Download Simulation of multiphase physico-chemical processes occurring in

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Determination of equilibrium constants wikipedia , lookup

Citric acid cycle wikipedia , lookup

Redox wikipedia , lookup

Pedosphere wikipedia , lookup

Gas chromatography wikipedia , lookup

Particle-size distribution wikipedia , lookup

Atomic theory wikipedia , lookup

Colloidal crystal wikipedia , lookup

Multi-state modeling of biomolecules wikipedia , lookup

Inorganic chemistry wikipedia , lookup

Cocrystal wikipedia , lookup

Radical (chemistry) wikipedia , lookup

Physical organic chemistry wikipedia , lookup

Lewis acid catalysis wikipedia , lookup

Green chemistry wikipedia , lookup

Analytical chemistry wikipedia , lookup

Aerosol wikipedia , lookup

Acid strength wikipedia , lookup

Acid dissociation constant wikipedia , lookup

Acid rain wikipedia , lookup

Nuclear chemistry wikipedia , lookup

Nucleophilic acyl substitution wikipedia , lookup

Acid wikipedia , lookup

Acid–base reaction wikipedia , lookup

PH wikipedia , lookup

Hepoxilin wikipedia , lookup

Micellar liquid chromatography wikipedia , lookup

Liquid–liquid extraction wikipedia , lookup

Transcript
Simulation of multiphase physico-chemical processes
occurring in an orographic hill cap cloud
during the FEBUKO field campaign
LEIBNIZ-INSTITUT FÜR
TROPOSPHÄRENFORSCHUNG
H. Herrmann, A. Tilgner and Z. Majdik
A hill capped cloud passage experiment has been modeled by means of the SPACCIM model framework. The
measurement took place within the FEBUKO field campaign in October 2001 and 2002 in the Thuringian Forest.
Measurements were made at three sampling stations, in the village of Goldlauter (upwind station), at the summit
station Schmücke and in Gehlberg (downwind station). Simulations were made with an air parcel traveling along a
trajectory from Goldlauter across the orographic cloud to Goldlauter.
Height above sea level [m]
1000
Legend
total S(VI)
SO42HSO4-
2. 0
1. 5
1. 0
0. 5
0. 0
orographic cloud
5
upwind site
800
805
1005
1205
1405
downwind site
700
600
Lee-Site
732 m asl
10°47'32'' E
50°40'21'' N
Luff-Site
605 m asl
10°45'20'' E
50°38'25'' N
1000
2000
3000
4000
5000
6000
LWC
SuperSat
[l/m3]*104 [%] *103
Distance [m]
HSO3- + H2O2
HSO3- + H2O2
HSO3- + H2O2
HSO3- + CH3OOH
HSO3- + CH3OOH
HSO3- + CH3OOH
Fe2+ + SO4-
SO32- + O3
Fe2+ + SO4-
4
CH2(OH)2 + SO4-
2
0
4
2
0
0
200
400
600
800
1000
1200
1400
Time [s]
Cloud
Particle
Particle
Figure 1: Investigation area: topographic profile and region map with the trajectory
(red line).
The goal of the simulations was to investigate the multiphase chemistry occurring in orographic clouds and to
understand the incorporation and transformation of atmospheric trace constituents. Simulation results have been
compared with cloud water measurements at the summit and impactor measurements at the downwind station in
order to interpret the experimental data and for validation of the multiphase chemistry model. In total, 14 cloud
events were investigated. Out of these, three events were selected based on detailed analysis of meteorological
conditions. Within this analysis we investigated the existence of a connected flow between the three sampling
stations. Along with the synoptic situation also regional meteorological data was analyzed to verify the ability of the
air mass arriving at the upwind site to overflow the rim.
Model description and initialization
Within SPACCIM complex multiphase chemistry was coupled to a detailed microphysical model. The applied
explicit aqueous phase radical mechanisms currently consists of CAPRAM 2.3 (Herrmann et al., 2000) and
CAPRAM 2.4 (MODAC-mechanism, Ervens et al., 2003). The gas phase chemistry is described by the regional
atmospheric mechanism RACM (Stockwell et al., 1997). Phase transfer processes are treated by means of the
resistance model of Schwartz considering Henry's equilibrium, gas phase diffusion and mass accommodation
