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show the ozone concentrations to decrease with time. Interpretation of
these trends, however, is somewhat speculative, given the various factors
affecting ozone concentrations in the troposphere. Additional evidence
of increasing ozone trends in continental environments include the observa-
tions at Arkona (GDR) and Hohenpeissenberg (FRG) and the historical account
constructed for Montsouris, France (Figures 2-10 and 2-11). At Arkona,
ozone increases between 1% and 3% or by 0.37 ppb per year,, if a linear
regression analysis is made. This station, which is continuously reporting
since 1956, has the longest record of recent times. Somewhat shorter,
starting in 1971, is the Hohenpeissenberg record where an annual increase
of 0.41 ppb is observed. Although, as seen in Figure 2-10, the two German
stations show somewhat different absolute levels of ozone over the time
that they can be compared, the trends in units of ppb per year are quite
comparable.
Crutzen5 and KLey and Volz6 have arrived at the conclusion that the
current trend of ozone in western Europe began about 1940. Compared to the
Montsouris series (Figure 2-11), which was obtained from 1876 to 1905 near
Paris, background ozone concentrations in Europe have increased since then
considerably7»8. An upward trend of the ozone concentration has been
observed in the free troposphere and the upper part of the boundary layer
between 1967 and 1982 over South Germany at Hohenpeissenberg (Figure 2-
12)9. Measurements from East Germany10 support the ozone increase near the
surface between the mid-1950's and 1984; however, they do not show a
significant ozone increase within the free troposphere at 5.5 Rn altitude
in the monitoring period 1975-84. Model calculations11 suggest that this
ozone increase can be attributed to the increase of NOX emissions.
An increase of background ozone might be occurring in most parts of
the Northern Hemisphere. Monitoring data suggest that increases are occur-
ring, for example, at Barrow, Alaska and Mauna Loa, Hawaii (see Figure
2-9). The latter station, situated at an altitude of 3000 m, samples air
that is characteristic of the free troposphere. Therefore, two stations,
apart by nearly 180° of longitude experience a similar phenomenon.
It is extremely important for the assessment of the role of ozone
transport to know the,, latitudinal dependence of this molecule between the\
North American and European Continents. No trends of ozone have been
reported over the Atlantic Ocean. The meridional cross section of surface
ozone is reproduced in Figure 2-13. It was obtained mostly along the 30°
meridian. The simultaneously measured -vertical ozone profiles are also
reported in Figure 2-13. They show that, north of 20° northern latitude,
there was hardly any vertical gradient of ozone in the lower troposphere so
that the surface values are representative for the lower troposphere. A
comparison of Figure 2-13 with the values measured at Hawaii (20°N) and
Boulder (40°N), respectively (see Table 2-2), shows good agreement at
corresponding latitudes. Figure 2-13 represents the best information on
the large scale features of surface ozone between the American and European
continent. It is not possible, at present, to specify the surplus of
background ozone in the Northern over the Southern Hemisphere in terms of
anthropogenic causes versus natural ones, i.e. a higher flux of ozone from
-------
7-A
50-
=§30-
0=
10-
0
Hohenpeissenberg
Arkona
-T—i—i—|—r-
1955 1960
1965
1970 1975
Year
1980
1985 1990
Figure 2-10. Ozone Trends in Hohenpeisseriberg (FRG) and Arkona (GDR)
-------
7-B
30.
Aricona
20
Montsouris
10
1850
19GO
1950
2000
Year
Figure 2-11.
Near surface ozone concentrations (annual means)
measured at Montsouris, France 1876-1905 and
Arkona, German Democratic Republic 1956-1984.
-------
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HIM
Sommer fApt.-SepU
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19M (67/681
1974 (73/71}
1971 (75/76)
1911 (N/11)
1982 (61/B2)
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10 20 30 UJ SO
V 20 30 W §0
Figure 2-12. Vertical ozone distribution over Hehenpeisseriberg,
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10
research groups or within other international bodies) established the
OEGD/CEC inventory as the most complete and accurate one currently available
for Western Europe. Nevertheless, concrete estimates of overall reliability
and completeness are still lacking. For some individual source sectors
uncertainty calculations have been carried'out. For vehicular ^ NOX emis-
sions, for example, Eggleston and Mclnnes^ calculated an uncertainty of 40%
which compared well witi^ uncertainties measured in UK of 15% for S02, 45%
for NOX and 80% for VOC1'.
3.2 Emissions in the US
3.2.1 Anthropogenic Emissions in the US
Emission inventories used in the modeling of ozone concentrations must
include the major precursor species, NOX, hydrocarbons and CO. In the US
major efforts have gone into producing nationwide emission inventories for
the base years of 1980 and most recently, 1985. The inventory is constructed
by assimilating annual emissions from major point sources provided by the
individual states with estimates of area source emissions generally made by
the USEPA using surrogate activity-level indicators for the emissions, such
as statistics on VMT (vehicle miles traveled), population, housing, employ-
ment, etc. The level at which the area source emissions are estimated are
annual totals by county within each state. The emissions must then be
"disaggregated" to produce hourly gridded emissions for use by the air
quality models. Spatial, temporal and species allocation factors must be
applied to the annual point and area source emissions to accomplish the
disaggregation. Considerable uncertainty is introduced into the emissions
estimates by the disaggregation process (see later discussion of uncertain-
ties) .
The inventories are constructed such that total mass emissions are
estimated for certain "classes" of emissions. For example, exhaust emis-
sions from light-duty vehicles (most automobiles) might be one class,
architectural surface coatings would be another, domestic solvents another,
etc. Classes exist for every major industrial, commercial and residential
point or area source emissions class. This is the Source Classification
Code (SCC) system, an important building block in the emission inventory
process. A profile of individual compounds with their associated weight
percentages exists for each SCC code. In the disaggregation process the
individual organic species are "lumped" together into similarly-reacting
groups of compounds, such as olefins, paraffins, etc., in order to minimize
the total nvmber of species carried in the final gridded inventory. The
particular groupings of organics are somewhat dependent on the chemical
kinetic reaction scheme used by the air quality model.
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11
Table 3-4.
1980 Continental US Emissions (NAPAP-Version 4.0) by Source Category
(1,000,000 tons/year)
VOC
Electric Utilities
Industrial Combustion
Residential/Commerical Combustion
Non-ferrous Smelters
Other Industrial Processes
Transportation
Miscellaneous
17.3
3.7
0.9
1.2
3.0
0.9
0.1
8.1
4.5
0.7
1.0
9.1
0.3
0.1
1.0
0.1
4.5
8.0
9.6
Total 27.1 23.7 23.3
Tables 3-4 and 3-5 present a summary of total anthropogenic emissions
from the continental US and Canada from the NAPAP-Version 4.0 and 5.0 (final)
emissions inventory for 1980.
3.2.2 Biogenic VOC Emissions in the US
Biogenic emissions of organic species have been estimated for the
US in several recent studies. Regional modeling tests show that these
compounds contribute to the total reactivity of the lower troposphere when
sufficient NOX is present. Emission factors for isoprene and monoterpenes
have been estimated for many tree, crop and grass species in the US. The
total mass of individual species have been estimated from land-use invento-
ries satellite imagery. Although estimates of biogenic emissions are still
in crude stages, the total mass of biogenic organics (29,000 tons/day) is
of the same order of magnitude as the anthropogenic organics in the North-
east US where there are large contributions from the anthropogenic side.
In the Northeast US, the total biogenic hydrocarbon is estimated to be 41%
monoterpene, 18% isoprene, and 42% unidentified organics.
3.2.3 Emissions Uncertainties in the US
Estimates of uncertainty in the 1980 US inventory have been made
subjectively by a panel of experts in the development of inventories.
Table 3-6 shows these estimates for some of the principal component steps
in the inventory developent process for both anthropogenic and biogenic
emissions. The uncertainties in VOC are generally greater than those in
either NOX or CO, and the species and temporal allocation processes intro-
duce the greatest components of uncertainty in the emissions disaggregation.
For the biogenics (Table 3-7), the temperature-dependence of the monoterpene
emissions is a very uncertain factor. The estimated composite error Table
3-8) in the hourly gridded emissions varies from 109% for the bioeenic VOCs
to 33% for NO-sr. .
