蒙特卡洛方法数值研究大气颗粒物动力学效应和辐射传输性质

丁珏; 李家骅; 邱骁; 翁培奋

doi:10.6052/0459-1879-15-118

蒙特卡洛方法数值研究大气颗粒物动力学效应和辐射传输性质

doi: 10.6052/0459-1879-15-118

上海大学上海市应用数学和力学研究所, 上海 200072

基金项目: 国家自然科学基金资助项目(11472167).

详细信息

通讯作者:
丁珏,副研究员,博士,主要从事环境力学研究.E-mail:dingjuelu@shu.edu.cn

中图分类号: O363
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出版历程
- 收稿日期: 2015-04-08
- 修回日期: 2016-01-19
- 刊出日期: 2016-05-18

NUMERICAL STUDY ON DYNAMICS EFFECT AND RADIATION TRANSFER CHARACTERISTICS OF ATMOSPHERIC PARTICLE BY MONTE CARLO METHOD

Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China

摘要

摘要: 爆发性增强的雾天,空气污染严重能见度低,这与大气边界层湍流性质、悬浮颗粒的动力学及散射性质密切相关.文中基于颗粒群平衡方程和Mie理论,采取加权蒙特卡洛方法,自行开发了Fortran程序.文中计算所得的颗粒尺度分布函数、颗粒散射性质与实验值、理论解一致,验证了数值模型和方法的正确性.此外,数值研究了雾爆发性增强阶段雾滴谱拓宽、能见度降低的机理,讨论湍流输运和颗粒局部聚集效应下颗粒间的碰并过程,并耦合颗粒散射性质,数值分析雾发展中湍流耗散率对颗粒对径向相对速度、系统透过率的影响;以及颗粒对径向相对速度与系统透过率、颗粒尺度的关系.研究结果表明:随着湍流耗散率的增大,颗粒的径向相对速度呈现先缓慢而后快速增大的变化趋势.1000s时刻,湍流的耗散率为1.0×10^-2m²/s³,颗粒径向相对速度(无量纲)为0.0969;对于0.6μm的可见光,雾环境颗粒系统的透过率为0.47.此外,雾发展中雾滴易与气溶胶碰并,系统的散射性质与水组成的雾滴系统不同,天气的能见度明显降低.
- 雾天 /
- 气溶胶 /
- 湍流耗散率 /
- 碰撞凝并 /
- 辐射传输 /
- 加权蒙特卡洛方法
Abstract: During the burst reinforcement period of fog, air pollution and low visibility are very serious, which is closely related to the turbulence characteristics of the atmospheric boundary layer, the dynamics and scattering properties of suspended particles. Based on the particle population balance equation and Mie theory, a program is self-developed. The computed particle size distribution function and particle scattering property are consistent with the experimental and theoretical data, which verify the correctness of models and numerical method. Numerical study on the mechanism of droplet spectrum broadening, visibility reducing during the fog burst-enhanced phase is conducted, and the e ects of turbulent transport and particle local aggregation on the coagulation of particles are discussed. Combining with particles scattering nature, the influence of particle turbulent dissipation rates on the radial relative velocity and the transmissivity of system in the fog development are analyzed numerically. Relation between the radial relative velocity, the transmissivity of system and the particle size are discussed. The computed results suggest that the radial relative velocity of particles increases slowly and then increases rapidly with the rise of turbulent dissipation rate. At 1 000 s, the turbulent dissipation rate is 1.0×10^-2m²/s³, and the dimensionless radial relative velocity of particle is 0.096 9. For 0.6 μm wavelength of visible light, the transmissivity of fog is 0.47. Furthermore, aerosols are coagulated with fog droplets in the development region of fog to decrease atmosphere visibility, which radiation properties are di erent from pure droplets.
- fog weather /
- aerosol /
- turbulent dissipation rate /
- collision and coagulation /
- radiation transfer /
- di erentially weighted Monte Carlo method

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参考文献(29)

1 李子华,杨军,石春娥等.地区性浓雾物理.北京: 气象出版社,2008 (Li Zihua, Yang Jun, Shi Chune, et al. Regional Dense Fog Physics.Beijing: Meteorology Press, 2008 (in Chinese))

2 Elias T, Haeffelin M, Drobinski P,et al. Particulate contribution to extinction of visible radiation: Pollution, haze, and fog. Atmospheric Research,2009,92:443-454

3 丁珏,王庆涛,刘义等. 雾环境二次气溶胶生长过程的数值研究,力学学报,2013, 45(2): 1-7 (Ding Jue, Wang Qingtao, Liu Yi, et al. Numerical study on the growth process of secondary aerosol in the fog. Chinese Journal of Theoretical and Applied Mechanics,2013,45(2): 1-7 (in Chinese))

4 Ma N, Zhao CS, Chen J, et al. A novel method for distinguishing fog and haze based on PM2.5, visibility, and relative humidity. Science China, 2014,57(9): 2156-2164

5崔桂香, 张兆顺, 许春晓等. 城市大气环境的大涡模拟研究进展. 力学进展, 2013, 43 (3): 295-328 (Cui Guixiangy, Zhang Zhaoshun, Xu Chunxiao, et al. Research advances in large eddy simulation of urban atmospheric environment. Advances in Mechanics, 2013, 43 (3): 295-328 (in Chinese))

