Relevant bibliographies by topics / Eulerian pollution model

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  2. Dissertations / Theses
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Academic literature on the topic 'Eulerian pollution model'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Eulerian pollution model"

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Zlatev, Z., J. Christensen, and �. Hov. "A Eulerian air pollution model for Europe with nonlinear chemistry." Journal of Atmospheric Chemistry 15, no. 1 (July 1992): 1–37. http://dx.doi.org/10.1007/bf00053607.

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Kumar, Sudarshan. "An Eulerian model for scavenging of pollutants by raindrops." Atmospheric Environment (1967) 19, no. 5 (January 1985): 769–78. http://dx.doi.org/10.1016/0004-6981(85)90065-4.

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Dimov, I., R. Georgieva, and Tz Ostromsky. "Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model." Reliability Engineering & System Safety 107 (November 2012): 23–28. http://dx.doi.org/10.1016/j.ress.2011.06.007.

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Christensen, Jesper Heile. "The Danish eulerian hemispheric model — a three-dimensional air pollution model used for the arctic." Atmospheric Environment 31, no. 24 (December 1997): 4169–91. http://dx.doi.org/10.1016/s1352-2310(97)00264-1.

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Atanassov, Dimiter. "Validation of the Eulerian pollution transport model PolTran on the Kincaid data set." International Journal of Environment and Pollution 20, no. 1/2/3/4/5/6 (2003): 105. http://dx.doi.org/10.1504/ijep.2003.004255.

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Higuera, F. J. "Eulerian model of a dilute spray of charged droplets." Journal of Aerosol Science 48 (June 2012): 34–45. http://dx.doi.org/10.1016/j.jaerosci.2012.01.008.

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Ismail, Tamer M., Eliseu Monteiro, Ana Ramos, M. Abd El-Salam, and Abel Rouboa. "An Eulerian model for forest residues gasification in a plasma gasifier." Energy 182 (September 2019): 1069–83. http://dx.doi.org/10.1016/j.energy.2019.06.070.

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Maldaner, Silvana, Michel Stefanello, Luis Gustavo N. Martins, Gervásio Annes Degrazia, Umberto Rizza, Débora Regina Roberti, Franciano S. Puhales, and Otávio C. Acevedo. "A quasi-experimental coastal region eddy diffusivity applied in the APUGRID model." Annales Geophysicae 38, no. 3 (May 4, 2020): 603–10. http://dx.doi.org/10.5194/angeo-38-603-2020.

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Abstract. In this study, Taylor statistical diffusion theory and sonic anemometer measurements collected at 11 levels on a 140 m high tower located in a coastal region in southeastern Brazil have been employed to obtain quasi-empirical convective eddy diffusivity parameterizations in a planetary boundary layer (PBL). The derived algebraic formulations expressing the eddy diffusivities were introduced into an Eulerian dispersion model and validated with Copenhagen tracer experiments. The employed Eulerian model is based on the numerical solution of the diffusion–advection equation by the fractional step/locally one-dimensional (LOD) methods. Moreover, the semi-Lagrangian cubic-spline technique and Crank–Nicolson implicit scheme are considered to solve the advection and diffusive terms. The numerical simulation results indicate that the new approach, based on these quasi-experimental eddy diffusivities, is able to reproduce the Copenhagen concentration data. Therefore, the new turbulent dispersion parameterization can be applied in air pollution models.
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Pouyaei, Arman, Yunsoo Choi, Jia Jung, Bavand Sadeghi, and Chul Han Song. "Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model (C-TRAIL Model v1.0) derived from the Community Multiscale Air Quality Model (CMAQ Model v5.2)." Geoscientific Model Development 13, no. 8 (August 5, 2020): 3489–505. http://dx.doi.org/10.5194/gmd-13-3489-2020.