coefficients. For the simulations a fine resolved particle spectrum is considered. A total number of 64 size bins are
considered, where multiphase chemistry is considered in droplets where the LWC exceeds 1·10-12 l·m-3. In the
next future a feedback from the chemistry to the microphysics will also be implemented. The model was initialized
in the particle phase based on measurements with a five stage Berner impactor and a DMPS (Differential Mobility
Particle Sizer, Figure 3). In the case of the cloud event on the 27-th of October 2001, most of the mass was found
on the third impactor stage (Figure 2), which collects aerosol particles with a diameter between 0.42µm and 1.2µm.
Nitrate, sulfate, ammonium, organic and elementary carbon are the main components of the aerosol. In the case of
chloride and nitrate in order to correct losses encountered by the Berner impactor data from the Steam Jet sampler
were used and distributed over the impactor stages analogical to measurements made with the Berner impactor.
The initialization of dicarboxylic acids is based on impactor and spray collector measurements. To calculate the
water mass of the Goldlauter wet aerosol growth factors were used. The used growth factors were measured
during the ACE2 campaign, and are in a good agreement with the measured growth factors by a HTDMA analyzer
within the FEBUKO field campaign.
number concentration
Aerosol Composition 27.10.2001
mode1
mode2
mode3
14.0
Water
12.0
coarse mode
total
1000
Unknown residue
Calcium
10.0
Potassium
Sodium
8.0
Ammonium
Dicarboxylic acids
6.0
Chloride
dN/d(logDp) [cm-3]
Other metals
Magnesium
Impactor Stage Mass [µg/m³]
605
Gehlberg
0
100
10
Nitrite
4.0
Nitrate
Sulfate
EC
2.0
1
Water insoluble OC
Water soluble OC
0.0
1
0,14 - 0,42
0,42 - 1,2
1,2 - 3,5
10
3,5 - 10
Figure 2: Aerosol composition for the 2710-2001
100
1000
10000
D p [nm]
Particle Diameter [µm]
Figure 3: Measured particle number
distribution and calculated coarse mode
In the gas phase NO, NO2, O3 and SO2 were continuously measured, every 5 seconds, using commercially
available instruments. For the measurement of HNO2 and HNO3 the wet effluent diffusion denuder technique was
used. The measured organic species were implemented as stand alone species or were lumped together into
special groups as used in the regional atmospheric chemistry mechanism RACM. For some unmeasured species
initial concentrations were adopted from the urban CAPRAM standard scenario (MODAC final report) due to the
good correlation between measurements and the above mentioned scenario. Based on the experiments a realistic
transport time between Goldlauter and Schmücke of 10-20 minutes resulted, depending on meteorological
conditions. For the initial wind speed data from the measurement site of the German weather service station
located in Meiningen was used. For the cloud event on the 27th of October 2001 at 9.00 UTC an initial wind speed
of 4 m·s-1 was applied, which led to a simulation time of about 23 minutes from the upwind station to the downwind
Simulation results
Simulations carried out with CAPRAM 2.4 for the above mentioned cloud event showed that around 9.00 UTC a
coexistence of a night time chemistry, controlled by the NO3 radical, and a day time chemistry, controlled by the
OH readical, exists (Figure 4). The nitrate radical in the gas phase, before and after the cloud reaches a
concentration of about 3·107 molec. cm-3. In the presence of the cloud the NO3 concentration in the gas phase
decreases to about 1·107 molec. cm-3. In cloud conditions the most important sinks for NO3 are the the reactions
of NO3 with NO (about 40%) and NO2 (about 52%). Direct uptake of NO3 into the aqueous phase acounts for
about 2.5% out of the total sink processes in the gas phase. The OH radical has a very similar concentartion
profile.The gas phase concentration in the presence of the cloud
1000
Legend
decreases with a factor of two from about 6·104 molec. cm-3 to
