Search results for "PAT"

showing 10 items of 41723 documents

Predicting plot soil loss by empirical and process-oriented approaches. A review

2018

Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriente…

010504 meteorology & atmospheric sciencesSoil erosion; Soil loss measurements; Universal soil loss equation; Water erosion prediction project; Bioengineering; Mechanical Engineering; Industrial and Manufacturing EngineeringBioengineeringSoil science01 natural sciencesIndustrial and Manufacturing EngineeringPlot (graphics)lcsh:Agriculturewater erosion prediction project.Soil loss measurementSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalilcsh:Agriculture (General)Temporal scalesReliability (statistics)0105 earth and related environmental sciencesgeographysoil loss measurementsgeography.geographical_feature_categoryPhysical modelMathematical modelMechanical EngineeringWater erosion prediction projectlcsh:S04 agricultural and veterinary sciencesUniversal Soil Loss Equationlcsh:S1-972RillUniversal Soil Loss EquationSoil erosion040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variability
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A critical discussion of the electromagnetic radiation (EMR) method to determine stress orientations within the crust

2012

Abstract. In recent years, the electromagnetic radiation (EMR) method has been used to detect faults and to determine main horizontal stress directions from variations in intensities and directional properties of electromagnetic emissions, which are assumed to be generated during micro-cracking. Based on a large data set taken from an area of about 250 000 km2 in Northern Germany, Denmark, and southern Sweden with repeated measurements at one location during a time span of about 1.5 yr, the method was systematically tested. Reproducible observations of temporary changes in the signal patterns, as well as a strongly concentric spatial pattern of the main directions of the magnetic component …

010504 meteorology & atmospheric sciencesStratigraphySoil Science010502 geochemistry & geophysicsSignalElectromagnetic radiation01 natural sciencesStress (mechanics)03 medical and health scienceslcsh:StratigraphyGeochemistry and PetrologyPoint (geometry)Very low frequencyEarth-Surface Processeslcsh:QE640-699030304 developmental biology0105 earth and related environmental sciences0303 health scienceslcsh:QE1-996.5Geovetenskap och miljövetenskapPaleontologyCrustGeologyData setlcsh:GeologyGeophysicsCommon spatial patternGeologiEarth and Related Environmental SciencesSeismologyGeology
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The geological roots of South America: 4.1 Ga and 3.7 Ga zircon crystals discovered in N.E. Brazil and N.W. Argentina

2015

International audience; We present new LA-ICP-MS in situ geochronological results for seven Eoarchean zircons dated at 3.7 Ga coming from Cretaceous ash layers of NW Argentina and one Hadean single crystal sampled within the São Francisco Craton in NE Brazil. This zircon comprises a zoned magmatic core dated at 4.1 Ga surrounded by a 1.9 Ga overgrowth related to Paleoproterozoic reworking. This Hadean age is consistent with previously published Nd model ages on orthogneisses from the same domain. These two results represent among the oldest geological witnesses discovered to date in South America, which demonstrates the occurrence of a primitive crust. The contrasting age patterns recorded …

010504 meteorology & atmospheric sciencesU–Pb zircon datingLaser ablation ICP-MSHadeanGeochemistryAge patternsGeologyCrustHadean010502 geochemistry & geophysics[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistry01 natural sciencesCretaceousSao Francisco Craton BrazilSalta rift ArgentinaGeochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistryPrimitive crustSão Francisco CratonGeology0105 earth and related environmental sciencesZircon
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Simulación de flujos de carbono terrestres mediante teledetección y modelización de ecosistemas

2019

[EN] The main goal of this thesis is the establishment of a framework to analyze the forest ecosystems in peninsular Spain in terms of their role in the carbon cycle. In particular, the carbon fluxes that they exchange with atmosphere are modeled to evaluate their potential as carbon sinks and biomass reservoirs. The assessment of gross and net carbon fluxes is performed at 1-km spatial scale and on a daily basis using two different ecosystem models, Monteith and BIOME-BGC, respectively. These models are driven by a combination of satellite and ground data, part of the latter being also employed as a complementary data source and in the validation process. [ES] El objetivo principal de esta…

010504 meteorology & atmospheric sciencesWater stressGeography Planning and Development0211 other engineering and technologieslcsh:G1-922BIOME-BGC02 engineering and technologyAtmospheric sciences01 natural sciencesCarbon cycleAtmosphereforestwater stressEcosystem modelForest ecologyEarth and Planetary Sciences (miscellaneous)EcosystemForest021101 geological & geomatics engineering0105 earth and related environmental sciencesBiomass (ecology)Carbon sinkFlujos de carbonoBosquesMonteithEstrés hídricoSpatial ecologyEnvironmental scienceBIOM-BGClcsh:Geography (General)Carbon fluxes (GPP NEP)Revista de Teledetección
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Global Groundwater-Vegetation Relations

