Literatura académica sobre el tema "Dispersion atmosphérique à micro-échelle"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Índice
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Dispersion atmosphérique à micro-échelle".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Dispersion atmosphérique à micro-échelle"
Hammoudi, Mhamed, Maiouf Belhamel y El-Khider Si-Ahmed. "Caractérisation locale des mélanges de fluides à l’aide d’une Méthode non intrusive (la vélocimétrie ultrasonore pulsée)". Journal of Renewable Energies 11, n.º 4 (31 de diciembre de 2008). http://dx.doi.org/10.54966/jreen.v11i4.105.
Texto completoTesis sobre el tema "Dispersion atmosphérique à micro-échelle"
Lumet, Eliott. "Évaluation et réduction des incertitudes pour la simulation numérique de la dispersion atmosphérique à micro-échelle". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES003.
Texto completoAir quality is severely degraded during events such as industrial accidents. Harmful gases and particles are released into the atmosphere and carried by the wind. In built environments, these pollutants can lead to local pollution peaks due to buildings blocking the flow, resulting in short-term health and environmental risks. Locating these peaks requires the use of models solving the fundamental equations of fluid dynamics and their interactions with the built environment. Despite their complexity, these models are subject to uncertainties that are partly linked to atmospheric conditions. The aim of this thesis is to build and validate a modeling system able of estimating these uncertainties and identifying possible dispersion scenarios. This is achieved by using tools derived from statistical learning and by informing the model with in-situ observations
Wagner, Sébastien. "Modélisation numérique de la dispersion à méso-échelle de polluants atmosphériques par emboîtement interactif de maillages : application à la zone ESCOMPTE". Toulon, 2003. http://www.theses.fr/2003TOUL0004.
Texto completoThis work aims to be a contribution to the numerical techniques used in air quality modelling. Our new multiscale model "MAPOM" (Multiscale Air Pollution Model) simulates mesoscale atmospheric pollutant dispersion. To increase the model accuracy, a new mesh embedding method, allowing grid interactions at the interface, has been implemented and tested. Mass conservation, positivity, and monotonicity are ensured. MAPOM was validated on theoretical test cases. It was then applied over the area of Marseille - Etang de Berre (ESCOMPTE domain). The model and its interactive mesh embedding algorithm were proved to be efficient in handling difficult problems of air quality at mesoscale over complex terrain. The optimization of the memory, and the modular structure of this new model enable a flexible, fast and automatic management of the nested grids, and of the physical and chemical processes
Milliez, Maya. "Modélisation micro-météorologique en milieu urbain : dispersion des polluants et prise en compte des effets radiatifs". Marne-la-vallée, ENPC, 2006. http://www.theses.fr/2006ENPC0629.
Texto completoLOUBET, Benjamin. "Modélisation du dépôt sec d'ammoniac atmosphérique à proximité des sources". Phd thesis, Université Paul Sabatier - Toulouse III, 2000. http://tel.archives-ouvertes.fr/tel-00003250.
Texto completoNguyen, Chi Vuong. "Assimilation de données et couplage d'échelles pour la simulation de la dispersion atmosphérique en milieu urbain". Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEC018/document.
Texto completoAir quality monitoring is currently carried out with concentration measurements and with atmospheric dispersion modeling tools. These numerical models evaluate pollutant concentrations with a finer spatio-temporal resolution than measurements. Nevertheless, the estimates provided by these models are less accurate than measurements. In this research project, we studied multiscale coupling and data assimilation approaches to improve the estimates provided by the SIRANE atmospheric dispersion model, dedicated to the urban scale. The multiscale coupling approach consists in determining the boundary conditions of a simulation from another simulation on a larger scale. In this thesis work, we analyzed three methods for coupling the SIRANE model with the CHIMERE mesoscale model. This study shows that these methods can potentially estimate the air quality at the urban scale more satisfactorily than the mesoscale models (used alone). However, they do not necessarily improve the modeling of the boundary conditions of a simulation at the urban scale and the estimates provided by them. This is a priori due to the fact that the estimates provided by the CHIMERE model are not sufficiently good on our case study. It is possible, however, that these methods improve the results at the urban scale by using a better simulation at the regional scale. The data assimilation approach consists of combining the measurements and the modelled data to determine the best estimate of the system state. During this thesis, we studied three data assimilation methods : the unbiased method, the method that we called source apportionment modulation, and the Best Linear Unbiased Estimator method. This study indicates that these methods generally improve the estimates provided by the SIRANE model. The sensitivity study on the number of measurements used during the data assimilation indicates that, in general, higher is this number, more satisfactory are the results. Finally, the results show that the statistical performances associated with these three data assimilation methods are globally comparable on our case study
Bahlali, Meïssam. "Adaptation de la modélisation hybride eulérienne/lagrangienne stochastique de Code_Saturne à la dispersion atmosphérique de polluants à l’échelle micro-météorologique et comparaison à la méthode eulérienne". Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1047/document.
