Search results for "207"

showing 10 items of 2255 documents

Estimation of evapotranspiration using SVAT models and surface IR temperature

1995

Soil Vegetation Atmosphere Transfer (SVAT) models have been implemented to estimate energy and mass fluxes between soil, vegetation and atmosphere of various ecosystems. They can also simulate remote sensing data and in particular thermal infrared surface temperature. Usually, these models are simple, but they use realistic descriptions of radiative, turbulent and water transfers. These include description of stomatal control of transpiration fluxes. Some studies have shown that such models may be used to derive evapotranspiration from surface temperature, using inversion procedures. In this study, inversion of two different SVAT models are compared.

010504 meteorology & atmospheric sciencesPlanetary boundary layer[SDV]Life Sciences [q-bio]0207 environmental engineeringSoil scienceInversion (meteorology)02 engineering and technologyVegetationAtmospheric temperatureAtmospheric sciences01 natural sciences[SDV] Life Sciences [q-bio]AtmosphereEvapotranspirationRadiative transferEnvironmental science020701 environmental engineeringComputingMilieux_MISCELLANEOUSTHERMOGRAPHIE IR0105 earth and related environmental sciencesTranspiration1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications
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Assessing optimal water quality monitoring network in road construction using integrated information-theoretic techniques

2020

Author´s accepted manuscript. The environmental impacts of road construction on the aquatic environment necessitate the monitoring of receiving water quality. The main contribution of the paper is developing a feasible methodology for spatial optimization of the water quality monitoring network (WQMN) in surface water during road construction using the field data. First, using the Canadian Council of Ministers of the Environment (CCME) method, the water quality index (WQI) was computed in each potential monitoring station during construction. Then, the integrated form of the information-theoretic techniques consists of the transinformation entropy (TE), and the value of information (VOI) we…

010504 meteorology & atmospheric sciencesRoad constructionOperations researchComputer science0207 environmental engineeringAnalytic hierarchy processTOPSIS02 engineering and technologyIdeal solutionMutual informationVDP::Teknologi: 500::Bygningsfag: 530::Konstruksjonsteknologi: 53301 natural sciencesValue of informationEntropy (information theory)Water quality020701 environmental engineering0105 earth and related environmental sciencesWater Science and TechnologyJournal of Hydrology
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Spatial variability of the relationships of runoff and sediment yield with weather types throughout the Mediterranean basin

2019

Este artículo contiene 16 páginas, 6 figuras, 2 tablas.

010504 meteorology & atmospheric sciencesRunoffErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technology01 natural sciencesMediterranean BasinHydrology (agriculture)Erosão Produção de sedimentos Escoamento Bacia MediterrânicaSoil retrogression and degradationddc:550020701 environmental engineering0105 earth and related environmental sciencesWater Science and TechnologyHydrologyMediterranean basinSediment yieldSedimentInstitut für Umweltwissenschaften und Geographie15. Life on land6. Clean waterSynoptic weather typesErosion13. Climate actionErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types; Water Science and TechnologyErosionEnvironmental scienceSpatial variabilitySoil conservationSurface runoff
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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
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Raindrop size distribution and terminal velocity for rainfall erosivity studies. A review

2019

Abstract The knowledge of the rainfall drop size distribution (DSD) at the land surface is essential for understanding precipitation mechanisms affecting soil erosion processes. Rainfall erosivity is defined as the potential of rain to cause erosion and it can be evaluated by rainfall kinetic power, which is determined by DSD and raindrop terminal velocity. This paper firstly deals with the raindrop terminal velocity estimate. Then the most widely used DSD are reviewed highlighting the difference between the raindrop size distribution per unit volume of air and that per unit area and time. The reliability of the available kinetic power-rainfall intensity relationships and their application …

010504 meteorology & atmospheric sciencesTerminal velocityRaindrop size distribution0207 environmental engineering02 engineering and technologyRainfall erosivitySeasonalitySeasonalityKinetic energyAtmospheric sciencesmedicine.disease01 natural sciencesRainfall kinetic powerDisdrometerDistribution (mathematics)ErosionmedicineEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliPrecipitationRainfall intensity020701 environmental engineeringIntensity (heat transfer)0105 earth and related environmental sciencesWater Science and Technology
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Impact de la variabilité climatique et du barrage de Nangbéto sur l'hydrologie du système Mono-Couffo (Afrique de l'Ouest)

