Search results for "LiCa"

showing 10 items of 20660 documents

Activity-composition relations for the calculation of partial melting equilibria in metabasic rocks

2020

A set of thermodynamic models is presented that, for the first time, allows partial melting equilibria to be calculated for metabasic rocks. The models consist of new activity–composition relations combined with end-member thermodynamic properties from the Holland & Powell dataset, version 6. They allow for forward modelling in the system Na (Formula presented.) O–CaO–K (Formula presented.) O–FeO–MgO–Al (Formula presented.) O (Formula presented.) –SiO (Formula presented.) –H (Formula presented.) O–TiO (Formula presented.) –Fe (Formula presented.) O (Formula presented.). In particular, new activity–composition relations are presented for silicate melt of broadly trondhjemitic–tonalitic compo…

010504 meteorology & atmospheric sciencesPartial meltingMineralogyThermodynamicsGeologyComposition (combinatorics)010502 geochemistry & geophysics01 natural sciencesSilicatechemistry.chemical_compoundchemistryGeochemistry and PetrologyTetrahedronGeologyMixing (physics)0105 earth and related environmental sciencesSolid solutionJournal of Metamorphic Geology
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Evaluation of the S-NPP VIIRS land surface temperature product using ground data acquired by an autonomous system at a rice paddy

2018

Abstract The S-NPP VIIRS Land Surface Temperature (LST) product attained the stage V1 of validation maturity (provisional validated) at the end of 2014. This paper evaluates the current VIIRS V1 LST product versus concurrent ground data acquired at a rice paddy site from December 2014 to August 2016. The experimental site has three different seasonal and homogeneous land covers through the year, which makes the site interesting for validation activities. An autonomous and multiangular system was used to record continuous ground data at the site. The data acquired at zenith angles similar to the VIIRS viewing angles were used for the validation to avoid possible differences between satellite…

010504 meteorology & atmospheric sciencesPixelMeteorologymedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyLand cover01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science ApplicationsSkyEmissivityRange (statistics)Environmental scienceSatelliteStage (hydrology)Computers in Earth SciencesEngineering (miscellaneous)Zenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonISPRS Journal of Photogrammetry and Remote Sensing
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Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

2020

Abstract Green fractional vegetation cover ( f c ) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of f c via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research. Although many studies have explored the effectiveness of RA algorithms over the past 30 years, a literature review summarizing the corresponding theoretical background, issues, current state-of-the-art techniques, challenges, and prospects has not yet been published. The overall objective of the present study was to accomplish a compre…

010504 meteorology & atmospheric sciencesResilient Livelihoods0211 other engineering and technologies02 engineering and technologyForests01 natural sciencesNormalized Difference Vegetation IndexArticleVegetation coverAbundance (ecology)Computers in Earth SciencesAdaptationEngineering (miscellaneous)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematicsEstimationVegetationBiodiversity15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsRemote sensing (archaeology)Vegetation IndexAlgorithm
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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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Testing simple scaling in soil erosion processes at plot scale

2018

Abstract Explaining scale effects for runoff and erosion improves our understanding and simulation ability of hydrological and erosion processes. In this paper, plot scale effects on event runoff per unit area (Qe), sediment concentration (Ce) and soil loss per unit area (SLe) were checked at El Teularet-Sierra de Enguera experimental site in Eastern Spain. The measurements were carried out for 31 events occurring in the years 2005 and 2007 in bare ploughed plots ranging from 1 to 48 m2. The analysis established the scaling relationship by dimensional analysis and self-similarity theory, and tested this relationship at different temporal scales ranging from event to annual scale. The dimens…

010504 meteorology & atmospheric sciencesScale (ratio)Runoff0208 environmental biotechnologySoil scienceNatural rainfall02 engineering and technology01 natural sciencesHydrology (agriculture)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTemporal scalesScaling0105 earth and related environmental sciencesEarth-Surface ProcessesPlotsSedimentPE&RC020801 environmental engineeringScalePlotSediment concentrationSpatial ecologyErosionSoil erosionEnvironmental scienceSurface runoff
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Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site

2016

Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts. The applicability of the Universal Soil Loss Equation (USLE) at event scale is affected by the fact that USLE rainfall erosivity factor does not take into account runoff explicitly. USLE-M and USLE-MM, including the effect of runoff in the event rainfall– runoff erosivity factor, are characterized by a better capacity to predict event soil loss. The specific objectives of this paper were (i) to determine the suitable parameterization of USLE, USLE-M and USLE-MM by using the dataseries of Sparacia experimental site and (ii) to evaluat…

010504 meteorology & atmospheric sciencesScale (ratio)Soil ScienceSoil scienceDevelopment01 natural sciencesDeposition (geology)Soil lossplot soil loUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental Chemistry0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)Hydrologysoil erosionSediment04 agricultural and veterinary sciencesUniversal Soil Loss Equation040103 agronomy & agricultureLand degradationUSLE-M0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffEvent scaleLand Degradation & Development
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An assessment of the global impact of 21st century land use change on soil erosion

2017

Human activity and related land use change are the primary cause of accelerated soil erosion, which has substantial implications for nutrient and carbon cycling, land productivity and in turn, worldwide socio-economic conditions. Here we present an unprecedentedly high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data. We challenge the previous annual soil erosion reference values as our estimate, of 35.9 Pg yr−1 of soil eroded in 2012, is at least two times lower. Moreover, we estimate the spatial and temporal effects of land use change between 2001 and 2012 and the potential offset of the global application o…

010504 meteorology & atmospheric sciencesScienceGeneral Physics and AstronomyHigh resolution010501 environmental sciences01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyAnthropogenic effect census conservation management environmental impact assessment GIS global perspective human activity land use change remote sensing soil conservation soil erosionSoutheast asiaCarbon cycleNutrientSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLand use land-use change and forestrylcsh:Scienceskin and connective tissue diseases0105 earth and related environmental sciencesLand productivityMultidisciplinaryQGeneral ChemistryAgriculture and Soil ScienceReference valuesEnvironmental sciencelcsh:QPhysical geographysense organs
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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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Eustasy and sea water Sr composition: application to high-resolution Sr-isotope stratigraphy of Miocene shallow-water carbonates

2007

Oceanic 87 Sr/ 86 Sr-isotope ratios are strongly influenced by rates of silicate weathering and therefore linked not only to glaciation but also to sea-level change. The present study combines analysis of sequence stratigraphy and basin architecture with Sr-isotope stratigraphy in Miocene shallow-water sediments in southern Portugal and Crete (Greece). The common method is to use smoothed global sea water Sr-isotope reference curves but here a different approach is chosen. Instead, measured Sr-isotope curves are correlated with unsmoothed reference curves by identification of similar fluctuations in the order of several 100 kyr. Transgressive intervals are characterized by increasing Sr-iso…

010504 meteorology & atmospheric sciencesStratigraphy550 - Earth sciencesGeologyWeathering010502 geochemistry & geophysics01 natural sciencesSilicateWaves and shallow waterPaleontologychemistry.chemical_compoundStratigraphychemistry13. Climate actionDeglaciationSequence stratigraphySedimentary rock14. Life underwaterChronostratigraphyGeology0105 earth and related environmental sciencesSedimentology
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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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