Search results for "Water science"

showing 10 items of 1545 documents

Co-digestion of manure and biowaste according to the EC Animal By-Products Regulation and Finnish national regulations

2006

The objective of this study was to compare methane production and characteristics of digested material in anaerobic digestion concepts according to the Animal By-Products Regulation (ABP-Regulation) of the EC (hygienisation of biowaste for 1 hour at 70 °C, particle size <12 mm) and Finnish national regulations (treatment temperature 55 °C, feeding interval 24 h, hydraulic retention time (HRT) 20 d, particle size <40 mm) and with small variations in treatment methods for treating manure and biowaste. Moreover, the survival of three different salmonella bacteria in these processes was studied. Hygienisation of biowaste prior to digestion at 35 °C enhanced methane production by 1…

Environmental EngineeringHydraulic retention timeWaste managementChemistrySalmonella bacteriaTemperatureTreatment methodFederal GovernmentManureManureAnaerobic digestionDigestion (alchemy)SalmonellaFood scienceMedical Waste DisposalCo digestionMethane productionMethaneFinlandWater Science and TechnologyWater Science and Technology
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Fuzzy environmental analogy index to develop environmental similarity maps for designing air quality monitoring networks on a large-scale

2019

All activities aimed at studying the primary causes and effects of air pollution cannot disregard the fact that it is necessary to have an optimal air quality monitoring network for assessing population exposure to air pollution and predicting the magnitude of the health risks. In the framework of a cooperation between the ARPA Sicilia Organization and the Department of Engineering, University of Palermo, research was performed to develop an innovative methodology useful for defining environmental similarity maps aimed at supporting the design of air quality monitoring networks at the regional scale. This approach is based on a new index called the fuzzy environmental analogy index (FEAI) b…

Environmental EngineeringIndex (economics)010504 meteorology & atmospheric sciencesComputer scienceAnthropogenic or natural impact0208 environmental biotechnologyAir pollutionAnalogyComputational intelligence02 engineering and technologymedicine.disease_cause01 natural sciencesFuzzy logicEnvironmental similarity mapSimilarity (psychology)medicineEnvironmental ChemistrySafety Risk Reliability and QualityAir quality indexSettore ING-IND/19 - Impianti Nucleari0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyAir quality monitoring networkbusiness.industryScale (chemistry)Environmental resource managementEnvironmental pressure020801 environmental engineeringFuzzy environmental analogy indexbusinessStochastic Environmental Research and Risk Assessment
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Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity

2016

Earthquakes are one of the most destructive natural disasters and the spatial distribution of their epi- centres generally shows diverse interaction structures at different spatial scales. In this paper, we use a multi-scale point pattern model to describe the main seismicity in the Hellenic area over the last 10 years. We analyze the interaction between events and the relationship with geo- logical information of the study area, using hybrid models as proposed by Baddeley et al. ( 2013 ). In our analysis, we find two competing suitable hybrid models, one with a full parametric structure and the other one based on nonpara- metric kernel estimators for the spatial inhomogeneity.

Environmental EngineeringInduced seismicity010502 geochemistry & geophysicsSpatial distribution01 natural sciencespoint process residualhellenic earthquakes010104 statistics & probabilityhybrids of gibbs point processesspatial covariatesEconometricsEnvironmental ChemistryPoint (geometry)spatial point processes0101 mathematicsSafety Risk Reliability and Quality0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsspatial covariatepoint process residualsNonparametric statisticsEstimatorspatial point processes.Kernel (statistics)hybrids of Gibbs point processeCommon spatial patternHellenic earthquakeSeismologyGeology
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Electrochemical oxidation of organics in water: Role of operative parameters in the absence and in the presence of NaCl

2008

The electrochemical oxidation of organics in water was investigated theoretically and experimentally to determine the role of several operative parameters on the performances of the process in the presence and in the absence of sodium chloride. Theoretical considerations were used to design the experimental investigation and were confirmed by the results of the electrochemical oxidation of oxalic acid (OA) at boron doped diamond (BDD) or IrO(2)-Ta(2)O(5) (DSA-O(2)) anodes in a continuous batch recirculation reaction system equipped with a parallel plate undivided electrochemical cell. Polarization curves and chronoamperometric measurements indicated that, in the presence of chlorides, the a…