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11-D
Table 3.8
UNCERTAINTY ESTIMATES
(Composite From All Sources of Uncertainty)
1980 ROM Grid-level
Hourly Emissions
Percent Error
_CP_°JQl &. Ar?9l_ .(Area _0n !y)
Speciated VOC
(Anthropogenic)
Speciated VOC _ ino
(Biogenic) 1U9
Speciated NOV 32 33
/\
CO 49 54
-------
12
It is generally accepted that the anthropogenic VOC inventory has been
underestimated. Indications of this come from a number of areas, including
the disparities in the. VOC/NOx ratios in the emission inventories and 6-9
am ambient data (see next section), and the exclusion of some known VOC-
eraitting source types, including hazardous waste treatment facilities.
The 1985 US inventory effort has made great strides in correcting many
of the known deficiencies in the process of building an inventory. Among
the improvements are the development of methodologies for missing source
types, temperature-dependence of evaporative emissions from mobile sources,
updating and improvement of temporal and speciation allocation factors,
formalized and rigorous quality assurance procedures, and a high level of
coordination with state and local pollution agencies involved with assimi-
lating data for the inventories.
3.2.4 Ambient VOC/NOx and VOC Composition in IB
In 1984 the USEPA started an urban VOC data collection program that
continued through 1988. In this program, local agencies collected 6-9 am
integrated ambient air samples using SUMMA polished stainless steel canis-
ters. These were shipped overnight to an EPA laboratory where they were
analyzed by three different groups. In addition to using the cryogenic
preconcentration direct flame ionization detection method (PDFID)10, a
large number of the canisters (ca. 900) were selected for detail speciation
using gas chroraatography19'20. The program involved extensive quality
assurance procedures and the results demonstrate excellent precision and
accuracy: on repeat analysis of 155 samples the precision for total non-
methane organic compound concentrations (NMQC) was 0.49% and on fully
duplicate samples (i.e. two canisters were collected) the precision was
1.69%. Two different laboratories had an absolute agreement of 8.9% and
the sum-of-species from the gas chromatographic method was 2.4% lower than
the principal laboratory total VOC from the PDFID method. The mean 6-9 am
NMOC concentration over 22 cities was 0.756 ppmC.
These NMDC ambient data have been used in a number of EPA studies.
One study computed the median ambient urban NMOC/NOx concentration ratios
for several US cities. These results are shown in Table 3-9. The median
NMOC to NOx ratio was 13.9 ppmC/ppm. Table 3-10 shows NmC/NOx ratios
computed from the NAPAP 4.2 Emissions Inventory for a number of US cities.
The median value was 3.9 ppmC/ppm. It is this type of discrepancy that
strongly suggests that many NMOC sources may be missing in the current US
inventories.
The gas chromatographic analysis of hydrocarbons in 772 canisters has
been used for the purpose of producing chemical mechanism speciation,
especially for use in the OZIPM/EKMA method21. As part of this analysis,
the 20 species with the highest concentration in each canister were analyzed
for frequency of appearance. Table 3-11 lists the 100 most frequently
occurring compounds. Toluene appeared in the 20 highest concentration
species in every canister. The 15th most prevalent species (1,2,4-trimethyl
benzene) appeared in the 20 highest concentration species in 75% of all the
-------
12-A
Table 3-9. Median Ambient Urban* MOC-to-NOx
Concentration Ratios During 1984
EPA Region Site Ratio (No. of data)
III Philadelphia 19.6 (45)
Wilkes Barre 14.3 (53)
Richmond 10.5 (62)
Washington 9.4 (54)
IV Memphis 13.9 (35)
Chattanooga 16.8 (37)
Charlotte 10.4 (55)
Birmingham 11.7 (51)
Atlanta 10.5 (52)
hiami 13.3 (15)
W. Palm Beach 14.3 (60)
V Akron 12.8 (49)
Cincinnati 9.1 (51)
Indianapolis 8.3 (50)
VI Beaumont 25.3 (45)
Clute 23.7 (52)
Dallas 16.0 (69)
El Paso 15.3 (60)
Fort Worth 11.6 (58)
W. Orange 50.0 (41)
Texas City 37.7 (52)
VII Kansas City
Median of Medians 13.9 (21)
*In the Central Business District
Source: Richter, H. G., F. F. McElroy, V. L. Thompson, 1985: Measurement
of Ambient NMHC Concentrations in 22 Cities During 1984. Paper
85-22.7, Preprint Volume, 78th Annual Meeting Air Pollution
Control Association, Detroit, Michigan, June 16-21.
-------
12-B
Table 3-10. . NMHC/NOx Emissions Ratios of Urban Counties
(Based on NAPAP 4.2 Emissions Inventory)
Urban Counties with Highest VOC Emissions Flux:
County Ratio
1. New York, NY 3.15
2. Queens, NY 3.93
3. Baltimore City, MD 8.25
4. Philadelphia, PA 3.70
5. Richmond, NY 4.97
Mean 4.80
Median , 3.93
Urban Counties with Highest NOx 'Emissions Flux:
1. New York, NY . - 3.15
2. Hudson, NJ 1 .49
3. Queens, NY 3.93
4. Union, NJ 2.91
5. Philadelphia, PA 3.70
Mean , 3.04 .
Median . 3.15 .
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12-C
Table 3-11.
The One-Hundred Most Frequently Observed
Hydrocarbons in 29 U.S. Cities
Total Number of Canisters = 773
Ave NMHC (ppbC) = 761.0 Max NHHC = 2764.6 Min NMHC = 175.7
Rank Name
1 TOLUENE
2 n-PENTANE
3 ISOPENTANE
4 n-BUTANE
5 m&p-XYLENE
6 2-METHYLPENTANE
7 ETHANE
8 ETHYLENE
9 BENZENE
10 PROPANE
11 3-METHYLPENTANE
12 ISOBUTANE
Mean
6.0%
3.7%
7.4%
7.1%
3.3%
2.5%
4.4%
3.9%
2.2%
5.0%
1.8%
3.3%
13 n-HEXANE,2-ETHYL-1-BUTENE2.0%
14 ACETYLENE 2.6%
15 1,2,4-TRIMETHYLBENZENE 2.0%
16 o-XYLENE 1.5%
17 2,2,4-TRIMETHYLPENTANE 1.5%
18 PROPENE 2.1%
19 2-METHYLHEXANE 1.5%
20 p,m,o-METHYLSTYRENE 2.6%
21 2-METHYLPROPENE.BUTENE-1 1.5%
22 METHYLCYCLOPENTANE 1.4%
23 ETHYLBENZENE 1.6%
24 C10 AROMATIC 2.0%
25 3-METHYLHEXANE 1.4%
26 unknown 2.2%
27 C11 OLEFIN 2.0%
28 n-HEPTANE 1.3%
29 m-ETHYLTOLUENE 1.4%
30 2,3-DIMETHYLPENTANE 1.7%
31 1,2,3-TRIMETHYLBENZENE 4.1%
32 n-DECANE 1.7%
.33 a-PINENE 4.9%
34 METHYLCYCLOHEXANE 1.3%
35 CYCLOHEXANE 3.2%
36 C8 PARAFFIN 1.7%
37 1-ME-4-ISOPROPYLBENZENE 2.3%
38 C6 PARAFFIN 2.9%
39 C9 OLEFIN 6.2%
40 C10 AROMATIC 2.4%
41 C11 AROMATIC 1.8%
42 C11 PARAFFIN 2.7%
43 2,2,3-TRIME-1-BUTENE 2.0%
44 C11 AROMATIC 1.9%
45 C10 PARAFFIN 2.8%
46 ISOPRENE 1.9%
47 C-2-PENTENE 2.0%
48 1,3-BUTADIENE 3.4%
49 C9 PARAFFIN 2.2%
50 1.2-DIKE-3-ETHYLBENZENE 1.8%
ppbC Max
45.4 18.7%
27.9 16.0%
56.5 19.4%
54.3 22.4%
24.6 12.4%
19.1 5.6%
33.3 22.5%
29.1 30.3%
17.0 9.4%
37.6 25.6%
14.0 6.2%
24.8 21.n
15.8 8.5%
19.3 12.3%
14.8 7.4%
11.0 4.2%
12.1 2.4%
17.2 20.2%
11.3 3.4%
16.3 15.8%
