[1] |
Fröhlich-Nowoisky J, Kampf C J, Weber B, et al. Bioaerosols in the Earth system: Climate, health, and ecosystem interactions [J]. Atmospheric Research, 2016, 182: 346-376. |
[2] |
Aba A, Al-Dousari A M, Ismaeel A. Depositional characteristics of 7 Be and 210 Pb in Kuwaiti dust [J]. Journal of Radio Analytical and Nuclear Chemistry, 2015, 307(1): 15-23. |
[3] |
Wang Xuanyu. Development of anti-infrared smoke material and its extinction performance (Invited) [J]. Infrared and Laser Engineering, 2020, 49(7): 20201019. (in Chinese) |
[4] |
Gu Youlin, Lu Wei, Fang Jiajie, et al. Research progress on artificially prepared infrared extinction materials and their extinction properties (Invited) [J]. Infrared and Laser Engineering, 2020, 49(7): 20201018. (in Chinese) |
[5] |
Jiang Yun, Dai Xiaodong, Liu Qinghai, et al. Improving flowability and floodability of ultrafine powder smoke agent [J]. China Powder Science and Technology, 2019, 25(5): 33-38. (in Chinese) |
[6] |
Ren Haoliang, Zhang Jianchao, Cheng Huichuan. Effects of jet conditions on aerosol smoke distribution [J]. Science Technology and Engineering, 2021, 21(16): 6746-6751. (in Chinese) |
[7] |
Liu Guosheng, Guan Hua, Song Dongming, et al. Application of DSMC method to study the impact diffusion characteristics of smoke particles [J]. Acta Aerodynamica Sinica, 2014, 32(3): 395-399. (in Chinese) |
[8] |
Liu Zhilong, Wang Xuanyu, Yao Weizhao, et al. Experimental study on explosive dispersion characteristics and variation laws of cloud parameters of short carbon fibers [J]. Chinese Journal of Energetic Materials, 2019, 27(9): 773-778. (in Chinese) |
[9] |
Guo Aiqiang, Gao Xinbao, Li Tianpeng, et al. Five-frame difference method for extracting characteristic parameters from measured infrared smoke screen Images [J]. Chinese Journal of Energetic Materials, 2021, 29(12): 1144-1151. (in Chinese) |
[10] |
Chen Hao, Gao Xinbao, Li Tianpeng, et al. Numerical simulation of maximum radius of initial cloud cluster of smoke screen [J]. Chinese Journal of Energetic Materials, 2018, 26(10): 820-827. (in Chinese) |
[11] |
Liu Qinghai, Zhao Wenbo, Peng Wenlian, et al. Component analysis of smokescreen combusting from a smoke agent [J]. China Measurement & Test, 2020, 46(9): 59-63. (in Chinese) |
[12] |
Bao Shi, Zhou Ye, Zhang Zihao, et al. Research on infrared smoke obscuring performance of burnable carbon black [J]. Electro-optic Technology Application, 2013, 28(5): 85-88. (in Chinese) |
[13] |
Zhang Shuai, Fu Debin, Zhu Xijuan. Simulation of smoke bomb particle generation and diffusion state based on combined method [J]. Journal of Ordnance Equipment Engineering, 2020, 41(1): 33-37. (in Chinese) |
[14] |
Issakhov A, Mashenkova A. Numerical study for the assessment of pollutant dispersion from a thermal power plant under the different temperature regimes [J]. International Journal of Environmental Science and Technology, 2019, 16(10): 6089-6112. |
[15] |
Chen L, Peng S, Liu J, et al. Dry deposition velocity of total suspended particles and meteorological influence in four locations in Guangzhou, China [J]. Journal of Environmental Sciences, 2012, 24(4): 632-639. |
[16] |
Jeong S J, Kim A R. CFD study on the influence of atmospheric stability on near-field pollutant dispersion from rooftop emissions [J]. Asian Journal of Atmospheric Environment, 2018, 12(1): 47-58. |
[17] |