OH
600
HO
3·104 molec. cm-3. In the gas phase, in cloud conditions, the
NO
300
most important sinks of OH are the reactions with NO2 (28%),
100
CO (17%), Xylene (15%), Isoprene (14%) and Formaldehyde
60
(2.5%). Phase transfer of OH into the droplets has a contribution
30
of about 2.5% to the total sink. Also, in cloud conditions the OH
concentration decreases due to a decrease with a factor of five
10
of the source concentration flux from the reaction of HO2 with
6
NO. This strong decrease appears due to efficient uptake of
3
HO2 in the aqueous phase. The most important sinks of OH in
1
the aqueous phase are the reactions with hydrated
5
205
405
605
805
1005
1205 1405
formaldehyde and formiate. During activation, before cloud
Time [s]
Figure 4: Concentration profile of the OH, HO2 and conditions, the most important sink reactions are the reactions
with HC2O4- and HSO4-.
NO3 radicals in the gas phase
concentration [molecules/cm³]
405
Time [s]
Mountain-Site
937 m asl
10°46'15'' E
50°39'19'' N
500
0,05 - 0,14
205
Schmücke
900
2
3
Figure 5 contains the concentration profile of SO42-, HSO4and the total S(VI) in function of simulation time. During cloud
conditions S(VI) mostly is found in the form of SO42-, while in
the acidic particles HSO4- is predominant. From the upwind to
the downwind station a sulfate production of about 4% was
modeled. Sulfate production proceeds mainly via the oxidation
of bisulfite by hydrogen peroxide, representing about 60%-80%
out of the total source of sulfate. Another important source of
sulfate is the oxidation of bisulfite by organic peroxides (about
5%-25%). A radical oxidation pathway including transition metal
ions seems to be especially important at the begining of the
simulation, before the air parcel enters into the orographic
cloud, accounting for about 25% out of the total source. A
comparison between measurements and simulation results at
the summit station Schmücke showed in general a relatively
good agreement. The observed pH value of 4.2 is exactly
reproduced by the model. In the case of nitrate and sulfate the
measured concentration is with a factor of 1.1 higher than the
simulated concentration. In the case of iron the measured
concentration is with afactor of 6.8 higher then the simulated
value. According to model results about 70% of iron is found in
the form of Fe(III).
Figure 5: SO42- and HSO4- concentration profile,
comparison between measurement and simulation
results at the summit and the downwind station, the
green and the red square representing the
experimentally determined
Particle or Droplet Diameter [µm]
Introduction
concentration [mol/m³] *108
Leibniz-Institut für Troposphärenforschung, Permoserstr. 15, 04318 Leipzig, Germany
32.8
2.12e-10
9.87e-11
24.6
4.59e-11
In the case of many organics, roughly a factor two
2.14e-11
difference between the measured and calculated
16.4
9.94e-12
concentrations exists, e.g. Glyoxal, Oxalate, Acetic acid.
4.62e-12
In Figure 6 the size-resolved concentration profile of
8.2
HC2O4- between the upwind and downwind station is
2.15e-12
showed. The concentartion is related to 1 m3 of air. The
1.00e-12
highest concentration occurs during activation and at
0.0
the earlier stages of the orographic cloud in droplets
0.0
350
700
1050
1400
with a diameter between 4µm and 12 µm. After the
Time [s]
summit, oxalate distributes over a wider size-range,
consequently the concentration decreases in the Figure 6: Size and time dependent concentration
profile of the oxalate monoanion in mol m-3
individual droplets.
CAPRAM 2.4
CAPRAM 3.0a
Total number of processes:
438
764
HOx / TMI
59
59
Bromine
17
17
Carbonate
21
21
Nitrogen
32
32
Chlorine
16
16
Equilibria
57
88
Sulfur
59
59
Organics
(C1-C2)
(C1-C4)
110
10
296
Photolysis
11
12
Figure 7: A comparative overview over CAPRAM
2.4 and CAPRAM 3.0 a
In detail CAPRAM 3.0 a considers the
oxidation, initiated by the OH radical, of
Glyoxylate, 1-Propanol, Propionaldehyde,
