dry deposition velocity of pm2.5 ammonium sulfate particles to a norway spruce forest on the basis...
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Atmospheric Environment 37 (2003) 4419–4424
Dry deposition velocity of PM2.5 ammonium sulfateparticles to a Norway spruce forest on the basis of
S- and N-balance estimations
L!aszl !o Horv!ath
Hungarian Meteorological Service, Gilice t!er 39, Budapest 1181, Hungary
Received 28 February 2003; received in revised form 25 June 2003; accepted 3 July 2003
Abstract
In this paper we make an attempt to estimate the dry deposition velocity of ammonium sulfate particles using the
results of sulfur and nitrogen balance determined between the atmosphere and a forest ecosystem for the years of 1996–
1998. Results of these measurements and of a campaign conducted during summer of 2001 demonstrate that
ammonium and sulfate ions exist in nearly equivalent ratio in particle phase. According to the size distribution
measurements majority ð92%Þ of ammonium sulfate can be found in the fraction of PM2.5. For the balance calculation,
results of throughfall, stemflow and wet-only deposition measurements have been used, together with dry deposition
measurements of gaseous sulfur dioxide and ammonia. Dry deposition velocity of ammonium sulfate particles
determined from sulfur and nitrogen balance were vX0:8270:25 and ¼ 0:8470:25 cm s�1; respectively. The two figures
determined by different ways are in good agreement and they are in accordance with other experimental results found in
the literature. The results suggest the necessity of the revision of the models applied during the theoretical calculation of
dry deposition velocity of PM2.5 particles.
r 2003 Elsevier Ltd. All rights reserved.
Keywords: PM2.5 particles; N-balance; S-balance; Wet deposition; Dry deposition; Throughfall deposition
1. Introduction
The knowledge of the rate of dry deposition velocity
of ammonium sulfate particles is necessary for the
estimation of N and S load or nitrogen and sulfur
balance between the atmosphere and forest ecosystems.
For aerosol particles, limited field studies (Erisman
et al., 1995; Wyers et al., 1995) have obtained system-
atically higher deposition velocities than there were
determined by theoretical calculations and wind tunnel
experiments (Ruijgork et al., 1993; Borrell et al., 1997).
There are still substantial differences between the
experimentally determined and theoretically calculated
dry deposition velocity figures. The deposition velocities
estimated from calculations and laboratory wind tunnel
measurements lies in the order of 0:1 cm s�1; while the
experimental values from the literature are higher with
one order of magnitude ð > 1 cm s�1Þ: Gallagher et al.
(2002) also pointed out the discrepancy between the
modeled and observed dry deposition figures for fine
(0.1–0:2 mm diameter particles).
According to some measurements dry deposition
velocity to forests are: 2:4 cm s�1 for sulfate (S!anchez
et al., 1993); 1.2–1:5 cm s�1 for ammonium particles
over 0:8 mm size (Wyers et al., 1995); 1–2 cm s�1 for fine
and 5 cm s�1 for coarse sulfate and ammonium particles
(Erisman et al., 1995). Different research groups agree
with the high uncertainty of these figures (Lopez, 1994).
Borrell et al. (1997) suggest over 1 cm s�1 deposition
velocity for particles according to the re-evaluation of
theoretical, wind tunnel and field estimations (Ruijgork
et al., 1993).
ARTICLE IN PRESS
AE International – Europe
E-mail address: [email protected] (L. Horv!ath).
1352-2310/$ - see front matter r 2003 Elsevier Ltd. All rights reserved.
doi:10.1016/S1352-2310(03)00584-3
Sulfur and reduced nitrogen compounds can be
deposited either by wet (WD) or dry deposition (DD)
processes. There are two gas-phase (SO2 and NH3) and
two particulate phase (sulfate, ammonium) components
which have substantial concentrations in the atmo-
sphere, controlling the N- and S-flux to forest ecosys-
tems (there are no important S-sources from the forest,
while ammonia has bi-directional flux).
The dry deposited sulfur and reduced nitrogen
compounds are leached by the precipitation from the
surface of leaves, branches and trunk and can be
detected as sulfate and ammonium ions in the through-
fall (TF) and stemflow (SF) precipitation samples. The
balance of a group of compounds can be written as (see
e.g. Ferm and Hultberg, 1999)
TF þ SF ¼ WD þ DD þ IC � UP; ð1Þ
where IC is the internal circulation or ion leakage, and
UP is the term for the uptake by stomata.