2017

Groundwater is an integral component of the water cycle, and it also influences the carbon cycle by supplying moisture to ecosystems. However, the extent and determinants of groundwater-vegetation interactions are poorly understood at the global scale. Using several high-resolution data products, we show that the spatial patterns of ecosystem gross primary productivity and groundwater table depth are correlated during at least one season in more than two-thirds of the global vegetated area. Positive relationships, i.e., larger productivity under shallower groundwater table, predominate in moisture-limited dry to mesic conditions with herbaceous and shrub vegetation. Negative relationships, …

010504 meteorology & atmospheric sciencesWater table0208 environmental biotechnology02 engineering and technologyecohydrological patterns01 natural sciencesgroundwaterEcosystemWater cycleplant productivity0105 earth and related environmental sciencesHydrologyecosystemVegetation15. Life on land6. Clean water020801 environmental engineeringGeophysicsProductivity (ecology)13. Climate actionSpatial ecologyGeneral Earth and Planetary SciencesEnvironmental scienceGroundwaterWater usespatial covariation
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Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station

2010

In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS<sup>1</sup>database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km<sup>2</sup>). The study focuses on the Valencia Anchor Station (VAS) experimental site, in Spain, which is one of the main SMOS Cal/Val sites in Europe. <br><br> A faithful representation of the soil moisture distribution at SMOS pixel scale (50×50 km<sup>2</sup>) requires an accurate estimation…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringContext (language use)02 engineering and technologysystemcomputer.software_genrerainfall estimation01 natural scienceslcsh:Technologylcsh:TD1-1066Precipitation[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologylcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentprecipitation estimationretrievallcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350DatabaseRain gaugeMoisturelcsh:Tlcsh:Geography. Anthropology. RecreationLife Sciencesneural-network15. Life on landparameterizationokavango riverproductsafricalcsh:G13. Climate actionSoil waterPERSIANNEnvironmental scienceSpatial variabilitycomputerHydrology and Earth System Sciences
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Growth of stylolite teeth patterns depending on normal stress and finite compaction

2007

Abstract Stylolites are spectacular rough dissolution surfaces that are found in many rock types. They are formed during a slow irreversible deformation in sedimentary rocks and therefore participate to the dissipation of tectonic stresses in the Earth's upper crust. Despite many studies, their genesis is still debated, particularly the time scales of their formation and the relationship between this time and their morphology. We developed a new discrete simulation technique to explore the dynamic growth of the stylolite roughness, starting from an initially flat dissolution surface. We demonstrate that the typical steep stylolite teeth geometry can accurately be modelled and reproduce natu…

010504 meteorology & atmospheric sciences[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph][SDE.MCG]Environmental Sciences/Global ChangesCompactionFOS: Physical sciencesMineralogyGeometry[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]Surface finish010502 geochemistry & geophysics01 natural sciencesPhysics::GeophysicsPhysics - GeophysicsStress (mechanics)Geochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistryEarth and Planetary Sciences (miscellaneous)Scaling0105 earth and related environmental sciencesElastic energyDissipation[SDE.MCG.CPE]Environmental Sciences/Global Changes/domain_sde.mcg.cpeGeophysics (physics.geo-ph)GeophysicsAmplitudeSpace and Planetary ScienceStyloliteGeologyEarth and Planetary Science Letters
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Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
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Personal Exposure to Ultrafine Particles According to Different Environments and Modes of Transport in Schoolchildren: Results from a Spanish Cohort …

2017

Background Combustion, especially in diesel engines, emits a complex mixture of gases and particles that could be harmful for the respiratory and cardiovascular systems. Daily personal exposure to the smallest particulate matter (less than 0.1 µm and usually called nanoparticles or ultrafine particles – UFP) has been studied to a lesser extent compared to coarser particles. In this study we aim to assess personal exposure to UFP in different environments and transport modes among schoolchildren from a Spanish birth-cohort in the province of Valencia. Methods The study population consisted of 114 children aged 10-11 years. For each of them, personal exposure to UFP was measured continuously …

010504 meteorology & atmospheric sciencesbusiness.industryCold seasonHealth PolicyPublic Health Environmental and Occupational HealthTransportation010501 environmental sciences01 natural sciencesPollutionExposure levelEnvironmental healthUltrafine particleCohortMedicineSafety Risk Reliability and QualitybusinessSafety ResearchExposure dataSimulation0105 earth and related environmental sciencesJournal of Transport & Health
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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