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Journal articles on the topic 'Simulation particulaire'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Rouïl, Laurence, Bertrand Bessagnet, Olivier Favez, Eva Leoz-Garziandia, and Frédérik Meleux. "Épisodes de pollution particulaire en France : quels enseignements tirer des récents épisodes ?" Pollution atmosphérique, NS 8 (March 1, 2015): 101–14. http://dx.doi.org/10.54563/pollution-atmospherique.7889.

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Les niveaux de pollution particulaire en Europe et en France restent assez largement influencés par des situations d’épisodes durant lesquelles les concentrations peuvent atteindre des valeurs très élevées. Même s’il n’existe pas de seuils en dessous desquels la nocivité des impacts sanitaires de la pollution particulaire serait amoindrie, il est intéressant d’investiguer les causes des épisodes de pollution de façon à mieux en cerner les facteurs déterminants et concevoir les stratégies de gestion les plus appropriées. Ils sont liés aux émissions, à la météorologie, aux caractéristiques de si

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2

Rivoalen, Elie, Serge Huberson, and Frédéric Hauville. "Simulation numérique des équations de Navier-Stokes 3D par une méthode particulaire." Comptes Rendus de l'Académie des Sciences - Series IIB - Mechanics-Physics-Chemistry-Astronomy 324, no. 9 (1997): 543–49. http://dx.doi.org/10.1016/s1251-8069(97)83187-9.

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3

Villedieu, Philippe, and Jouke Hylkema. "Une méthode particulaire aléatoire reposant sur une équation cinétique pour la simulation numérique des sprays denses de gouttelettes liquides." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 325, no. 3 (1997): 323–28. http://dx.doi.org/10.1016/s0764-4442(97)83964-x.

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4

VĂDUVA, Ion, and Mihăiţă DRĂGAN. "ON THE SIMULATION OF SOME PARTICULAR DISCRETE DISTRIBUTIONS." Review of the Air Force Academy 16, no. 2 (2018): 17–30. http://dx.doi.org/10.19062/1842-9238.2018.16.2.2.

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5

Yang Fu, 杨馥, 陈文豪 Chen Wenhao, 陆彦宇 Lu Yanyu та 贺岩 He Yan. "高光谱分辨率的海洋碳颗粒剖面探测系统仿真". Infrared and Laser Engineering 52, № 5 (2023): 20220715. http://dx.doi.org/10.3788/irla20220715.

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6

Maierhofer, Paul, Marco Carminati, Giorgio Ferrari, Georg Röhrer, Marco Sampietro, and Alexander Bergmann. "Characterization of a Capacitive Sensor for Particulate Matter." Proceedings 2, no. 13 (2018): 995. http://dx.doi.org/10.3390/proceedings2130995.

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We characterize a novel micro-sensor with pairs of interdigitated combs of microelectrodes designed to detect particles in air. We evaluate the sensor’s response to 1 µm Polystyrene Latex (PSL) particles experimentally and crosscheck the results with simulations. Experiment and simulation show good consistency. Based on the promising results we propose a redesign of the capacitive particle sensor with respect to PM2.5.

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7

Trunk, Robin, Timo Weckerle, Nicolas Hafen, Gudrun Thäter, Hermann Nirschl, and Mathias J. Krause. "Revisiting the Homogenized Lattice Boltzmann Method with Applications on Particulate Flows." Computation 9, no. 2 (2021): 11. http://dx.doi.org/10.3390/computation9020011.

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The simulation of surface resolved particles is a valuable tool to gain more insights in the behaviour of particulate flows in engineering processes. In this work the homogenized lattice Boltzmann method as one approach for such direct numerical simulations is revisited and validated for different scenarios. Those include a 3D case of a settling sphere for various Reynolds numbers. On the basis of this dynamic case, different algorithms for the calculation of the momentum exchange between fluid and particle are evaluated along with different forcing schemes. The result is an updated version of

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葉沛廷, 葉沛廷, та 蘇瑛敏 Pei-Ting Yeh. "基於透空式建築型態的街谷細懸浮微粒汙染物擴散數值模擬". 建築學報 117, № 117 (2021): 069–95. http://dx.doi.org/10.53106/101632122021090117004.

