|
|
Issue 1, March 2001
Physical Sciences & Mathematics
Measuring Air-Sea Gas Exchange of Nitrogen, Oxygen, Argon and Carbon Dioxide by Micrometeorology and Mass Spectrometry
J. Michael Beman
Department of Geology and Geophysics, Yale University, New Haven, CT and Scripps Institution of Oceanography, University of California, San Diego, La Jolla
Abstract
Advancement in the
mass spectrometric analysis of air permits measurement of small
gradients in N2, O2, Ar, and CO2.
This work shows the potential of the gradient method for detecting
air-sea fluxes of N2, O2, Ar, and CO2,
though only on a qualitative basis. Difficulties were encountered
due to meteorological conditions, though possible effects due to
thermal diffusion were shown to be insignificant. Refinement of
the technique may eventually lead to qualitative assessment of air-sea
fluxes.
Introduction
Understanding the interaction of the atmosphere and the ocean has
become increasingly important for global change studies. As anthropogenic
activities produce and consume a variety of gases, the chemistry
of the atmosphere has been significantly altered. Coupled with chemical
changes in the atmosphere are changes in the dissolved constituents
of the ocean, as the two reservoirs try to equilibrate. Fluxes of
trace atmospheric constituents (e.g. CO2) across the
air-water interface have been well-studied, however little attention
has been paid to the major constituents of the atmosphere, N2,
O2, and Ar. This is due to the difficulties encountered
in measuring small changes in concentration of such prevalent species.
Recent technologic advances have allowed measurement of small changes
in atmospheric oxygen with important applications to understanding
the global carbon cycle (Keeling and Shertz 1992). Moreover, improvements
in the precision of mass spectrometry make it possible to apply
this tool to the study of major atmospheric constituents (Bender
et al. 1994). Here we present results of a study measuring
gradients in N2, O2, Ar, and CO2
above the sea surface at the end of the Scripps Institution of Oceanography's
320 meter pier.
Background
Studying air-sea exchange of N2, O2, Ar, and
CO2 has the potential to tell us a great deal about global
change. Previous measurement of atmospheric O2 concentrations has
shed light on the ‘missing sink' for carbon (Keeling et al.
1996) including an oceanic component-the so-called ‘biological pump'
of planktonic organisms that takes up CO2 and releases
O2. Studying N2, O2, Ar, and CO2
air-sea fluxes can also enhance our understanding of the influence
of changing ocean temperature on gas exchange (Keeling et al.
1993). Warming of the oceans by the greenhouse effect would lead to
exsolution of dissolved gases, including greenhouse gases. This would
be a positive feedback and lead to enhanced warming. Warming may also
lead to enhanced biological activity, and the biological pump would
draw down CO2 while releasing O2. The thermal
O2 flux is difficult to separate from the biological O2
flux, but it is possible by measuring fluxes of N2, O2,
and Ar (Keeling et al. 1993). For atmospheric oxygen
measurements O2 is ratioed to N2, however they
dissolve in the ocean in a different ratio than they are found in
the air. In air, N2:O2:Ar is 78:21:1, in sea
water, it is 36:20:1 (Keeling et al. 1993). Since the sea-to-air
flux of a species is primarily dependent on its concentration in the
ocean, the solubility change due to temperature change would lead
to increased fluxes of O2 relative to N2 while
the O2/Ar ratio would remain almost unchanged. An increase
in O2 flux due to biological activity would change both
ratios - thus measuring N2, O2, and Ar is
quite useful.
A variety of micro-meteorological techniques are available for the
study of gas exchange, with the most widely-used being eddy correlation.
Another promising technique is the gradient method, the technique
employed in our study. The gradient method measures differences in
concentrations between levels to yield a concentration gradient. The
theory behind the method is that a sink or source for a gas will produce
a slightly higher or lower concentration of the gas in the atmosphere
around the source or sink. Thus above a forest that is producing O2,
higher concentrations will exist nearer the forest than in the atmosphere
above. The gradient method benefits from the fact that most instruments
have better precision than accuracy (Baldocchi et al. 1988)
and thus it is possible to more easily measure relative differences
than absolute values. It has been successfully applied to terrestrial
studies of trace gas species (Simpson et al. 1997), though
gradients in CO2 over the ocean have been measured with
only limited success (Fairhall et al. 1999). This study is
the first attempt to measure gradients in N2, O2,
and Ar over the ocean, and the feasibility of making such measurements
is unknown.
Methods
We found measurement of gradients in N2, O2,
Ar, and CO2 to be quite difficult. The gradient of a given
gas above the sea surface goes with 1/z, where z is
the height above the sea surface (Fairhall et al. 1999). Detection
of a gradient is then aided by measuring as close to the sea surface
as possible, a measurement of obvious difficulty given the presence
of surface waves. Wave height on sampling days was on the order of
1 m, thus 1 m was chosen as the closest possible measurement. These
measurements were alternated with measurement at 2 m, as initial work
showed that any measurement further above 2 m yielded no significant
increase in the gradient. A tubing system was lowered off the end
of the pier by rope and pulley and stabilized by diving weights lowered
into the water. Sampling was conducted for 10 minutes at each height
to maximize the number of measurements taken while minimizing possible
effects on gas exchange from changes in wave height, tide, wind speed
and solar radiation (due to clouds). 15 liters of air per minute is
continuously pulled from the end of the pier through the tubing system
and into the laboratory.