11.2 9.3%
12.8 14.2%
13.7
9.7
11.8
14.4
10.7
13.1
10.3
14.3
18.1%
5.4%
4.2%
15.0%
7.6%
3.3%
2.5%
3.6%
30.2 21.8%
13.6 3.5%
45.3 16.3%
12.2 7.2%
28.1 20.6%
12.9 4.5%
13.6 7.1%
14.4 9.3%
53.4 13.6%
25.0 4.8%
8.8 5.6%
10.4 11.5%
14.7 8.3%
6.5%
5.1%
6.0%
10.3%
22.1
29.6
8.8
17.3
Min Cans
1.1% 773
0.8% 769
0.7% 768
1.8% 766
6.6% 758
0.8% 753
1.1% 752
0.9% 746
0.7% 745
1.1% 739
0.7% 712
1.1% 707
1.1% 678
0.7% 665
0.8% 647
0.7% 485
0.6% 420
0.8% 414
0.7% 379
0.6% 306
0.7% 221
0.7% 202
0.9% 146
0.8% 128
0.8% 127
0.6% 123
0.6% 113
0.6% 102
1.1% 99
0.9%
0.6%
0.8%
0.9%
0.7%
0.6%
0.7%
0.9%
1.2%
0.7%
1.0%
0.9%
0.7%
0.6%
0.8%
0.9%
22.7 10.4%
17.8 12.6%
1.0%
0.9%
0.6%
1.2%
12.2 3.8% 1.0%
76
73
71
59
52
43
42
42
41
39
37
33
29
26
25
25
25
19
18
18
18
Rank Name
51 n-NONANE
52 C10 PARAFFIN
53 t-2-BUTENE
54 C10 AROMATIC
55 C9 PARAFFIN
56, n-OCTANE
57 C6 PARAFFIN'
58 C10 PARAFFIN
59 PARAFFIN
60 UNKNOWN
61 2,3-DIMETHYLBUTANE
62 2-METHYL-2-BUTENE
63 C3 PARAFFIN
64 C7 PARAFFIN
65 C5 OLEFIN
66 2-METHYL-1-BUTENE
67 t-2-PENTENE
68 C10 PARAFFIN
69 C7 PARAFFIN
70 C6 OLEFIN
71 C10 PARAFFIN
72 C8 OLEFIN
73 C6 OLEFIN
74 ISOPROPYLBENZENE
75 3,3-DIMETHYLPENTANE
76 C10 PARAFFIN
77 c-2-BUTENE
78 C6 PARAFFIN
79 C7 OLEFIN
80 C6 OLEFIN
• 81 C10 PARAFFIN
82 C3 PARAFFIN
83 CYCLOPENTANE
84 delta-3-CARENE
85 C8 PARAFFIN
86 C7 PARAFFIN
87 C11 PARAFFIN k
88 2-METHYL-2-PENTENE
89 C5 OLEFIN
90 C12 AROMATIC
91 C10 PARAFFIN
92 C9 PARAFFIN
93 C12 PARAFFIN
94 C9 AROMATIC
95 c or t-2-HEXENE
96 C12 AROMATIC
97 2,2,5-TRIMETHYLHEXANE
98 2,4-DIMETHYLHEPTANE
99 C5 OLEFIN
100 C4 OLEFIN
Mean
2.2%
2.2%
1.5%
1.7%
2.0%
3.4%
2.0%
1.8%
2.1%
9.8%
1.4%
2.3%
3.5%
2.4%
3.1%
1.2%
2.4%
1.7%
1.7%
1.7%
4.9%
1.5%
2.7%
3.1%
2.3%
2.7%
1.3%
1.8%
1.7%
1.9%
5.2%
1.8%
1.1%
4.4%
1.2%
1.5%
1.1%
2.4%
2.2%
1.7%
3.7%
1.6%
1.4%
1.5%
3.8%
1.3%
1.1%
1.6%
3.3%
1.4%
ppbC
17.9
25.1
15.3
19.8
10.3
18.8
13.2
16.9
9.3
121.9
21.4
22.3
21.6
11.6
31 .'9
9.3
20.7
9.2
20.8
12.8
31.7
7.7
26.6
12.8
10.7
12.0
17.4
11.7
5.4
16.0
31.9
21.4
15.1
51.0
13.0
5.5
3.6
20.0
8.2
5.8
32.9
11.6
9.0
12.5
22.2
6.3
6.8
3.6
59.9
15.7
Max
5.4%
0.1%
3.5%
3.3%
3.1%
0.4%
3.9%
4.2%
6.3%
1.7%
2.5%
1.8%
0.1%
4.0%
8.9%
2.0%
0.6%
2.1%
4.3%
2.8%
7.7%
1.9%
8.7%
6.6%
3.4%
6.2%
1.8%
3.4%
2.1%
2.4%
8.7%
2.4%
1.7%
7.4%
1.3%
2.4%
1.3%
3.0%
3.1%
2.0%
4.7%
2.2%
1.9%
1.7%
4.2%
T.5%
1.5%
1.7%
3.4%
1.5%
Min
1.0%
1.0%
0.9%
1.0%
1.2%
1.2%
1.2%
1.1%
0.9%
5.5%
0.8%
1.0%
1.2%
1.2%
1.3%
0.8%
1.0%
1.1%
1.1%
1.0%
2.5%
1.3%
1.0%
1.2%
0.7%
2.0%
1.0%
1.4%
1.3%
1.1%
2.1%
0.9%
0.8%
1.4%
1.0%
1.1%
0.8%
1.6%
1.4%
1.2%
1.4%
1.5%
1.1%
1.2%
3.2%
1.2%
1.0%
1.4%
3.1%
1.4%
Cans
17
17
15
15
14
13
12
12
12
11
10
9
9
8
8
7
7
7
6
6
6
6
6
6
5
5
5
5
5
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
2
2
2
2
2
2
-------
13
canisters, the 25th most prevalent species (3-methyl hexane) appeared in
15% of the canisters, and the 50th most prevalent species (1,2-dimethyl-
ethyl benzene) appeared in only 2% of the canisters. The aromatics toluene,
ra-xylene, and p-xylene and the C4, C5, and C6 alkanes dominate the top 10
species in the canisters. As will be discussed in a later section, these
are the species for which the chemical mechanisms are the most uncertain.
-------
14
4.0 CHEMICAL AND METEOROLOGICAL PROCESSES
4.1 Chemical Processes. Chemical Mechanisms and Models.
It has been established through numerous laboratory and field studies
that photochemical ozone and other oxidants are products of atmospheric
reactions involving organic pollutants (VOC), nitrogen oxides (NOX) and
sunlight. It is also established that the roles of the VOC and NOV precur-
sors in the mechanism of these reactions are so involved that only through
complex kinetic mechanistic modeling is it possible to determine the magni-
tudes, and even the^ direction of the effects of precursor controls on
ozone. Thus, photochemical kinetics models are indispensable in develop-
ment of ozone control strategies. Chemical mechanism models must of
necessity be simpler than the system they represent. Further, they can
only include what is present knowledge of the actual chemical processes
and they well may include distorted representations of apparently known
processes. Increases in computer resources have resulted in increases in
the level of detail allowable in chemical mechanisms and still have them be
feasible to solve; presumably a more detailed representation could lead to
more accurate predictions. In addition, the continual increase in fundamen-
tal ^kinetics knowledge (the detection of new reactions, the measurement of
their_rate constants, and the elucidation of the reaction pathways of
organic compounds) leads to a continual improvement in the accuracy of the
model s representation and therefore to potentially better predictions for
untestable conditions.
To prevent models from being the mere opinion of their developers all
models that have been used in regulatory applications in the US have had
T^flSrf011 i?gainf-, ^P™ntal dat*. ^^lly smog chamber, data.
interestingly, all model developers claim to have "fit the test data"
reasonably well. For many of these models, however, subsequent laboratory
research has revealed that many of the model's representations were incoi>
rect and that _ they fit the test data because of various compensating errors
in the mechanism, or because the test data were too few, or that critical
input parameters for the test data were poorly known, or that the test data
were simply too poor in quality to adequately exercise the weakest parts of
w^h H?S1CS r 6lS °r t0.be US6ful in distinguishing between two models
with different representations. Thus, in the presence of such conditions,
there has _ been a continual series of kinetics mechanisms "improvements"
and, lagging somewhat behind these theoretical developments, there has been
the production of experimental data to test and refine the mechanisms.
wirt, ?f th| difflcultief in testing perhaps imperfect mechanisms
?hi Ti??ST LTer5eCt^data' and
-------
15
evaluation have merits, "evaluation against smog chamber data provides the
most unambiguous test of urban atmospheric photochemical mechanisms". They
also agreed, however, that there are uncertainties associated with the smog
chamber data. For example, there are uncertainties associated with the
representation of chamber radical sources and of photolytic rates in outdoor
chambers, with smog chamber measurement errors, and with the representation
of as yet unknown reaction pathways.
