[1] J Fröhlich-Nowoisky, C J Kampf, B Weber, et al. Bioaerosols in the Earth system: Climate, health, and ecosystem interactions. Atmospheric Research, 182, 346-376(2016).
[2] A Aba, A M Al-Dousari, A Ismaeel. Depositional characteristics of 7 Be and 210 Pb in Kuwaiti dust. Journal of Radio Analytical and Nuclear Chemistry, 307, 15-23(2015).
[3] Xuanyu Wang. Development of anti-infrared smoke material and its extinction performance (
[4] Youlin Gu, Wei Lu, Jiajie Fang, et al. Research progress on artificially prepared infrared extinction materials and their extinction properties (
[5] Yun Jiang, Xiaodong Dai, Qinghai Liu, et al. Improving flowability and floodability of ultrafine powder smoke agent. China Powder Science and Technology, 25, 33-38(2019).
[6] Haoliang Ren, Jianchao Zhang, Huichuan Cheng. Effects of jet conditions on aerosol smoke distribution. Science Technology and Engineering, 21, 6746-6751(2021).
[7] Guosheng Liu, Hua Guan, Dongming Song, et al. Application of DSMC method to study the impact diffusion characteristics of smoke particles. Acta Aerodynamica Sinica, 32, 395-399(2014).
[8] Zhilong Liu, Xuanyu Wang, Weizhao Yao, et al. Experimental study on explosive dispersion characteristics and variation laws of cloud parameters of short carbon fibers. Chinese Journal of Energetic Materials, 27, 773-778(2019).
[9] Aiqiang Guo, Xinbao Gao, Tianpeng Li, et al. Five-frame difference method for extracting characteristic parameters from measured infrared smoke screen Images. Chinese Journal of Energetic Materials, 29, 1144-1151(2021).
[10] Hao Chen, Xinbao Gao, Tianpeng Li, et al. Numerical simulation of maximum radius of initial cloud cluster of smoke screen. Chinese Journal of Energetic Materials, 26, 820-827(2018).
[11] Qinghai Liu, Wenbo Zhao, Wenlian Peng, et al. Component analysis of smokescreen combusting from a smoke agent. China Measurement & Test, 46, 59-63(2020).
[12] Shi Bao, Ye Zhou, Zihao Zhang, et al. Research on infrared smoke obscuring performance of burnable carbon black. Electro-optic Technology Application, 28, 85-88(2013).
[13] Shuai Zhang, Debin Fu, Xijuan Zhu. Simulation of smoke bomb particle generation and diffusion state based on combined method. Journal of Ordnance Equipment Engineering, 41, 33-37(2020).
[14] A Issakhov, A Mashenkova. Numerical study for the assessment of pollutant dispersion from a thermal power plant under the different temperature regimes. International Journal of Environmental Science and Technology, 16, 6089-6112(2019).
[15] L Chen, S Peng, J Liu, et al. Dry deposition velocity of total suspended particles and meteorological influence in four locations in Guangzhou, China. Journal of Environmental Sciences, 24, 632-639(2012).
[16] S J Jeong, A R Kim. CFD study on the influence of atmospheric stability on near-field pollutant dispersion from rooftop emissions. Asian Journal of Atmospheric Environment, 12, 47-58(2018).
[17] F Bazdidi-Tehrani, P Gholamalipour, M Kiamansouri, et al. Large eddy simulation of thermal stratification effect on convective and turbulent diffusion fluxes concerning gaseous pollutant dispersion around a high-rise model building. Journal of Building Performance Simulation, 12, 97-116(2018).
[18] D Guo, P Zhao, R Wang, et al. Numerical simulations of the flow field and pollutant dispersion in an idealized urban area under different atmospheric stability conditions. Process Safety and Environmental Protection, 136, 310-323(2020).
[19] Xiaomeng Yu, Le Cao, Jiade Yan, et al. A simulation of atmospheric pollution based on multi-phase particle-in-cell method. Science Technology and Engineering, 20, 5856-5863(2020).
[20] Sofiev M, Sofieva V, Elperin T, et al. Turbulent diffusion turbulent thermal diffusion of aerosols in stratified atmospheric flows[J]. Journal of Geophysical Research, 2009, 114: D18.
[21] Lucheng Xu, Kaitao Xiao. CFD-based study on countermeasure performance of anti-infrared smoke screen. Infrared Technology, 37, 337-341(2015).