2012

Resume En Afrique tropicale, de nombreuses etudes sur la variabilite climatique montrent qu'une tendance a la secheresse s'est manifestee a partir de la fin des annees 1960. Cette secheresse a affecte aussi l'hydrosysteme Mono-Couffo, en Afrique de l'Ouest, avec une persistance remarquable qui s'est repercutee sur les ecoulements. Depuis 1988, avec la mise en eau du barrage de Nangbeto, qui coincide avec une legere reprise pluviometrique dans les annees 1990, on assiste a une modification du regime hydrologique du Mono a Athieme. Les methodes statistiques appliquees aux donnees mensuelles de pluie et debit de la periode 1961–2000 ont permis de constater que les deficits pluviometriques des …

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changes0207 environmental engineering02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography01 natural sciencesWest africa[ SHS.GEO ] Humanities and Social Sciences/Geography[ SDE.MCG ] Environmental Sciences/Global ChangesGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology020701 environmental engineering[ SDU.STU.HY ] Sciences of the Universe [physics]/Earth Sciences/HydrologyHumanitiesComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesWater Science and Technology
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Simulating future trends in hydrological regime of a large Sudano-Sahelian catchment under climate change

2012

Summary This paper assesses the future variability of water resources in the short, medium and long terms over a large Sudano-Sahelian catchment in West Africa. Flow simulations were performed with a daily conceptual model. A period of nearly 50 years (1952–2000) was chosen to capture long-term hydro-climatic variability. Calibration and validation were performed on the basis of a multi-objective function that aggregates a variety of goodness-of-fit indices. The climate models HadCM3 and MPI-M under SRES-A2 were used to provide future climate scenarios over the catchment. Outputs from these models were used to generate daily rainfall and temperature series for the 21st century according to:…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changeshydro-climatic variability climatic scenarios hydrological modeling River Bani West Africa0207 environmental engineeringClimate changeRiver Bani02 engineering and technologyStructural basinHydrological modeling01 natural sciencesHadCM3EvapotranspirationWest Africa020701 environmental engineeringHydro-climatic variability0105 earth and related environmental sciencesWater Science and TechnologyClimatic scenarios6. Clean waterWater resources[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology13. Climate actionClimatologyEnvironmental scienceClimate model[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySurface runoffDownscalingJournal of Hydrology
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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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Hydrostratigraphic characterization of glaciofluvial deposits underlying an infiltration basin using ground penetrating radar.

2008

14 pages; International audience; An understanding of the heterogeneity of quaternary gravelly deposits is required to predict flow and contaminant transfer through these formations. In such deposits, preferential flow paths can lead to contamination at depths greater than predicted under the assumption of a homogeneous medium. The difficulties in characterizing their complex structure with conventional methods represent an obstacle for this prediction. In this study, we developed an approach relying on the use of ground penetrating radar (GPR) for the detection of sedimentary depositional units. A genetic interpretation of the radar stratigraphy allowed us to construct a distribution model…

010504 meteorology & atmospheric sciences[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph][SDE.MCG]Environmental Sciences/Global Changes0207 environmental engineeringInfiltration basinSoil Science[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]02 engineering and technology[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy01 natural scienceslaw.inventionSedimentary depositional environment[ SDU.STU.GP ] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph][ PHYS.PHYS.PHYS-GEO-PH ] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]lawRadar020701 environmental engineeringPetrologyGeomorphologyWater content0105 earth and related environmental sciences6. Clean waterInfiltration (hydrology)[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyGround-penetrating radarSedimentary rockSaturation (chemistry)Geology
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Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia Anchor Station

2010

16 páginas, 9 figuras, 5 tablas.

010504 meteorology & atmospheric sciencestélédétectionMISSION SMOS0211 other engineering and technologiesSpaceespagne02 engineering and technologylcsh:Technology01 natural sciencesValidationTraitement du signal et de l'imagelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentlcsh:Environmental sciencesComputingMilieux_MISCELLANEOUSlcsh:GE1-350InclusionRetrievalMoistureModelling soil moistureSignal and Image processinglcsh:Geography. Anthropology. RecreationRemote sensingDISPOSITIF EXPERIMENTAL; MISSION SMOSProductseurope[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOS[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringGrowing seasonParameterizationSpatial distributionlcsh:TD1-1066SchemeHapexspectroradiomètre14. Life underwater[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerlcsh:TAMSR-Epays méditerranéenSalinityERS scatterometerlcsh:G13. Climate actionDISPOSITIF EXPERIMENTALSoil waterEnvironmental scienceRadiometry
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