European investigators also agreed that it is important to ensure the
fullest possible testing of the chemical mechanisms against smog chamber
data. They also feel, however, that a further evaluation stage is required
which has been shown in Europe to be invaluable in providing policy guidance
for the ozone problem. This involves evaluation against a benchmark chemi-
cal scheme in a quasi-realistic scenario application. This evaluation has
been performed using complete and condensed versions of schemes, to provide
benchmark secondary pollutant concentrations and chemical reaction flux
diagnostics. These will have a vital role to play in the subsequent evalua-
tion of control strategies determined from applications of the schemes
within large integrated modeling studies.
Today's situation is that mechanisms suitable for regulatory use
contain three types of reactions:
1) The first class of reactions are those which are well characterized
by the kinetics research community and appear in major reviews such
as those published by the NASA, CODATA, and IUPAC Groups. At
present these include about 360 reactions which are mostly inorga-
nic, but there are data sheets on organic reactions for molecules
up to three carbons. All acceptable chemical kinetics mechanisms
include the most important of these reactions at their consensus
rate constants. The different chemical mechanisms are essentially
identical for this portion.
2) The second class of reactions are those which are known to occur
and for which subsequent reactions of the products are fairly well
characterized, but for which absolute rate constants are unknown.
Thus, acceptable chemical kinetics mechanisms will include these
reactions, but may have different rate constants, resulting in the
same products being formed, but at different rates and magnitudes.
"Model tuning" to experimental data is often used to select these
parameters. The C3+ olefin reactions and C6+ alkanes are in this
class.
3) The third class of reactions are those which are known to occur,
but for which the subsequent reactions after the initial one are
essentially unknown. Thus, chemical kinetics mechanisms will
include the first reaction at a consensus rate, but subsequent
reactions and rates are based on the beliefs of the mechanism
author. Therefore, not only are the parameters in the reactions
the result of "model tuning", the whole reaction scheme is produced
this way. All of the reactions of aromatic compounds are in this
class.
-------
16
In addition to these classes of reactions, to deal with the complexity
of the hydrocarbon chemistry, two different methods for generalizing their
chemistries have evolved: the "lumped molecule" or surrogate species
approach, and the "lumped structure" or carbon bond approach. In the
former, the nearly explicit chemistry of a particular molecule is chosen to
represent the chemistry of an entire class of compounds, i.e. propene may
represent all terminal olefins. Carbon number differences are ignored when
molecules are assigned to surrogates. In the latter, each molecule to be
represented is broken into different model species such that all the carbon
is accounted for. The model species are organized around carbon bond types.
In this scheme, propene would be assigned to two model molecules: to OLE,
which is a two-carbon double bond entity, and the terminal carbon on propene
would be assigned to PAR, which is a single carbon entity. Carbon concentra-
tion is conserved in the latter. In actual practice, each kinetics mechanism
uses a combination of methods to represent the complex urban hydrocarbon
mix.
Presently, the mechanisms most comprehensively evaluated against smog
chamber data are the latest versions of the Carter, Atkinson, Lurmann (CAL)
mechanism" and the Carbon Bond (CB4) mechanism2^. The CAL mechanism is a
132-reaction step scheme that uses the "lumped-molecule" approach. The
CB4, an 81-step mechanism, uses a "lumped-structure" approach. Other
pertinent distinguishing characteristics of the two mechanism are summarized
in Table 4-1.
The CAL mechanism was evaluated by comparing mechanistic predictions
of ozone yields with yields observed in smog chamber irradiations of a
•variety of VOC, NO^ mixtures. The smog chamber data used were obtained
from some 490 experiments carried out in three indoor and. outdoor chambers
of the Statewide Air Pollution Research Center, U. California/Riverside,
and one outdoor dual chamber at the U. North Carolina/Chapel Hill. A
comparison of CAL-predicted and CB4-predicted maximum ozone concentrations
with concentrations observed in the smog chamber is shown in Figure 4-1.
Both mechanisms' predictions agree with the smog chamber data within 30%
(with a few exceptions), a performance which at first glance appears
quite satisfactory. Such comparisons, however, are not of unquestionable
validity.
These evaluations were done independently by the respective model
developers, using somewhat different sets of smog chamber data and different
evaluation procedures. They used different assumptions regarding light
characterization, chamber effects, and in some cases different sets of rate
constant values. The mechanisms have different parameters for the yields
of radicals and products for propene and differ significantly in their
description of aromatics oxidation pathways. In addition, the mechanism
tests ignored the side-to-side test conditions in the UNC dual chamber,
i.e. performances were assessed independently for each side, even though
the data were paired.
-------
16-A
Table 4-1. Characteristics of the CB4 and CAL Mechanisms for Ozone
Characteristics
Mechanism Type
Number of Reactions
Inorganic Reactions
Organic Reactions
Photolytic Reactions
Number of Species
Inorganic Species
Primary Organicsb
or bonds representing
ambient VOC mix
Alkanes
Alkenes
Aromatics
Biogenic VOCs
Aldehydes
Non-Reactive VOCs
Organic Products
Organic Radicals
CB4
Lumped Structure
81
30
40
11
34
15
9
1
2
2
1
2
1
4
6
CAL
Lumped Molecule
132*
29
86
17
51
15
12
2
3
3
-
3
1
13
11
alncludes pseudo-first-order reaction to represent methane oxidation with
a global methane concentration of 1.85 ppm
bOrganics or bonds for which either emissions or initial conditions should
be specified
-------
16-B
-8
4->
• MO AM
Measured Ozone
1JD
a
a
\*
I
c
o
•a
I
O EC 7-Compon«nt
<*> ITC 4 OTC 0-Compon«nt
UNO Multi-Component.
A ITC 4-Componont
UNO 3-Compon«nt
GAL Mechanism
T 1 1 1 1 1 1 T
03 0.4 0.6 ' 0.8
Maximum OZOM (pom)
Figure 4-1. Scatter diagrams comparing model-predicted maximum ozone
concentration versus measured values in several smog
chambers
-------
17
Following the developers tests, a comparison and test of the two
mechanisms using selected UNC chamber data and uniform sets of input
parameters and conditions was carried out at UNC25. The first step was to
reconcile the different rate constants each mechanism used for the inorganic
and carbonyl chemistries. Then a detailed characterization of the actinic
flux in the outdoor chamber was used to re-specify the photolytic rates
used in both mechanisms. Finally, a comparison of different methods for
representing the chamber background reactivity was conducted. The mecha-
nisms were then exercised over a series of "hierarchy of species" tests.
Using exactly the same inputs to each mechanism, the results for NCx, 03,
and the principal HCs were that:
a) Both mechanisms were in excellent agreement with each other and
with data for formaldehyde-NOx experiments;
b) Both mechanisms were in very good agreement with ethene until the
very end of the experiment where the reactivity of CAL decreased
slightly compared to the data and to CB4; this decrease in CAL was
due to different radical termination chemistry than CB4;
c) CAL was in better agreement with propene experiments than CB4
which was too reactive due to a higher radical yield in the ozone +
propene reactions;
d) Both did poorly for 1-butene experiments;
e) CAL was significantly better at simulating t-2-butene experiments
than was CB4; this is because CAL has an explicit representation for
t-2-butene and CB4 uses two ALDs as a surrogate representation
which results in very slow initial chemistry in CB4;
f) CB4 was significantly better at simulating toluene experiments;
CAL was significantly better for xylene;
g) Both mechanisms often did better at simulating mixtures of
hydrocarbons with all classes present than they did simulating the
individual components of the mixtures;
h) Both mechanisms simulated a 16-component synthetic automobile
exhaust mixture experiment very well, including the effects of
replacing 1/3 of the mixture carbon with methanol;
i) Both mechanisms were uniformly too reactive for synthetic urban
hydrocarbon mixture (18-components) experiments although the
ethene, propene, and toluene decays were well fitted;
j) Neither mechanism did well for cool conditions and neither mecha-
nism predicted formaldehyde as a product very well, being too low
in the olefin systems and too high in the aromatic systems.
