Auswahl der wissenschaftlichen Literatur zum Thema „Modélisation de la pollution atmosphérique“
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Zeitschriftenartikel zum Thema "Modélisation de la pollution atmosphérique"
Sportisse, Bruno. „Quelques aspects de la modélisation de la pollution atmosphérique“. Annales des Ponts et Chaussées 2003, Nr. 107-108 (Juli 2003): 44–55. http://dx.doi.org/10.1016/s0152-9668(03)80006-2.
Der volle Inhalt der QuelleSIMEON, Jacques. „Lu pour vous : "Pollution atmosphérique, des processus à la modélisation" par Bruno Sportisse“. La Météorologie 8, Nr. 64 (2009): 63. http://dx.doi.org/10.4267/2042/23637.
Der volle Inhalt der QuelleEilstein, D., A. Zeghnoun, A. Le Tertre, S. Cassadou, C. Declercq, L. Filleul, A. Lefranc et al. „Modélisation des liens à court terme entre la pollution atmosphérique et la santé : une actualisation des méthodes d’analyse des séries temporelles“. Revue d'Épidémiologie et de Santé Publique 52, Nr. 6 (Dezember 2004): 583–89. http://dx.doi.org/10.1016/s0398-7620(04)99098-0.
Der volle Inhalt der QuelleDurand, P., E. Lelong und C. Neal. „Modélisation des effets hydrochimiques à long terme des dépôts acides et des reboisements dans les bassins versants du Mont-Lozère (Sud de la France)“. Revue des sciences de l'eau 5, Nr. 2 (12.04.2005): 229–45. http://dx.doi.org/10.7202/705130ar.
Der volle Inhalt der QuelleGourin, Julien. „Pollution atmosphérique“. Revue Juridique de l'Environnement 41, Nr. 4 (2016): 802–4. http://dx.doi.org/10.3406/rjenv.2016.6934.
Der volle Inhalt der QuelleLambrozo, J., und G. Guillossou. „Pollution atmosphérique“. EMC - Pathologie professionnelle et de l 'environnement 2, Nr. 4 (Januar 2007): 1–25. http://dx.doi.org/10.1016/s1155-1925(07)71842-6.
Der volle Inhalt der QuelleKrolik, Christophe. „Pollution atmosphérique“. Revue Juridique de l'Environnement 35, Nr. 4 (2010): 766–67. http://dx.doi.org/10.3406/rjenv.2010.5426.
Der volle Inhalt der QuelleEl Mekki, F., S. Taktak, S. Mechaal, A. Hamzaoui und H. Ghedira. „Asthme et pollution atmosphérique“. Revue de Pneumologie Clinique 60, Nr. 1 (Februar 2004): 13–21. http://dx.doi.org/10.1016/s0761-8417(04)72078-7.
Der volle Inhalt der QuelleCharpin, D. „Pollution atmosphérique et atopie“. Revue Française d'Allergologie et d'Immunologie Clinique 36, Nr. 3 (Mai 1996): 327–35. http://dx.doi.org/10.1016/s0335-7457(96)80103-1.
Der volle Inhalt der QuellePlaza, Caroline. „Pollution atmosphérique et santé“. L'Aide-Soignante 34, Nr. 220 (Oktober 2020): 1. http://dx.doi.org/10.1016/j.aidsoi.2020.08.011.
Der volle Inhalt der QuelleDissertationen zum Thema "Modélisation de la pollution atmosphérique"
Khlaifi, Anis. „Estimation des sources de pollution atmosphérique par modélisation inversée“. Paris 12, 2007. http://www.theses.fr/2007PA120067.
Der volle Inhalt der QuelleThe identification of the pollution sources and their contributions using the measures in their environment was treated by two approaches, adapted to two different problems. In the first case, the objective is the identification of the sources as a blind source separation, by their profiles (fingerprints), and the estimation of their contributions. They are complex sources, whose emission profiles are unknown and include several species. It is through the measurements of the various species in the environment, by using statistical methods of pattern recognition (PCA, PMF, HC, KPCA, ICA), that we determined the sources profiles. The general interest of these problems lies within the evaluation of the impact of the aerosols sources. In the second case, the separation among the sources is not done any more by their profile, because there is only one chemical species; in this case, the purpose is to estimate the contributions of the chronic and known sources. We developed an original coupling between the Pasquill gaussian model and the genetic algorithms, to solve the inverse problem: source emission estimation from the measurements of an air quality monitoring network. This estimation can be realized with the aim of sources monitoring or emission inventory. Our results revealed various configurations related to the inversion of a physical model and led to the development of a methodology allowing an optimal network design
Loup, Pierre. „Modélisation de l'exposition individuelle à la pollution atmosphérique“. Montpellier 1, 2005. http://www.theses.fr/2005MON1T016.