[22] D L Yue, M Hu, Z J Wu, et al. Variation of particle number size distributions and chemical compositions at the urban and downwind regional sites in the Pearl River Delta during summertime pollution episodes. Atmospheric Chemistry and Physics, 10, 9431-9439(2010).
[23] C Li, H Wang, C W Yu, et al. Diffusion characteristics of the industrial submicron particle under Brownian motion and turbulent diffusion. Indoor and Built Environment, 31, 17-30(2021).
[24] Xi Chen, Yihua Hu, Youlin Gu, et al. Atmospheric suspension settling characteristics of biological extinction material. Infrared and Laser Engineering, 48, 0521003(2019).
[25] T A Price, R Stoll, J M Veranth, et al. A wind-tunnel study of the effect of turbulence on PM10 deposition onto vegetation. Atmospheric Environment, 159, 117-125(2017).
[26] D K Farmer, E K Boedicker, H M Debolt. Dry deposition of atmospheric aerosols: Approaches, observations, and mechanisms. Annu Rev Phys Chem, 72, 375-397(2021).
[27] S Han, Y Li, G Wen, et al. Study on thermophoretic deposition of micron-sized aerosol particles by direct numerical simulation and experiments. Ecotoxicol Environ Saf, 233, 113316(2022).
[28] D Maro, O Connan, J P Flori, et al. Aerosol dry deposition in the urban environment: Assessment of deposition velocity on building facades. Journal of Aerosol Science, 69, 113-131(2014).
[29] Lin Guanming, Cai Xuhui, Hu Min, et al. An overview of atmospheric aerosol dry deposition[J]. China Environmental Science, 2018, 38(9): 32113220. (in Chinese)
[30] S M Mohan. An overview of particulate dry deposition: measuring methods, deposition velocity and controlling factors. International Journal of Environmental Science and Technology, 13, 387-402(2015).
[31] Y Li, W Gu, D Wang, et al. Direct numerical simulation of polydisperse aerosol particles deposition in low Reynolds number turbulent flow. Annals of Nuclear Energy, 121, 223-231(2018).
[32] Baokun Huang, Yihua Hu, Youlin Gu, et al. Aerodynamic property of artificial biological extinction material. Infrared and Laser Engineering, 47, 0204005(2018).
[33] A Y Tai, L A Chen, X Wang, et al. Atmospheric deposition of particles at a sensitive alpine lake: Size-segregated daily and annual fluxes from passive sampling techniques. Sci Total Environ, 579, 1736-1744(2017).
[34] D M Chate, P S P Rao, M S Naik, et al. Scavenging of aerosols and their chemical species by rain. Atmospheric Environment, 37, 2477-2484(2003).
[35] G Santachiara, F Prodi, F Belosi. Atmospheric aerosol scavenging processes and the role of thermo- and diffusio-phoretic forces. Atmospheric Research, 128, 46-56(2013).
[36] T Olszowski. Concentration changes of PM10 under liquid precipitation conditions. Ecological Chemistry and Engineering S, 22, 363-378(2015).
[37] H Zhao, C Zheng. Monte Carlo solution of wet removal of aerosols by precipitation. Atmospheric Environment, 40, 1510-1525(2006).
[38] D M Chate, T S Pranesha. Field studies of scavenging of aerosols by rain events. Journal of Aerosol Science, 35, 695-706(2004).
[39] N Almohammed, F Alobaid, M Breuer, et al. A comparative study on the influence of the gas flow rate on the hydrodynamics of a gas–solid spouted fluidized bed using Euler–Euler and Euler–Lagrange/DEM models. Powder Technology, 264, 343-364(2014).
[40] T Foken. 50 Years of the Monin–Obukhov similarity theory. Boundary-Layer Meteorology, 119, 431-447(2006).
[41] T T Tsang, P Pai, N V Korgaonkar. Effect of temperature, atmospheric condition, and particle size on extinction in a plume of volatile aerosol dispersed in the atmospheric surface layer. Appl Opt, 27, 593-598(1988).
[42] Jia W, Zhang X, Zhang H, et al. Application of turbulent diffusion term of aerosols in mesoscale model[J]. Geophysical Research Letters, 2021, 48(11): 093199.
[43] Le Li, Yihua Hu, Xiao Wang, et al. Diffusion characteristics of biological extinction material. Infrared and Laser Engineering, 46, 0621001(2017).
[44] S Mao, J Lang, T Chen, et al. Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions. Atmospheric Environment, 224, 117317(2020).
