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showing 10 items of 14693 documents

Theoretical study on the decomposition mechanism of bisphenol A polycarbonate induced by the combined effect of humidity and UV irradiation.

2020

Polycarbonate (PC) is a good material for covering and protecting cultural heritage sites because of its durability, mechanical properties, and transparency. When bisphenol A polycarbonate is subjected to weathering conditions this polymer shows several degradation processes depending on the irradiation wavelength, humidity and temperature. In particular, the combined effects of humidity and UV irradiation speed up the PC molecular weight reduction. In this work, the decomposition mechanisms associated to the hydrolysis process are scrutinized and the effects of UV irradiation on the hydrolysis process are evaluated throughout the Density Functional Theory (DFT) approach. It was found that …

010407 polymersMaterials sciencePolymersUltraviolet Rays02 engineering and technologyPhotochemistry01 natural sciencesHydrolysisDFT modeling; hydrolysis process; polycarbonate; weathering degradationMaterials ChemistryIrradiationPhysical and Theoretical ChemistryPolycarbonateBenzhydryl CompoundsSpectroscopychemistry.chemical_classificationHumidityHumidityPolymerModels Theoretical021001 nanoscience & nanotechnologyComputer Graphics and Computer-Aided DesignDecomposition0104 chemical sciencespolycarbonatechemistryhydrolysis processvisual_artvisual_art.visual_art_mediumDegradation (geology)Density functional theoryDFT modeling0210 nano-technologyweathering degradationJournal of molecular graphicsmodelling
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
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Linking photosynthesis and sun-induced fluorescence at sub-daily to seasonal scales

2018

Abstract Due to its close link to the photosynthetic process, sun-induced chlorophyll fluorescence (F) opens new possibilities to study dynamics of photosynthetic light reactions and to quantify CO2 assimilation rates. Although recent studies show that F is linearly related to gross primary production (GPP) on coarse spatial and temporal scales, it is argued that this relationship may be mainly driven by seasonal changes in absorbed photochemical active radiation (APAR) and less by the plant light use efficiency (LUE). In this work a high-resolution spectrometer was used to continuously measure red and far-red fluorescence and different reflectance indices within a sugar beet field during t…

010504 meteorology & atmospheric sciencesEconomicsPhotochemical reflectance index0211 other engineering and technologiesEddy covarianceGrowing seasonSoil Science02 engineering and technologyPhotochemical Reflectance IndexPhotosynthesisAtmospheric sciences01 natural sciencesFluorescence yieldSun-induced chlorophyll fluorescencemedicineddc:550Computers in Earth SciencesChlorophyll fluorescenceBiology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLight use efficiencyPhysicsDiurnal temperature variationPrimary productionGeologySeasonalitymedicine.diseaseChemistryEngineering sciences. Technology
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Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

2019

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF – especially from space – is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence. Current technical capabilities allow SIF to be measured across a range of biological, spatial, and temporal scales. As an optical signal, SIF may be assessed remotely using high-resolution spectral sensors in …

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE0208 environmental biotechnologySoil ScienceReview02 engineering and technologyPhotochemical Reflectance Index01 natural sciencesArticleGEO/11 - GEOFISICA APPLICATASIF retrieval methodsRadiative transfer modellingRadiative transfer910 Geography & travelComputers in Earth SciencesChlorophyll fluorescence1111 Soil Science1907 GeologyAirborne instruments0105 earth and related environmental sciencesRemote sensingStress detectionGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA1903 Computers in Earth SciencesPrimary productionGeologyVegetationPassive optical techniquesField (geography)020801 environmental engineeringGEO/10 - GEOFISICA DELLA TERRA SOLIDA10122 Institute of GeographySun-induced fluorescenceRemote sensing (archaeology)Sun-induced fluorescence Steady-state photosynthesis Stress detection Radiative transfer modelling SIF retrieval methods. Satellite sensors Airborne instruments Applications Terrestrial vegetation Passive optical techniques. ReviewApplicationsTerrestrial vegetationEnvironmental scienceSatelliteSteady-state photosynthesisSatellite sensors
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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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Effects of climate change and land use intensification on regional biological soil crust cover and composition in southern Africa