Der volle Inhalt der QuellePhilippe, Christelle. „Analyse de la pollution atmosphérique aux échelles locale et régionale. Modélisation spatiale et temporelle à l'aide d'une méthode de scénarios épisodiques“. Rouen, INSA, 2004. http://www.theses.fr/2004ISAM0005.
Der volle Inhalt der QuelleBalde, Hambaliou. „Modélisation de la pollution atmosphérique de scalaires passifs par faibles vents“. Thesis, Evry-Val d'Essonne, 2011. http://www.theses.fr/2011EVRY0001/document.
Der volle Inhalt der QuelleThe most intense air pollution episodes occur in situations of low winds. The air pollution models overestimate or underestimate the levels in these conditions, according to models of standard deviations (σi with i = x, y, z) dispersion which they are associated. This was highlighted in the irst part of this thesis where we evaluated the efficacy of five models of dispersal patterns associated with six standard deviations, using five international databases. In the second part, we have developed two models of dispersal standard deviations (S_LMEE_Ond and S_LMEE_Taylor) from experimental databases appropriate. It has been shown and for light winds, the wind speed is non-stationary and ischaracterized by rapid fluctuations (random or turbulent) and slow fluctuations (organized). Turbulent fluctuations promote mixing of particles within the plume and slow fluctuations leading to their horizontal transport. Models of deviations developed in this thesis seem more appropriate to study the dispersion of particles by low winds. The model is based on the module S_LMEE_Taylor average wind speed (V) and standard deviations of fluctuations organized (σu and σv). ARX models and multivariate autoregressive have been developed in MATLAB to predict these parameters with a 10 min and 30 min
Glockner, Stéphane. „Contribution à la modélisation de la pollution atmosphérique dans les villes“. Bordeaux 1, 2000. http://www.theses.fr/2000BOR12332.
Der volle Inhalt der QuelleThouron, Laëtitia. „Modélisation dynamique multi-échelle de la pollution atmosphérique en milieu urbain“. Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1206/document.
Der volle Inhalt der QuelleUrban air pollution has been identified as an important cause of health impacts, including premature deaths. In particular, ambient concentrations of gaseous pollutants such as nitrogen dioxide (NO2) and particulate matter (PM10 and PM2.5) are regulated, which means that emission reduction strategies must be put in place to reduce these concentrations in places where the corresponding regulations are not respected. Besides, air pollution can contribute to the contamination of other media, for example through the contribution of atmospheric deposition to runoff contamination.The multifactorial and multiscale aspects of urban make the pollution sources difficult to identify. Indeed, the urban environment is a heterogeneous space characterized by complex architectural structures (old buildings alongside a more modern building, residential, commercial, industrial zones, roads, etc.), non-uniform atmospheric pollutant emissions and therefore the population exposure to pollution is variable in space and time.The modeling of urban air pollution aims to understand the origin of pollutants, their spatial extent and their concentration/deposition levels. Some pollutants have long residence times and can stay several weeks in the atmosphere (PM2.5) and therefore be transported over long distances, while others are more local (NOx in the vicinity of traffic). The spatial distribution of a pollutant will therefore depend on several factors, and in particular on the surfaces encountered. Air quality depends strongly on weather, buildings (canyon-street) and emissions.The aim of this thesis is to address some of these aspects by modeling: (1) urban background pollution with a transport-chemical model (Polyphemus / POLAIR3D), which makes it possible to estimate atmospheric pollutants by type of urban surfaces (roofs, walls and roadways), (2) street-level pollution by explicitly integrating the effects of the building in a three-dimensional way with a multi-scale model of transport chemistry (SinG) and (3) a microscale process which is the traffic-related resuspension of the particles present on the road surface with three different formulations (deterministic, semi-empirical and empirical).The interest of this thesis is to compare and evaluate the operability and performance of several air quality models at different scales (region, neighborhood and street) in order to better understand the characterization of air quality in an urban environment
Lachatre, Mathieu. „Étude de la pollution atmosphérique en Chine par modélisation et télédétection“. Electronic Thesis or Diss., Sorbonne université, 2018. https://theses.hal.science/tel-02914807.
