Search results for " parameter"

showing 10 items of 13688 documents

Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications

2019

The scientific community requires long-term data records with well-characterized uncertainty and suitable for modeling terrestrial ecosystems and energy cycles at regional and global scales. This paper presents the methodology currently developed in EUMETSAT within its Satellite Application Facility for Land Surface Analysis (LSA SAF) to generate biophysical variables from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on board MSG 1-4 (Meteosat 8-11) geostationary satellites. Using this methodology, the LSA SAF generates and disseminates at a time a suite of vegetation products, such as the leaf area index (LAI), the fraction of the photosynthetically active radiation absorbed …

Data records010504 meteorology & atmospheric sciencesData productsSciencemeteosat second generation (MSG); biophysical parameters (LAI; FVC; FAPAR); SEVIRI; climate data records (CDR); stochastic spectral mixture model (SSMM); Satellite Application Facility for Land Surface Analysis (LSA SAF)0211 other engineering and technologiesstochastic spectral mixture model (SSMM)02 engineering and technology01 natural sciencesFAPAR)climate data records (CDR)Leaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesQVegetationSEVIRIMixture modelSatellite Application Facility for Land Surface Analysis (LSA SAF)FVCbiophysical parameters (LAIPhotosynthetically active radiationGeostationary orbitGeneral Earth and Planetary SciencesEnvironmental sciencemeteosat second generation (MSG)SatelliteAlgorithmRemote Sensing; Volume 11; Issue 18; Pages: 2103
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Hyper-concentrated flows: experimental investigation of effect of inflow parameters and sediment concentration on propagation process

2017

Debris-flows runout estimations are of crucial importance to delineate the potentially hazardous areas and to make reliable assessment of the level of risk of urban areas. Especially in recent years, several researches have been conducted in order to define predicitive models. But, existing runout estimation methods need input parameters that can be difficult to estimate. Recent experimental researches have also allowed the assessment of the physics of the debris flows. But, the major part of the experimental studies analyze the basic kinematic conditions which determine the phenomenon evolution. Experimental program has been recently conducted at the Hydraulic laboratory of the Department …

Debris flows parameters prediction
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Bounding principles for elastic-plastic-creeping solids loaded below and above the shakedown limit

1982

Solids of elastic-perfectly plastic creeping material subjected to variable loads are considered within the infinitesimal displacement framework and a bounding principle is presented which holds below and above the shakedown limit. Through the choice of some free parameters, this principle generates a number of deformation bounds with practical meanings, some of wich coincide with known results for creeping and noncreeping material, while others constitute new results or generalizations of known results. The topic will be further studied in a subsequent paper [35].

Deformation (mechanics)Mechanical EngineeringInfinitesimalMechanicsCondensed Matter PhysicsShakedownMechanics of MaterialsBounding overwatchCalculusLimit (mathematics)Displacement (fluid)MathematicsVariable (mathematics)Free parameterMeccanica
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Indoor air quality in schools of a highly polluted south Mediterranean area

2019

This study aimed at surveying lower secondary schools in southern Italy, in a highly polluted area. A community close to an industrial area and three villages in rural areas was investigated. Indoor temperature, relative humidity (RH), gaseous pollutants (CO 2 and NO 2 ), selected biological pollutants in indoor dust, and the indoor/outdoor mass concentration and elemental composition of PM 2.5 were ascertained. Temperature and RH were within, or close to, the comfort range, while CO 2 frequently exceeded the threshold of 1000 ppm, indicating inadequate air exchange rate. In all the classrooms, median NO 2 levels were above the WHO threshold value. Dermatophagoides p. allergen concentration…

Der p 1Rural PopulationendotoxinEnvironmental EngineeringPM010504 meteorology & atmospheric sciencesThreshold limit valueair pollutionNitrogen DioxideAir pollutionPM2.5010501 environmental sciencesmedicine.disease_causecomplex mixtures01 natural sciencesindoor comfort parametersIndoor air qualityindoor comfort parameterMetals HeavymedicineHumansMass concentration (chemistry)Relative humidityParticle Sizeheavy metalsSicily0105 earth and related environmental sciencesPollutantAir PollutantsCarbon MonoxideElemental compositionSettore ING-IND/11 - Fisica Tecnica AmbientaleSchoolsMediterranean RegionTemperaturePublic Health Environmental and Occupational HealthDustHumidityBuilding and Constructionheavy metalVentilation2.5Air Pollution IndoorEnvironmental chemistryEnvironmental scienceMediterranean areaParticulate MatterEnvironmental MonitoringIndoor Air
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CCDC 255647: Experimental Crystal Structure Determination

2005

Related Article: T.S.B.Baul, W.Rynjah, E.Rivarola, C.Pettinari, A.Linden|2005|J.Organomet.Chem.|690|1413|doi:10.1016/j.jorganchem.2004.12.013

Di-n-butyl-(5-((E)-2-(4-chlorophenyl)-1-azenyl)-2-hydroxybenzoato)-(5-((E)-2-(4-methylphenyl)-1-azenyl)-2-hydroxybenzoato)-tin(iv)Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 646868: Experimental Crystal Structure Determination

2008

Related Article: T.S.B.Baul, C.Masharing, S.Basu, C.Pettinari, E.Rivarola, S.Chantrapromma, Hoong-Kun Fun|2008|Appl.Organomet.Chem.|22|114|doi:10.1002/aoc.1358

Di-n-butyl-bis(4-((Z)-4-oxopent-2-en-2-ylamino)benzoato-O)-tin(iv)Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 238449: Experimental Crystal Structure Determination

2005

Related Article: Ming-Liang Tong, M.Monfort, J.M.C.Juan, Xiao-Ming Chen, Xian-He Bu, M.Ohba, S.Kitagawa|2005|Chem.Commun.||233|doi:10.1039/b415431b

Di-potassium (mu~6~-carbonato)-tris(mu~2~-acetato)-hexakis(mu~2~-azido-NN)-tris(mu~2~-2-cyano-11-bis(2-pyridyl)ethanolato)-hexa-nickel acetonitrile solvate hydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 815937: Experimental Crystal Structure Determination

2012

Related Article: S.Majumder, S.Dutta, L.M.Carrella, E.Rentschler, S.Mohanta|2011|J.Mol.Struct.|1006|216|doi:10.1016/j.molstruc.2011.09.011

Diaqua-(22'-(12-phenylenebis((nitrilo)methylylidene))bis(6-ethoxyphenolato)-NN'OO')-iron(iii) nitrate monohydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 960138: Experimental Crystal Structure Determination

2013

Related Article: Mainak Mitra, Julio Lloret-Fillol, Matti Haukka, Miquel Costas, Ebbe Nordlander|2014|Chem.Commun.|50|1408|doi:10.1039/C3CC47830K

Diaqua-(2-((47-dimethyl-147-triazonan-1-yl)methyl)-1-methyl-1H-benzimidazole)-iron(ii) bis(trifluoromethanesulfonate)Space GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 890481: Experimental Crystal Structure Determination

2013

Related Article: C.R.de Arellano, E.Escriva, C.J.Gomez-Garcia, G.M.Espallargas, R.Ballesteros, B.Abarca|2013|CrystEngComm|15|1836|doi:10.1039/c2ce26654g

Diaqua-(33'-(pyridine-26-diyl)bis[123]triazolo[15-a]pyridine)-copper(ii) bis(tetrafluoroborate) dihydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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