[45] G Pandey, M Sharan. Performance evaluation of dispersion parameterization schemes in the plume simulation of FFT-07 diffusion experiment. Atmospheric Environment, 172, 32-46(2018).
[46] K S M Essa, M Embaby. New formulations of eddy diffusivity for solution of diffusion equation in a convective boundary layer. Atmospheric Research, 85, 77-83(2007).
[47] G V Kuznetsov, N V Korovina, I K Zharova, et al. Diffusion coefficient when fine aerosol media propagate in a confined volume. EPJ Web of Conferences, 110, 01029(2016).
[48] Yun Jiang, Wei Li, Weiwei Song, et al. Calculating the transmission rate of electromagnetic wave along any light-path in smoke diffusion model. Laser & Infrared, 51, 95-99(2021).
[49] Youjin He, Yuan Lv, Wei Tan. Research on smoke simulation with fractional brownian motion. Infrared Technology, 30, 660-663(2008).
[50] C G Zhu, C X Lü, J Wang. Evaluation of aerosol fire extinguishing agent using a simple diffusion model. Mathematical Problems in Engineering, 2012, 587-612(2012).
[51] Fujian Ma. A gaussian plume diffussion-deposition modle. Journal of the Meteorological Sciences, 59-67(1986).
[52] Qing Gu, Xinxing Yang, Yunsheng Li. Calculating method for area source model of particulates. Strategic Study of CAE, 41-44(2005).
[53] Dujuan Sun, Yihua Hu, Le Li. Numerical simulation of aerosol sedimentation and diffusion. Infrared and Laser Engineering, 43, 449-453(2014).
[54] Leelőssy Á, Mona T, Mészáros R, et al. Eulerian Lagrangian approaches f modelling of air quality [C]Mathematical Problems in Meteological Modelling. Mathematics in Industry, 2016, 24: 7385.
[55] Xuanyu Wang, Wenjie Dong, Minhui Pang, et al. Granular characteristics and infrared extinction coefficients of graphite aerosol. Procedia Engineering, 102, 1238-1244(2015).
[56] W G N Slinn. Prediction for particle deposition to vegetative canopies. Atmospheric Environment, 16, 1785-1794(1982).
[57] L Zhang, S Gong, J Padro, et al. A size-segregated particle dry deposition scheme for an atmospheric aerosol module. Atmospheric Environment, 35, 549-560(2001).
[58] J Zhang, Y Shao. A new parameterization of particle dry deposition over rough surfaces. Atmospheric Chemistry and Physics, 14, 12429-12440(2014).
[59] A Petroff, L Zhang. Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models. Geoscientific Model Development, 3, 753-769(2010).
[60] A Leelossy, I Lagzi, A Kovacs, et al. A review of numerical models to predict the atmospheric dispersion of radionuclides. J Environ Radioact, 182, 20-33(2018).
[61] B Cao, W Cui, C Chen, et al. Development and uncertainty analysis of radionuclide atmospheric dispersion modeling codes based on Gaussian plume model. Energy, 194, 116925(2020).
[62] Haq A Ul, Q Nadeem, A Farooq, et al. Assessment of Lagrangian particle dispersion model "LAPMOD" through short range field tracer test in complex terrain. Journal of Environmental Radioactivity, 205, 34-41(2019).
[63] R Meszaros, A Leelossy, T Kovacs, et al. Predictability of the dispersion of Fukushima-derived radionuclides and their homogenization in the atmosphere. Sci Rep, 6, 19915(2016).
[64] A K Luhar. Analytical puff modelling of light-wind dispersion in stable and unstable conditions. Atmospheric Environment, 45, 357-368(2011).
[65] Xun Sun, Xuanyu Wang, Xian Wang, et al. Random-walk smokescreen simulation model of real-time correction. Journal of System Simulation, 28, 1979-1984(2016).
[66] Jacob J, Merlier L, Marlow F, et al. Lattice Boltzmann methodbased simulations of pollutant dispersion urban physics[J]. Atmosphere, 2021, 12(7): 833.
[67] F Flores, R Garreaud, R C Muñoz. CFD simulations of turbulent buoyant atmospheric flows over complex geometry: Solver development in OpenFOAM. Computers & Fluids, 82, 1-13(2013).
[68] Y Xu, Q Yu, Y Zhang, et al. Numerical study on the plume behavior of multiple stacks of container ships. Atmosphere, 12, 600(2021).
[69] Kaitao Xiao, Lucheng Xu, Honghui Li. Implement of particle system in complexwind field and turbulence field. Journal of Beijing Jiaotong University, 39, 13-21(2015).