Der volle Inhalt der QuelleAs a result of its significant economic development, Chinese society has transformed itself and today faces a global environmental crisis. In everyday life, China’s big cities are covered with a thick smog of gas and particles, which is responsible for more than 1.6 million premature deaths, making China the most affected country by air pollution, along with its neighbor, India. In China, there are many sources of air pollution linked to human activities [traffic, industry, agriculture, energy production, construction], but also various natural sources of pollutants, in particular emissions of mineral dust from the deserts of Asia, in western China. The People’s Republic of China has begun to regulate activities that may affect air quality. The effectiveness of such actions is conditioned by the detailed knowledge of the anthropogenic contribution to this pollution and the complex relationship between primary and secondary pollutants. In this thesis, we have investigated, on the one hand, the impact of primary pollutant reduction policies on ammonia concentrations and more generally inorganic aerosols, and on the other hand, the contribution of desert aerosol to the particulate matter load in Chinese urban agglomerations. To do so, we combined data sources and tools such as satellite observations and numerical modelling. We use the CHIMERE regional chemistry-transport model to study and characterize air pollution in China. First, we carried out a detailed evaluation of the simulations performed with a configuration of the CHIMERE model set up for China. For this, we relied on satellite observations, remote sensing, and in-situ measurements of particulate concentrations and gaseous [inorganic] precursors. The results obtained show that the model works satisfactorily according to criteria given in the literature. Regarding the impact of emission reduction policies - especially for sulfur and nitrogen oxides, long term measurements with the OMI instrument aboard the AURA satellite show a sharp decrease in the atmospheric sulfur dioxide and nitrogen dioxide columns. From these observations, it was possible to derive corrected emissions [compared to the available 2010 inventory] for the years 2013 and 2015 for NOX and SO2. The derived emission trends were then used to study the impacts on atmospheric composition, particularly on the formation of inorganic particles and associated gases such as ammonia, whose concentrations appeared to strongly increase in recent years. Simulations showed that the sharp decrease in SO2 and NO2 emissions between 2011 and 2015 led to a overall 14% decrease in nitrate, sulphate and ammonium aerosol concentrations, as well as an increase of nearly 50% of ammonia column levels, a value corroborated by the IASI observations that indicate an increase in ammonia columns of +65 ˙% under the same conditions. In a second step, the objective was to evaluate the contribution of desert aerosol to the particulate matter load in several Chinese cities. Dust emission modeling by Asian desert regions was first evaluated using remote sensing observations. Then, we verified the model’s ability to represent PM2.5 and PM10 concentrations in Chinese megacities by comparing measurements of ground based observation networks. The study focuses mainly on three of the most populated PRC cities with different geographic locations, Beijing, Chengdu and Shanghai [...]
Gauthier, Alain. „Analyse d'une modélisation lagrangienne des panaches dans un modèle régional de pollution atmosphérique“. Paris, ENMP, 1999. http://www.theses.fr/1999ENMP0893.
Der volle Inhalt der QuelleSoulhac, Lionel. „Modélisation de la dispersion atmosphérique à l'intérieur de la canopée urbaine“. Ecully, Ecole centrale de Lyon, 2000. http://www.theses.fr/2000ECDL0007.
Der volle Inhalt der QuelleThere are many practical situations in which it is necessary to evaluate the impact of urban air pollution on health and the environment. Often, this demands rather fine scale modelling of air flow and dispersion, at the scale of the street or the quartier. In such cases it is usually necessary to include the influence of a large number of irregularly-shaped buildings. This requires the development and application of simplified, practical models, which are based on the main underlying physical phenomena. One approach which is commonly used to estimate pollutant concentrations in an isolated street is the street canyon model. Although flow and dispersion in an isolated street have been the subject of many investigations in the past, and several practical models have been proposed for idealised configurations, many questions remain unanswered. The aims of this investigation are therefore to improve our understanding of the fundamental processes which govern flow and dispersion in a single street or a group of streets, and to develop simple, operational models for these situations. The research has been carried out using numerical and experimental techniques. Numerical simulations have been carried out using the three-dimensional atmospheric boundary layer code MERCURE (a RANS model with a k-є closure) and the experiments were performed in the atmospheric wind tunnel at the Ecole Centrale de Lyon. Fluid velocities and gas concentrations were measured using LDA and FID. Initially, we studied the influence of street geometry (aspect ratio, asymmetry) on flow and dispersion within the street, when the wind blows perpendicular to the street. We have developed a model for pollutant concentrations, based on a solution of the advection-diffusion equation in a potential flow. Next we studied the influence of the direction of the wind relative to the axis of the street, and we show that the problem can be decomposed into flow parallel and perpendicular to the street. In the third part of the study we investigated the influence of street geometry and wind direction on flow and dispersion at street intersections; we show that the flow within the streets plays an important role in determining the exchange of material within the intersection. Based on these results, we then develop a model which extends the street canyon concept to a network of connected streets. This makes it possible to study the atmospheric dispersion of pollutants at the scale of the quartier. All the models developed during this work have been compared with the results from numerical simulations and experiments, and the agreement is generally good. As a final test of the models, we have used them to simulate dispersion in part of the 6th arrondissement of Lyon; the calculated concentrations show surprisingly good agreement with concentrations measured by an atmospheric pollution monitor located there
Sarrat, Claire. „Modélisation à l'échelle régionale de la pollution atmosphérique : application à la campagne ESQUIF“. Toulouse 3, 2003. http://www.theses.fr/2003TOU30152.
