Search results for "KA"

showing 10 items of 43524 documents

The MIRS computer package for modeling the rovibrational spectra of polyatomic molecules

2003

International audience; The MIRS spectroscopic software for the modeling of ro-vibrational spectra of polyatomic molecules is presented. It is designed for the global treatment of complex band systems of molecules to take full account of symmetry properties. It includes e cient algorithms based on the irreducible tensor formalism. Predictions and simultaneous data fi tting (positions and intensities) are implemented as well as advanced options related to group theory algebra. Illustrative examples on CH3D, CH4, CH3Cl and PH3 are reported and the present status of data available is given. It is written in C++ for standard PC computer operating under Windows. The full package including on-lin…

010504 meteorology & atmospheric sciences01 natural sciencesSpectral lineSoftwareComputer package0103 physical sciencesMoleculeSpectroscopy0105 earth and related environmental sciencesPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]RadiationSpectroscopic database010304 chemical physicsbusiness.industryPolyatomic ionRotational–vibrational spectroscopyMolecular spectroscopyAtmospheric applicationsAtomic and Molecular Physics and OpticsComputational physics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Rotation vibrationCurve fittingbusinessInfraredGroup theorySoftware
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Simulated European stalagmite record and its relation to a quasi-decadal climate mode

2013

Abstract. A synthetic stalagmite record for the Bunker cave is constructed using a combined climate-stalagmite modeling approach. The power spectrum of the simulated speleothem calcite δ18O record has a pronounced peak at quasi-decadal time scale. Interestingly, mixing processes in the soil and karst above the cave represent a natural low-pass filter of the speleothem climate archive. We identify a quasi-decadal mode characterized by a "tripole pattern" of sea surface temperature affecting stalagmite δ18O values. This pattern, which is well-known in literature as the quasi-decadal mode in the North Atlantic, propagates eastwards and affects western European temperature surrounding the cave.…

010504 meteorology & atmospheric sciencesAtmospheric circulationδ18OStratigraphylcsh:Environmental protectionSpeleothemStalagmite010502 geochemistry & geophysics01 natural scienceschemistry.chemical_compound03 medical and health sciencesCavelcsh:Environmental pollutionlcsh:TD169-171.8lcsh:Environmental sciences030304 developmental biology0105 earth and related environmental sciencesCalcitelcsh:GE1-350Global and Planetary Changegeography0303 health sciencesgeography.geographical_feature_categoryPaleontologyKarstchemistry13. Climate actionClimatologylcsh:TD172-193.5GeologyTeleconnectionClimate of the Past
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Environmental and biological factors are joint drivers of mercury biomagnification in subarctic lake food webs along a climate and productivity gradi…

2021

Subarctic lakes are getting warmer and more productive due to the joint effects of climate change and intensive land-use practices (e.g. forest clear-cutting and peatland ditching), processes that potentially increase leaching of peat- and soil-stored mercury into lake ecosystems. We sampled biotic communities from primary producers (algae) to top consumers (piscivorous fish), in 19 subarctic lakes situated on a latitudinal (69.0-66.5 degrees N), climatic (+3.2 degrees C temperature and +30% precipitation from north to south) and catchment land-use (pristine to intensive forestry areas) gradient. We first tested how the joint effects of climate and productivity influence mercury biomagnific…

010504 meteorology & atmospheric sciencesBiomagnificationTROPHIC POSITIONmaankäyttö010501 environmental sciencesMETHYLMERCURY01 natural sciencesFood chainBiological FactorsONTARIO LAKESCHAIN STRUCTUREClimate changeympäristömyrkytWaste Management and DisposalLand-useApex predatorTrophic levelkalatStable isotopes2. Zero hungerFRESH-WATEREcologyFishesvesiekosysteemitBIOACCUMULATIONselkärangattomatPollutionSubarctic climateclimate changeProductivity (ecology)Environmental MonitoringFood chain lengthEnvironmental EngineeringFood Chainelohopeachemistry.chemical_elementstable isotopeskasautuminenWHITEFISHland-useEnvironmental ChemistryAnimalsravintoketjutEcosystem1172 Environmental sciences0105 earth and related environmental sciencesfishfood chain lengthLake ecosystemMercury15. Life on landilmastonmuutoksetCHARR SALVELINUS-ALPINUSinvertebratesInvertebratesMercury (element)LakesFishchemistryisotooppianalyysi13. Climate actionEnvironmental scienceMARINEWater Pollutants Chemical
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Estimating the macroscopic capillary length from Beerkan infiltration experiments and its impact on saturated soil hydraulic conductivity predictions

2020

International audience; The macroscopic capillary length, λc, is a fundamental soil parameter expressing the relative importance of the capillary over gravity forces during water movement in unsaturated soil. In this investigation, we propose a simple field method for estimating λc using only a single-ring infiltration experiment of the Beerkan type and measurements of initial and saturated soil water contents. We assumed that the intercept of the linear regression fitted to the steady-state portion of the experimental infiltration curve could be used as a reliable predictor of λc. This hypothesis was validated by assessing the proposed calculation approach using both analytical and field d…