[70] Fan He, Kaikai He, Dong Huang, et al. Analysis of the effect of wind on smoke spread properties of a type explosive tear-gas grenade. Journal of Ordnance Engineering College, 28, 25-29(2016).
[71] J Wang, Q Huo, T Zhang, et al. Performance evaluation for a coupled push–pull ventilation and air curtain system to restrict pollutant dispersion in a factory building. Journal of Building Engineering, 43, 103164(2021).
[72] Xia Yuting. A comparative study of air pollutant diffusion models based on OpenFOAM [D]. Hengyang: University of South China, 2021. (in Chinese)
[73] Q Yang, P Zhao, H Ge. reactingFoam-SCI: An open source CFD platform for reacting flow simulation. Computers & Fluids, 190, 114-127(2019).
[74] P W Longest, J Xi. Effectiveness of direct Lagrangian tracking models for simulating nanoparticle deposition in the upper airways. Aerosol Science and Technology, 41, 380-397(2007).
[75] C Chen, B Zhao. A modified Brownian force for ultrafine particle penetration through building crack modeling. Atmospheric Environment, 170, 143-148(2017).
[76] Meier J, Wehner B, Massling A, et al. Hygroscopic growth of urban aerosol particles in Beijing (China) during wintertime: A comparison of three experimental methods[J]. Atmospheric Chemistry Physics, 2009, 9(18): 68656880.
[77] Zhibao Dong, Guangqiang Qian, Wanyin Luo, et al. Measuring the velocity of particles in an aeolian saltation cloud: A comparison of several commonly used methods. Journal of Desert Research, 30, 749-757(2010).
[78] S N Lyman, M S Gustin, E M Prestbo, et al. Testing and application of surrogate surfaces for understanding potential gaseous oxidized mercury dry deposition. Environmental Science and Technology, 43, 6235-6241(2009).
[79] S C Pryor, S E Larsen, L L Sorensen, et al. Particle fluxes above forests: observations, methodological considerations and method comparisons. Environ Pollut, 152, 667-78(2008).
[80] S C Pryor, S E Larsen, L L Sørensen, et al. Particle fluxes over forests: Analyses of flux methods and functional dependencies. Journal of Geophysical Research, 112, D07205(2007).
[81] A Lavi, D K Farmer, E Segre, et al. Fluxes of fine particles over a semi-arid pine forest: Possible effects of a complex terrain. Aerosol Science and Technology, 47, 906-915(2013).
[82] L Ahlm, R Krejci, E D Nilsson, et al. Emission and dry deposition of accumulation mode particles in the Amazon Basin. Atmospheric Chemistry and Physics, 10, 10237-10253(2010).
[83] D K Farmer, J R Kimmel, G Phillips, et al. Eddy covariance measurements with high-resolution time-of-flight aerosol mass spectrometry: A new approach to chemically resolved aerosol fluxes. Atmospheric Measurement Techniques, 4, 1275-1289(2011).
[84] J Y Wang, Q H Meng, B Luo, et al. A multiple-fan active control wind tunnel for outdoor wind speed and direction simulation. Rev Sci Instrum, 89, 035108(2018).
[85] Qinghai Liu, Haifeng Liu, Xiaodong Dai, et al. Infrared interfering performance of graphene smoke screen. Infrared Technology, 41, 1071-1076(2019).
[86] P Roupsard, M Amielh, D Maro, et al. Measurement in a wind tunnel of dry deposition velocities of submicron aerosol with associated turbulence onto rough and smooth urban surfaces. Journal of Aerosol Science, 55, 12-24(2013).
[87] P Yang, Z Dong, G Qian, et al. Height profile of the mean velocity of an aeolian saltating cloud: Wind tunnel measurements by particle image velocimetry. Geomorphology, 89, 320-334(2007).
[88] A Petroff, J G Murphy, S C Thomas, et al. Size-resolved aerosol fluxes above a temperate broadleaf forest. Atmospheric Environment, 190, 359-375(2018).
[89] G Pellerin, D Maro, P Damay, et al. Aerosol particle dry deposition velocity above natural surfaces: Quantification according to the particles diameter. Journal of Aerosol Science, 114, 107-117(2017).
[90] T Grönholm, P P Aalto, V J Hiltunen, et al. Measurements of aerosol particle dry deposition velocity using the relaxed eddy accumulation technique. Tellus B: Chemical and Physical Meteorology, 59, 381-386(2007).