Der volle Inhalt der QuelleBücher zum Thema "Modélisation de la pollution atmosphérique"
Sportisse, Bruno. Pollution atmosphérique: Des processus à la modélisation. Paris: Springer Paris, 2008.
Den vollen Inhalt der Quelle findenDenis-Paul, Mawet, Hrsg. La pollution atmosphérique. Tournai [Belgique]: Éditions Gamma, 1993.
Den vollen Inhalt der Quelle findenBoutaric, Franck. Pollution atmosphérique et action publique. Paris: Éditions Rue d'Ulm, 2014.
Den vollen Inhalt der Quelle findenHilborn, J. Perspective canadienne sur la pollution atmosphérique. Ottawa, Ont: Environnement Canada, 1990.
Den vollen Inhalt der Quelle findenMasclet, Pierre. Pollution atmosphérique: Causes, conséquences, solutions, perspectives. Paris: Ellipses, 2005.
Den vollen Inhalt der Quelle findenCanada. Translation Bureau. Terminology and Linguistic Services Branch und Canada. Dept. of the Secretary of State of Canada, Hrsg. Vocabulaire sur les précipitations acides et la pollution atmosphérique. Ottawa, Ont: Secrétariat d'Etat du Canada = Dept. of the Secretary of State of Canada, 1987.
Den vollen Inhalt der Quelle findenMouvier, Gérard. La pollution atmosphérique: Un exposé pour comprendre, un essai pour réfléchir. Paris: Flammarion, 1994.
Den vollen Inhalt der Quelle findenDab, William. L'air et la ville: Les nouveaux visages de la pollution atmosphérique. Paris: Hachette littératures, 2001.
Den vollen Inhalt der Quelle findenRivard, Denis. Vocabulaire des précipitations acides et la pollution atmosphérique =: Vocabulary of acid precipitation and air pollution. Ottawa: Secrétariat d'Etat du Canada = Dept. of the Secretary of State of Canada, 1987.
Den vollen Inhalt der Quelle findenF, Liu David H., und Lipták Béla G, Hrsg. Air pollution. Boca Raton: Lewis Publishers, 2000.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Modélisation de la pollution atmosphérique"
Clavel, Jacqueline, Pauline Brosselin und Claire Faure. „Benzène, hydrocarbures polycycliques, pollution atmosphérique“. In Épidémiologie des cancers de l’enfant, 343–46. Paris: Springer Paris, 2009. http://dx.doi.org/10.1007/978-2-287-78337-1_44.
Der volle Inhalt der QuelleMENUT, Laurent. „Principe général de la modélisation et application à la météorologie“. In Modélisation de la pollution atmosphérique régionale, 49–67. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch3.
Der volle Inhalt der QuelleMENUT, Laurent. „Définition de la pollution atmosphérique“. In Modélisation de la pollution atmosphérique régionale, 5–27. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch1.
Der volle Inhalt der QuelleMENUT, Laurent. „Les impacts de la pollution atmosphérique“. In Modélisation de la pollution atmosphérique régionale, 193–200. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch9.
Der volle Inhalt der QuelleMENUT, Laurent. „Les dépôts“. In Modélisation de la pollution atmosphérique régionale, 113–23. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch5.
Der volle Inhalt der QuelleMENUT, Laurent. „Observations et législation“. In Modélisation de la pollution atmosphérique régionale, 29–48. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch2.
Der volle Inhalt der QuelleMENUT, Laurent. „La modélisation de chimie-transport“. In Modélisation de la pollution atmosphérique régionale, 125–53. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch6.
Der volle Inhalt der QuelleMENUT, Laurent. „Les émissions“. In Modélisation de la pollution atmosphérique régionale, 69–112. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch4.
Der volle Inhalt der QuelleMENUT, Laurent. „Assimilation de données, modélisation inverse et prévision“. In Modélisation de la pollution atmosphérique régionale, 179–92. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch8.
Der volle Inhalt der QuelleMENUT, Laurent. „Qualification et optimisation“. In Modélisation de la pollution atmosphérique régionale, 155–77. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9102.ch7.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Modélisation de la pollution atmosphérique"
BACHARI, Nour El Islam, Abdelkader ABDELLAOUI und Fouzia HOUMA. „Modélisation des données multisources pour l’étude de la pollution de la baie d’Alger à base d’un système d’information géographique“. In Conférence Méditerranéenne Côtière et Maritime - Coastal and Maritime Mediterranean Conference. Editions Paralia, 2011. http://dx.doi.org/10.5150/cmcm.2011.059.
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