Skip to main content
Log in

Research on bimodal particle extinction coefficient during Brownian coagulation and condensation for the entire particle size regime

  • Research Paper
  • Published:
Journal of Nanoparticle Research Aims and scope Submit manuscript

Abstract

The extinction coefficient of atmospheric aerosol particles influences the earth’s radiation balance directly or indirectly, and it can be determined by the scattering and absorption characteristics of aerosol particles. The problem of estimating the change of extinction coefficient due to time evolution of bimodal particle size distribution is studied, and two improved methods for calculating the Brownian coagulation coefficient and the condensation growth rate are proposed, respectively. Through the improved method based on Otto kernel, the Brownian coagulation coefficient can be expressed simply in powers of particle volume for the entire particle size regime based on the fitted polynomials of the mean enhancement function. Meanwhile, the improved method based on Fuchs–Sutugin kernel is developed to obtain the condensation growth rate for the entire particle size regime. And then, the change of the overall extinction coefficient of bimodal distributions undergoing Brownian coagulation and condensation can be estimated comprehensively for the entire particle size regime. Simulation experiments indicate that the extinction coefficients obtained with the improved methods coincide fairly well with the true values, which provide a simple, reliable, and general method to estimate the change of extinction coefficient for the entire particle size regime during the bimodal particle dynamic processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29
Fig. 30
Fig. 31
Fig. 32

Similar content being viewed by others

References

  • Barrett JC, Jheeta JS (1996) Improving the accuracy of the moments method for solving the aerosol general dynamic equation. J Aerosol Sci 8:1135–1142

    Article  Google Scholar 

  • Barrett JC, Webb NA (1998) A comparison of some approximate methods for solving the aerosol general dynamic equation. J Aerosol Sci 1–2:31–39

    Article  Google Scholar 

  • Binkowski FS, Shankar U (1995) The regional particulate matter model 1. Model description and preliminary results. J Geophys Res 12:26191–26209

    Article  Google Scholar 

  • Bohrend CF, Huffman R (1998) Absorption and scattering of light by small particles. Wiley, New York

    Book  Google Scholar 

  • Efendiev Y, Struchtrup H, Luskin M, Zachariah MR (2002) A hybrid sectional-moment model for coagulation and phase segregation in binary liquid nanodroplets. J Nanopart Res 4:61–72

    Article  CAS  Google Scholar 

  • Garca-Nieto PJ (2002) Study of visibility degradation due to coagulation, condensation, and gravitational settling of the atmospheric aerosol. Aerosol Sci Technol 36:814–827

    Article  Google Scholar 

  • Jeong JI, Choi M (2004) A bimodal moment model for the simulation of particle growth. J Aerosol Sci 9:1071–1090

    Article  Google Scholar 

  • Jung CH, Kim YP (2006) Numerical estimation of the effects of condensation and coagulation on visibility using the moment method. J Aerosol Sci 2:143–161

    Article  Google Scholar 

  • Jung CH, Kim YP (2007) Particle extinction coefficient for polydispersed aerosol using a harmonic mean type general approximated solution. Aerosol Sci Technol 11:994–1001

    Google Scholar 

  • Jung CH, Kim YP (2008) Theoretical study on the change of the particle extinction coefficient during the aerosol dynamic processes. J Aerosol Sci 10:904–916

    Article  Google Scholar 

  • Jung CH, Kim YP, Lee KW (2002) Simulation of the influence of coarse mode particles on the properties of fine mode particles. J Aerosol Sci 8:1201–1216

    Article  Google Scholar 

  • Kalani A, Christofides PD (2002) Simulation, estimation and control of size distribution in aerosol processes with simultaneous reaction, nucleation, condensation and coagulation. Comput Chem Eng 7–8:1153–1169

    Article  Google Scholar 

  • Kaskaoutis DG, Kambezidis HD (2006) Investigation into the wavelength dependence of the aerosol optical depth in the Athens area. Q J R Meteorol Soc 620:2217–2234

    Article  Google Scholar 

  • Kumar J, Peglow M, Warnecke G, Heinrich S (2008) An efficient numerical technique for solving population balance equation involving aggregation, breakage, growth and nucleation. Powder Technol 1:81–104

    Article  Google Scholar 

  • Lee KW, Chen H, Gieseke JA (1984) Log-normally preserving size distribution for Brownian coagulation in the free-molecule regime. Aerosol Sci Technol 1:53–62

    Google Scholar 

  • Megaridis CM, Dobbins RA (1990) A bimodal integral solution of the dynamic equation for an aerosol undergoing simultaneous particle inception and coagulation. Aerosol Sci Technol 2:240–255

    Google Scholar 

  • Otto E, Fissan H, Park SH, Lee KW (1999) The log-normal size distribution theory of Brownian aerosol coagulation for the entire particle size range: part II—analytical solution using Dahneke’s coagulation kernel. J Aerosol Sci 1:17–34

    Article  Google Scholar 

  • Park SH, Lee KW (2000a) Moment method of log-normal size distribution for coagulation problem: constant collision kernel mode. Part Sci Technol 4:293–307

    Article  Google Scholar 

  • Park SH, Lee KW (2000b) Condensational growth of polydisperse aerosol for the entire particle size range. Aerosol Sci Technol 3:222–227

    Google Scholar 

  • Peglow M, Kumar J, Warnecke G, Heinrich S, Mörl L (2006) A new technique to determine rate constants for growth and agglomeration with size- and time-dependent nuclei formation. Chem Eng Sci 1:282–292

    Google Scholar 

  • Pratsinis SE (1988) Simultaneous nucleation, condensation, and coagulation in aerosol reactors. J Colloid Interface Sci 2:416–427

    Article  Google Scholar 

  • Sandu A, Borden C (2003) A framework for the numerical treatment of aerosol dynamics. Appl Numer Math 4:475–497

    Article  Google Scholar 

  • Tsang TH, Brock JR (1983) Simulation of condensation aerosol growth by condensation and evaporation. Aerosol Sci Technol 3:311–320

    Google Scholar 

  • Whitby ER, McMurry PH (1997) Modal aerosol dynamics modeling. Aerosol Sc Technol 6:673–688

    Article  Google Scholar 

  • Wiscombe WJ (1980) Improved Mie scattering algorithms. Appl Opt 9:1505–1509

    Article  Google Scholar 

  • Yu MZ, Lin JZ, Jin HH, Ying J (2011) The verification of the Taylor-expansion moment method for the nanoparticle coagulation in the entire size regime due to Brownian motion. J Nanopart Res 13:2007–2020

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This study was supported by the National Natural Science Foundation of China (No. 11132008) and Zhejiang Province Natural Science Funds (Y6110147). The authors thank E.R. Whitby (Chimera Technologies, Inc., USA) and C.H. Jung (Kyungin Women’s College, Korea) for useful discussions on the coagulation and condensation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian-Zhong Lin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tang, H., Lin, JZ. Research on bimodal particle extinction coefficient during Brownian coagulation and condensation for the entire particle size regime. J Nanopart Res 13, 7229–7245 (2011). https://doi.org/10.1007/s11051-011-0637-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11051-011-0637-z

Keywords

Navigation