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Abstract. This paper introduces a novel Lagrangian model (Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model, C-TRAIL version 1.0) output from a Eulerian air quality model for validating the source–receptor direct link by following polluted air masses. To investigate the concentrations and trajectories of air masses simultaneously, we implement the trajectory-grid (TG) Lagrangian advection scheme in the CMAQ (Community Multiscale Air Quality) Eulerian model version 5.2. The TG algorithm follows the concentrations of representative air “packets” of species along trajectories determined by the wind field. The diagnostic output from C-TRAIL accurately identifies the origins of pollutants. For validation, we analyze the results of C-TRAIL during the KORUS-AQ campaign over South Korea. Initially, we implement C-TRAIL in a simulation of CO concentrations with an emphasis on the long- and short-range transport effects. The output from C-TRAIL reveals that local trajectories were responsible for CO concentrations over Seoul during the stagnant period (17–22 May 2016) and during the extreme pollution period (25–28 May 2016), highly polluted air masses from China were distinguished as sources of CO transported to the Seoul Metropolitan Area (SMA). We conclude that during the study period, long-range transport played a crucial role in high CO concentrations over the receptor area. Furthermore, for May 2016, we find that the potential sources of CO over the SMA were the result of either local transport or long-range transport from the Shandong Peninsula and, in some cases, from regions north of the SMA. By identifying the trajectories of CO concentrations, one can use the results from C-TRAIL to directly link strong potential sources of pollutants to a receptor in specific regions during various time frames.
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Tou, S. K. W., and C. Y. Liu. "Lagrangian transport of suspended pollutants in Johor Strait by a finite element eulerian model." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 27, no. 6 (August 1992): 1371–88. http://dx.doi.org/10.1080/10934529209375801.

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Dissertations / Theses on the topic "Eulerian pollution model"

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Pederzoli, Anna. "The application of an Eulerian chemical and transport model (CMAQ) at fine scale resolution to the UK." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/3127.

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Present-day numerical air quality models are considered essential tools for predicting future air pollutant concentrations and depositions, contributing to the development of new effective strategies for the control and the reduction of pollutant emissions. They simulate concentrations and depositions of pollutants on a wide range of scales (global, national, urban scale) and they are used for identifying critical areas, integrating measurements and achieving a deeper scientific understanding of the physical and chemical processes involving air pollutants in the atmosphere. The use of comprehensive air quality models started in the late 1970s and since then their development has increased rapidly, hand in hand with the rapid increase in computational resources. Today more and more complex and computationally expensive numerical models are available to the scientific community. One of these tools is the Community Multi-Scale Air Quality System (CMAQ), developed in the 1990s by the US Environmental Protection Agency (EPA) and currently widely applied across the world for air pollution studies. This work focuses on the application of CMAQ to the United Kingdom, for estimating concentrations and depositions of acidifying pollutants (NOX, NHX, SOX) on a national scale. The work is divided into seven chapters, the first one describing the main issues related to the emission and dispersion in the atmosphere of acidifying species. It also includes a brief overview of the main international policies signed in the last thirty years in order to reduce the problem of acidification in Europe, as well as a brief description of some models mentioned in this thesis. The second one describes the main features of CMAQ and addresses some issues such as the use of a nesting process for achieving temporally and spatially resolved boundary concentrations, and the implementation of the model on parallel machines, essential for reducing the simulation computing time. It also describes how this study is part of a wider context, which includes the application of CMAQ in the United Kingdom by other users with different scientific purposes (aerosols processes, air quality in the urban area of London, contribution of UK power stations to concentrations and depositions etc.). The third part of the thesis focuses on the application and evaluation over the United Kingdom of the 5th Generation Mesoscale Model MM5, used for providing 3D meteorological input fields to CMAQ. This study was performed assuming that an accurate representation of depositions and concentrations of chemical species cannot be achieved without a good estimate of the meteorological parameters involved in most of the atmospheric processes (transport, photochemistry, aerosol processes, cloud processes etc.). The fourth part of the thesis describes the preliminary implementation of the Sparse Matrix Operational Kernel Emission System (SMOKE) in the United Kingdom. The processor provides input emissions to CMAQ. The use of SMOKE is usually avoided in CMAQ applications of outside America, and CMAQ input emission files are prepared by the application of other software. The reason is that the model requires radical changes for being applied outside Northern and Central America. Some of these changes have been made in this study such as the adaptation of the European emission inventory EMEP and the UK National Inventory NAEI to the modelling system for point and area sources, the introduction of new European emission temporal profiles in substitution of the American ones and the introduction of new geographical references for the spatial allocation of emissions. In the fifth chapter the results of CMAQ application over the UK are discussed. The study focuses on NOX, SO2, NH3 and + 4 NH . Maps of concentration are presented and modelled data are compared to measurements from two different air quality networks in the UK. An analysis of the performance of CMAQ over the UK is also performed. In the final chapter an annual inter-comparison between CMAQ and the Lagrangian transport model FRAME is carried out. Maps of annual wet deposition fluxes of NHX, NOY and SOX for year 1999 are presented. The results of both models are compared to one another and they are also compared to values from the UK official data set CBED. Finally, the last chapter suggests the work that has to be done in the future with CMAQ and it summarizes the conclusions.
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Goeury, Cédric. "Modélisation du transport des nappes d'hydrocarbures en zone continentale et estuarienne." Thesis, Paris Est, 2012. http://www.theses.fr/2012PEST1131/document.

