Search results for "STICS"

showing 10 items of 21128 documents

A space-time rainfall generator for highly convective Mediterranean rainstorms

2003

Distributed hydrological models require fine resolution rainfall inputs, enhancing the practical interest of space-time rainfall models, capable of generating through numerical simulation realistic space-time rainfall intensity fields. Among different mathematical approaches, those based on point processes and built upon a convenient analytical description of the raincell as the fundamental unit, have shown to be particularly suitable and well adapted when extreme rainfall events of convective nature are considered. Starting from previous formulations, some analytical refinements have been considered, allowing practical generation of space-time rainfall intensity fields for that type of rai…

010504 meteorology & atmospheric sciencesMeteorology0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyMethod of moments (statistics)01 natural sciencesPoint processlcsh:TD1-1066lcsh:Environmental technology. Sanitary engineering020701 environmental engineering[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereComputer simulationRain gauge[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSpace timelcsh:QE1-996.5lcsh:Geography. Anthropology. Recreation[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment6. Clean waterRunoff modellcsh:Geologylcsh:G13. Climate actionClimatology[SDU.STU] Sciences of the Universe [physics]/Earth SciencesGeneral Earth and Planetary SciencesEnvironmental scienceIntensity (heat transfer)Generator (mathematics)
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The Synergistic Impacts of Anthropogenic Stressors and COVID-19 on Aquaculture: A Current Global Perspective

2021

13 pages, 6 figures, 2 tables.-- This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License

010504 meteorology & atmospheric sciencesNatural resource economicsSocio-ecological systemsvulnerabilityVulnerabilitySARS (Disease)01 natural sciencesFood security -- Case studiesStakeholder perceptionsCOVID-19 (Disease)Aquaculturefood insecurityStakeholderPerceptionsClimate changeZoologíastakeholders perceptions2. Zero hunger04 agricultural and veterinary sciencesSARS-COV2-pandemicmultiple stressorsFood insecurityclimate change2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)VulnerabilityClimate changesocio-ecological systemManagement Monitoring Policy and LawAquatic Science14. Life underwaterSARS-CoV-2 pandemic ; supply chain ; food insecurity ; climate change ; multiple stressors ; vulnerability ; stakeholder perceptions ; socioecological systemsMultiple stressorssupply chainEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesFood insecuritybusiness.industryPerspective (graphical)Stressorclimate change food insecurity multiple stressors SARS-CoV-2 pandemic socio-ecological systems stakeholder perceptions supply chain vulnerabilitySocioecological systemsVulnerability model of recoveryClimatic changesSupply chain13. Climate action040102 fisheriesBusiness logistics -- Case studies0401 agriculture forestry and fisheriesEnvironmental scienceSARS-CoV-2 pandemicbusiness
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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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Plastic ingestion by pelagic and demersal fish from the North Sea and Baltic Sea

2015

Plastic ingestion by marine biota has been reported for a variety of different taxa. In this study, we investigated 290 gastrointestinal tracts of demersal (cod, dab and flounder) and pelagic fish species (herring and mackerel) from the North and Baltic Sea for the occurrence of plastic ingestion. In 5.5% of all investigated fishes, plastic particles were detected, with 74% of all particles being in the microplastic (<5mm) size range. The polymer types of all found particles were analysed by means of Fourier transform infrared (FT-IR) spectroscopy. Almost 40% of the particles consisted of polyethylene (PE). In 3.4% of the demersal and 10.7% of the pelagic individuals, plastic ingestion was …

010504 meteorology & atmospheric sciencesPolymersMackerelFlounder010501 environmental sciencesAquatic ScienceOceanography01 natural sciencesDemersal zoneEatingDemersal fishHerringSpectroscopy Fourier Transform InfraredMarine debrisAnimalsHumansIngestion14. Life underwater0105 earth and related environmental sciencesbiologyFishesPelagic zonebiology.organism_classificationPollutionFisheryPolyethyleneNorth SeaPlasticsWater Pollutants ChemicalEnvironmental MonitoringMarine Pollution Bulletin
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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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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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Methanotrophy in geothermal soils, an overlooked process: The example of Nisyros island (Greece)

2020

Abstract A multidisciplinary field campaign was carried out at Nisyros Island (Greece). Hydrothermal gases were sampled and analysed, and CH4 and CO2 fluxes from the soils were measured with the accumulation chamber method. The sampling area (Lakki plain) covers an area of about 0.08 km2, and includes the main fumarolic areas of Kaminakia, Stefanos, Ramos, Lofos and Phlegeton. Flux values measured at 130 sites range from −3.4 to 1420 mg m−2 d−1 for CH4 and from 0.1 to 383 g m−2 d−1 for CO2. The fumarolic areas show very different CH4 degassing patterns, Kaminakia showing the highest CH4 output values (about 0.8 t a−1 from an area of about 30,000 m2) and Phlegeton the lowest (about 0.01 t a−…

010504 meteorology & atmospheric sciencesSoil testMethanotrophy Soil degassing Hydrothermal systems Methane output Greenhouse gasesSampling (statistics)GeologySoil scienceMethanotrophy Soil degassing Hydrothermal systems Methane output Greenhouse gases010502 geochemistry & geophysics01 natural sciencesSettore GEO/08 - Geochimica E VulcanologiaFlux (metallurgy)Geochemistry and PetrologyChamber methodSoil waterGeothermal gradientGeologyField campaign0105 earth and related environmental sciencesChemical Geology
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Aerial strategies advance volcanic gas measurements at inaccessible, strongly degassing volcanoes

2020

Aerial measurements using unoccupied aerial systems (UAS) transform our ability to measure and monitor volcanic plumes.

010504 meteorology & atmospheric sciencessub-053705 Geology010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesMantle (geology)Carbon cycleVolcanic GasesFlux (metallurgy)eventResearch Articles0105 earth and related environmental sciencesevent.disaster_typegeographyMultidisciplinarygeography.geographical_feature_categorySciAdv r-articlesSampling (statistics)Sediment37 Earth Sciences3703 GeochemistryPlumeApplied Sciences and EngineeringVolcanoPhysical SciencesManam volcanic gases UASResearch ArticleScience Advances
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