1.1. Sulfur compounds
In the case of sulfur compounds IC is negligible.
Using Eq. (1) the dry deposition of sulfate particles can
be expressed as
DDðSO2�4 Þ ¼TFðSO2�
4 Þ þ SFðSO2�4 Þ � WDðSO2�
4 Þ
� DDðSO2Þ þ UPðSO2Þ: ð2Þ
1.2. Nitrogen compounds
For reduced nitrogen species the stomatal uptake
both of ammonia gas and ammonium are significant,
while IC is negligible, in this case Eq. (1) can be written
as
DDðNHþ4 Þ ¼TFðNHþ
4 Þ þ SFðNHþ4 Þ � WDðNHþ
4 Þ
� DDðNH3Þ þ UPðNH3Þ þ UPðNHþ4 Þ:
ð3Þ
In the dry deposition of ammonia two processes are
dominant, the uptake by stomata (UP) and the
adsorption on wet leaf surface (CU) especially in the
presence of high sulfur dioxide concentrations. Hence
the dry deposition of ammonia can be written as
DDðNH3Þ ¼ UPðNH3Þ þ CUðNH3Þ: ð4Þ
Theoretically, net ammonia emission by plants cannot
be excluded in the case when the net stomatal emission
flux (negative UP) exceeds the magnitude of the
cuticular deposition. Stomata in the function of the
apoplastic pH and ammonium concentration control a
compensation point concentration for ammonia. In
most of cases the compensation point is lower than
atmospheric concentration, i.e. the sign of ammonia flux
is generally negative (i.e. deposition occurs). Compensa-
tion point is highly depend on the atmospheric nitrogen
load to the forest, in our case it is moderately low:
18 kg N ha�1 yr�1 (Horv!ath et al., 2002; Horv!ath,
2003). Dry deposition velocity of ammonia determined
at our forest site is 1.1–3:7 cm s�1 during night and day
hours, respectively (Horv!ath et al., 2001). These deposi-
tion velocity figures suggest a net ammonia deposition.
Eqs. (3) and (4) yield
DDðNHþ4 Þ ¼TFðNHþ
4 Þ þ SFðNHþ4 Þ � WDðNHþ
4 Þ
þ UPðNHþ4 Þ � CUðNH3Þ: ð5Þ
In our estimation Eq. (5) will be used to calculate the dry
deposition rate of ammonium particles.
Throughfall (TF) and stemflow (SF) measurements
are generally carried out on routine basis. Wet deposi-
tion (WD) measurements are also among the basic task
of the monitoring networks. Measurement of dry
deposition (DD) of sulfur dioxide and ammonia is also
well studied, there is a lot of information in the literature
for deposition rate of SO2 and for the net flux of NH3:However, in the estimation of dry deposition of
ammonium and sulfate particles there is one order of
magnitude of uncertainty between the theoretical,
laboratory estimations and experimental results as
mentioned above. There is no generally acceptable
method for the direct measurement of the dry deposition
of fine (PM2.5) aerosol particles.
In this paper we aimed to make an attempt to estimate
the dry deposition velocity of ammonium sulfate
particles, using the results of the sulfur and reduced
nitrogen balance over a forest ecosystem based on
measurements for the years of 1996–1998 in a Norway
spruce stand. For the calculation results of throughfall,
stemflow and wet-only precipitation measurements were
used, together with dry deposition measurements of
sulfur dioxide and ammonia. Another goal of this work
is to give a simple methodology to derive the dry
deposition velocity figures for particles and encourage to
continue the measurements to fill the gap between
theoretical and experimental results.
2. Measurements
Measurements were carried out during 1996–1998 in
the M!atra-Mountains, NW Hungary, in a Norway
spruce forest, planted between 1963 and 1965 in the
frame of the IUFRO international project. The average
height of the trees was 15–17 m (1996–1998), with a leaf
area index of 3.3 (1994). Geographical positions are l ¼19�570E; j ¼ 47�540N; h ¼ 560 m: The station is jointly
operated by the Forest Research Institute and by the
Hungarian Meteorological Service.