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L'application de la Directive Cadre sur l'Eau et l'obligation de surveillance de la qualité d'eau pour la consommation humaine et les activités récréatives ou industrielles, telles que la production d'eau potable, entraînent une forte demande pour des systèmes d'évaluation et de suivi de la qualité de l'eau. Le projet de recherche MIGR'HYCAR (http://www.migrhycar.com) a donc été mis en place pour répondre à un besoin opérationnel et à un défaut d'outils d'aide à la décision adaptés face aux déversements d'hydrocarbures en eaux continentales (rivières, lacs et estuaires) qui représente plus de 50% des déversements accidentels en France. Au cours du projet de recherche MIGR'HYCAR, un modèle mathématique de dérive de nappe d'hydrocarbures, composé d'un modèle lagrangien couplé à un modèle eulérien, a été développé dans la plate-forme hydro-informatique TELEMAC (http://www.opentelemac.org). Le modèle lagrangien décrit le mouvement de la nappe en surface en considérant celle-ci comme un ensemble de particules. Ainsi le modèle développé est capable de modéliser les principaux phénomènes agissant sur une nappe d'hydrocarbures une fois celle-ci déversée : convection, diffusion, échouage, re-largage, étalement, évaporation, dissolution et volatilisation. Bien que le phénomène de dissolution ne concerne qu'un très faible volume d'hydrocarbures, ce processus peut avoir des conséquences importantes du point de vue de la toxicité. Afin de suivre l'évolution du pétrole dissous, un modèle eulérien de suivi de traceurs a été adopté. La quantité de traceur dépend directement de la masse dissoute des particules lagrangiennes. Cette approche permet le suivi des hydrocarbures dissous dans la colonne d'eau. Des cinétiques effectuées en laboratoire ont pour but la calibration du modèle numérique. En complément de cas tests issus de la littérature et de cas réels, des résultats expérimentaux issus d'expérimentations effectuées en canal d'essai doivent permettre de vérifier et valider la qualité des simulations numériques sur des situations où les conditions ne sont que partiellement contrôlées
The application of the European Water Framework Directive on water quality for human consumption and industrial activities creates a need for water quality assessment and monitoring systems. The MIGR'HYCAR research project (http://www.migrhycar.com) was initiated to provide decisional tools for risks connected to oil spills in continental waters (rivers, lakes and estuaries), which represent more than 50% of accidental spills in France. Within the framework of this project, a new numerical oil spill model has been developed, as part of the Telemac hydro-informatics system (see: (http://www.opentelemac.org), by combining Lagrangian and Eulerian methods. The Lagrangian model describes the transport of an oil spill near the free surface. The oil spill model enables to simulate the main processes driving oil plumes: advection, diffusion, oil beaching, oil re-floating, evaporation, dissolution, spreading and volatilization. Though generally considered as a minor process, dissolution is important from the point of view of toxicity. To model dissolved oil in water, an Eulerian advection-diffusion model is used. The fraction of dissolved oil is represented by a passive tracer. This approach is able to follow dissolved hydrocarbons in the water column. Laboratory experiments were conducted to characterise the numerous kinetics of the processes listed above. In addition, meso-scale dynamic experiments in artificial channels and test cases derived from the literature are used to validate the numerical model
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Kordova-Vyhnalikova, Jana. "Mathematical modelling of atmospheric pollution : application of some eulerian-lagrangian trajectographic models to the prediction of atmospheric pollution." Université Louis Pasteur (Strasbourg) (1971-2008), 1997. http://www.theses.fr/1997STR13207.