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<p>受發展影響都市空間結構呈現高層且高密度趨勢，頻繁的人為活動加上在密集空間裡持續排放汙染物，破壞都市微氣候環境造成負面效應(任超，2016；歐陽嶠暉，2005)，為改善惡化的都市環境，主要透過規劃與設計針對建物與街道空間型態進行優化，其中高密度的建築群影響周邊風環境，不利於街谷內汙染物的擴散，而透過透空式建築設計能減少建築迎風面面積，增加風通透性以改善都市環境 (香港屋宇署，2013)，過往研究多透過觀測的方式分析汙染物與氣象條件的關係，近期則針對汙染物進行電腦數值模擬，但採用顆粒物的模擬相對較少，因此本研究配合Hang, J. & Li, Y. G.(2010)理想城市10&times;9配置，設定透空式建築量體為長(30m)、寬(30m)、高(80m)，並以無透空建築為對照組，加上不同建築洞口高度(0.45h、0.65h及0.45-0.65h)為變項設計共4組研究方案，使用ANSYS Fluent v18進行風環境與PM2.5細懸浮微粒汙染物模擬。研究結果顯示:高層建築量體增加街道封閉性，導致空氣流通與汙染物擴散的阻礙，透空式建築能提高街道的滲透性改善空氣流通。隨著 Z 軸高度增加汙染物分佈受街谷空間及汙染源距離影響，因此較低的洞口具有較佳汙染物去除效果。連續且過長的街道讓汙染物累積於都市末端，建議維持足夠的都市空間讓街區空氣流通，以得到理想改善

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9

Liu, Don, Yi Fan Wang, and Hai Bo Zhang. "Spectral Element Simulation of Complex Particulate Flows." Applied Mechanics and Materials 404 (September 2013): 318–23. http://dx.doi.org/10.4028/www.scientific.net/amm.404.318.

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This paper uses a mathematical model Virtual Identity Particles, developed by the author, to simulate conjugated motion of complex particles in a fluid. Assimilated the advantages of Eulerian and Lagrangian approaches, this model treats each particle as a variable source term to the fluid and is designed for simulating numerous particles in two-phase flows. The economic formulation in this model is the salient feature. Considering both precision and computational cost, this model maintains an excellent balance between accuracy and efficiency in modeling particulate flows with complex particles

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10

Wang, Y. H., and S. C. Leung. "A particulate-scale investigation of cemented sand behavior." Canadian Geotechnical Journal 45, no. 1 (2008): 29–44. http://dx.doi.org/10.1139/t07-070.

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In this paper, triaxial tests and numerical simulations using the discrete element method (DEM) are combined to explore the underlying mechanisms of the unique behavior of artificially cemented sands. The experimental results show that strength enhancement, volumetric dilation, and the shear banding associated failure mode are observed in Portland cement sand; these features become more pronounced with increasing cement content. Different responses are found in gypsum-cemented sand even though both types of cemented sand specimens were prepared under very similar void ratios before shearing. T

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11

Song, Xin-Yi, Qing-Chang Lu, and Zhong-Ren Peng. "Spatial Distribution of Fine Particulate Matter in Underground Passageways." International Journal of Environmental Research and Public Health 15, no. 8 (2018): 1574. http://dx.doi.org/10.3390/ijerph15081574.

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The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM2.5) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Sha

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12

KIENLE, A., S. PALIS, M. MANGOLD, and R. DÜRR. "Modeling and Simulation of Particulate Processes." Èlektronnoe modelirovanie 38, no. 5 (2016): 23–34. http://dx.doi.org/10.15407/emodel.38.05.023.

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13

Song, Ming, B. M. Li, A. Steiff, and P. M. Weinspach. "Stochastic Simulation of Particulate Dynamic Breakup." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 31, no. 2 (1998): 201–7. http://dx.doi.org/10.1252/jcej.31.201.

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14

Patankar, N. A., and D. D. Joseph. "Lagrangian numerical simulation of particulate flows." International Journal of Multiphase Flow 27, no. 10 (2001): 1685–706. http://dx.doi.org/10.1016/s0301-9322(01)00025-8.

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15

Durán, A., M. Carmona, and J. M. Monteagudo. "Simulation of diesel particulate matter size." Atmospheric Environment 38, no. 36 (2004): 6203–9. http://dx.doi.org/10.1016/j.atmosenv.2004.07.016.