6 刘霖蔚,牛杰生,刘端阳等. 南京冬季浓雾的演变特征及爆发性增强研究. 大气科学学报,2012, 35(1):103-112 (Liu Linwei, Niu Shengjie,Liu Duanyang,et al. Evolution characteristics and burst reinforcement of winter dense fog in Nanjing. Transactions of Atmospheric Sciences, 2012, 35(1):103-112(in Chinese))

7 Wang LG, Vigil RD, Fox RO. CFD simulation of shear-induced aggregation and breakage in turbulent Taylor-Couette flow. Journal of Colloid and Interface Science, 2005, 285(1): 167-178

8 Yu MZ, Lin JZ. Taylor-expansion moment method for agglomerate coagulation due to Brownian motion in the entire size regime. Aerosol Science, 2009 (40):549-562

9 李瑞霞,柳朝晖,贺铸等. 各向同性湍流内颗粒碰撞率的直接模拟研究. 力学学报,2006, 38(1):25-32 (Li Ruixia, Liu Zhaohui, He Zhu, et al. Direct numerical simulation of inertial particle collisions in isotropic turbulence. Chinese Journal of Theoretical and Applied Mechanics, 2006, 38(1): 25-32(in Chinese))

10 Friedlander SK. Smoke, Dust and Haze: Fundamentals of Aerosol Behavior. New York: Wiley, 1997

11 李家骅,丁珏,翁培奋. 雾层两相耦合流场及气溶胶颗粒物的动力学性质. 力学季刊,2013, 34(1):8-15 (Li Jiahua, Ding Jue,Weng Peifen. Two-phase coupled flow and aerosols dynamical characteristics in the fog layer. Quarterly Journal of Mechanics, 2013, 34(1):8-15(in Chinese))

12 Wang YM, Lin JZ. Collision efficiency of two nanoparticles with different diameters in Brownian coagulation. Applied Mathematics and Mechanics, 2011, 32(8): 1019-1028

13 赵海波, 郑楚光. 离散系统动力学演变过程的颗粒群平衡模拟. 北京: 科学出版社, 2008 (Zhao Haibo, Zheng Chuguang. Dynamics Balance Model on Evolution Process of Discrete System. Beijing: Science Press, 2008(in Chinese))

14 Park SH. Evolution of particle size distributions due to turbulent and Brownian coagulation. Aerosol Science And Technology, 2002, 36:419-432

15 Zaichik LI, Solovév AL. Collision and coagulation nuclei under conditions of brownian and turbulent motion of aerosol particles. High Temperature, 2002, 40(3): 422-427

16 Chun J, Koch DL, Rani SL, et al. Clustering of aerosol particles in isotropic turbulence. Journal of Fluid Mechanics, 2005, 536: 219-251

17 Wang LP,Wexler AS, Zhou Y. Statistical mechanical descriptions of turbulent coagulation. Phys Fluids,1998,10(10): 2647-2651

18 Mcquarrie DA. Statistical Mechanics. New York: Harper & Row Publisher, 1976

19 Mishchenko MI. Scattering Absorption and Emission of Light by Small Particles. New York: Cambridge University Press, 2002

20 Howell JR, Perlmutter M. Monte carlo solution of thermal transfer through radiant media between gray walls. Journal of Heat Transfer- Transactions of the ASME, 1964, 86(1): 116-122

21 Matthew S, Themis M. Constant-number Monte Carlo simulation of population balances. Chemical Engineering Science, 1998, 53 (9):1777-1786

22 Zhao HB, Zheng CG, Xu MH. Multi-Monte Carlo method for coagulation and condensation/evaporation in dispersed systems. Journal of Colloid and Interface Science, 2005, 286: 195-208

23 Williams MMR, Loyalka SK. Aerosol Science: Theory and Practice. New York: Pergamon Press, 1991

24 Vemury S, Kusters KA, Pratsinis SE. Time-lag for attainment of the self-preserving particle size distribution by coagulation. Journal of Colloiscience and Interface , 1994, 165(1): 53-59

25 Mishchenko MI, Travis LD, Lacis AA. Scattering, Absorption, and Emission of Light by Small Particles. Cambridge: Cambridge University. Press, 2002

26 Self SA. Optical properties of fly ash. Quarterly Report, DOE/PC/79003-T19, 1994, 12

27 丁珏,刘义,李家骅. 雾天气向霾天气转化时气溶胶颗粒物的动力学特性. 气象与环境学报, 2012, 28(2): 91-96 (Ding Jue, Liu Yi, Li Jiahua. Dynamical characteristics of aerosol particles from fog to haze weather. Journal of Meteorology and Environment, 2012,28(2): 91-96(in Chinese))

28 裴鹿成,张孝泽. 蒙特卡罗方法及其在粒子输运问题中的应用. 北京:科学出版社,1980 (Pei Lucheng, Zhang Xiaoze. Application of Monte Carlo Method in Particle Transport Problems. Beijing: Science Press,1980(in Chinese))

29 Yasmeen Z, Rasul G, Zahid M. Impact of aerosols on winter fog of Pakistan. Pakistan Journal of Meteorology, 2012, 8(16): 21-30

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