Дисертації з теми "Carbon particulate emission"
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Jilla, Abhinay Mr. "Particulate Matter and Carbon Monoxide Emission Factors from Incense Burning." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2380.
Повний текст джерелаMatsui, Kenta, Fumihiro Fujikake, and Kazuhiro Yamamoto. "Non-catalytic after-treatment for diesel particulates using carbon-fiber filter and experimental validation." Elsevier, 2013. http://hdl.handle.net/2237/20042.
Повний текст джерелаJiang, Mei. "Mobile Laboratory Measurement of Black Carbon, Particulate Polycyclic Aromatic Hydrocarbons and Other Exhaust Emissions in Mexico City." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/41133.
Повний текст джерелаMaster of Science
Klapmeyer, Michael Evan. "Characterization of Urban Air Pollutant Emissions by Eddy Covariance using a Mobile Flux Laboratory." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/37675.
Повний текст джерелаPh. D.
Hemmings, Stephen. "Supporting the regeneration process of a diesel particulate filter with the addition of hydrogen and hydrogen/carbon monoxide mixtures : diesel engine aftertreatment system." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7073.
Повний текст джерелаWhelan, Paul. "Raman microscopy studies of carbon particles from diesel particulate matter (DPM) and coal dust." Thesis, Sheffield Hallam University, 2001. http://shura.shu.ac.uk/17384/.
Повний текст джерелаKuppili, Sudheer Kumar. "Biodiesel Properties and Characterization of Particulate Matter Emissions from TARTA Buses Fueled by B20 Biodiesel." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1471631394.
Повний текст джерелаGalvis, Remolina Boris. "Characterizing the emissions of fine particulate matter in the vicinity of a rail yard." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52927.
Повний текст джерелаChen, Cheng. "Retrieving global sources of aerosol emissions from satellite observations." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1R001/document.
Повний текст джерелаUnderstanding of the role that atmospheric aerosol play in the Earth-atmosphere system is limited by uncertainties in aerosol distribution, composition and sources. Thus, accurate chemical transport model simulation systems are crucial needed to analyse and predict atmospheric aerosols and their impacts on climate change and environment. Satellite observations have ability to provide an extensive spatial coverage and accurate aerosol products, however, are constrained by clear-sky condition, global coverage orbit cycle and information content. One of the most promising approaches is to reduce model uncertainty by improving the aerosol emission fields (i.e., model input) by means of inverse modeling relying on satellite observations as a constrain. In this study, we designed a method of simultaneous retrievals of desert dust, black carbon and organic carbon aerosol emission sources using aerosol data obtained from GRASP algorithm applied to POLDER/PARASOL satellite observations, and relying on the GEOS-Chem inverse modeling framework. Then, a satellite-based global aerosol emission database (2006-2011) has been developed. This aerosol emission database has been further evaluated by utilization in GEOS-Chem and GEOS-5/GOCART models. The model posterior simulation of aerosol properties employing the retrieved emissions shows a better agreement than the model prior simulation; it is true for not only fitted PARASOL products, but also for completely independent measurements from ground-based AERONET and satellites aerosol products (e.g., MODIS, MISR, OMI). The results suggest that the satellite-based aerosol emission database improves overall global aerosol modeling
Ordou, Niloofar. "Investigation of Physiochemical Properties of Size-resolved Biomass Burning/Local Wildfire Aerosols." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/410471.
Повний текст джерелаThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
Full Text
Vojtěchová, Ivana. "Vliv intenzity dopravy a meteorologických podmínek na znečištění ovzduší." Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2009. http://www.nusl.cz/ntk/nusl-216535.
Повний текст джерелаSantos, Luís Henrique Mendes dos. "O impacto das fontes de poluição na distribuição de tamanho em número e massa do material particulado atmosférico em São Paulo." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-27092018-224325/.