Concentration ðCÞ of sulfur dioxide and ammonia as
well as the ammonium and sulfate particles were
determined on the basis of 24 h samplings according
ARTICLE IN PRESSL. Horv !ath / Atmospheric Environment 37 (2003) 4419–44244420
to the EMEP (1996) recommendations by the filter pack
method as sulfate and ammonium ions in the solution of
sampling filters by ion-chromatography and indophe-
nol-blue photometry, respectively.
Wet deposition (WD) of sulfate and ammonium ions
was determined as WD ¼ Cp; where C is the concentra-
tion of the ion measured in the precipitation water, and
p is the precipitation amount. Daily precipitation
samples were taken by a wet-only collector installed
out of the forest canopy. Sulfate and ammonium ions
were determined by the methods mentioned above.
Throughfall (TF) and stemflow (SF) samples were
collected parallel with the precipitation samplings under
the canopy by five wet-only collectors and rims installed
on the trunk of 10 selected trees, respectively. Concen-
trations of sulfate and ammonium ions were determined
by the same way as mentioned.
Beside the concentration and deposition measure-
ments described above aerosol samplings were carried
out in the summer of 2001 to determine the amount
the ammonium and sulfate in different size ranges. A
Ghent-type impactor was used to select the ammonium
and sulfate particles in two ranges (do2:5 mm and
2:5 mmodo10 mm). As a total of 12 samplings were
carried out.
2.1. Uncertainty analysis
According to international inter-calibrations and
parallel samplings the estimated uncertainties of the
different terms are compiled in Table 1. Most critical
term is the dry deposition that has been determined
using results of the gradient flux measurements. Applic-
ability of the gradient method for forests is criticized.
Some authors give estimation on the bias. For example,
Simpson et al. (1998) demonstrated that the ratio of
eddy/gradient fluxes are between 1.1 and 1.24 at
approximately 2 times higher measuring height to
canopy height (our case). Hargreaves et al. (1996)
calculated a ratio of 1.19 for eddy/gradient fluxes.
According to our estimation (M!esz!aros et al., 2000) the
ratio of u� determined by different methods is 1.16.
These figures are below the 730% uncertainty which is
indicated in Table 1.
3. Results
To determine the distribution and concentration of
ammonium sulfate particles in different size ranges
result of 12 Ghent-impactor samplings were used. The
main measured parameters can be seen in Table 2.
As Table 2 shows majority of ammonium and sulfate
exist in the range of PM2.5. There is a strong correlation
between the ammonium and sulfate particles in the
PM2.5 range according to Fig. 1.
Ammonium-to-sulfate ratio expressed in equivalents
are 93 and 104 nequ m�3 i.e. the two ions exist nearly in
stochiometric ratio. From Table 3 the corresponding
figures for years of 1996–1998 are 79 and 94 nequ m�3:These suggest that the two ions exist nearly in equivalent
ratio and can be treated mostly as neutral ammonium
sulfate in the PM2.5 range. Using this close stochio-
metric ratio of ammonium and sulfate one can estimate
that dry deposition velocities determined both for
ammonium and sulfate ions represent the dry deposition
velocity of ammonium sulfate particles.
3.1. Sulfur compounds
In Eq. (2) terms TF, ST, WD and DD were separately
determined. Because UP(SO2) term remains unknown,
only the dry deposition of sulfate minus uptake of sulfur
ARTICLE IN PRESS
Table 1
Uncertainty in determination of different terms
Parameter Uncertainty (%)
NHþ4 and NO�
3 concentration
measurements in precipitation
75
Precipitation amount 710
Overall uncertainty of WD 710
NH3 and SO2 concentration profile 710
Determination of K 725
Overall uncertainty of DD 725
Uncertainty of TF and SF 710
Overall estimated uncertainty of
DD(SO2�4 ) and DD(NHþ
4 )
730
Table 2
Ratio of sulfate to ammonium in different size ranges by 12
cascade impactor samplings in Summer, 2001
Phase NHþ4 ð%Þ SO2�
4 ð%Þ(nequ m�3) (nequ m�3)
do2:5 mm 93.3 96 104 92
2:5 mmodo10 mm 4.1 4 9.0 8
y = 1.0303x + 0.0077 R2= 0.9809
0.00
0.05
0.10
0.15
0.20
0.00 0.05 0.10 0.15 0.20
ammonium
sulf
ate
Fig. 1. Correlation between the concentration of ammonium
and sulfate ions in PM2.5 phase (mequ m�3).
