Dry deposition model for a microscale aerosol dispersion solver based on the moment method

被引:6
|
作者
Sip, Viktor [1 ]
Benes, Ludek [1 ]
机构
[1] Czech Tech Univ, Dept Tech Math, Fac Mech Engn, Karlovo Namesti 13, Prague 12135 2, Czech Republic
关键词
Dry deposition; Vegetation; Microscale modelling; Moment method; Particle dispersion; PARTICULATE POLLUTION; VEGETATIVE CANOPIES; AVENUE-TREES; AIR-QUALITY; PART II; URBAN; PARTICLES; COLLECTION; CAPTURE; AREAS;
D O I
10.1016/j.jaerosci.2017.02.010
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A dry deposition model suitable for use in the microscale solver based on the moment method has been developed. Contributions from five main processes driving the deposition - Brownian diffusion, interception, impaction, turbulent impaction, and sedimentation - are included in the model. The deposition model was employed in the moment method solver implemented in the OpenFOAM framework. Applicability of the developed expression and the moment method solver was tested on two example problems of particle dispersion in the presence of a vegetation on small scales: a flow through a tree patch in 2D and a flow through a hedgerow in 3D. Comparison with the sectional method showed that the moment method using the developed deposition model is able to reproduce the shape of the particle size distribution well. The relative difference in terms of the volume concentration was below 3% in both tested cases, and decreased away from the vegetation. When tested on the 3D test case, the moment method achieved approximately fivefold acceleration compared to the sectional method using 51 bins.
引用
收藏
页码:107 / 122
页数:16
相关论文
共 50 条
  • [21] Dust deposition, microscale flow- and dispersion model of particulate matter, examples from the city center of Budapest
    Farkas, Orsolya
    Torok, Akos
    IDOJARAS, 2019, 123 (01): : 39 - 55
  • [22] A CFD-based wind solver for an urban fast response transport and dispersion model
    Akshay A. Gowardhan
    Eric R. Pardyjak
    Inanc Senocak
    Michael J. Brown
    Environmental Fluid Mechanics, 2011, 11 : 439 - 464
  • [23] A CFD-based wind solver for an urban fast response transport and dispersion model
    Gowardhan, Akshay A.
    Pardyjak, Eric R.
    Senocak, Inanc
    Brown, Michael J.
    ENVIRONMENTAL FLUID MECHANICS, 2011, 11 (05) : 439 - 464
  • [24] A High Sensitivity Piezoelectric MEMS Accelerometer Based on Aerosol Deposition Method
    Gong, Xuewen
    Chen, Chao-Ting
    Wu, Wen-Jong
    Liao, Wei-Hsin
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2019, 2019, 10970
  • [25] Investigation of particle deposition and dispersion using hybrid LES/RANS model based on lattice Boltzmann method
    Sajjadi, H.
    Salmanzadeh, M.
    Ahmadi, G.
    Jafari, S.
    SCIENTIA IRANICA, 2018, 25 (06) : 3173 - 3182
  • [26] Source term estimation for the MARIA research reactor and model of atmospheric dispersion of radionuclides with dry deposition
    Lipka, Maciej
    NUKLEONIKA, 2020, 65 (03) : 173 - 179
  • [27] Dry powder inhaler aerosol deposition in a model of tracheobronchial airways: Validating CFD predictions with in vitro data
    Ahookhosh, Kaveh
    Saidi, Maysam
    Aminfar, Habib
    Mohammadpourfard, Mousa
    Hamishehkar, Hamed
    Yaqoubi, Shadi
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2020, 587
  • [28] Investigating particle emissions and aerosol dynamics from a consumer fused deposition modeling 3D printer with a lognormal moment aerosol model
    Zhang, Qian
    Sharma, Girish
    Wong, Jenny P. S.
    Davis, Aika Y.
    Black, Marilyn S.
    Biswas, Pratim
    Weber, Rodney J.
    AEROSOL SCIENCE AND TECHNOLOGY, 2018, 52 (10) : 1099 - 1111
  • [29] Moment-based calculation of parameters for the storage zone model for river dispersion
    Seo, IW
    Cheong, TS
    JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 2001, 127 (06): : 453 - 465