Повний текст джерелаSeveral studies aimed to determine and characterize the atmospheric aerosol in the city of São Paulo, not only to its size and chemical composition, but as well as to find its emitting sources and mass contributions in the studied area. The atmospheric constituents were collected at the Laboratório de Análise dos Processos Atmosféricos (LAPAt) of the Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG) of the University of São Paulo (USP), located in the western zone of the city of São Paulo Paulo, geographically at 23°33\'34\"S and 46°44\'00\" W. The experiment was conducted from August 15 to September 16 of 2016. Samples of particulate matter were collected to analyze the mass concentration and chemical composition of its inhalable fine fraction. The particulate mass size distribution was determined through the collection with a cascade impactor. The number size distribution was obtained from measurements with a Scanning Mobility Particle Sampler (SMPS) with the calculated number of particle concentration (PNC) for the range of 9 to 450 nm of the diameter. In order to study the relationships among the compounds present in the region and the PNC, we used the hourly values of the gaseous concentrations (O3, NO, NO2 and NOx) and UV measured in CETESB\'s Air Quality Telemetric Network in the State of São Paulo. The sampled filters were analyzed by the energy dispersive X-ray Fluorescence (EDX) technique to determine the elemental composition. The concentrations of Black Carbon (BC) were obtained by reflectance analysis. In order to determine the sources of fine particulate matter (PM2.5), the following Receptors Models were used: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF). For air pollution dispersion analysis, we used meteorological data from the IAG climatological station located in the Southeast of the city. The mean MP2.5 concentration was 18.6 (± 12.5) g/m³ and the mean concentration of BC was 1.9 (± 1.5) g/m³ for the sampling period. The main sources found by both ACP and PMF models were heavy-duty vehicles (diesel), light-duty vehicles, biomass burning, resuspension of soil dust, pavements and construction, secondary processes and mixed sources. The trace elements were defined at different size distributions: Al, Ca, Si and Ti with peaks in accumulation fraction (related to pavement resuspension tracers); Fe, Mn, P, K and Cr with peaks in the largest fraction of accumulation mode, characteristic of vehicular emissions tracer and biomass burning. Cu, Zn, Br, Pb, S and BC presented peaks in the finer fraction of the accumulation mode, related to vehicle emissions tracer and biomass burning.
Pattinson, Woodrow Jules. "An investigation into local air quality throughout two residential communities bisected by major highways in South Auckland, New Zealand." Thesis, University of Canterbury. Environmental Science, 2014. http://hdl.handle.net/10092/10002.
Повний текст джерелаSeltz, Andréa. "Application of deep learning to turbulent combustion modeling of real jet fuel for the numerical prediction of particulate emissions Direct mapping from LES resolved scales to filtered-flame generated manifolds using convolutional neural networks Solving the population balance equation for non-inertial particles dynamics using probability density function and neural networks: application to a sooting flame." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMIR08.
Повний текст джерелаWith the climate change emergency, pollutant and fuel consumption reductions are now a priority for aircraft industries. In combustion chambers, the chemistry and soot modeling are critical to correctly quantify engines soot particles and greenhouse gases emissions. This thesis aimed at improving aircraft numerical pollutant tools, in terms of computational cost and prediction level, for engines high fidelity simulations. It was achieved by enhancing chemistry reduction tools, allowing to predict CO emissions of an aircraft engines at affordable cost for the industry. Next, a novel closure model for unresolved terms in the LES filtered transport equations is developed, based on neural networks (NN), to propose a better flame modeling. Then, an original soot model for engine high fidelity simulations is presented, also based on NN. This new model is applied to a one-dimensional premixed sooted flame, and finally to an industrial combustion chamber LES with measured soot comparison
Clairac, Bernard. "L'aerosol en foret tropicale humide d'afrique : application a l'etude des echanges entre la foret et son environnement." Toulouse 3, 1986. http://www.theses.fr/1986TOU30144.
Повний текст джерелаLin, Sang-Yu, and 林桑羽. "Emission Characteristics of Particulate Matters and Carbon Gases from Species of Biomass in Common Open Burning." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/19435348514844251650.
Повний текст джерела國立雲林科技大學
環境與安全衛生工程系碩士班
100
Various biomass open burnings included clearing agricultural wastes and burning joss papers commonly appeared in Taiwan. A controlled burning chamber was utilized to examine burning aerosol derived from corn stoves, miscanthus, bamboo, and two kinds of joss paper (waste paper, bamboo material). Characteristics of particle sizes, gaseous pollutants (CO, CO2), water-soluble ions, and anhydrosugars constituents have been investigated. The results have shown that differences of CO2 emission from various biomass species were limited; and the emission of CO from corn stover presented a highest value in species. The particle-size emission from all species of burning mainly distributed in PM2.5 particle, meantime, the emission concentration in fine particle obviously was influenced by the combustion efficiency of biomass burning. Levoglucosan is a major constituent of three anhydrosugars (above 90%) in the study. The ratios of Levo/Manno in three particle sizes displayed no significantly difference, but the variation of ratios was apparently in among of biomass species. Furthermore, joss paper showed a high value of Levo/PM2.5 (31.4%) rather than common plant burnings did. The emissions of major ions from plant burnings (such as corn stover, miscanthus, and bamboo) were K+, Cl -, and SO42-. The distribution of ions was highly related with the composition of materials and the process of manufacturing. The results shown a high amount of emissions (PM2.5, CO2 and CO) derived from corn stover, and which is preciously concerned. PM of Joss paper made by bamboo emitted a less emissions comparing to that of paper made by waste paper. This investigation regarding characteristics of various biomass emissions is helpful to reveal some useful information to atmospheric researches.