Environmental EngineeringInorganic chemistryOxalic acidIncinerationSodium ChlorideElectrochemistryChemical reactionChlorideElectrolysisElectrochemical celllaw.inventionchemistry.chemical_compoundlawElectrochemical incinerationeSodium chlorideOxalic acidBDDDSAOxidation of organicsmedicineOrganic ChemicalsPolarization (electrochemistry)Waste Management and DisposalWater Science and TechnologyCivil and Structural EngineeringBoronElectrolysisEcological ModelingOxalic AcidElectric ConductivityWaterElectrochemical TechniquesHydrogen-Ion ConcentrationSettore ING-IND/27 - Chimica Industriale E TecnologicaPollutionAnodeSolutionschemistryChlorineDiamondRheologyOxidation-Reductionmedicine.drug
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Parameterization of a comprehensive explicit model for single-ring infiltration

2021

International audience; Comprehensive infiltration models can simultaneously describe transient and steady-state infiltration behaviors, and therefore can be applied to a range of experimental conditions. However, satisfactory model accuracy re- quires proper parameterization, including estimating the transition time from transient to steady-state flow conditions (τcrit). This study focused on improving the estimation of two parameters – τcrit and a second constant called a – used in a comprehensive, explicit, two-term model for single ring infiltration (hereafter referred to as the SA model). Different studies have recommended that a should be as low as 0.45 to as high as 0.91. Furthermore…

Environmental EngineeringIterative method0207 environmental engineeringExperimental data04 agricultural and veterinary sciences02 engineering and technologyInfiltration model parameterization Single ring infiltrometer Transition timeInfiltration (HVAC)infiltration model parameterizationTerm (time)Flow conditions040103 agronomy & agricultureRange (statistics)0401 agriculture forestry and fisheriesApplied mathematicsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSingle ring infiltrometertransition timeTransient (oscillation)[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology020701 environmental engineeringConstant (mathematics)Water Science and TechnologyMathematics
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Assessment of clogging in constructed wetlands by saturated hydraulic conductivity measurements

2019

Abstract This study aims at defining a methodology to evaluate Ks reductions of gravel material constituting constructed wetland (CW) bed matrices. Several schemes and equations for the Lefranc's test were compared by using different gravel sizes and at multiple spatial scales. The falling-head test method was implemented by using two steel permeameters: one impervious (IMP) and one pervious (P) on one side. At laboratory scale, mean K values for a small size gravel (8–15 × 10−2 m) measured by the IMP and the P permeameters were equal to 19,466 m/d and 30,662 m/d, respectively. Mean Ks values for a big size gravel (10–25 × 10−2 m) measured by the IMP and the P permeameters were equal to 12,…

Environmental EngineeringKs measurements0208 environmental biotechnologyFull scaleSoil scienceWetland02 engineering and technology010501 environmental sciencesHorizontal flow; Ks measurements; permeameter cellWaste Disposal Fluid01 natural sciencespermeameter cellCloggingHydraulic conductivityCalibrationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesWater Science and Technologygeographygeography.geographical_feature_categoryKs measurementWaste DisposalElectric ConductivityHorizontal flowHorizontal flow; Ks measurements; Permeameter cell; Electric Conductivity; Hydrology; Waste Disposal Fluid; WetlandsTest method020801 environmental engineeringWetlandsConstructed wetlandEnvironmental scienceStandpipe (firefighting)FluidHydrology
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Use of Lichen and Moss in Assessment of Forest Contamination with Heavy Metals in Praded and Glacensis Euroregions (Poland and Czech Republic)

2011

The concentrations of selected metals-Cr, Ni, Cu, Zn, Cd, and Pb-were determined in the samples of Hypogymnia physodes lichen and Pleurozium schreberi moss collected in Polish and Czech Euroregions Praded and Glacensis. More specifically, the samples were collected in Bory Stobrawskie, Bory Niemodlińskie, and Kotlina Kłodzka (Poland) and in Jeseniki (Czech Republic). The concentration of metals in the samples was measured using the atomic absorption spectrometry (flame AAS technique and electrothermal atomization AAS technique). The results were used to calculate the comparison factor (CF) that quantifies the difference in concentration of a given bioavailable analyte × accumulated in liche…

Environmental EngineeringLichenArticlelaw.inventionComparison factorlawBotanyBiomonitoringEnvironmental ChemistryLichenMossWater Science and TechnologybiologyEcological ModelingHeavy metalsContaminationbiology.organism_classificationMossPollutionEcological ModellingDeposition (aerosol physics)Heavy metalsBiomonitoringEnvironmental scienceAtomic absorption spectroscopyPleurozium schreberiWater, Air, and Soil Pollution
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Modeling light and temperature influence on ammonium removal by Scenedesmus sp. under outdoor conditions.