L. Horv !ath / Atmospheric Environment 37 (2003) 4419–4424 4421
dioxide DD(SO2�4 Þ � UPðSO2) can be calculated from
Eq. (2). To derive dry deposition velocity figures the
½DDðSO2�4 Þ � UPðSO2Þ=CðSO2�
4 Þ ¼ vðSO2�4 Þ � f ð6Þ
equation was used. In the case of f > 0; i.e. when the
stomatal uptake of sulfur dioxide is not negligible the
calculated vðSO2�4 Þ � f gives the lower limit for sulfate
deposition. In the extreme case when stomatal uptake is
negligible ðf ¼ 0Þ; vðSO2�4 Þ can be directly calculated
from Eqs. (5) and (6).
The rate of stomatal uptake in the dry deposition of
sulfur dioxide depends among others on the moisture,
leaf wetness, temperature and the ambient ammonia
level. Stomatal uptake of sulfur dioxide can be
important, but in our case it has probably of less
importance in comparison to the surface adsorption.
Despite of the relatively low, 700–750 mm yr�1 rainfall,
the humidity inside the canopy is high (in most cases
> 60%). Though stomatal sulfur dioxide deposition
occurs parallel with surface deposition, several authors
pointed out the great importance of deposition on wet
leaf surfaces involving ammonia (Flechard et al., 1999).
One of the most important factor controlling the canopy
resistance to the dry deposition of sulfur dioxide is the
ratio of ammonia to sulfur dioxide as described by
Fowler and Erisman (2003). For example parallel with
the increase of ammonia to sulfur dioxide, the canopy
resistance of cereal canopy decreased from 130 to
80 s m�1: As one of the main results of the first stage
of the BIATEX project it was demonstrated (Erisman
et al., 1993) that in dry cases, when the humidity is lower
than 60% canopy resistance for SO2 lies between 500
and 1000 s m�1: In other cases except during fog, with
low ammonia level and during negative temperature the
canopy resistance is low ð50 s m�1Þ: At our site the
average dry deposition velocity is 0:64 cm s�1; giving
150 s m�1 for the bulk (Ra; Rb and Rc) resistance.
Roughly, taking into account, that Ra and Rb are
responsible for the half of the bulk resistance, we are in
the range of below 100 s m�1; indicating that surface
deposition is the more important deposition process
than stomatal uptake in our forest. Comparing the 500–
1000 s m�1 canopy resistance with Ro100 s m�1 surface
resistance, as a first approximation, we can say, stomatal
deposition would give the 10%–20% of the total
deposition on yearly basis. In winter when ammonia to
sulfur dioxide ratio is low the estimated surface
resistance can be higher resulting in higher share of the
stomatal deposition.
For the calculation of vðSO2�4 Þ � f the TF, SF and
WD were measured as described above. The results of
wet deposition measurements (WD), throughfall (TF)
and stemflow (SF) deposition estimates are compiled in
Table 4.
Dry deposition fluxes of sulfur dioxide were inferred
from the continuously monitored 3-year concentration
record ðCÞ and dry deposition velocity ðvÞ as DDðSO2Þ ¼vC for different seasons and stratification. Dry deposi-
tion velocity was determined on campaign basis in
different seasons between 1992 and 1994 by the gradient
method described in Horv!ath et al. (1996). Dry flux was
calculated as F ¼ �KH dC=dz; where KH is the
turbulent diffusion coefficient for the sensible heat flux,
dC=dz is the concentration gradient. Concentration
gradient was determined at different heights (28, 23,
and 18 m) above the canopy by a HORIBA gas monitor.
Diffusion coefficient was calculated according to the
Monin–Obukhov’s semi-empirical similarity theory
(Weidinger et al., 2000) for the layer between 28 and
18 m: Dry deposition velocity was derived and calcu-
lated for different seasons and for different stratification
as v ¼ �F=C: The bulk mean dry deposition velocity
averaged for the whole year is 0:64 cm s�1 (variation
according to the season is 0.40–0:96 cm s�1 ranging
0.09–0.34 and 0.60–1:57 cm s�1 during stable and
unstable stratification, respectively). Result of dry
deposition estimate for sulfur dioxide (DD) can be seen
in Table 4.