2022

Biological soil crusts (biocrusts) form a regular and relevant feature in drylands, as they stabilize the soil, fix nutrients, and influence water cycling. However, biocrust forming organisms have been shown to be dramatically vulnerable to climate and land use change occurring in these regions. In this study, we used Normalized Difference Vegetation Index (NDVI) data of biocrust-dominated pixels (NDVIbiocrust) obtained from hyperspectral and LANDSAT-7 data to analyse biocrust development over time and to forecast future NDVIbiocrust development under different climate change and livestock density scenarios in southern Africa. We validated these results by analysing the occurrence and compo…

010504 meteorology & atmospheric sciencesNDVISoil ScienceLibrary science01 natural sciencesGermanRegional developmentEffects of global warmingPolitical science11. SustainabilityNobel laureateBiocrustmedia_common.cataloged_instanceSpatial distributionEuropean union0105 earth and related environmental sciencesmedia_common2. Zero hungerLand useEuropean researchLivestock density04 agricultural and veterinary sciences15. Life on landRemote sensingEcologíaSpace-for-time studylanguage.human_languageEarth system modelDrylands soils13. Climate action040103 agronomy & agriculturelanguage0401 agriculture forestry and fisheriesChristian ministryMulti-temporal Landsat imageryGeoderma
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Steroid Biomarkers Revisited - Improved Source Identification of Faecal Remains in Archaeological Soil Material.

2017

Steroids are used as faecal markers in environmental and in archaeological studies, because they provide insights into ancient agricultural practices and the former presence of animals. Up to now, steroid analyses could only identify and distinguish between herbivore, pig, and human faecal matter and their residues in soils and sediments. We hypothesized that a finer differentiation between faeces of different livestock animals could be achieved when the analyses of several steroids is combined (Δ5-sterols, 5α-stanols, 5β-stanols, epi-5β-stanols, stanones, and bile acids). We therefore reviewed the existing literature on various faecal steroids from livestock and humans and analysed faeces …

010504 meteorology & atmospheric sciencesPhysiologySwineSocial Scienceslcsh:MedicinePlant ScienceBreeding01 natural sciencesFecesSoilchemistry.chemical_compoundChenodeoxycholic acidMedicine and Health SciencesBilelcsh:ScienceMammalsMultidisciplinaryEcologyOrganic CompoundsGoatsAgricultureRuminantsBreedBody FluidsTrophic InteractionsCoprostanolChemistrySterolsArchaeologyCommunity EcologyPhysical SciencesVertebratesSteroidsLivestockDonkeyAnatomyResearch Article010506 paleontologyLivestockEquinesBiologyGas Chromatography-Mass SpectrometryBile Acids and SaltsGoosePlant-Animal Interactionsbiology.animalAnimalsHumansHerbivoryHorsesFeces0105 earth and related environmental sciencesHerbivorebusiness.industryPlant EcologyOrganic ChemistryEcology and Environmental Scienceslcsh:RChemical CompoundsOrganismsBiology and Life SciencesArchaeologychemistryAmnioteslcsh:QbusinessBiomarkersPLoS ONE
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Radiogenic isotopes: new tools help reconstruct paleocean circulation and erosion input

2001

Ocean and atmosphere circulation and continental weathering regimes have undergone great changes over thousands of years as well as tens of millions of years. During the glacial stages of the Pleistocene, ocean circulation was generally more sluggish and deep water circulation in the Atlantic had a shallower flow. At the same time, weathering on the continents was enhanced by glacial erosion, particularly in high northern latitudes, which increased the input of erosional detritus into the ocean. In addition, atmospheric pressure gradients were larger, leading to higher wind speeds and increased supply of aeolian dust to the ocean. Prior to the onset of Northern Hemisphere glaciation and pro…

010504 meteorology & atmospheric sciencesPleistoceneNorth Atlantic Deep WaterOcean currentPhysical oceanography010502 geochemistry & geophysics01 natural sciencesOceanographyShutdown of thermohaline circulation13. Climate actionInterglacialGeneral Earth and Planetary SciencesThermohaline circulationGlacial periodGeology0105 earth and related environmental sciencesEOS
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