2016

[EN] The ammonium removal rate of the microalga Scenedesmus sp. was studied under outdoor conditions. Microalgae were grown in a 500 L flat-plate photobioreactor and fed with the effluent of a submerged anaerobic membrane bioreactor. Temperature ranged between 9.5 WC and 32.5 WC and maximum light intensity was 1,860 μmol·m2·s1. A maximum specific ammonium removal rate of 3.71 mg NH4 þ-N·g TSS1·h1 was measured (at 22.6 WC and with a light intensity of 1,734 μmol·m2·s1). A mathematical model considering the influence of ammonium concentration, light and temperature was validated. The model successfully reproduced the observed values of ammonium removal rate obtained and it is thus p…

Environmental EngineeringLight020209 energyPhotobioreactorAnaerobic membrane bioreactor02 engineering and technology010501 environmental sciencesWastewaterAmmonium removal01 natural sciencesWaste Disposal Fluidchemistry.chemical_compoundPhotobioreactorsAmmonium Compounds0202 electrical engineering electronic engineering information engineeringMicroalgaeAmmoniumEffluentScenedesmusTECNOLOGIA DEL MEDIO AMBIENTE0105 earth and related environmental sciencesWater Science and TechnologyChromatographybiologyChemistryModelingTemperatureModels Theoreticalbiology.organism_classificationLight intensityWastewaterScenedesmusWater science and technology : a journal of the International Association on Water Pollution Research
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Technogenic Magnetic Particles in Alkaline Dusts from Power and Cement Plants

2012

During this study, we investigated the mineralogical characterization of technogenic magnetic particles (TMPs) contained in alkaline industrial dust and fly ash emitted by coal burning power plants and cement plants. The reaction of tested dust samples varied between values of pH 8 and pH 12. Their magnetic properties were characterized by measurement of magnetic susceptibility (χ), frequency dependence of magnetic susceptibility (χ(fd)), and temperature dependence of magnetic susceptibility. Mineralogical and geochemical analyses included scanning electron microscopy with energy dispersive spectroscopy, microprobe analysis and X-ray diffraction. The TMPs in fly ash from hard coal combustio…

Environmental EngineeringMaghemiteengineering.materialcomplex mixturesArticleMagnetic susceptibilityMagnesioferritechemistry.chemical_compoundEnvironmental ChemistryWater Science and TechnologyMagnetiteCementEcological ModelingMetallurgyTechnogenic magnetic particlesHematiteequipment and suppliesPollutionMagnetic susceptibilityEcological Modellingchemistryvisual_artFly ashengineeringvisual_art.visual_art_mediumAlkaline dustsMagnetic nanoparticlesIron mineralogyhuman activitiesWater, Air, & Soil Pollution
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Geostatistical Microscale Study of Magnetic Susceptibility in Soil Profile and Magnetic Indicators of Potential Soil Pollution

2015

Directional variograms, along the soil profile, can be useful and precise tool that can be used to increase the precision of the assessment of soil pollution. The detail analysis of spatial variability in the soil profile can be also an important part of the standardization of soil magnetometry as a screening method for an assessment of soil pollution related to the dust deposition. The goal of this study was to investigate the correlation between basic parameters of spatial correlations of magnetic susceptibility in the soil profile, such as a range of correlation and a sill, and selected magnetometric indicators of soil pollution. Magnetic indicators were an area under the curve of magnet…

Environmental EngineeringMagnetometerSoil pollutionSoil scienceDispersion (geology)complex mixturesArticlelaw.inventionlawEnvironmental ChemistryVariogramWater Science and TechnologyHydrogeologyField magnetometrySoil magnetic susceptibilityEcological Modelingequipment and suppliesPollutionMagnetic susceptibilitySoil contaminationEcological ModellingEnvironmental scienceSoil horizonSpatial variabilityMagnetic indicatorsSpatial correlationhuman activitiesWater, Air, & Soil Pollution
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