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Ce memoire concerne la dispersion turbulente de particules lourdes au sein d'une couche limite turbulente. Pour ce faire, un modele eulerien d'ecoulement porteur a ete couple a une approche lagrangienne de trajectographie. La premiere etape dans l'etude du comportement dispersif de particules est de disposer d'une description suffisamment precise de l'ecoulement porteur. Le modele eulerien piapblm est concu pour simuler les ecoulements turbulents de type couche limite atmospherique. Ce modele a ete modifie pour decrire l'ecoulement de la couche limite classique. Il a ete complete par des relations algebriques deduites d'une fermeture au second ordre pour prendre en compte l'anisotropie du fluide porteur et pour decrire l'ecoulement de la sous-couche visqueuse et de la zone de tampon. La deuxieme etape de cette etude concerne le modele de trajectographie utilisant une approche statistique pour la prediction des caracteristiques de la phase dispersee. Les modifications apportees au modele concerne la simulation de la particule fluide en resolvant l'equation de langevin, la force de portance due au cisaillement, l'influence de la proximite de la paroi et les collisions particule-paroi. Le modele eulerien-lagrangien a ete valide en comparant ses resultats a ceux d'une experience recente realisee dans une soufflerie de type eiffel. Les profils simules de la vitesse moyenne du fluide sont en accord avec les profils experimentaux. On a observe l'influence de la facon de simuler la particule fluide (liee avec le probleme de la turbulence vue par la particule lourde) sur les profils de vitesse moyenne et des ecarts-types de la vitesse fluctuantes des particules lourdes. La comparaison avec une experience realisee en soufflerie est concluante. Avant son application a l'outil meteorologique, une etude atmospherique a ete effectuee en supposant la couche limite atmospherique dans les conditions de stratification stable.
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Ojumu, Adefolake Mayokun. "Transport of nitrogen oxides and nitric acid pollutants over South Africa and air pollution in Cape Town." Diss., 2013. http://hdl.handle.net/10500/11911.

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The deteriorating air quality in Cape Town (CT) is a threat to the social and economic development of the city. Although previous studies have shown that most of the pollutants are emitted in the city, it is not clear how the transport of pollutants from neighbouring cities may contribute to the pollution. This thesis studies the transport of atmospheric nitrogen oxides (NOx) and nitric acid (HNO3) pollutants over South Africa and examines the role of pollutant transport from the Mpumalanga Highveld on pollution in CT. The study analysed observation data (2001 - 2008) from the CT air quality network and from regional climate model simulation (2001 - 2004) over South Africa. The model simulations account for the influences of complex topography, atmospheric conditions, and atmospheric chemistry on transport of the pollutants over South Africa. Flux budget analysis was used to examine whether the city is a net source or sink for NOx and HNO3. The results show that north-easterly flow transports pollutants (NOx and HNO3) at low level (i.e., surface to 850 hPa) from the Mpumalanga Highveld towards CT. In April, a tongue of high concentration of HNO3 extends from the Mpumalanga Highveld to CT, along the southern coast. The flux budget analysis shows that CT can be a net sink for NOx and HNO3 during extreme pollution events. The study infers that, apart from the local emission of the pollutants in CT, the accumulation of pollutants transported from other areas may contribute to pollution in the city.
Environmental Sciences
M. Sc. (Environmental Science)
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Books on the topic "Eulerian pollution model"

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I, Heberton C., and Geological Survey (U.S.), eds. A three-dimensional finite-volume Eulerian-Lagrangian Localized Adjoint Method (ELLAM) for solute-transport modeling. Reston, Va: U.S. Department of the Interior, U.S. Geological Survey, 2000.