Bazdidi-Tehrani F, Gholamalipour P, Kiamansouri M, 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 [J]. Journal of Building Performance Simulation, 2018, 12(1): 97-116. |
[18] |
Guo D, Zhao P, Wang R, et al. Numerical simulations of the flow field and pollutant dispersion in an idealized urban area under different atmospheric stability conditions [J]. Process Safety and Environmental Protection, 2020, 136: 310-323. |
[19] |
Yu Xiaomeng, Cao Le, Yan Jiade, et al. A simulation of atmospheric pollution based on multi-phase particle-in-cell method [J]. Science Technology and Engineering, 2020, 20(14): 5856-5863. (in Chinese) |
[20] |
Sofiev M, Sofieva V, Elperin T, et al. Turbulent diffusion and turbulent thermal diffusion of aerosols in stratified atmospheric flows[J]. Journal of Geophysical Research, 2009, 114: D18. |
[21] |
Xu Lucheng, Xiao Kaitao. CFD-based study on countermeasure performance of anti-infrared smoke screen [J]. Infrared Technology, 2015, 37(4): 337-341. (in Chinese) |
[22] |
Yue D L, Hu M, Wu Z J, 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 [J]. Atmospheric Chemistry and Physics, 2010, 10(19): 9431-9439. |
[23] |
Li C, Wang H, Yu C W, et al. Diffusion characteristics of the industrial submicron particle under Brownian motion and turbulent diffusion [J]. Indoor and Built Environment, 2021, 31(1): 17-30. |
[24] |
Chen Xi, Hu Yihua, Gu Youlin, et al. Atmospheric suspension settling characteristics of biological extinction material [J]. Infrared and Laser Engineering, 2019, 48(5): 0521003. (in Chinese) |
[25] |
Price T A, Stoll R, Veranth J M, et al. A wind-tunnel study of the effect of turbulence on PM10 deposition onto vegetation [J]. Atmospheric Environment, 2017, 159: 117-125. |
[26] |
Farmer D K, Boedicker E K, Debolt H M. Dry deposition of atmospheric aerosols: Approaches, observations, and mechanisms [J]. Annu Rev Phys Chem, 2021, 72: 375-397. |
[27] |
Han S, Li Y, Wen G, et al. Study on thermophoretic deposition of micron-sized aerosol particles by direct numerical simulation and experiments [J]. Ecotoxicol Environ Saf, 2022, 233: 113316. |
[28] |
Maro D, Connan O, Flori J P, et al. Aerosol dry deposition in the urban environment: Assessment of deposition velocity on building facades [J]. Journal of Aerosol Science, 2014, 69: 113-131. |
[29] |
Lin Guanming, Cai Xuhui, Hu Min, et al. An overview of atmospheric aerosol dry deposition[J]. China Environmental Science, 2018, 38(9): 3211-3220. (in Chinese) |
[30] |
Mohan S M. An overview of particulate dry deposition: measuring methods, deposition velocity and controlling factors [J]. International Journal of Environmental Science and Technology, 2015, 13(1): 387-402. |
[31] |
Li Y, Gu W, Wang D, et al. Direct numerical simulation of polydisperse aerosol particles deposition in low Reynolds number turbulent flow [J]. Annals of Nuclear Energy, 2018, 121: 223-231. |
[32] |
Huang Baokun, Hu Yihua, Gu Youlin, et al. Aerodynamic property of artificial biological extinction material [J]. Infrared and Laser Engineering, 2018, 47(2): 0204005. (in Chinese) |
[33] |
Tai A Y, Chen L A, Wang X, et al. Atmospheric deposition of particles at a sensitive alpine lake: Size-segregated daily and annual fluxes from passive sampling techniques [J]. Sci Total Environ, 2017, 579: 1736-1744. |
[34] |
Chate D M, Rao P S P, Naik M S, et al. Scavenging of aerosols and their chemical species by rain [J]. Atmospheric Environment, 2003, 37(18): 2477-2484. |