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16

Josephson, Alexander J., Troy M. Holland, Sara Brambilla, Michael J. Brown, and Rodman R. Linn. "Predicting Emission Source Terms in a Reduced-Order Fire Spread Model—Part 1: Particulate Emissions." Fire 3, no. 1 (2020): 4. http://dx.doi.org/10.3390/fire3010004.

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A simple, easy-to-evaluate, surrogate model was developed for predicting the particle emission source term in wildfire simulations. In creating this model, we conceptualized wildfire as a series of flamelets, and using this concept of flamelets, we developed a one-dimensional model to represent the structure of these flamelets which then could be used to simulate the evolution of a single flamelet. A previously developed soot model was executed within this flamelet simulation which could produce a particle size distribution. Executing this flamelet simulation 1200 times with varying conditions

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17

Peciar, Peter, Oliver Macho, Roman Fekete, and Marián Peciar. "THE USE OF DEM SIMULATION FOR CONFIRMING THE PROCESS OF PARTICULATE MATERIAL MIXING." Acta Polytechnica 58, no. 6 (2018): 378–87. http://dx.doi.org/10.14311/ap.2018.58.0378.

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At the present time in the research of particulate materials, computer methods that work independently with individual particles are coming to the forefront. One such method is the Discrete Element Method – DEM, which is already widely used. Its usage, however, is complex, mostly due to the input data – what the properties of the researched material are, plus their interaction in processes. And despite the progress, it is still always necessary to validate the experimental equipment and to verify the individual simulations by an experimental measuring or by theoretical knowledge. This study fo

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18

Lin, Jianyu, Tie Dai, Lifang Sheng, Weihang Zhang, Shangfei Hai, and Yawen Kong. "Sensitivity studies of a four-dimensional local ensemble transform Kalman filter coupled with WRF-Chem version 3.9.1 for improving particulate matter simulation accuracy." Geoscientific Model Development 18, no. 7 (2025): 2231–48. https://doi.org/10.5194/gmd-18-2231-2025.

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Abstract. Accurately simulating severe haze events through numerical models remains a challenge because of uncertainty in anthropogenic emissions and physical parameterizations of particulate matter (PM2.5 and PM10). In this study, a coupled Weather Research and Forecasting with Chemistry (WRF-Chem)–four-dimensional local ensemble transform Kalman filter (4D-LETKF) data assimilation system has been successfully developed to optimize particulate matter concentration by assimilating hourly ground-based observations in winter over the Beijing–Tianjin–Hebei (BTH) region and surrounding provinces.

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19

Han, Kyung M., Chang H. Jung, Rae-Seol Park, et al. "Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic." Applied Sciences 11, no. 4 (2021): 1959. http://dx.doi.org/10.3390/app11041959.

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In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from −0.15–0.26 to 0.17–0.76 over the Arctic). The newly inferre

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20

Yan, Sheng-Nan, Tian-Yu Wang, Tian-Qi Tang, An-Xing Ren, and Yu-Rong He. "Simulation on hydrodynamics of non-spherical particulate system using a drag coefficient correlation based on artificial neural network." Petroleum Science 17, no. 2 (2019): 537–55. http://dx.doi.org/10.1007/s12182-019-00411-2.

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AbstractFluidization of non-spherical particles is very common in petroleum engineering. Understanding the complex phenomenon of non-spherical particle flow is of great significance. In this paper, coupled with two-fluid model, the drag coefficient correlation based on artificial neural network was applied in the simulations of a bubbling fluidized bed filled with non-spherical particles. The simulation results were compared with the experimental data from the literature. Good agreement between the experimental data and the simulation results reveals that the modified drag model can accurately

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21

Jiang, Da Hai, Guang Tao Yao, Xin Yun Zi, Hong Wei Liu, and Ming Mao. "Study on Particulate Accumulated Characteristics of Diesel Particulate Filter." Applied Mechanics and Materials 229-231 (November 2012): 331–35. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.331.

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The paper has carried out numerical simulation and experimental study on the pressure loss of filter. Based on pressure loss model of filter, research methods of particulate accumulated characteristics has proposed according to the exhaust flow, exhaust temperature and exhaust back pressure. Meanwhile, the model is important for the online calculation of accumulated particulate matters in the filters and failure monitoring of diesel particulate filter.