-------
18
The conclusion from this comparison study was that while the two
mechanisms sometimes differ in comparison with chamber data, in many cases,
neither is superior to the other. Much of the difference between the
mechanisms arises from the differences in "model tuning" against chamber
data^ which was used by the developers to estimate the parameters in the
olefin and the mechanistic pathways and parameters in the aromatics chemis-
try. These choices become confounded with the choices made for photolytic
rates, that is, the light characterization of the chambers, and with the
choice of wall radical representations, that is, with the quality of the
chamber characterization and its representation. While the use of more
uniform assumptions could narrow the difference between the two mechanisms,
real advancement in mechanism quality awaits improved kinetics data on rate
constants and pathways for secondary reactions. Improvements in the data
would result from a mechanistic understanding of chamber radical sources.
This issue of proper evaluation of chemical mechanisms was discussed
exhaustively in USEPA's 1987 Workshop on Mechanism Documentation and
Evaluation^. One key recommendation arrived at by the participants—and
endorsed in this Workshop—was that several review groups be established
for the purpose of periodically assessing the state of knowledge and
establishing consensus opinion in several domains, namely: accuracy of
kinetic data, validity of mechanistic pathways, quality of smog chamber
data, and mechanism evaluation (against smog chamber data) protocols. With
the exception of kinetic data accuracy, no such review activities are
currently in existence. With respect to kinetic data evaluation, two review
panels have been in existence for the past 12 years: a NASA panel and a
CODATA Task Group. The NASA panel has produced at regular intervals a
total of eight reports containing evaluated data on approximately 200
thermal and photochemical reactions. The CODATA Task Group, recently
replaced by an IUPAC sub-committee has just completed its fourth evaluation
which now includes data sheets for 360 reactions of atmospheric interest
including organic molecules containing up to three carbon atoms. Such an
evaluation, which involves detailed assessments of the laboratory studies
along with estimations of error- limits is clearly an excellent starting
point for considering a detailed mechanism for the formation of photochemi-
cal oxidant in the troposphere.
It is doubtful, however, in terms of the long time scale for detailed
kinetic data Devaluation, if the present efforts of these panels will ever
reach the point of including a reasonably complete set of evaluated data
for the enormous range of possible reactions in the polluted troposphere.
It is likely that future evaluations by the IUPAC sub-committee, in particu-
lar, will be expanded by including assessments of only key reaction types
for the more complex organic species.
To fill the present gap between the individual reaction approach of
the evaluators and the detailed mechanistic requiranents of the atmospheric
modellers, it would be desirable to set up an international panel with the
task of preparing a consensus mechanism for tropospheric photo-oxidative
degradations or.organic species in the NOx polluted troposphere.
-------
19
4.2 Meteorological Processes. Pollutant Transport and Dispersion/Transport
Models
The distribution of chemical constituents emitted into the atmosphere
is critically related to the vertical and horizontal transport. The
mechanisms for vertical exchange are complex and varied, ranging from
clear-air processes over various terrain and land use conditions to moist
convection associated with non-precipitating clouds and cloud systans.
Precipitating clouds redistribute pollutants vertically in the atmosphere,
with updrafts carrying surface-based pollutants into the upper layers, and
downdrafts bringing both rain and cloud and interstitial air to the lower
levels of the earth's surface. With regard to photochemical oxidants,
non-precipitating clouds are of particular interest, since they are preva-
lent in the warm season and are effective in redistributing pollutants
between the mixed layer and the free troposphere. The magnitude of their
impact is highly variable in time and space and will depend on the cloud
population, distribution and their vertical extent. Entrainment processes
within the clouds play a critical role in determining the net vertical
exchange in the atmosphere. The horizontal distribution and population
density of clouds are highly variable regionally and over diurnal and
seasonal time scales. Long range horizontal transport of ozone and its
precursors are expected to be strongly influenced by cloud systems. Experi-
mental evidence of cloud-induced vertical exchange of ozone between the
mixed layer and free troposphere has recently been documented^.
Horizontal transport of pollutants on a regional scale is controlled
by the height at which emissions are released, their chemical and physical
lifetimes and horizontal dispersion. Consequently, the horizontal distri-
bution of pollutants is strongly impacted by such factors as the speed and
direction of the transport winds, vertical mixing in and between layers,
presence of wind shear, extent of coupling between the mixed layer and the
free troposphere, surface pollutant fluxes and source distribution. The
transport winds are expected to translate along isentropic surfaces, which
are not necessarily horizontal. Wind shear will cause pollutant sources to
undergo horizontal transport and dispersion such that the pollutants in the
upper air will be redistributed in three dimensions and over a greater area
than would be otherwise anticipated from surface winds. Significantly,
distorted horizontal patterns will develop and vary with respect to the
vertical levels of the atmosphere and the varying transport and dispersion
conditions.
Simulation of the atmospheric transport in photochemical grid models
(e.g. the Systems Applications, Inc. Urban Airshed and Regional Transport
Models; the EPA Regional Oxidant Model) requires input to the model of
horizontal wind vectors defined at each model grid point, usually on an
hourly basis. (The models themselves compute vertical velocity via a form
of the mass continuity equation.) Techniques for wind field generation can
be divided into three general classes:
-------
20
objective analysis of observational data
diagnostic wind modeling
prognostic meteorological modeling
In general, the choice of technique depends on the spatial and temporal
representativeness of available observational data.
Objective analysis involves the mathematical combination of observa-
tional data to produce a wind vector at a given grid point. Objective
analysis encompasses both interpolation and extrapolation, depending on the
location of the grid point with respect to the location of available obser-
vations.
Use of objective analysis techniques to generate gridded wind fields
for a photochemical model implies an assumption that available observations
completely represent the airflow within the model domain. This assumption
is frequently of doubtful validity, especially in regions of complex terrain
where the spatial separation between wind observations is much greater than
the relevant terrain scales.
Diagnostic wind models provide relatively simple representations of
certain complex terrain effects on airflow, including deflection of airflow
by terrain obstacles and thermodynamically generated slope flows. The
diagnostic models generally combine the terrain-effect treatments with
objective analysis of available observations. In one approach, an objective
analysis of observations is carried out; the objectively analyzed field is
then adjusted for terrain effects. In a second approach, a "first guess"
wind field is generated by adjustment of "mean" flow for terrain effects.
The "first-guess" field is then incorporated along with available observa-
tional information into an objective analysis, with the "first-guess" field
weighted heavily in subregions of the domain remote from observations.
Diagnostic wind models are relatively inexpensive to run and in certain
areas may require fewer observations to produce credible wind fields.
However, diagnostic wind models are incapable (in the absence of representa-
tive observations) of generating such airflow features as sea breezes,
low-level jets, and terrain-generated mesoscale eddies. Representation of
such features may be important for accurate air quality simulation.
Both objective analysis and diagnostic wind models rely on observa-
tional data as critical inputs. Observational data are irregularly distri-
buted in space, and in general, are not available in one-hourly intervals.
They have to be analyzed objectively on a regularly spaced three-dimensional
grid and interpolated in time. Standard methods are available to interpo-
late primary meteorological variables as wind or temperature, but problems
arise in interpolating cloud cover or precipitation rates. The 12-hourly
precipitation rates from the international observational network are not
sufficient for input to episodic models. Also, cloud top heights are not
available from the conventional synoptic network. These gaps could be
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21
filled partly by using satellite and radar data. Unfortunately, these data
are not available in a form to be used directly as input for a grid model.
Extensive data processing and interpretation are necessary to extract the
desired information. It is possible to derive variables such as the height
of cloud tops, cloud cover and cloud type from such data, but at this time
the methods needed are still under development and not applicable routinely.
The third category of wind field generation, prognostic mesoscale
meteorological models, provides numerical solutions of the governing equa-
tions of the atmosphere. Unlike objective analysis and diagnostic wind
modeling, prognostic models do not require significant mesoscale observa-
tional data inputs. Given (1) a representation of the initial dynamic/
thermodynamic state of the atmosphere within the model domain, and (2) a
representation of the "forcing" of domain-scale flow by larger-scale
processes not simulated by the model, the prognostic model simulates the
response of the mesoscale airflow to differential surface heating (e.g.
sea breeze circulations) and to complex terrain (e.g. thermodynamically-
generated slope flows, blocking and deflection of airflow by terrain
obstacles, mesoscale eddy development).