According to Eq. (2) the yearly dry flux of sulfate is
2578 mequ m�2 yr�1: Bulk dry deposition velocity for
sulfate particles calculated from Eq. (6), using the mean
concentration in Table 3 and taking into account the
ARTICLE IN PRESS
Table 3
Mean concentrations of sulfur and reduced nitrogen species
(1996–1998)
Species Concentration
ðnequ m�3)
Sulfur dioxide 600760
Sulfate 9479
Ammonia 4474
Ammonium 7978
Table 4
Throughfall, stemflow, wet and dry deposition measurements of
sulfur and nitrogen compounds and the calculated dry
deposition flux for sulfate and ammonium particles (1996–1998)
Form of deposition Deposition rate
(mequ m�2 yr�1)
TF(SO2�4 ) measured 200720
SF(SO2�4 ) measured 0.570.05
WD(SO2�4 ) measured 5676
DD(SO2) measured 120730
DD(SO2�4 ) calculated >2578
TF(NHþ4 ) measured 5175
SF(NHþ4 ) measured 5.475
WD(NHþ4 ) measured 3073
DD(NH3) measured 40710
DD(NHþ4 ) calculated 2176
L. Horv !ath / Atmospheric Environment 37 (2003) 4419–44244422
uncertainty of measurements and estimations is v >0:8270:25 cm s�1 or in extreme case (high ammonium
level, high moisture, wet leaves, when stomatal uptake
is negligible to the cuticular adsorption) it is v ¼0:8270:25 cm s�1:
3.2. Nitrogen compounds
TF, SF and WD terms in Eq. (5) can be determined
experimentally. The term UP(NHþ4 Þ � CUðNH3) cannot
be calculated from our measurements. However, it is
possible to make a rough estimation for the magnitude
of these terms. When ammonium ion is taken up by
plants from precipitation the rate of uptake (UP) is
limited as
0oUPðNHþ4 ÞoWDðNHþ
4 Þ: ð7Þ
Wet deposition of ammonium according to Table 4
is 30 mequ m�2 yr�1; therefore the rate of stomatal
ammonium uptake is somewhere between 0 and
30 mequ m�2 yr�1:Cuticular (surface) adsorption of NH3 is limited by
the total measured dry deposition of ammonia, hence
0oCUðNH3ÞoDDðNH3Þ: ð8Þ
Dry deposition fluxes of ammonia were inferred by the
monitored concentrations ðCÞ and dry deposition
velocities ðvÞ; for different seasons and stratification, as
DDðNH3Þ ¼ vC: Dry deposition velocity was measured
on campaign basis by the gradient method (Horv!ath
et al., 2001, 2003). Dry flux was determined by the same
method as described for sulfur dioxide. The bulk mean
dry deposition velocity averaged for the whole year is
2:4 cm s�1 (variations are 1.1 and 3:7 cm s�1 during
stable and unstable stratification, respectively).
The calculated net dry flux for ammonia is
40 mequ m�2 yr�1 therefore the cuticular deposition of
ammonia lies between 0 and 40 mequ m�2 yr�1:Table 5 shows the calculated dry deposition velocities
for ammonium particles using Eqs. (5) and (9),
vðNHþ4 Þ ¼ DDðNHþ
4 Þ=CðNHþ4 Þ: ð9Þ
Because both the stomatal uptake of ammonium and the
cuticular adsorption of ammonia is important the most
probable rate of dry deposition, v ¼ 0:8470:25 can be
inferred when the rate of stomatal and cuticular dry
deposition of ammonia is 1:1 [case of CU(0.5)] and half of
ammonium ions is taken up from the precipitation [case
of UP(0.5)]. Though, these are rough estimations, the
good agreement between deposition velocities from sulfur
balance vX0:8270:25 cm s�1 and from reduced nitrogen
balance v ¼ 0:8470:25 cm s�1 suggests that the assump-
tions for the rate of cuticular adsorption of ammonia and
stomatal uptake of ammonium ion are close to the reality.
4. Conclusions
There are great uncertainties in the estimation of dry
deposition rate of fine aerosol particles to forest
ecosystems. However, the yearly bulk dry deposition
velocity of ammonium and sulfate particles can be
estimated by a simple way using routine wet deposition,
throughfall and stemflow measurements as well as dry
deposition measurements of gases. Since ammonium
and sulfate mostly exist in PM2.5 range and are nearly in
stochiometric ratio dry deposition of ammonium sulfate
particles can be generalized for PM2.5 particles.
