Estimation of dry deposition velocity of particles on the basis of measured size distributions

1990 ◽  
Vol 21 ◽  
pp. S205-S208
Author(s):  
P. Keronen ◽  
R. Hillamo
Keyword(s):  
Dry Deposition ◽  
Deposition Velocity ◽  
Size Distributions ◽  
Dry Deposition Velocity

scholarly journals Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles

2014 ◽  
Vol 14 (7) ◽  
pp. 3729-3737 ◽  
Author(s):  
L. Zhang ◽  
Z. He
Keyword(s):  
Dry Deposition ◽  
Fine Particles ◽  
Deposition Velocity ◽  
Aerodynamic Resistance ◽  
Technical Note ◽  
Size Distributions ◽  
Area Index ◽  
Gravitational Settling ◽  
Dry Deposition Velocity ◽  
Original Size

Abstract. An empirical algorithm is developed for calculating bulk dry deposition velocity (Vd) of fine (PM2.5) – particles having a diameter of ≤ 2.5 μm), coarse (PM2.5−10 – particles having a diameter of 2.5–10 μm), and giant (PM10+ – particles having a diameter of > 10 μm) atmospheric particles. The algorithm is developed from an empirical fit of Vd data calculated using the size-resolved Vd scheme of Zhang et al. (2001) with assumed lognormal size distributions of PM2.5, PM2.5−10 and PM10+. In the new algorithm, the surface deposition velocity (Vds) is parameterized as a simple linear function of friction velocity (u*) for PM2.5 and as a polynomial function of u* for both PM2.5−10 and PM10+ over all the 26 land use categories (LUCs). An adjustment factor as an exponential function of u* and leaf area index (LAI) is also applied to Vds of PM2.5−10 and PM10+ over 9 of the 26 LUCs that have variable LAI. Constant gravitational settling velocities are provided for PM2.5, PM2.5−10 and PM10+. Aerodynamic resistance between a reference height and the surface can be calculated using available analytical formulas from the literature. The bulk Vd of PM2.5, PM2.5−10 and PM10+ at the reference height can then be calculated by combining the gravitational settling velocity, aerodynamic resistance and the parameterized Vds. Vd values calculated using the new algorithm are within ±20% of those using the original size-resolved scheme for fine, coarse and giant particles. Uncertainties in Vd values from the new algorithm due to the pre-assumed size distributions are on the order of 20% for fine particles and on the order of a factor of 2.0 for coarse and giant particles. The new algorithm provides an alternative approach for calculating Vd of bulk aerosol particles. Vd of any particulate species can be simply estimated using this scheme as long as the mass fractions in fine, coarse and giant particles are known or can be assumed.

Determining PM2.5 dry deposition velocity on plant leaves: An indirect experimental method

2019 ◽  
Vol 46 ◽  
pp. 126467 ◽  
Author(s):  
Shan Yin ◽  
Xuyi Zhang ◽  
Annie Yu ◽  
Ningxiao Sun ◽  
Junyao Lyu ◽  
...  
Keyword(s):  
Experimental Method ◽  
Dry Deposition ◽  
Deposition Velocity ◽  
Plant Leaves ◽  
Dry Deposition Velocity

scholarly journals Aerosol dry deposition measured with eddy-covariance technique at Wasa and Aboa, DronningMaud Land, Antarctica

2002 ◽  
Vol 35 ◽  
pp. 355-361 ◽  
Author(s):  
Anna Grönlund ◽  
Douglas Nilsson ◽  
Ismo K. Koponen ◽  
Aki Virkkula ◽  
Margareta E. Hansson
Keyword(s):  
Eddy Covariance ◽  
Dry Deposition ◽  
Transfer Functions ◽  
Deposition Velocity ◽  
Ice Core ◽  
Brownian Diffusion ◽  
Wind Component ◽  
Surface Boundary ◽  
Surface Boundary Layer ◽  
Dry Deposition Velocity

AbstractInterpretation of ice-core records in terms of changes in atmospheric concentrations requires understanding of the various parameters within air–snow transfer functions. the dry-deposition velocity is one of these parameters, dependent on local meteorological conditions and thereby also affected by climate changes. We have determined aerosol dry-deposition velocities by measurements of aerosol particle-number concentration and the vertical wind component with an eddy-covariance system close to the Swedish and Finnish research stations Wasa and Aboa in Dronning Maud Land, Antarctica. Measurements were performed over a smooth, snow-covered area and over moderately rough, rocky ground during 4 and 19 days, respectively, in January 2000. the median dry-deposition velocity determined 5.25 mabove the surface was 0.33 and 0.80 cm s–1, respectively. the large difference between the two sites was mainly due to the stratification of the surface boundary layer, the surface albedo and the surface roughness height. the dry-deposition number fluxes were dominated by the particle-size modes defined as ultrafine and Aitken, withmean diameters around 14 and 42 nm, respectively. A larger dry-deposition velocity, owing to stronger Brownian diffusion, for the smaller ultrafine mode was verified by the measurements.

scholarly journals NO2 Dry Deposition Velocity in a Wheat Field

2006 ◽  
Vol 62 (1) ◽  
pp. 33-40
Author(s):  
Shangxun ZHANG ◽  
Keisuke NONAKA ◽  
Katsutoshi HORIE ◽  
Shoji MATSUMURA ◽  
Masatoshi AOKI ◽  
...  
Keyword(s):  
Dry Deposition ◽  
Deposition Velocity ◽  
Wheat Field ◽  
Dry Deposition Velocity
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