[35] |
Santachiara G, Prodi F, Belosi F. Atmospheric aerosol scavenging processes and the role of thermo- and diffusio-phoretic forces [J]. Atmospheric Research, 2013, 128: 46-56. |
[36] |
Olszowski T. Concentration changes of PM10 under liquid precipitation conditions [J]. Ecological Chemistry and Engineering S, 2015, 22(3): 363-378. |
[37] |
Zhao H, Zheng C. Monte Carlo solution of wet removal of aerosols by precipitation [J]. Atmospheric Environment, 2006, 40(8): 1510-1525. |
[38] |
Chate D M, Pranesha T S. Field studies of scavenging of aerosols by rain events [J]. Journal of Aerosol Science, 2004, 35(6): 695-706. |
[39] |
Almohammed N, Alobaid F, Breuer M, 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 [J]. Powder Technology, 2014, 264: 343-364. |
[40] |
Foken T. 50 Years of the Monin–Obukhov similarity theory [J]. Boundary-Layer Meteorology, 2006, 119(3): 431-447. |
[41] |
Tsang T T, Pai P, Korgaonkar N V. Effect of temperature, atmospheric condition, and particle size on extinction in a plume of volatile aerosol dispersed in the atmospheric surface layer [J]. Appl Opt, 1988, 27(3): 593-598. |
[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] |
Li Le, Hu Yihua, Wang Xiao, et al. Diffusion characteristics of biological extinction material [J]. Infrared and Laser Engineering, 2017, 46(6): 0621001. (in Chinese) |
[44] |
Mao S, Lang J, Chen T, et al. Comparison of the impacts of empirical power-law dispersion schemes on simulations of pollutant dispersion during different atmospheric conditions [J]. Atmospheric Environment, 2020, 224: 117317. |
[45] |
Pandey G, Sharan M. Performance evaluation of dispersion parameterization schemes in the plume simulation of FFT-07 diffusion experiment [J]. Atmospheric Environment, 2018, 172: 32-46. |
[46] |
Essa K S M, Embaby M. New formulations of eddy diffusivity for solution of diffusion equation in a convective boundary layer [J]. Atmospheric Research, 2007, 85(1): 77-83. |
[47] |
Kuznetsov G V, Korovina N V, Zharova I K, et al. Diffusion coefficient when fine aerosol media propagate in a confined volume [J]. EPJ Web of Conferences, 2016, 110: 01029. |
[48] |
Jiang Yun, Li Wei, Song Weiwei, et al. Calculating the transmission rate of electromagnetic wave along any light-path in smoke diffusion model [J]. Laser & Infrared, 2021, 51(1): 95-99. (in Chinese) |
[49] |
He Youjin, Lv Yuan, Tan Wei. Research on smoke simulation with fractional brownian motion [J]. Infrared Technology, 2008, 30(11): 660-663. (in Chinese) |
[50] |
Zhu C G, Lü C X, Wang J. Evaluation of aerosol fire extinguishing agent using a simple diffusion model [J]. Mathematical Problems in Engineering, 2012, 2012(10): 587-612. |
[51] |
Ma Fujian. A gaussian plume diffussion-deposition modle [J]. Journal of the Meteorological Sciences, 1986(2): 59-67. (in Chinese) |
[52] |
Gu Qing, Yang Xinxing, Li Yunsheng. Calculating method for area source model of particulates [J]. Strategic Study of CAE, 2005(1): 41-44. (in Chinese) |
[53] |
Sun Dujuan, Hu Yihua, Li Le. Numerical simulation of aerosol sedimentation and diffusion [J]. Infrared and Laser Engineering, 2014, 43(2): 449-453. (in Chinese) |
[54] |
Leelőssy Á, Mona T, Mészáros R, et al. Eulerian and Lagrangian approaches for modelling of air quality [C]//Mathematical Problems in Meteorological Modelling. Mathematics in Industry, 2016, 24: 73-85. |