The major advantage of prognostic modeling over the other two methods
is the ability of prognostic models to simulate relevant physical processes
in the absence of mesoscale observational data. This may be especially
important in representing the spatial and temporal variability of upper-air
(i.e. above, say 100 m AGL) winds for which representative observations are
frequently sparse or unavailable.
In addition to simulating the wind field, prognostic models simulate
the temperature field. Thus, prognostic models may be capable of providing
necessary mixing height and stability information to photochemical grid
models.
The major disadvantage of prognostic modeling is its computational
expense relative to other methods of wind field generation. Additionally,
prognostic models cannot be expected to reproduce all available individual
wind observations. If, for example, the location of frontal systems, cloud
and precipitation patterns, or the wind field are incorrectly forecast, it
cannot be expected that the predicted pollution coincides with measurements.
Therefore, if a dynamical model is used as a driver for a. complex dispersion
model, it is necessary to perform a comprehensive meteorological analysis
utilizing all available observations in order to estimate the uncertainty
in the predicted meteorological variables.
In the framework of the PHOXA program both methods have been used to
prepare meteorological input for complex dispersion models. The application
of an episodic photochemical model for the simulation of three photochemical
episodes in north-western Europe has shown that model results are quite
sensitive to the meteorological input, i.e. an accurate description of
meteorological input fields is a necessary premise for good model perform-
ance.
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22
Major problem areas in the preparation of the meteorological input for
the RTM-III have been:
~ Wind fields over the sea. In Europe during the air pressure con-
figurations, usually associated with oxidant formation, pollutant
transport occurs quite often over the sea, e.g. between the conti-
nent and the UK, or between the UK and Scandinavia. Lack of data
makes it difficult to determine accurately the respective transport
winds.
- Sea breeze circulations. The significant temperature differences
between land and water establish land-sea-circulations which lead
to a cycling of primary and secondary pollutants. Available data
and the grid size used in the regional modeling make it difficult
to consider such effects.
- Mixing heights. The height of the boundary layer determines the
vertical extension of the first transport layer of the RTM-III, the
mixed layer. Mixing heights for RTM-III are constructed 'from
observational data in connection with a boundary layer model. In
particular, the calculation of the vertical extension of the ground-
based nighttime inversion is fairly inaccurate. There are also
problems in the transition area between land and sea where internal
boundary layers can develop.
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23
5.0 MODELING TECHNOLOGY AND APPLICATIONS
5.1 Physicochemical Air Quality Models
Physicochemical air quality simulation models (AQSM) are now accepted
as being the most effective tools for development of ozone control strate-
gies. Such models have been in existence in the US for the past two
decades, but it is only recently that AQSM's have been put to routine use
in activities pertaining to assessment, management and reduction of ozone
risks. The models most commonly used currently in the US are the Empirical
Kinetic Modeling Approach (EKMA) model2/,28, the Urban Airshed Model (UAM)zy
and the Regional Ozone Model (ROM) 3°. The USEPA-developed EKMA model was
conceived as and intended to be a mathematical expression of the causal
relationship between reactants and products in the 03-forming process, for
given sunlight intensity and temperature conditions. The model treats the
entire urban atmosphere as a reaction vessel, and is used in the form of 03-
isopleth plots depicting dependence of peak 03 concentration in the urban
area on 6-9-am concentrations of NMHC and NOx. The effect of post-9-am
emissions is considered by assuming such emissions to disperse uniformly in
the mixing layer above the urban area. Precursors and 03 transported into
the urban area, also, can be taken into account using some simplifying
assumptions. The EKMA model is not intended to predict absolute 03 concen-
trations; rather, it is intended to predict changes in peak 03 concentration
as a function of changes in the precursor concentrations and/or emissions.
This is a conceptual weakness of the model because it makes it extremely
difficult to evaluate the model's accuracy using real world data. Relative
to UAM and ROM, EKMA is the simplest model and is appropriate for use only
' in the uncomplicated case of 03 arising at the end of the day from emissions
within an isolated urban area. For complex cases, such as when the 03
problem results from multi-day pollutant transport or from rural emissions
or when the transported-in pollutants dominate the 03-forming process, the
EKMA model is inappropriate31. Nevertheless, because of its simplicity and
low application costs, the EKMA model found considerable use in regulatory
activities in the US.
The SAI-developed UAM model is a grid-type model with four vertical
layers and grid size from 1 Km to 10 Km. It can treat all major physical
and chemical processes underlying the photochemical ozone formation, namely,
advection, diffusion, deposition and chemical transformations of emissions.
Because of this the UAM is capable of predicting absolute 03 concentations,
an advantage over EKMA in that it allows for field evaluation of the model.
For the same reason, the UAM is inherently more valid than EKMA but is
also much more complex. It is also costly to use because of the extremely
detailed emissions and meteorological data required as input to the model.
Like EKMA, UAM also is an urban scale model that predicts 03 concentrations
resulting from a single day's reaction of the urban areas emissions. It is
clearly the more appropriate model to use in urban areas with complex photo-
chemical Oo problems-*'. All input information required by both EKMA and
UAM is available or can be measured except for future boundary conditions
(i.e. concentrations of 03 and precursors at the boundaries of the models'
domains). The requisite data on this latter input can be estimated only
through use of predictive regional scale models such as the ROM.
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The USEPA-developed ROM model is a grid-type model with 3 1 /2 vertical
layers and 18 Km grid size. It was designed to treat all processes known
to affect ozone formation during several days or ~1000 Kn of pollutant
transport, namely, advection, photochemistry, nighttime chemistry and trans-
port, pollutant "venting" through cumulus clouds, mesoscale vertical motion
and eddy effects, terrain effects, subgrid scale chemistry processes, natu-
ral emissions chemistry and transport, and wet and dry deposition. The
model was developed mainly for the purpose of perdicting future impacts of
upwind sources on an urban area's air quality. Thus, it is ideally suited
for implementing the regional approach to developing urban 03 control
strategies. The complexity of the model and cost of application, however,
limit seriously the model's utility. To illustrate the magnitude of the
modeling effort associated with applications, a three-day simulation re-
quires six hours of an IBM 3090 computer as well as 25 mandays and 15 hours
of a VAX 785 computer for data preparation and quality assurance. Also,
the probabilistic nature of the model predictions complicates the use of
ROM for 03 strategy development. Notwithstanding all these difficulties,
however, the ROM is already extensively used in the US and promises greater
use in the future.
5.2 Applications of AQSM's
Numerous AQSM application studies have been conducted in the US by
Federal, State or local government agencies, research institutions and
model developers. Most common objective in those studies was to study the
relative roles of VOG and NOX in the photochemical 03 problem and determine
and compare impacts on 03 air quality of various unilateral or combined VOC
and NOx control strategies. As a result of these studies, the USEPA has
recently rescinded its long standing policy that 03 must be controlled
through unilateral control of VOC, and is now receptive to 03 reduction
strategies based on NOx control. The most significant findings from those
studies are listed in Table 5-1 in the form of observations arrived at
through use of the EKMA, UAM and ROM models.
Generally, the modeling studies to date appear to suggest that relative
to NOX control, VOC control is the more effective approach to urban 03
reduction. Existing models, however, still have imperfections and, also,
the issue of whether or to what degree biogenic emissions influence the VOC-
to-NOx ratio in urban areas generally, has not been resolved yet.
A large number of photochemical model application studies have been
performed within Europe also, on various aspects of the ozone problem. A
wide variety of approaches have been adopted to account for dispersion and
transport including single layer long range transport trajectory models,
urban scale trajectory models and large-scale grid models. The chemical
schemes vary from extensive schemes involving over 300 reactions through to
the highly condensed acid-parameterized schemes associated with grid models.
Common themes recur in all these applications; hydrocarbon controls always
reduce ozone whereas nitrogen oxides controls always increase ozone in some
places and decrease ozone in other places. Also, a framework of emission
control scenarios incorporating Best Available Control Technologies have
been analyzed showing the importance of controlling some source categories
and the rfcj.atively smaller impact of controlling others.
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24-A
Table 5-1. Summary of Modeling Results Concerning Effectiveness of VOC,
and Combined Strategies for Reducing 03
Observation
1 . NOX decrease increases 03 near sources of NO
2. NQx control reduces peaks, but may move them
closer to cities
3.
4.
5.
6 .