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I, Heberton C., and Geological Survey (U.S.), eds. A three-dimensional finite-volume Eulerian-Lagrangian Localized Adjoint Method (ELLAM) for solute-transport modeling. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Book chapters on the topic "Eulerian pollution model"

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Christensen, Jesper. "The Danish Eulerian Hemispheric Model." In Air Pollution Modeling and Its Application XI, 249–56. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-5841-5_27.

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Zlatev, Zahari. "Numerical Experiments with the Danish Eulerian Model." In Computer Treatment of Large Air Pollution Models, 265–305. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0311-4_10.

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Persson, C., and L. Robertson. "An Operational Eulerian Dispersion Model Applied to Different Scales." In Air Pollution Modeling and Its Application VIII, 649–50. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3720-5_72.

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Sahin, Cihan, Ashish Thandavan, and Vassil N. Alexandrov. "Grid Enablement of the Danish Eulerian Air Pollution Model." In High Performance Computing and Communications, 745–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11557654_85.

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Christensen, Jesper H., Øystein Hov, and Ruwim Berkowicz. "Modelling Photochemical Pollution by an Eulerian Long-Range Transport Model." In Air Pollution Modeling and Its Application VIII, 145–59. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3720-5_11.

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Skjøth, Carsten Ambelas, Annemarie Bastrup-Birk, Jørgen Brandt, and Zahari Zlatev. "Studying Ozone Episodes In Europe With The Danish Eulerian Model." In Air Pollution Modeling and Its Application XIII, 331–38. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4153-0_33.

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Zlatev, Zahari. "Comprehensive Air Pollution Studies with the Unified Danish Eulerian Model." In Parallel Processing and Applied Mathematics, 1125–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24669-5_145.

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Elbern, H., H. Schmidt, and A. Ebel. "Parallel 4D-Variational Data Assimilation for an Eulerian Chemistry Transport Model." In Large Scale Computations in Air Pollution Modelling, 151–60. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4570-1_12.

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Dimou, K. N., and E. E. Adams. "Representation of Sources in a 3-D Eulerian-Lagrangian Mass Transport Model." In Water Pollution: Modelling, Measuring and Prediction, 251–64. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3694-5_18.

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Piedelièvre, J. P., L. Musson-Genon, and F. Bompay. "Media: An Eulerian Model of Atmospheric Dispersion Validation on the Chernobyl Release." In Air Pollution Modeling and Its Application VIII, 597–99. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3720-5_55.

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Conference papers on the topic "Eulerian pollution model"

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Dimov, I., R. Georgieva, V. Todorov, and Tz Ostromsky. "Efficient stochastic approaches for sensitivity studies of an Eulerian large-scale air pollution model." In APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’17. Author(s), 2017. http://dx.doi.org/10.1063/1.5007376.

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Zhuang, Xinwei, and Xiuling Wang. "Environment Analysis Near a Highway Using Computational Fluid Dynamics." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38717.

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Air pollution has been proven as a significant risk factor for multiple health conditions. A major portion of urban air pollution is attributed to vehicle emissions. In this study, a high school which is close to an interstate highway is numerical simulated to estimate the impact of traffic emissions on air quality. Two probability density functions, Weibull distribution and Rayleigh distribution, were used in wind data statistical analysis. A numerical method was used to estimate the wind speed at study site based on the wind data in meteorology stations. Both indoor and outdoor environment were simulated using computational fluid dynamics (CFD). The airflow and the dispersion of particulate air pollutants emitted from the highways surrounding the high school building were analyzed. The wind flow was simulated using Reynolds-Averaged Navier Stokes (RANS) model. The particulate matters are tracked using Lagrangian model. For the indoor simulation, the standard k-ε model is employed to model the air-phase turbulence. Discrete phase model (DPM) and Eulerian multiphase model were utilized for the particle phase, respectively. The comparison shows that the Lagrangian approach has better agreement since the dispersed-phase volume fractions are less than 10%.
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