Propionaldehyde (hydrated form) Propanoic
acid, Propionate, 2-Propanol, Acetone,
Hydroxy Acetone, Hydrated Methylglyoxal,
Malonic acid, Malonate (dianion), Malonate
(monoanion), Pyruvic acid, Pyruvate,
Succinic
acid,
Succinate
(dianion),
Succinate (monoanion), Lactic acid,
Lactate, Glycolic acid, Glycolate, Acetic acid
hydroperoxide, Acetate hydroperoxide,
1-Butanol, Butyraldehyde, Butyraldehyde
(hydrated form), Butyric acid, Butyrate,
2-Butanol,
Methyl
Ethyl
Ketone,
2,3-Butanedione,
1,4-Dioxo
Butene,
2-Hydroxy
3,4-Dioxo
Butyraldehyde,
2-Hydroxy
3,4-Dioxo
Butyric
acid,
2-Hydroxy
3,4-Dioxo
Butyrate,
2,3-Dihydroxy
4-Oxo
Butyraldehyde,
2,3-Dihydroxy
4-Oxo
Butyric
acid,
2,3-Dihydroxy 4-Oxo Butyrate, Ethylene
Glycol, Glycolaldehyde, Glycolaldehyde
(hydrated form), 3-Hydroxy Pyruvic acid,
3-Hydroxy Pyruvate, 3-Oxo Pyruvic acid,
3-Oxo Pyruvate, Malic acid, Malate,
Oxalacetic acid, Oxalacetate, Tartronic acid,
Tartronate, Methyl Isobutyl Ketone, Ethyl
Formate, N Methyl Pyrrolidinone. Figure 8
contains the oxidation pathway of
1-Propanol implemented in CAPRAM 3.0 a.
Mechanism development
The aqueous phase radical mechanism CAPRAM 2.4 (Ervens et
al., 2003) considers the oxidation of organics containing up to two
carbon atoms. As starting point for the development of CAPRAM
3.0 a, the interim mechanism CAPRAM 2.5 was considered. In
CAPRAM 2.5 oxidation of organics, initiated by the OH radical,
containing up to four carbon atoms is implemented. In CAPRAM
3.0 a the set of reactions present in CAPRAM 2.5 was critically
reviewed and extended in the case of Acetone and Methyl Ethyl
Ketone. Also, the mechanism was further completed with the
oxidation mechanism of Methyl Isobutyl Ketone, Ethyl Formate
and others. For the simulation of multiphase processes occuring in
cloud droplets and aerosol particles, the obtained organic
chemistry module is coupled to the base mechanism CAPRAM 2.4
and to the gas phase mechanism RACM (Stockwell et al., 1997),
containing a total number of 1025 reactions . CAPRAM 3.0 a
stands for the full coupled CAPRAM 2.4 - extended organic
module mechanism. Figure 7 contains an overview of the
reactions implemented in CAPRAM 3.0 a.
CH3CH2CH2OH
(Gas phase)
CH3CHO
(Aqueous phase)
CH3CH2CH2OH
(1-Propanol)
O2
CH3CHO
(Acetaldehyde)
OHCC(O)COO(1,2-Dioxo Propionate)
OH
C2H5CHO
(Propionaldehyde)
O2
OH
O2
CH3CH2O2·
O2
CH3CH2CH(OH)2
(Hydrated
Propionaldehyde)
OH
O2
O2
OH
-CO2
OH
-CO2
C2H5COOH
(Propionic acid)
C2H5COO(Propionate)
O2 OH
O2
OH
-CO2
OH
CH3C(O)COO(Pyruvate)
O2
OH
O2
OH
O2
O2 OH
CH2(OH)C(O)COO(1-Oxo, 2-Hydroxy
Propionate)
CH3CH(OH)COO(Lactate)
CH3CH(OH)COOH
(Lactic acid)
O2 OH
CH3C(O)COOH
(Pyruvic acid)
Figure 8: Oxidation pathway of 1-Propanol implemented in
CAPRAM 3.0 a. Pyruvate and Lactic acid are formed from the
recombination of the peroxyl radical formed after the reaction of
OH with propionate.
Summary and Outlook
- Simulations of a hill capped cloud experiment were carried out
In CAPRAM 3.0 b the mechanism was considering detailed microphysics and complex multiphase chemistry
further extended, considering also the
oxidation of organics by the NO3 radical. - A comparison at the summit station showed a good agreement
Implementation of these reactions is between measurements and sumulation results
especially important for the night time - The chemical mechanism was further extended for a better
chemistry, when due to the low description of organic chemistry occuring in cloud droplets and
concentration of OH radicals, NO3 is the aerosol particles
most important oxidant in the tropospheric
gas and aqueous phase. Consideration of - In the next future the revised and extended chemical mechanism
extended organic chemistry in coupled CAPRAM 3.0 will be coupled to detailed microphysics for a more
microphysical-chemical models can be detailed analysis of chemical conversions occuring during the
critical for a correct interpretation of cloud experiment
passage experiments.