The deposition figures determined either from the S-
and N-balance calculations (vX0:8270:25 and ¼ 0:8470:25 cm s�1) are in good agreement and they are in
accordance with other experimental deposition velocities
found in the literature. These results suggest on one
hand the necessity of the revision of the models applied
during the theoretical calculation of dry deposition
velocity for fine particles and on the other, to continue
the simple experimental work described here for as many
places as possible.
Acknowledgements
Investigation were sponsored by: National Committee
for Technological Development, 1996–97, PHARE
TD&QM No. H-9305–02/1033; National Committee
for Technological Development 1996–98, No. 6-97-45-
1047; Ministry for Environment, 1999 No. 063/T; US-
Hungarian Joint Research Fund, 1996–99 No. 608/96;
National Committee for Technological Development,
1998–1999, UNDP-HUN/95/002-0119; Ministry for
Environment, 2000, No. KAC-20834; Ministry for
Environment, 2001, KAC-27822; Ministry for Environ-
ment, 2002, KAC-44146; Hungarian Scientific Research
Fund, 2000–2003, No. OTKA T-31927.
References
Borrell, P., Builtjes, J.H., Grennfelt, P., H^v, O. (Eds.), 1997.
Transport and chemical transformation of pollutants in the
ARTICLE IN PRESS
Table 5
Calculated dry flux (DD) and dry deposition velocity ðvÞ of
ammonium particles in the cases of different rates of cuticular
ammonia adsorption and stomatal uptake of ammonium
ðTF þ SF � WD ¼ 26 mequ m�2 yr�1)
DD ðNHþ4 Þ v ðNHþ
4 Þðmequ m�2 yr�1) ðcm s�1Þ
UPðminÞ ¼ 0; CUðminÞ ¼ 0 26 1.04
UPðmaxÞ ¼ 30; CUðmaxÞ ¼ 40 16 0.65
UPð0:5Þ ¼ 15; CUð0:5Þ ¼ 20 21 0.84
L. Horv !ath / Atmospheric Environment 37 (2003) 4419–4424 4423
troposphere. Photo-oxidants, Acidification and Tools:
policy Applications of EUROTRAC Results, Vol. 10.
Springer, Berlin, p. 116.
EMEP, 1996. EMEP co-operative programme for monitoring
and evaluation of the long-range transmission of air
pollutants in Europe. EMEP Manual for sampling and
chemical analysis. EMEP/CCC-Report 1/95, NILU, Kjeller,
Norway.
Erisman, J.W., van Pul, A., Wyers, P., 1993. Parameterization
of dry deposition mechanisms for the quantification of
atmospheric input to ecosystems. In: Slanina, J., Angeletti,
G., Beilke, S. (Eds.), Air Pollution Research Report,
Vol. 47. CEC, Brussels, pp. 215–234.
Erisman, J.W., Draajers, G., Duyzer, J., Hofschreuder, P., van
Leeuwen, N., R .omer, F., Ruijgork, W., Wyers, P., 1995.
Particle deposition to forests. Acid rain research: do we have
enough answers? In: Heij, G.J., Erisman, J.W. (Eds.),
Studies in Environmental Science, Vol. 64. Elsevier,
Amsterdam, Lausanne, NY, Oxford, Shannon, Tokyo,
p. 115.
Ferm, M., Hultberg, H., 1999. Dry deposition and internal
circulation of nitrogen, sulphur and base cations into a
coniferous forest. Atmospheric Environment 33, 4421–4430.
Flechard, C.R., Fowler, D., Sutton, M.A., Cape, J.N., 1999.
A dynamic chemical model of bi-directional ammonia
exchange between semi-natural vegetation and the atmo-
sphere. Quarterly Journal of the Royal Meteorological
Society 125, 2611–2641.
Fowler, D., Erisman, J.W., 2003. Biosphere/atmosphere
exchange of pollutants. In: Midgley, P., Reuther, M
(Eds.), Towards Cleaner Air for Europe. Science, Tools
and Applications. Margraph Publishers, Weikersheim,
pp. 35–58.
Gallagher, M.W., Nemitz, E., Dorsey, J.R., Fowler, D., Sutton,
M.A., Flynn, M., Duyzer, J., 2002. Measurements and
parameterizations of small aerosol deposition velocities to
grassland, arable crops, and forest: influence of surface
roughness length on deposition. Journal of Geophysical
Research 107, AAC 8–1.