With "high" NMOC/NOx ratios (e.g. >10:1)
reductions in peak 03 accompanying initial
control efforts may be more pronounced with
NOX controls than for VOC controls
Despite more rapid initial reduction in peak
03, ultimate efforts needed to attain an air
quality goal may sometimes be greater for
NOX control than for VOC
Greater benefit of 110^ control appears far
downwind of urban areas (where 03 formation
is presumably N0x-limited)
Undesirable effects in #1 , 2 , 4 may be reduced
or sometimes eliminated by controlling both
VOC and
8.
9.
10.
11.
Increases in 03 due to NO^ control occur in
urban commercial districts where 03 is
relatively low
(Note: ROM results show this result as well
as showing 03 increases in the vicinity of
high concentration areas near major urban
source regions. This could reflect ROM's
coarser spatial resolution or UAM's limited
ability to consider transport from upwind
sources .)
VOC controls work by delaying or slowing down
03 accumulation
VOC controls reduce peak 03 and move the
reduced peaks further downwind
Greatest reduction in 03 accompanying VOC
controls occurs in 'major source areas, with
reductions being somewhat less far downwind
With "high" NMOC/NOx ratios (e.g. >10:1)
effect of initial, increments of VOC control
may be small
Model(s)
EKMA, UAM, ROM
UAM
EKMA
EKMA
EKMA, UAM, ROM
EKMA.
UAM
EKMA
EKMA, UAM., ROM
EKMA, UAM, ROM
EKMA
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24-A (cont'd)
Observation Model(s)
12. NOx or VOC + NOx control becomes EKMA
preferable to controlling VOC
alone as
a. NMDC/NOx ratio increases
b. severity of observed 03 levels decrease
c. reactivity of VOC emissions increases
d. atmospheric dilution increases
13. NOX controls could lower population exposed UAM
to peak 03 levels but raise population
exposed to moderate levels
14. The variation of VOC composition as described EKMA
in Section 3.2.4 was found to have less than
10% effect on VOC control requirements for
both the CB4 and GAL mechanisms
Note: UAM results reflect use of CB2 chemical mechanism.
EKMA results reflect use of CB3 chemical mechanism.
ROM results reflect use of CB4 chemical mechanism.
* EKMA: Empirical Kinetic Modeling Approach, trajectory model on the
urban scale, vertical resolution is mixed layer average
UAM: Urban Airshed Model, three-dimensional grid model on the
urban scale
ROM: Regional Oxidant Model, three-dimensional grid model on the
regional scale (1000 km)
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25
6.0 SCIENTIFIC ISSUES ASSOCIATED WITH.03 CONTROL STRATEGIES
Despite decades of research in several countries on all aspects of the
photochemical 03 problem, scientific issues still persist and, apparently,
hamper the 03 control effort seriously. Evidence on existing scientific
issues has been provided on an issue-by-issue basis by researchers and also
collectively by the fact that apparent emission changes have not impacted
03 air quality in accordance with theoretical expectations. The experience
in the US, for example, is that despite the substantial VOC controls effected
in past years the 03 air quality standard of 0.12 ppm for 1 hr/year continues
to be unattainable in most urban areas. The USEPA viewpoint on this 03
non-attainment problem is that while unresolved scientific issues are a
part of the cause, most of the problem is probably due to uncontrolled^and
unpredicted emissions growth that partly or more than offset the emissions
reduction due to controls. Critics of the OSEPA policies, on the other
hand, allege that while all reasons for the non-attainment problem are not
clear, at least one cause of the problem is that the US control policy is
based on inadequate, if not wrong, understanding of the photochemical 03
formation process and the factors affecting it.
As already discussed, well established scientific issues exist within
the chemical mechanism area, namely: the mechanisms of the atmospheric
reactions of the aromatic VOC's and the large molecular size VOC's are not
known accurately. Also, uncertainties exist in the photolytic roles of
certain important carbonyls (e.g. formaldehyde, glyoxals, ketones). There
may be other inaccuracies that escape detection because the methods for
evaluating chemical mechanisms and kinetic parameters of the involved reac-
tion steps have not been perfected yet. Thus, evaluation of mechanisms
through comparisons with smog chamber data is still obscured by the fact
that chamber walls cause "extra reactivity" the origins of and methods for
accounting for which have introduced uncertainties in predictions. Errors
are also likely to be introduced by errors in the chemical composition of
the ambient VOC mix—an important input to mechanistic models. Errors of
this type are most likely to occur in the measurements of oxygenated and
large molecular size VOC's.
In the EKMA modeling area, the next most important issue is the selec-
tion of the VOC-to-NOx ratio value to be used as input to the model.
Measurements of the 6-9-am ratio in center city areas give highly varying
(with time and location) results and no bases have been found yet for
justifying selection of e.g. the average or the median or any other single
value for the ratio.
In the emissions disperison area, the most important issue probably is
the one associated with the accuracy of the emission inventory data currently
available. There is considerable evidence that the IE emission inventories
for VOC are underestimated in some cases because sources have escaped
inventorying and in other cases because emission rates have been underesti-
mated. Use of underestimated VOC emission inventory data would result in
artificially low VOC-to-NOx ratio conditions which, in turn, would make the
models overpredict the effectiveness of VOC control or underpredict VOC
control requirements. A similar effect and error may be caused by ignoring
the biogenic VOC emissions in urban ozone control strategies.
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26
These as yet unresolved issues have cast doubts on the reliability of
the current air quality models, not only for computing control requirements
but also for determining whether, relative to NO* control, VOC control is
the more effective approach to 03 reduction. With respect to the roles of
these scientific issues in the 03 non-attainment problem, the US experiences
have been used to support three distinct viewpoints. The USEPA viewpoint
adhering to the air quality management approach to combating air pollution'
favors continuing confidence in current scientific knowledge and models'
As its post 1987 ozone policy, USEPA continues to favor VOC control for Ch
reduction but is now receptive to strategies that include NOX control for
achievement of the 03 standard. An opposing viewpoint, expressed within
the industrial scientific community, holds that current understanding of
the ozone problem is seriously lacking and that triggering of the photo-
chemical ozone-forming process by photochemically aged pollutants and by
stratospheric ozone are not properly considered in the theory currently
accepted and used by USEPA. Finally, the viewpoint held by some State of
California air pollution analysts is that state-of-the-art models are not
reliable enough to be used for development of quantitative control strate-
gies; they should be used instead only for making general or qualitative
judgments about effects of emission controls or of other factors on air
quality. Others, such as the South Coast Air Quality Management District
are making comprehensive use of three-day simulations with an enhanced
version of the Urban Airshed model.
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27
7.0 CONCLUSIONS AND RECOMMENDATIONS
1 . Photochemical 03 problem arises from atmospheric reactions of VOC and
NOx emissions under favorable sunlight intensity, temperature and
dispersion conditions. Such conditions occur frequently both in the
US and Europe as suggested by the 03 monitoring data available for
urban and rural areas in the two continents. Such data indicate hourly
03 concentrations as high as 0.3 ppm to occur in Europe and even higher
in the US.
2. The dual roles of VOC and NC^, being both precursors and scavengers of
ozone, make the photochemical 03 formation process so complex that
effective ozone control strategies cannot be developed based on common
sense alone. Accurate ozone air quality models are required, which, in
turn, requires that the processes of emission, dispersion and chemical
reaction of ozone precursors in the atmosphere be understood in detail
and quantitatively. These processes have received in the past years
considerable research attention both in the US and Europe but signifi-
cant gaps and scientific issues are still in existence. The seriousness
and apparent intractability of the photochemical ozone problem make it
imperative that research continues toward resolution of the scientific
issues and that the research efforts in .the European countries and the
US be coordinated to the extent possible for maximum effectiveness.
3. Precursor emission rates are the single most important factor to consider
in development and implementation of ozone control strategies. Sub-
stantial efforts have been expended both in Europe and the US for
development of accurate VOC and NOx emissions inventories. Considerable
uncertainties, however, continue to exist especially in the levels and
composition of VOC emissions. Particularly disconcerting are errors
causing underestimation of VOC emissions because such errors also lead
to overestimation of the effectiveness of VOC controls for 03 reduction.
Crucial uncertainties are associated also with the biogenic VOC's, both
in regards to their emission levels and also in regards to the importance
of their role in the chemistry with respect to destruction and formation
processes of tropospheric ozone.
4. Atmospheric dispersion and transport processes are of particular inte-
rest both because of their direct connection to the magnitude of the
ozone problem and also because of the political implications of inter-
country or inter-state pollutant transport. This emphasizes the need,
both in Europe and in the US , for regional scale ozone models capable
of determining source area-to-receptor area and ozone-to-precursor
emissions relationships in a quantitative and reliable fashion.
