010504 meteorology & atmospheric sciencesScattering albedo0208 environmental biotechnologyradiometry02 engineering and technologyretrieval methodologycomputer.software_genre01 natural scienceslaw.inventionlawremote sensing by radarRadaractive-passive microwavesPhysics::Atmospheric and Oceanic PhysicsIndexespassive microwave remote sensingRemote sensingremote sensing by laser beamGeographyLidaroptical radarcrucial parametersmedicine.symptomvegetation scattering coefficientData integrationBackscattervegetation mappingta1171τ-ω modelsoilPhysics::GeophysicsICESat lidar vegetation heightsvegetationmedicineVegetation optical depthbackscatter0105 earth and related environmental sciencesRemote sensingsensor fusionRadiometerScatteringnovel multisensor approachSMAPAlbedoMulti-sensor020801 environmental engineeringradiometer dataVegetation (pathology)multisensor data integration approachcomputerICESatalbedo
researchProduct

SMOS-IC : a revised SMOS product based on a new effective scattering albedo and soil roughness parameterization

2017

International audience; This study presents a new SMOS (Soil Moisture and Ocean Salinity) soil moisture (SM) product based on a different scattering albedo and soil roughness parameterization: the SMOS-IC (SMOS INRA-CESBIO) data set. In this study, several parameterizations of the vegetation and soil roughness parameters (co, H-R and N-RP, P = H, V) were tested and the retrieved SM was compared against in situ observations obtained from the International Soil Moisture Network (ISMN). Firstly, values of omega = 0.10, H-R = 0.4 and N-RP = -1 (P = H, V) were found globally. Secondly, a calibration of these parameters was obtained for the different land cover categories of the International Geo…

010504 meteorology & atmospheric sciencesScattering[SDV]Life Sciences [q-bio]0211 other engineering and technologies02 engineering and technologyLand coverVegetation15. Life on landAlbedoAtmospheric sciences01 natural sciences13. Climate actionProduct (mathematics)[SDE]Environmental SciencesCalibrationEnvironmental scienceWater contentSoil roughness021101 geological & geomatics engineering0105 earth and related environmental sciences
researchProduct

Innovative technical implementation of the Schumann resonances and its influence on organisms and biological cells

2019

Over the course of time in the digital age, oscillating processes were utilized in various realizations. Life without these became hardly imaginable. Schumann resonances are electromagnetical resonances or eigenfrequencies (radio waves), which originate from the oscillation in a hollow space shell. Their average basic frequency is 7,83Hz. The above-mentioned radio waves emerge from energy discharges such as thunderstorms, lightning or solar wind within the earth's surface and the ionosphere. They exist around the globe. Various scientists have discovered a correlation to our health on the basis of studies and experiments; their absence can result in a variety of disorders from headaches to …

010504 meteorology & atmospheric sciencesSchumann resonancesComputer scienceGeophysics01 natural sciencesLightningField (geography)03 medical and health sciencesSolar wind0302 clinical medicine030220 oncology & carcinogenesisThunderstormIonosphere0105 earth and related environmental sciencesRadio waveIOP Conference Series: Materials Science and Engineering
researchProduct

Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

2019

Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be measured by in-field spectroscopy. In this study, the predictive power of spectroscopic data is examined. Five treatments of heavy metal stress (Cu, Zn, Pb, Cr, and Cd) were applied to grapevine seedlings and hyperspectral data (350−2500 nm), and heavy metal contents were collected based on in-field and laboratory experiments. The partial least squares (PLS) method was used as a feature selection technique, and multiple linear regressions (…

010504 meteorology & atmospheric sciencesScience010501 environmental sciences01 natural sciencesMetalHuman healthLinear regressionPartial least squares regressionSpectroscopyheavy metals0105 earth and related environmental sciencesChemistrysvmQfungifield spectroscopy; hyperspectral; heavy metals; grapevine; PLS; SVM; MLRHyperspectral imagingfood and beveragesHeavy metalsplsEnvironmentally friendlyfield spectroscopygrapevinemlrhyperspectralvisual_artEnvironmental chemistryvisual_art.visual_art_mediumGeneral Earth and Planetary SciencesRemote Sensing; Volume 11; Issue 23; Pages: 2731
researchProduct