Atmospheric humidity and particle charging state on agglomeration of aerosol particles

Abstract Formation of haze is a phenomenon dependent on the relative atmospheric humidity and concentration of aerosol particles. The physical and chemical reactions on particle surfaces would lead to variations in particle sizes. This paper focuses on the physical behaviour of aerosol particles under the influence of atmospheric humidity, which produces liquid bridging forces and electrostatic interactions among particles. By water absorption experiment, a correlation between relative humidity (RH) and water content on particles was obtained. Through theoretical derivation, a relationship between the relative humidity and humidity ratio was established for calculating liquid bridging forces. The findings from experiments on atmospheric particles charging, showed most aerosols were negatively or positively charged and the average charges on these particles was more than one. An extended soft-sphere discrete element method (DEM) was used to simulate the evolution of aerosol particles, encapsulated in water vapour by considering liquid bridging forces, electrostatic interactions and Brownian forces. Results suggest that the agglomeration rate of particles would increase with a rise in the atmospheric humidity due to the increased liquid bridging forces that enhance the agglomeration velocity. The higher humidity would enhance the ionization on particle surfaces, which could affect electrostatic interactions. This paper provides an insight of a mechanism for formation of haze in atmosphere.

[1]  E. R. Jayaratne,et al.  Charging state of aerosols during particle formation events in an urban environment and its implications for ion-induced nucleation , 2016 .

[2]  M. Klass,et al.  Non-ageing developmental variant of Caenorhabditis elegans , 1976, Nature.

[3]  Chungang Chen,et al.  Coupling Eulerian‐Lagrangian method of air‐particle two‐phase flow with population balance equations to simulate the evolution of vehicle exhaust plume , 2018, International Journal for Numerical Methods in Fluids.

[4]  Robert J. Charlson,et al.  A Study of the Relationship of Chemical Composition and Humidity to Light Scattering by Aerosols , 1972 .

[5]  Zhengqiang Li,et al.  Observations of residual submicron fine aerosol particles related to cloud and fog processing during a major pollution event in Beijing , 2014 .

[6]  W. Malm,et al.  Estimates of aerosol species scattering characteristics as a function of relative humidity , 2001 .

[7]  R. Saykally,et al.  Evidence for an enhanced hydronium concentration at the liquid water surface. , 2005, The journal of physical chemistry. B.

[8]  Til Stürmer,et al.  Flexible matching strategies to increase power and efficiency to detect and estimate gene-environment interactions in case-control studies. , 2002, American journal of epidemiology.

[9]  Yan Cheng,et al.  Surface charges on aerosol particles – Accelerating particle growth rate and atmospheric pollution , 2016 .

[10]  Hongliang Zhang,et al.  Year-long simulation of gaseous and particulate air pollutants in India , 2018 .

[11]  B. J. Mason,et al.  Electric charge transfer associated with temperature gradients in ice , 1961, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[12]  Qiang Zhang,et al.  Severe Pollution in China Amplified by Atmospheric Moisture , 2017, Scientific Reports.

[13]  Yifang Zhu,et al.  Assessing and reducing fine and ultrafine particles inside Los Angeles taxis , 2018 .

[14]  M. Matthewson Adhesion of spheres by thin liquid films , 1988 .

[15]  C. Chan,et al.  Air pollution in mega cities in China , 2008 .

[16]  S. Carless,et al.  Cohesion : Conceptual and measurement issues. Author's reply , 2000 .

[17]  Xiaoye Zhang,et al.  Characterization of submicron aerosols and effect on visibility during a severe haze-fog episode in Yangtze River Delta, China , 2015 .

[18]  I. Tang Thermodynamic and optical properties of mixed‐salt aerosols of atmospheric importance , 1997 .

[19]  Z. Gu,et al.  Electrification of particulate entrained fluid flows—Mechanisms, applications, and numerical methodology , 2015 .

[20]  Lev S. Tsimring,et al.  Patterns and collective behavior in granular media: Theoretical concepts , 2006 .

[21]  Xuemei Wang,et al.  Particle number concentration, size distribution and chemical composition during haze and photochemical smog episodes in Shanghai. , 2014, Journal of environmental sciences.

[22]  Lucas Alados-Arboledas,et al.  Effect of hygroscopic growth on the aerosol light-scattering coefficient: A review of measurements, techniques and error sources , 2016 .

[23]  Goodarz Ahmadi,et al.  PARTICLE DEPOSITION IN A NEARLY DEVELOPED TURBULENT DUCT FLOW WITH ELECTROPHORESIS , 1999 .

[24]  Z. Gu,et al.  The role of water content in triboelectric charging of wind-blown sand , 2013, Scientific Reports.

[25]  Yufen Zhang,et al.  Estimation of the Main Factors Influencing Haze, Based on a Long-term Monitoring Campaign in Hangzhou, China , 2011 .

[26]  Arthur F. Diaz,et al.  Effect of surface moisture on contact charge of polymers containing ions , 1994 .

[27]  D. Maugis Adherence of Elastomers: Fracture Mechanics Aspectst , 1987 .

[28]  J. S. Marshall,et al.  Discrete-element modeling of particulate aerosol flows , 2009, J. Comput. Phys..

[29]  Yan Zhou,et al.  Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach , 2016 .

[30]  C. Brühl,et al.  Inverse Modelling of European N2O Emissions: Assimilating Observations from Different Networks , 2010 .

[31]  E. R. Jayaratne,et al.  Characteristics of airborne ultrafine and coarse particles during the Australian dust storm of 23 September 2009 , 2011 .

[32]  Thorsten Pöschel,et al.  Collision dynamics of granular particles with adhesion. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Xin Yang,et al.  Influence of fine particulate matter on atmospheric visibility , 2013 .

[34]  X. Chateau,et al.  Liquid Bridge between Two Moving Spheres: An Experimental Study of Viscosity Effects. , 2000, Journal of colloid and interface science.

[35]  Qiang Yao,et al.  Adhesive particulate flow: The discrete-element method and its application in energy and environmental engineering , 2011 .

[36]  Chunsheng Zhao,et al.  Hygroscopic properties of aerosol particles at high relative humidity and their diurnal variations in the North China Plain , 2011 .

[37]  X. Chateau,et al.  Rupture energy of a pendular liquid bridge , 2001 .

[38]  Hsiaotao Bi,et al.  Measurement of particle charge-to-mass ratios in a gas–solids fluidized bed by a collision probe , 2003 .

[39]  Longyi Shao,et al.  A comparison study on airborne particles during haze days and non-haze days in Beijing. , 2013, The Science of the total environment.

[40]  Chunsheng Zhao,et al.  A new method to determine the mixing state of light absorbing carbonaceous using the measured aerosol optical properties and number size distributions , 2011 .

[41]  S. Bauer,et al.  Black carbon absorption at the global scale is affected by particle-scale diversity in composition , 2016, Nature Communications.

[42]  Yihui Ding,et al.  Analysis of long-term variations of fog and haze in China in recent 50 years and their relations with atmospheric humidity , 2013, Science China Earth Sciences.

[43]  U. Pöschl,et al.  Size dependence of phase transitions in aerosol nanoparticles , 2015, Nature Communications.