Texto completoThis Ph.D. thesis is part of a project that aims at modeling pollutant atmospheric dispersion with the Computational Fluid Dynamics code Code_Saturne. The objective is to simulate atmospheric dispersion of pollutants in a complex environment, that is to say around power plants, industrial sites or in urban areas. In this context, the focus is on modeling the dispersion at micro-scale, that is for distances of the order of a few meters to a few kilometers and corresponding to time scales of the order of a few tens of seconds to a few tens of minutes: this is also called the near field area. The approach followed in this thesis follows a hybrid Eulerian/Lagrangian formulation, where the mean dynamical fields relative to the carrier fluid (pressure, velocity, temperature, turbulence) are calculated through an Eulerian approach and are then provided to the Lagrangian solver. This type of formulation is commonly used in the atmospheric literature for its numerical efficiency. The Lagrangian stochastic model considered in our work is the Simplified Langevin Model (SLM), developed by Pope (1985,2000). This model belongs to the methods commonly referred to as PDF (Probability Density Function) methods, and, to our knowledge, has not been used before in the context of atmospheric dispersion. First, we show that the SLM meets the so-called well-mixed criterion (Thomson, 1987). This criterion, essential for any Lagrangian stochastic model to be regarded as acceptable, corresponds to the fact that if particles are initially uniformly distributed in an incompressible fluid, then they must remain so. We check the good respect of the well-mixed criterion for three cases of inhomogeneous turbulence representative of a wide range of practical applications: a mixing layer, an infinite plane channel, and an atmospheric-like case involving an obstacle within a neutral boundary layer. We show that the good respect of the well-mixed criterion lies simply in the good introduction of the pressure gradient term as the mean drift term in the Langevin model (Pope, 1987; Minier et al., 2014; Bahlali et al., 2018c). Also, we discuss the importance of consistency between Eulerian and Lagrangian fields in the framework of such Eulerian/Lagrangian hybrid formulations. Then, we validate the model in the case of continuous point source pollutant dispersion, under uniform wind and homogeneous turbulence. In these conditions, there is an analytical solution allowing a precise verification. We observe that in this case, the Lagrangian model discriminates well the two different near- and far-field diffusion regimes, which is not the case for an Eulerian model based on the eddy-viscosity hypothesis (Bahlali et al., 2018b).Finally, we work on the validation of the model on several experimental campaigns in real atmosphere, taking into account atmospheric thermal stratification and the presence of buildings. The first experimental program considered in our work has been conducted on the `SIRTA' site (Site Instrumental de Recherche par Télédétection Atmosphérique), in the southern suburb of Paris, and involves a stably stratified surface layer. The second campaign studied is the MUST (Mock Urban Setting Test) experiment. Conducted in the United States, in Utah's desert, this experiment aims at representing an idealized city, through several ranges of containers. Two cases are simulated and analyzed, respectively corresponding to neutral and stable atmospheric stratifications (Bahlali et al., 2018a)
Cécé, Raphaël. "Simulations numériques méso- et micro-échelles des circulations locales générées par des îles tropicales : cas de l’archipel de la Guadeloupe avec une application à la dispersion de polluants (WRF-LES-FLEXPART)". Thesis, Antilles-Guyane, 2014. http://www.theses.fr/2014AGUY0735/document.
Texto completoThe present work expresses the will of Caribbean researchers to improve the meso- and micro-meteorological scientific knowledge of the trade winds influenced island areas, and to develop research in these domains.It is well known that tropical hurricanes remain the most remarkable meteorological phenomena that affect the Caribbean islands. But some other phenomena, of smaller scale, such as intense rainfall events, swells, or air quality degradation, are of extreme importance for natural or health hazards. These examples show the need to use downscaling methods to exploit large scale meteorological or climatic information, and to obtain local and regional scenarios for the island areas. This is an important challenge, as sound scientific studies in these matters are eagerly expected. The aim of the research works exposed in the present dissertation is numerical simulation and analysis of the meso- and microscale mechanisms that induce diurnal and nocturnal local circulations in the Guadeloupe archipelago, using numerical meteorological models that are widely used in research and in operational forecasting.These works represent the first high-resolution (1 km to 111 m) numerical study of the lower atmosphere over the Guadeloupe archipelago. The Weather Research and Forecasting ARW 3.4 (WRF-ARW) model is used to simulate the troposphere from global scale to turbulence scale. Real cases of three typical weather types (80% of cases during a year) are examined during 48 hours : strong trade winds (STW), medium trade winds (MTW) and weak trade winds (WTW). These weather types are characterized by values of the local Froude number : 0.82 (STW), 0.41 (MTW) and 0.21 (WTW). Six domains have been selected for the dynamical downscaling : D01 (grid spacing of 27 km), D02 (grid spacing of 9 km), D03 (grid spacing of 3 km), D04 (grid spacing of 1 km), D05 (grid spacing of 333 m) and D06 (grid spacing of 111 m), including 70 vertical levels. The first four domains (D01 to D04) cover the Guadeloupe archipelago and are used in the meso-scale simulations with the planetary boundary layer scheme YSU (ensemble mean). Domain D05 (covering the Basse-Terre island and the middle of the archipelago) and domain D06 (covering the coastal and rural area of Le Petit Cul-de-Sac Marin and the urban area of Pointe-à-Pitre), are employed in the micro-scale simulation (LES) with the 3D TKE 1.5 order closure scheme. WRF has been 6 hourly reinitialized with the NCEP FNL global analyses (resolution of 1°). These simulations permitted to obtain 10-minutes meteorological variable fields with a very high resolution (111 m).Meso-scale and micro-scale model results have been evaluated with observational data from meteorological stations (field campaign Atmo-Mangrov, French Met Office).Once validated, the micro-scale model outputs have been used for the assimilation of the lagrangian particle dispersion model : FLEXPART. The coupling FLEXPART-WRF has been employed in domain D06, in order to analyze the dispersion of the nitrogen oxide plume emitted by the main power plant of the archipelago
Nironi, Chiara. "Concentration fluctuations of a passive scalar in a turbulent boundary layer". Phd thesis, Ecole Centrale de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00964852.
Texto completoLapointe-Thériault, David. "Vers une résolution numérique du vent dans la couche limite atmosphérique à micro-échelle avec la méthode de simulation des grandes échelles (LES) sous OpenFOAM". Mémoire, École de technologie supérieure, 2012. http://espace.etsmtl.ca/1123/1/LAPOINTE%2DTH%C3%89RIAULT_David.pdf.
Texto completo