010504 meteorology & atmospheric sciencesCapillary actionField dataHydraulic conductivity0207 environmental engineeringSoil science02 engineering and technology[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesHydraulic conductivityBeerkan Hydraulic conductivity Infiltration Macroscopic capillary length Ring infiltrometerApproximation errorBeerkanLinear regressionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology020701 environmental engineeringRing infiltrometer0105 earth and related environmental sciencesWater Science and TechnologyInfiltration6. Clean waterMacroscopic capillary lengthInfiltration (hydrology)Capillary lengthSoil waterEnvironmental science
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Potential impacts of a future Nordic bioeconomy on surface water quality

2020

AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…

010504 meteorology & atmospheric sciencesClimate ChangeVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910Geography Planning and DevelopmentLand managementClimate changemaankäyttö010501 environmental sciences01 natural sciencesEnvironmental Effects of a Green Bio-EconomyEcosystem servicesVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Environmental ChemistryProduction (economics)Humans14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Ecosystem0105 earth and related environmental sciences2. Zero hungerBiomass (ecology)EcologyLand usebusiness.industryEnvironmental resource managementSurface waterGeneral Medicine15. Life on landModels TheoreticalvedenlaatuBioeconomy6. Clean waterWater qualitypintavesi13. Climate actionLand useEnvironmental scienceWater qualitybusinessbiotalousSurface waterForecasting
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Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

2020

Remote sensing optical sensors onboard operational satellites cannot have high spectral, spatial and temporal resolutions simultaneously. In addition, clouds and aerosols can adversely affect the signal contaminating the land surface observations. We present a HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) algorithm to combine multispectral images of different sensors to reduce noise and produce monthly gap free high resolution (30 m) observations over land. Our approach uses images from the Landsat (30 m spatial resolution and 16 day revisit cycle) and the MODIS missions, both from Terra and Aqua platforms (500 m spatial resolution and daily revisit cycle). We implem…

010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologyMultispectral imageSoil Science02 engineering and technology01 natural sciencesArticleComputers in Earth SciencesImage resolution0105 earth and related environmental sciencesRemote sensingPropagation of uncertaintyNoise (signal processing)GeologyKalman filterData fusionSensor fusion020801 environmental engineeringMODIS13. Climate actionScalabilityGap fillingKalman filterLandsatSmoothingSmoothingRemote Sensing of Environment
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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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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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Soil development on sediments and evaporites of the Messinian crisis

2020

Abstract Vast areas in the Mediterranean are characterised by evaporite deposits of the Messinian crises (c. 6–5.3 Ma BP). During this period, large deposits were built up in shallow lagoon-like systems and are now found in southern Italy, Albania, Cyprus and Turkey. So far, soil formation on evaporites has been studied predominantly in subarid to arid environments. Although the formation of soils has received new significance, little is known about the evolutional trajectories on evaporites of the Mediterranean. We therefore studied soil formation in the Caltanissetta basin (Sicily) where evaporites are most widespread. The lithologies included the sequence: marine clay deposits, laminated…

010504 meteorology & atmospheric sciencesEvaporite1904 Earth-Surface ProcessesGeochemistryEarthWeathering04 agricultural and veterinary sciences01 natural sciencesDiagenesis10122 Institute of GeographyPedogenesisSurface ProcessesSettore AGR/14 - PedologiaSoil formation Evaporites Clay mineralogy Weathering Diatomite Stable isotopes CarbonatesLeaching (pedology)Marl040103 agronomy & agriculture0401 agriculture forestry and fisheriesKaoliniteAridisol910 Geography & travelGeology0105 earth and related environmental sciencesEarth-Surface Processes
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Explosive eruptive history of Pantelleria, Italy: Repeated caldera collapse and ignimbrite emplacement at a peralkaline volcano

2018

A new, pre-Green Tuff (46 ka) volcanic stratigraphy is presented for the peralkaline Pantelleria Volcano, Italy. New 40Ar/39Ar and paleomagnetic data are combined with detailed field studies to develop a comprehensive stratigraphic reconstruction of the island.We find that the pre-46 ka succession is characterised by eight silicarich peralkaline (trachyte to pantellerite) ignimbrites,many ofwhich blanketed the entire island. The ignimbrites are typically welded to rheomorphic, and are commonly associated with lithic breccias and/or pumice deposits. They record sustained radial pyroclastic density currents fed by lowpyroclastic fountains. The onset of ignimbrite emplacement is typically prec…

010504 meteorology & atmospheric sciencesGeochemistryPyroclastic rockTrachyte010502 geochemistry & geophysics01 natural sciencesPeralkaline rock40Ar/39Ar datingEffusive eruptionGeochemistry and PetrologyPumiceBreccia[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyCalderaEruptive history0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryIgnimbritesPeralkaline volcanismSettore GEO/07 - Petrologia E PetrografiaSettore GEO/08 - Geochimica E VulcanologiaCaldera collapsePeralkaline volcanism Pantelleria Ignimbrites Caldera collapse Eruptive history 40Ar/39Ar datingGeophysicsVolcano13. Climate actionSeismologyGeologyPantelleria
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