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22

Yang, Shichun, Cheng Deng, Yanfei Gao, and Yongling He. "Diesel particulate filter design simulation: A review." Advances in Mechanical Engineering 8, no. 3 (2016): 168781401663732. http://dx.doi.org/10.1177/1687814016637328.

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23

Kittipoomwong, Prakorn, Howard See, and Nam Mai-Duy. "Dynamic simulation of non-spherical particulate suspensions." Rheologica Acta 49, no. 6 (2009): 597–606. http://dx.doi.org/10.1007/s00397-009-0412-6.

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24

Haseltine, Eric L., Daniel B. Patience, and James B. Rawlings. "On the stochastic simulation of particulate systems." Chemical Engineering Science 60, no. 10 (2005): 2627–41. http://dx.doi.org/10.1016/j.ces.2004.05.038.

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25

Rosato, A., F. Prinz, K. J. Standburg, and R. Swendsen. "Monte Carlo simulation of particulate matter segregation." Powder Technology 49, no. 1 (1986): 59–69. http://dx.doi.org/10.1016/0032-5910(86)85005-7.

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26

Skodras, G., S. P. Kaldis, D. Sofialidis, O. Faltsi, P. Grammelis, and G. P. Sakellaropoulos. "Particulate removal via electrostatic precipitators — CFD simulation." Fuel Processing Technology 87, no. 7 (2006): 623–31. http://dx.doi.org/10.1016/j.fuproc.2006.01.012.

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27

Kovalov, Serhii. "Optimization of Production Time using the Reinforcement Learning Method as a Particular Case Of Improving the Efficiency of Automated Production Lines." Central Ukrainian Scientific Bulletin. Technical Sciences 1, no. 11(42) (2025): 198–205. https://doi.org/10.32515/2664-262x.2025.11(42).1.198-205.

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This article examines the application of reinforcement learning methods to optimize the production time of an automated production line modeled as a graph. In this graph representation, nodes correspond to pieces of equipment capable of performing one or multiple manufacturing operations. Such an approach not only creates a precise model of the agent's operating environment but also enables the implementation of computer simulations. These simulations serve as a critical foundation for assessing the potential effectiveness of reinforcement learning methods in optimizing real-world production l

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28

Zhai, Shixian, Daniel J. Jacob, Drew C. Pendergrass, et al. "Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate." Atmospheric Chemistry and Physics 23, no. 7 (2023): 4271–81. http://dx.doi.org/10.5194/acp-23-4271-2023.

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Abstract. Air quality network data in China and South Korea show very high year-round mass concentrations of coarse particulate matter (PM), as inferred by the difference between PM10 and PM2.5. Coarse PM concentrations in 2015 averaged 52 µg m−3 in the North China Plain (NCP) and 23 µg m−3 in the Seoul Metropolitan Area (SMA), contributing nearly half of PM10. Strong daily correlations between coarse PM and carbon monoxide imply a dominant source from anthropogenic fugitive dust. Coarse PM concentrations in the NCP and the SMA decreased by 21 % from 2015 to 2019 and further dropped abruptly i

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29

Galí, Martí, Marcus Falls, Hervé Claustre, Olivier Aumont, and Raffaele Bernardello. "Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean." Biogeosciences 19, no. 4 (2022): 1245–75. http://dx.doi.org/10.5194/bg-19-1245-2022.

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Abstract. Oceanic particulate organic carbon (POC) is a small but dynamic component of the global carbon cycle. Biogeochemical models historically focused on reproducing the sinking flux of POC driven by large fast-sinking particles (LPOC). However, suspended and slow-sinking particles (SPOC, here < 100 µm) dominate the total POC (TPOC) stock, support a large fraction of microbial respiration, and can make sizable contributions to vertical fluxes. Recent developments in the parameterization of POC reactivity in PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies model; PISC

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30

Chen, Meng, Jian-ming Yang, and Yi-tao Yang. "Establishment of particular methods in casting simulation." Journal of Shanghai Jiaotong University (Science) 17, no. 4 (2012): 475–78. http://dx.doi.org/10.1007/s12204-012-1308-7.

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31

Huang, Wenhuai, Yinghao Jin, and Jianqiang Ye. "The effects of computer simulation on students’ understanding of the particulate nature of matter: An eye-tracking design and evidence." X-Disciplinarity 1, no. 2 (2025): 8. https://doi.org/10.63174/xdi.njsq7250.