In the lab, air is passed through a Siemens ULTRAMAT 3 CO2
Analyzer, and then through a Micromass IsoPrime mass spectrometer
system to measure N2, O2, and Ar. All gases
are measured relative to a working tank of known concentration. However,
absolute concentrations of the species were not determined, as this
experiment was chiefly concerned with relative changes and not absolute
measurements. Consequently, O2 and Ar values are ratioed
to N2 and reported in per Meg units, as described by (Keeling
and Shertz 1992). Time values are presented as seconds since the beginning
(12 am) of the day.
Results & Discussion
The most apparent
aspect of our data is the noise of the signal. The CO2
values, in particular, are quite noisy (Figure 1).
This is due to air pollution, as clear plumes of exhaust are evident
on 7-21 in the beginning of the measurement period. These higher CO2
values are corroborated with low values in oxygen on 7-21 as well.
The pollution effect is on the order of 10's to 100's of ppm, and
masks any 0.5-1 ppm gradient. It is then necessary to have a good
southwest wind to accurately measure CO2: any easterly
or northerly component brings air is coming from inland areas to the
east or from Los Angeles to the north. Unfortunately, there was no
full measurement period during which CO2 was unaffected
by pollution.
Other noise in the data are the very large peaks visible in Figure
2.
These are real features measured by the mass spectrometer, not single
erroneous points. We are uncertain of their cause. One possible effect
we considered is that of thermal diffusion, whereby a given gas will
become enriched in heavier isotopes in colder areas (Grew and Ibbs
1952). This effect has been identified in sand dune gases by Severinghaus
et al. 1996. Their work indicated that gases containing heavier
isotopes indeed congregate in areas of lower temperature, and that
air itself should show this fractionation. The idea is that air itself
should fractionate, with gases of higher molecular weights tending
to concentrate in slightly colder areas. Heating or cooling of the
air lines that run along the pier could theoretically fractionate
the air in the tube, leading to the observed peaks. To this end, we
conducted an experiment where ice was placed on approximately 1 m
of air line to observe possible fractionation due to thermal diffusion.
CO2, N2, O2, and Ar were measured
for 16 minutes, and then ice was placed on the tubing for 16 minutes,
then removed again for 16 minutes (these times were chosen to get
as long of a continuous record as possible while avoiding the hourly
working tank calibration). No observable fractionation can be gleaned
from the data, certainly not of the magnitude of the peaks observed
during some of the sampling (Figure 3).
Moreover, Severinghaus et al. (1996) observed fractionation
of 15N-N relative to N2 of ~ 0.2 per mil, which
would be almost 200 per Meg and is clearly not present in our data.
The only other possible effect is that of pressure changes, which
would lead to fractionation of air as it is pulled into the mass spectrometer.
This possibility warrants further work, as peaks are also evident
after switchover from the working tank (Figure 4).
The fact that thermal diffusion does not have a dramatic signal is
a benefit to future use of the gradient method for measuring fluxes.
It is plausible that thermal diffusion could cause a gradient of its
own, as heavier gases would congregate closer to the sea surface where
the air is colder than above, but if a temperature change of 10's
of degrees due to ice had no effect, a change of .1's of a degree
is obviously of no significance.
The finer features of our data are difficult to resolve visually within
the large scatter of the data. The 15N-N signal shows no
trends and is of no value, however trends in O2 and Ar
are statistically resolvable. Figures 5 through 9 show the raw data
with trendlines (least squares fit). This analysis was chosen over
a more quantitative assessment because averaging values masks the
noise of the data.








Most
of the noise seems to come in the form of peaks, clearly evident on
7-27 in Figures 6a and 6b. We envision these peaks as ‘burps' from
the sea surface, likely associated with gas flux from breaking waves.
Any peaks with values 15 per Meg greater than the trendline have been
identified in the figures. Burps are more likely to be found at 1
m than 2 m, leading to increased concentrations closer to the sea
surface, and qualitatively supporting our hypothesis.
These features vary between sampling days, possibly due to different
meteorological conditions. The gradient method benefits from small
waves, as mentioned before, and a SW wind is also ideal. Additionally,
air-sea flux is dependent on wind speed. Increased fluxes are associated
with higher winds, though the quantitative relationship is still unresolved
in the literature (Liss and Merlivat 1986; Wanninkhof 1992; Wanninkof
and McGillis 1999). However, measurement of a gradient is only possible
under less turbulent conditions. The presence of a gradient depends
on the inability of the atmosphere to mix at the rate at which gas
is added to or removed from the atmosphere, creating a measurable
disequilibrium. 7-27 was extremely foggy and there was very low wind.