Hargreaves, K.J., Wienhold, F.G., Klemedtsson, L., Arah,
J.R.M., Beverland, I.J., Fowler, D., Galle, B., Griffith,
D.W.T., Skiba, U., Smith, K.A., Welling, M., Harris, G.W.,
1996. Measurement of nitrous oxide emission from agri-
cultural land using micrometeorological methods. Atmo-
spheric Environment 30, 1563–1571.
Horv!ath, L., 2003. Determination of the nitrogen compound
balance between the atmosphere and a Norway Spruce
forest ecosystem. Nutrient Cycling in Agroecosystems
(under evaluation).
Horv!ath, L., Weidinger, T., Nagy, Z., F .uhrer, E., 1996.
Measurement of dry deposition velocity of ozone, sulfur
dioxide and nitrogen oxides above pine forest and low
vegetation in different seasons by the gradient method. In:
Slanina, J. (Ed.), Biosphere-Atmosphere Exchange of
Pollutants and Trace Substances, Vol. 4. Springer, Berlin,
Heidelberg.
Horv!ath, L., M!esz!aros, R., Pinto, J.P., Weidinger, T., 2001.
Estimate of the dry deposition of atmospheric nitrogen and
sulfur species to spruce forest. In: Midgley, P.M., Reuther,
M., Williams, M. (Eds.), Proceedings of EUROTRAC
Symposium 2000 Garmish-Partenkirchen, Germany 27–31
March 2000. Springer, Berlin, Heidelberg.
Horv!ath, L., M!esz!aros, R., Weidinger, T., 2002. Measurement
of nitrogen compound balance between the atmosphere and
a spruce forest ecosystem. In: Midgley, P.M., Reuther, M.
(Eds.), Proceedings of the EUROTRAC Symposium, 2002.
Margraf Verlag, Weikersheim.
Horv!ath, L., Pinto, J., Weidinger, T., 2003. Estimate of the dry
deposition of atmospheric nitrogen and sulfur species to
spruce forest. Id +oj!ar!as 107 (3–4) in press.
Lopez, A., 1994. Biosphere atmosphere exchanges: ozone and
aerosol dry deposition velocities over a pine forest.
EUROTRAC Annual Report part 4, BIATEX, EURO-
TRAC ISS, Garmisch-Partenkirchen, p. 80.
M!esz!aros, R., Horv!ath, L., Weidinger, T., McMillen, R., Luke,
W.T., 2000. Ozone flux measurements over a Central
European forest; comparison of the eddy-correlation and
the gradient techniques. Geophysical Research Abstracts 2,
ST8.05.
Ruijgork, W., Nicholson, K.W., Davidson, C.I., 1993. Dry
deposition of particles. Models and methods for the
quantification of atmospheric input to ecosystems. Nordiske
Seminar og Arbejdsrapporter 1993: 573. Nordic Council of
Ministers, Copenhagen, pp. 145–161.
S!anchez, M.L., Dom!ıngues, J., Sanz, F., Rodr!ıgues, R., 1993.
Preliminary study of dry deposition. In: Slanina, J.,
Angeletti, G., Beilke, S. (Eds.), Air Pollution Research
Report 47. CEC, Brussels, p. 65.
Simpson, I.J., Thurtell, G.W., Neumann, H.H., Den Hartog,
G., Edwards, G.C., 1998. The validity of similarity theory in
the roughness sublayer above forests. Boundary-Layer
Meteorology 87, 69–99.
Weidinger, T., Pinto, J., Horvath, L., 2000. Effects of
uncertainties in universal functions, roughness length, and
displacement height on the calculation of surface layer
fluxes. Meteorologische Zeitschrift 9, 139–154.
Wyers, G.P., Veltkamp, A.C., Geusebroek, M., Wayers, A.,
M .ols, J.J., 1995. Deposition of aerosol to coniferous forest.
Acid rain research: do we have enough answers? In: Heij,
G.J., Erisman, J.W. (Eds.), Studies in Environmental
Science, Vol. 64. Elsevier, Amsterdam, Lausanne, NY,
Oxford, Shannon, Tokyo, p. 127.
ARTICLE IN PRESSL. Horv !ath / Atmospheric Environment 37 (2003) 4419–44244424