[55] |
Wang Xuanyu, Dong Wenjie, Pang Minhui, et al. Granular characteristics and infrared extinction coefficients of graphite aerosol [J]. Procedia Engineering, 2015, 102: 1238-1244. |
[56] |
Slinn W G N. Prediction for particle deposition to vegetative canopies [J]. Atmospheric Environment, 1982, 16(3): 1785-1794. |
[57] |
Zhang L, Gong S, Padro J, et al. A size-segregated particle dry deposition scheme for an atmospheric aerosol module [J]. Atmospheric Environment, 2001, 35(3): 549-560. |
[58] |
Zhang J, Shao Y. A new parameterization of particle dry deposition over rough surfaces [J]. Atmospheric Chemistry and Physics, 2014, 14(22): 12429-12440. |
[59] |
Petroff A, Zhang L. Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models [J]. Geoscientific Model Development, 2010, 3(2): 753-769. |
[60] |
Leelossy A, Lagzi I, Kovacs A, et al. A review of numerical models to predict the atmospheric dispersion of radionuclides [J]. J Environ Radioact, 2018, 182: 20-33. |
[61] |
Cao B, Cui W, Chen C, et al. Development and uncertainty analysis of radionuclide atmospheric dispersion modeling codes based on Gaussian plume model [J]. Energy, 2020, 194: 116925. |
[62] |
Ul Haq A, Nadeem Q, Farooq A, et al. Assessment of Lagrangian particle dispersion model "LAPMOD" through short range field tracer test in complex terrain [J]. Journal of Environmental Radioactivity, 2019, 205: 34-41. |
[63] |
Meszaros R, Leelossy A, Kovacs T, et al. Predictability of the dispersion of Fukushima-derived radionuclides and their homogenization in the atmosphere [J]. Sci Rep, 2016, 6: 19915. |
[64] |
Luhar A K. Analytical puff modelling of light-wind dispersion in stable and unstable conditions [J]. Atmospheric Environment, 2011, 45(2): 357-368. |
[65] |
Sun Xun, Wang Xuanyu, Wang Xian, et al. Random-walk smokescreen simulation model of real-time correction [J]. Journal of System Simulation, 2016, 28(9): 1979-1984. (in Chinese) |
[66] |
Jacob J, Merlier L, Marlow F, et al. Lattice Boltzmann method-based simulations of pollutant dispersion and urban physics[J]. Atmosphere, 2021, 12(7): 833. |
[67] |
Flores F, Garreaud R, Muñoz R C. CFD simulations of turbulent buoyant atmospheric flows over complex geometry: Solver development in OpenFOAM [J]. Computers & Fluids, 2013, 82: 1-13. |
[68] |
Xu Y, Yu Q, Zhang Y, et al. Numerical study on the plume behavior of multiple stacks of container ships [J]. Atmosphere, 2021, 12(5): 600. |
[69] |
Xiao Kaitao, Xu Lucheng, Li Honghui. Implement of particle system in complexwind field and turbulence field [J]. Journal of Beijing Jiaotong University, 2015, 39(2): 13-21. (in Chinese) |
[70] |
He Fan, He Kaikai, Huang Dong, et al. Analysis of the effect of wind on smoke spread properties of a type explosive tear-gas grenade [J]. Journal of Ordnance Engineering College, 2016, 28(5): 25-29. (in Chinese) |
[71] |
Wang J, Huo Q, Zhang T, et al. Performance evaluation for a coupled push–pull ventilation and air curtain system to restrict pollutant dispersion in a factory building [J]. Journal of Building Engineering, 2021, 43: 103164. |
[72] |
Xia Yuting. A comparative study of air pollutant diffusion models based on OpenFOAM [D]. Hengyang: University of South China, 2021. (in Chinese) |
[73] |
Yang Q, Zhao P, Ge H. reactingFoam-SCI: An open source CFD platform for reacting flow simulation [J]. Computers & Fluids, 2019, 190: 114-127. |