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he particulate nature of matter is one of the core principles of chemistry, which helps students to recognize relevant chemical phenomena and chemical content at the submicroscopic level. Simulation describes the behavior and interactions of particles in a dynamic way, which helps students understand the particulate nature of matter by concretizing and visualizing abstractions. At the same time, simulations can be used as a useful resource or even a replacement for the authentic laboratory to deepen the grasp of abstract concepts. The purpose of this study was to explore the effect of simulati

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32

Zhu, Di, Ezanee Gires, Huizhen Dong, Aolin Chen, and Kamarul Arifin Ahmad. "Review of Motion Simulation of Particulate Matter in the Respiratory System and Further CFD Simulations on COVID-19." Processes 11, no. 4 (2023): 1281. http://dx.doi.org/10.3390/pr11041281.

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Respirable particulate matter (RSP) is currently very harmful to the human body, potentially causing pulmonary silicosis, allergic rhinitis, acute bronchitis, and pulmonary heart disease. Therefore, the study of the deposition pattern of RSP in the human respiratory system is key in the prevention, treatment, and research of related diseases, whereby the main methods are computer simulation, in vitro solid models, and theoretical analysis. This paper summarizes and analyzes past deposition of RSP in the respiratory tract and also describes them in specific case studies such as COPD and COVID-1

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33

MUGURUMA, Yoshitsugu. "Numerical Simulation of Particulate Flows in Pharmaceutical Apparatus." JAPANESE JOURNAL OF MULTIPHASE FLOW 11, no. 1 (1997): 15–18. http://dx.doi.org/10.3811/jjmf.11.15.

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34

Kanai, Y., and S. H. Charap. "Simulation of magnetic aftereffect in particulate recording media." IEEE Transactions on Magnetics 27, no. 6 (1991): 4972–74. http://dx.doi.org/10.1109/20.278711.

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35

Tsutsumi, M., F. Kugiya, N. Kodama, et al. "Read/write simulation of Ba‐ferrite particulate media." Journal of Applied Physics 69, no. 8 (1991): 4493–95. http://dx.doi.org/10.1063/1.348335.

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36

Yamamoto, Kazuhiro, and Kazuki Yamauchi. "Numerical simulation of continuously regenerating diesel particulate filter." Proceedings of the Combustion Institute 34, no. 2 (2013): 3083–90. http://dx.doi.org/10.1016/j.proci.2012.06.117.

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37

Coverdale, G. N., R. W. Chantrell, A. Hart, and D. Parker. "A 3-D simulation of a particulate dispersion." Journal of Magnetism and Magnetic Materials 120, no. 1-3 (1993): 210–12. http://dx.doi.org/10.1016/0304-8853(93)91324-z.

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38

Maxey, Martin. "Simulation Methods for Particulate Flows and Concentrated Suspensions." Annual Review of Fluid Mechanics 49, no. 1 (2017): 171–93. http://dx.doi.org/10.1146/annurev-fluid-122414-034408.

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39

Konstandopoulos, A. G., M. Kostoglou, and N. Vlachos. "The multiscale nature of diesel particulate filter simulation." International Journal of Vehicle Design 41, no. 1/2/3/4 (2006): 256. http://dx.doi.org/10.1504/ijvd.2006.009676.

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40

Yamamoto, Kazuhiro, Masamichi Nakamura, Hiroyoshi Yane, and Hiroshi Yamashita. "Simulation on catalytic reaction in diesel particulate filter." Catalysis Today 153, no. 3-4 (2010): 118–24. http://dx.doi.org/10.1016/j.cattod.2010.02.064.

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41

Zhu, H. P., Z. Y. Zhou, R. Y. Yang, and A. B. Yu. "Discrete particle simulation of particulate systems: Theoretical developments." Chemical Engineering Science 62, no. 13 (2007): 3378–96. http://dx.doi.org/10.1016/j.ces.2006.12.089.

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42

Tassopoulos, Menelaos, and Daniel E. Rosner. "Simulation of vapor diffusion in anisotropic particulate deposits." Chemical Engineering Science 47, no. 2 (1992): 421–43. http://dx.doi.org/10.1016/0009-2509(92)80031-7.

