Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles
An empirical algorithm is developed for calculating bulk dry deposition velocity (<i>V</i><sub>d</sub>) of fine (PM<sub>2.5</sub>) – particles having a diameter of ≤ 2.5 μm), coarse (PM<sub>2.5−10</sub> – particles having a diameter o...
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2014-04-01
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doaj-898f3233f2da43d3b6d5a66dab7ff0382020-11-24T22:51:22ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242014-04-011473729373710.5194/acp-14-3729-2014Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particlesL. Zhang0Z. He1Air Quality Research Division, Science and Technology Branch, Environment Canada, Toronto, CanadaAir Quality Research Division, Science and Technology Branch, Environment Canada, Toronto, CanadaAn empirical algorithm is developed for calculating bulk dry deposition velocity (<i>V</i><sub>d</sub>) of fine (PM<sub>2.5</sub>) – particles having a diameter of ≤ 2.5 μm), coarse (PM<sub>2.5−10</sub> – particles having a diameter of 2.5–10 μm), and giant (PM<sub>10+</sub> – particles having a diameter of > 10 μm) atmospheric particles. The algorithm is developed from an empirical fit of <i>V</i><sub>d</sub> data calculated using the size-resolved <i>V</i><sub>d</sub> scheme of Zhang et al. (2001) with assumed lognormal size distributions of PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub>. In the new algorithm, the surface deposition velocity (<i>V</i><sub>ds</sub>) is parameterized as a simple linear function of friction velocity (<i>u</i><sub>*</sub>) for PM<sub>2.5</sub> and as a polynomial function of <i>u</i><sub>*</sub> for both PM<sub>2.5−10</sub> and PM<sub>10+</sub> over all the 26 land use categories (LUCs). An adjustment factor as an exponential function of <i>u</i><sub>*</sub> and leaf area index (LAI) is also applied to <i>V</i><sub>ds</sub> of PM<sub>2.5−10</sub> and PM<sub>10+</sub> over 9 of the 26 LUCs that have variable LAI. Constant gravitational settling velocities are provided for PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub>. Aerodynamic resistance between a reference height and the surface can be calculated using available analytical formulas from the literature. The bulk <i>V</i><sub>d</sub> of PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub> at the reference height can then be calculated by combining the gravitational settling velocity, aerodynamic resistance and the parameterized <i>V</i><sub>ds</sub>. <i>V</i><sub>d</sub> 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 <i>V</i><sub>d</sub> 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 <i>V</i><sub>d</sub> of bulk aerosol particles. <i>V</i><sub>d</sub> 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.http://www.atmos-chem-phys.net/14/3729/2014/acp-14-3729-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
L. Zhang Z. He |
spellingShingle |
L. Zhang Z. He Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles Atmospheric Chemistry and Physics |
author_facet |
L. Zhang Z. He |
author_sort |
L. Zhang |
title |
Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
title_short |
Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
title_full |
Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
title_fullStr |
Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
title_full_unstemmed |
Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
title_sort |
technical note: an empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2014-04-01 |
description |
An empirical algorithm is developed for calculating bulk
dry deposition velocity (<i>V</i><sub>d</sub>) of fine (PM<sub>2.5</sub>) – particles having a
diameter of ≤ 2.5 μm), coarse (PM<sub>2.5−10</sub> – particles having
a diameter of 2.5–10 μm), and giant (PM<sub>10+</sub> – particles having a
diameter of > 10 μm) atmospheric particles. The algorithm
is developed from an empirical fit of <i>V</i><sub>d</sub> data calculated using the
size-resolved <i>V</i><sub>d</sub> scheme of Zhang et al. (2001) with assumed lognormal
size distributions of PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub>. In the new
algorithm, the surface deposition velocity (<i>V</i><sub>ds</sub>) is parameterized as a
simple linear function of friction velocity (<i>u</i><sub>*</sub>) for PM<sub>2.5</sub> and
as a polynomial function of <i>u</i><sub>*</sub> for both PM<sub>2.5−10</sub> and
PM<sub>10+</sub> over all the 26 land use categories (LUCs). An adjustment factor
as an exponential function of <i>u</i><sub>*</sub> and leaf area index (LAI) is also
applied to <i>V</i><sub>ds</sub> of PM<sub>2.5−10</sub> and PM<sub>10+</sub> over 9 of the 26 LUCs
that have variable LAI. Constant gravitational settling velocities are
provided for PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub>. Aerodynamic
resistance between a reference height and the surface can be calculated
using available analytical formulas from the literature. The bulk <i>V</i><sub>d</sub> of
PM<sub>2.5</sub>, PM<sub>2.5−10</sub> and PM<sub>10+</sub> at the reference height can then
be calculated by combining the gravitational settling velocity, aerodynamic
resistance and the parameterized <i>V</i><sub>ds</sub>. <i>V</i><sub>d</sub> 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
<i>V</i><sub>d</sub> 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 <i>V</i><sub>d</sub> of bulk aerosol
particles. <i>V</i><sub>d</sub> 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. |
url |
http://www.atmos-chem-phys.net/14/3729/2014/acp-14-3729-2014.pdf |
work_keys_str_mv |
AT lzhang technicalnoteanempiricalalgorithmestimatingdrydepositionvelocityoffinecoarseandgiantparticles AT zhe technicalnoteanempiricalalgorithmestimatingdrydepositionvelocityoffinecoarseandgiantparticles |
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