[74] |
Longest P W, Xi J. Effectiveness of direct Lagrangian tracking models for simulating nanoparticle deposition in the upper airways [J]. Aerosol Science and Technology, 2007, 41(4): 380-397. |
[75] |
Chen C, Zhao B. A modified Brownian force for ultrafine particle penetration through building crack modeling [J]. Atmospheric Environment, 2017, 170: 143-148. |
[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 and Physics, 2009, 9(18): 6865-6880. |
[77] |
Dong Zhibao, Qian Guangqiang, Luo Wanyin, et al. Measuring the velocity of particles in an aeolian saltation cloud: A comparison of several commonly used methods [J]. Journal of Desert Research, 2010, 30(4): 749-757. (in Chinese) |
[78] |
Lyman S N, Gustin M S, Prestbo E M, et al. Testing and application of surrogate surfaces for understanding potential gaseous oxidized mercury dry deposition [J]. Environmental Science and Technology, 2009, 43(16): 6235-6241. |
[79] |
Pryor S C, Larsen S E, Sorensen L L, et al. Particle fluxes above forests: observations, methodological considerations and method comparisons [J]. Environ Pollut, 2008, 152(3): 667-78. |
[80] |
Pryor S C, Larsen S E, Sørensen L L, et al. Particle fluxes over forests: Analyses of flux methods and functional dependencies [J]. Journal of Geophysical Research, 2007, 112(D7): D07205. |
[81] |
Lavi A, Farmer D K, Segre E, et al. Fluxes of fine particles over a semi-arid pine forest: Possible effects of a complex terrain [J]. Aerosol Science and Technology, 2013, 47(8): 906-915. |
[82] |
Ahlm L, Krejci R, Nilsson E D, et al. Emission and dry deposition of accumulation mode particles in the Amazon Basin [J]. Atmospheric Chemistry and Physics, 2010, 10(21): 10237-10253. |
[83] |
Farmer D K, Kimmel J R, Phillips G, et al. Eddy covariance measurements with high-resolution time-of-flight aerosol mass spectrometry: A new approach to chemically resolved aerosol fluxes [J]. Atmospheric Measurement Techniques, 2011, 4(6): 1275-1289. |
[84] |
Wang J Y, Meng Q H, Luo B, et al. A multiple-fan active control wind tunnel for outdoor wind speed and direction simulation [J]. Rev Sci Instrum, 2018, 89(3): 035108. |
[85] |
Liu Qinghai, Liu Haifeng, Dai Xiaodong, et al. Infrared interfering performance of graphene smoke screen [J]. Infrared Technology, 2019, 41(11): 1071-1076. (in Chinese) |
[86] |
Roupsard P, Amielh M, Maro D, et al. Measurement in a wind tunnel of dry deposition velocities of submicron aerosol with associated turbulence onto rough and smooth urban surfaces [J]. Journal of Aerosol Science, 2013, 55: 12-24. |
[87] |
Yang P, Dong Z, Qian G, et al. Height profile of the mean velocity of an aeolian saltating cloud: Wind tunnel measurements by particle image velocimetry [J]. Geomorphology, 2007, 89(3-4): 320-334. |
[88] |
Petroff A, Murphy J G, Thomas S C, et al. Size-resolved aerosol fluxes above a temperate broadleaf forest [J]. Atmospheric Environment, 2018, 190: 359-375. |
[89] |
Pellerin G, Maro D, Damay P, et al. Aerosol particle dry deposition velocity above natural surfaces: Quantification according to the particles diameter [J]. Journal of Aerosol Science, 2017, 114: 107-117. |
[90] |
Grönholm T, Aalto P P, Hiltunen V J, et al. Measurements of aerosol particle dry deposition velocity using the relaxed eddy accumulation technique [J]. Tellus B: Chemical and Physical Meteorology, 2007, 59(3): 381-386. |