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43

Wu, Hao, and Meng Liu. "Enhanced Modeling for Analysis of Fine Particulate Interactions with Coated Surfaces." Applied Sciences 14, no. 5 (2024): 1896. http://dx.doi.org/10.3390/app14051896.

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The adhesion of Martian surface dust to solar panels has been a longstanding challenge for Mars mission researchers. Anti-dust coatings have been developed to deter the adsorption of dust particles onto these solar panels. However, current ground testing methods struggle to accurately verify and assess the coating’s ability to inhibit dust particle adsorption. Consequently, this paper introduces a computational model capable of calculating the contact force between fine particles and the coated surface. This model, grounded in the classical adhesive elastic interactions paradigm, establishes a

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44

Balanzino, A., E. Ferrero, G. Pirovano, G. M. Riva, and M. Causà. "Particulate matter pollution simulations in complex terrain." International Journal of Environment and Pollution 48, no. 1/2/3/4 (2012): 39. http://dx.doi.org/10.1504/ijep.2012.049650.

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45

Lu, Libin, Abtin Rahimian, and Denis Zorin. "Contact-aware simulations of particulate Stokesian suspensions." Journal of Computational Physics 347 (October 2017): 160–82. http://dx.doi.org/10.1016/j.jcp.2017.06.039.

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46

Rigby, Sean P., and Ali Alsayah. "Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics." Energies 17, no. 1 (2023): 211. http://dx.doi.org/10.3390/en17010211.

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This paper reviews and evaluates work on the structural complexity of the potential carbon dioxide storage sites in the North Sea, including the nature of the reservoir structures, the reservoir rocks, the presence of inter-layers, faults, and fractures, and how these factors influence carbon dioxide capacity. In particular, the review emphasises the significance of studying caprocks in detail, not just the reservoir rock’s carbon dioxide storage capacity. This work also particularly considers reservoir simulation work on North Sea sites and illustrates the importance of using fully coupled fl

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SHIMAZAKI, Yasuhiro, Masaaki OKUBO, and Toshiaki YAMAMOTO. "Three-dimensional Numerical Simulation of Gas-Particulate Flow around Breathing Human and Particulate Inhalation." Journal of Environment and Engineering 2, no. 1 (2007): 47–55. http://dx.doi.org/10.1299/jee.2.47.

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Sánchez-Ccoyllo, Odón R., Alan Llacza, Elizabeth Ayma-Choque, Marcelo Alonso, Paula Castesana, and Maria de Fatima Andrade. "Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study." Atmosphere 13, no. 11 (2022): 1816. http://dx.doi.org/10.3390/atmos13111816.

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Automobile emissions in urban cities, such as Peru, are significant; however, there are no published studies of the effects of these emissions on PM2.5 (fine particulate matter) formation. This study aims to analyze the contributions of vehicle aerosol emissions to the surface mass concentration of PM2.5 in the Metropolitan Area of Lima and Callao (MALC), one of the most polluted cities in Latin America and the Caribbean (LAC) known to have high concentrations of PM2.5. In February 2018, we performed two numerical simulations (control and sensitivity) using the Weather Research and Forecasting

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Wang, Liang, Zhaoli Guo, Baochang Shi, and Chuguang Zheng. "Evaluation of Three Lattice Boltzmann Models for Particulate Flows." Communications in Computational Physics 13, no. 4 (2013): 1151–72. http://dx.doi.org/10.4208/cicp.160911.200412a.

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AbstractA comparative study is conducted to evaluate three types of lattice Boltzmann equation (LBE) models for fluid flows with finite-sized particles, including the lattice Bhatnagar-Gross-Krook (BGK) model, the model proposed by Ladd [Ladd AJC, J. Fluid Mech., 271, 285-310 (1994); Ladd AJC, J. Fluid Mech., 271, 311-339 (1994)], and the multiple-relaxation-time (MRT) model. The sedimentation of a circular particle in a two-dimensional infinite channel under gravity is used as the first test problem. The numerical results of the three LBE schemes are compared with the theoretical results and

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Gonçalves, Fábio Luiz Teixeira, Klaus Dieter Beheng, Oswaldo Massambani, Wolfgang Vautz, and Dieter Klockow. "Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies." Revista Brasileira de Meteorologia 25, no. 4 (2010): 437–47. http://dx.doi.org/10.1590/s0102-77862010000400003.

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Below cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and;

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