This may have lead to decreased fluxes in general, and the large peaks
that are visible in Figures 6a & b may be the result of burps that
stick out from the baseline data. 8-4 (Figures 7a & b) was extremely
windy (>8 mps), resulting in the increased noise in the data and lack
of a gradient observable in the trendlines. The conditions on 7-21
(Figure 4) were nearly ideal, but for the exhaust plume in the first
set of sample points. O2 shows little signal, but Ar has
a clear and consistent gradient. Sampling was done on 8-11, when conditions
were ideal, but laboratory difficulties prevented recovery of results.
Wind speed and wave conditions on 8-12 were ideal, however the wind
had a slight northerly direction. The gradient is clearly visible
on 8-12 (Figures 8 and 9), with 1 m data being distinctly offset from
the 2 m data, but the gradient changes signs. In Figures 10a & b and
11a & b, the first five sampling periods for both O2 and
Ar show a gradient with higher values closer to the sea surface and
increasing with time.




The second set of sample periods show a reverse in both gradients
(Figures 10 and 11). An explanation for this eludes us.
The data are averaged and summarized in Table 1:
Increased concentrations are found nearer the sea surface in every
case but Ar on 8-4. Yet in this case the gradient is insignificant
compared to the standard deviation of the values. This is true for
both gases on all days but 8-12. Ideal conditions on 8-12, despite
the change in gradient sign, yielded the largest per Meg gradient.
Nevertheless, the gradient is still quantitatively indistinguishable
from the standard deviation, and we present our results merely as
a qualitative observation.
Conclusion
The possibility of measuring air-sea gas fluxes of CO2,
N2, O2, and Ar by the gradient method and mass
spectrometry is certainly real. Difficulties lie in resolving the
noise associated with experimental set-up, but could be corrected
with a more stable system-one floating on the sea surface would remove
the difficulties associated with waves. Automation of the system would
also allow collection of much more data. Furthermore, the data collected
in this study represent only a snapshot of time and space. Collecting
for years at a time and over different areas of the ocean could lead
to a much-improved understanding of air-sea gas exchange. As it stands,
the method seems qualitatively useful, with detectable gradients in
O2 and Ar most likely associated with summer warming of
the waters off La Jolla. Further work could lead to quantification
of air-sea gas fluxes-a large unknown in the global change equation.
References
Baldocchi,
D.D., B.B. Hicks and T.P. Myers, Measuring biosphere-atmosphere exchanges
of biologically related gases with micrometeorological methods. Ecology,
69, 5 1331-1340, 1988.
Bender, M., P. Tans, J.T. Ellis, J. Orchado, and K. Habfast, A high-precision
isotope ratio mass spectrometry method for measuring the O2/N2
ratio of air. Geochimica et Cosmochimica Acta, 58, 4751-4758 1994.
Fairhall C.W., J.E. Hare, J.B. Edson and W.R. McGillis, Parameterization
and micrometeorological measurement of air-sea gas transfer. Boundary-Layer
Meteorology, submitted 7 January 1999.
Keeling, R.F. and S.R. Shertz, Seasonal and interannual variations
in atmospheric oxygen and implications for the global carbon cycle.
Nature, 381, 218-221 1992.
Keeling, R.F., R.G. Najjar, M.L. Bender and P.P. Tans, What atmospheric
oxygen measurements can tell us about the global carbon cycle. Global
Biogeochemical Cycles, 7, 37-67 1993.
Keeling, R.F., S.C. Piper and M. Heimann, Global and hemispheric CO2
sinks deduced from measurements of the atmospheric oxygen concentration,
Nature, 381, 218-221 1996.
Liss, P.S., and L. Merlivat, Air-Sea gas exchange rates: introduction
and synthesis. In: The Role of Air-Sea Exchange in Geochemical Cycling,
edited by P. Buat-Menard, pp. 113-127, D. Reidel, Norwell, Mass. 1986.
Severinghaus, J.P., M.L. Bender, R.F. Keeling, and W.S. Broeker, Fractionation
of soil gases by diffusion of water vapor, gravitational settling,
and thermal diffusion. Geochimica et Cosmochimica Acta, 60, 6 1005-1018
1996.
Simpson, I.J., G.C. Edwards, G.W. Thurtell, G. den Hartog, H.H. Neumann
and R.M. Staebler, Micrometeorological measurements of methane and
nitrous oxide exchange above a boreal aspen forest. Journal of Geophysical
Research 102, D24, 29,331-29,341 1997.
Wanninkhof, R., Relationship between wind speed and gas exchange over
the ocean. Journal of Geophysical Research, 97, C5, 7373-7382 1992.
Wanninkof, R. and W.R. McGillis, A cubic relationship between air-sea
exchange and wind speed. Geophysical Research Letters, accepted 1999.
Journal of Young
Investigators. 2001. Volume Three.
Copyright © 2001 by J. Michael Beman and JYI. All rights reserved.
|
|
|