5. Significant advances have been achieved in the recent years in the
atmospheric chemistry underlying the photochemical ozone problem. Atmo-
spheric reaction pathways have been established for most ambient VOC's
and reaction rate constant values for a significant number of atmo-
spheric reaction steps are of undisputed validity. Gaps of strong
consequence, however, still exist, particularly in the aromatic VOC
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28
chemistry area and perhaps in other, unsuspected areas as well. With
re!£e? u° Jhis, la^ter P°ssibility, it is crucially important that
methods be developed for reliably and accurately evaluating chemical
mechanisms and identifying sources of error. Given the importance of
the existing gaps and issues and the substantial relevant expertise
lying within many countries in the world, it would be extremely pro-
ductive to promote international collaboration among experts in the
atmospheric reaction mechanism, kinetics, and chemical modeling areas.
6. Ozone air quality models are now available and in routine use both in
u-US f£5 Eur°Pe- Modeling studies to date established that the
ambient VOC-to-NOx ratio condition is extremely important in that it
determines whether VOC control or NOx control is the more effective
approach to ambient 03 reduction. The models indicate specifically
that low VOC/NOx conditions favor VOC control whereas under high VOC/
NOx conditions NC^ control is the more effective approach to reducing
peak 03 concentrations. While the quantitative aspects of the ozone-
precursor dependencies derived by models are uncertain reflecting the
uncertainties in the model and model inputs used, the qualitative
aspects and, in particular, the directional effects described above of
precursor controls on ozone for high and for low VOC/NOx conditions
are almost certain to be accurate, unaffected by current model imperfec-
tions. This underscores the importance of the VOC/NOx input to the
models and, hence, the need for reliable estimation of the VOC and NCv
emission and ambient concentration factors.
7. Based on the conclusions from the Workshop discussions and on impressions
trom^ interactions among the Workshop participants, the Workshop Steering
Committee submitted the following specific recommendations for future
actions: U.L.IU.C
(a) The results of this Workshop should be reported to the Coordinators
of the US-German Environmental Program, and that work on the photo-
chemical ozone problem and related issues be recognized and
continued as a Project activity under the US/FRG Environmental
Agreement, with Dr. Basil Dimitriades, USEPA, and Mr. Erich Weber
FRG/BMJ, as the respective US and FRG Co-Chairmen.
(b) Support should be provided by the US and FRG Governments for the
organization and conduct of the Second US/FRG Workshop on Ozone
in FY-90 (i.e. Spring 1990).
(c) A program should be sponsored within the US/FRG Environmental
Agreement for facilitating/supporting exchange of scientists
between US and FRG for a three to six-month duration.
(d) International Work Groups should be formed under joint US/FRG
sponsorship to perform critical reviews and assessments of:
(i) State-of-the-Science chemical mechanisms for ozone
(ii) Existing smog chamber data bases
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29
(iii) Existing reaction rate constants
(iv) Development of advanced analytical techniques applicable for
field as well as for smog chamber studies
(v) Research needs in the area of ozone problems in general.
The Work Groups should convene in conjunction with the Second
US/FRG Workshop on Ozone.
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30
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LIST OF PARTICIPANTS
Monika Baer
Institut fur Meteorologie
und KLimaforschung
Kernforschungszentrura
Karlsruhe/Universit'at Karlsruhe
Postfach 3640
7500 Karlsruhe/FRG
Tel. (7247)824770
Volker Bastian
Universitat Wuppertal
Phys. Chemie, Fachbereich 9
Gaupstr. 20
5600 Wuppertal/FRG
Tel. (202)439-2510
Karl H. Becker
Universitat Wuppertal
Phys. Chemie, Fachbereich 9
Gaupstr. 20
5600 Wuppertal/FRG
Tel. (202)439-2666
Frank Black
Atmospheric Sciences Research Laboratory
US Environmental Protection Agency
Research Triangle Park, NC 27711/USA
Tel. (919)541-3037
Thomas C. Curran
Office of Air Quality Planning and Standards
US Environmental Protection Agency
Research Triangle Park, NC 27711/USA
Tel. (919)541-5467
Kenneth L. Darnerjian
Atmospheric Sciences Research Centre
State University of New York
100 Fuller Road
Albany, NY 12205/USA
Tel. (518)442-3820
Richard G. Derwent
Harwell Laboratories
Didcot, Oxfordshire
0X11 ORA/UK
Tel. (235)24141 ext. 4403
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34
Basil Dimitriades
Atmospheric Sciences Research Laboratory
US Environmental Protection Agency
Research Triangle Park, NC 27711/USA
Tel. (919)541-2706
Ralph Drauschke
Amt fur Uraweltschutz
Eifelwall 7
5000 Koln/FRG
Tel. (221)2217617
Adolf Ebel
Universitat Koln
Institut fur Geophysik
und Meteorologie
Albertus Magnus Platz
5000 K61n 41/FRG
Tel. (221)212995
Wolfgang Fricke
Umweltbundesamt
Pilotstation
Frankfurterstr. 135
6050 Offenbach/FRG
Tel. (69)888038
Klaus D. Hofken
GSF Munchen/Proj ekttrager
Umwelt - und Klimaforschung
Ingolstadter Landstr. 1
8042 Neuherberg/FRG
Tel. (89)3187-3375
Harvey E. Jeffries
School of Public Health
University of North Carolina
Chapel Hill, NC 27514/USA
Tel. (919)966-3848
Dieter Jost
Umweltbundesamt
Bismarckplatz 1
1000 Berlin 33/FRG
Tel. (30)8903294
Michael Kaup
Amt fur Umweltschutz Koln
Eifelwall 7
5000 Koln/FRG
Tel. (221)2217617
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J. Alister Kerr
Department of Chemistry
University of Birmingham
Birmingham B15 2TT/UK
Tel. (21)414-4418
Robert C. Kessler
Systems Applications, Inc.
101 Lucas Valley Road
San Rafael, CA 94903/USA
Tel. (415)472-4011
Dieter KLey
Kernforschungsanlage Julich
Institut "Chemie der Atmosphare" ,
Postfach 1913
5170 Julich/FRG
Tel. (2461)613741
Barbara Lubkert
OECD, Environment Directorate
2, rue Andre Pascal
75775 Paris Cedex 16/F
Tel. (1) 45027612 (OECD)
(43-2236)71521547 (IIASA/Austria)
Terry McGuire
Technical Support Division
California Air Resources Board
P.O. Box 2815
Sacramento, CA 95812/USA
Tel. (916)322-5350
Edwin L. Meyer
Office of Air Quality Planning Planning and Standards
US Environmental Protection Agency
Research Triangle Park, NC 27711/USA
Tel. (919)541-5594
Christa Morawa
Urnweltbundesamt
Bistnarckplatz 1
1000 Berlin 33/ERG
Tel. (30)8903-249
Katrin Nodop
NILU, Norsk Institutt for
Luftforskning
Postboks 64
2001 Lillestrom/N
Tel. (6)814170
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36
Andreas Obermeier
Institut fur Kernenergetik
Universitat Stuttgart/FRG
Pfaffenwaldring 31
7000 Stuttgart 80
Tel. (711)685-2388
Dieter Paffrath
DRVLR, Institut fur
Physik der Atmosphare"
Munchener Str.
8031 Oberpfaffenhofen/FRG
Tel. (8153)28-511
Jlirgen Pankrath
Umweltbundesamt
Bismarckplatz 1
1000 Berlin 33/FRG
Tel. (30)8903-375
Ulrich Platt
Kernforschungsanlage Jlilich
ICH 3
Postfach 1913
5170 Julich/FRG
Tel. (2461)613239
S. Trivikrama Rao
Bureau of Air Research
Division of Air Resources
New York State Department of
Environmental Conservation
50 Wolf Road
Albany, NY 12233/USA
Tel. (518)457-3200
Kenneth L. Schere
Atmospheric Sciences Research Laboratory
US Environmental Protection Agency
Research Triangle Park, NC 27711/USA
Tel. (919)541-3795
Ulrich Schurath
Institut fur Phys. Chemie
der Universitat Bonn
Wegelerstr. 12
5300 Bonn/FRG
Tel. (228)732507
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37
Rainer Stern
Inst. f. Geophysikalische
Wissenschaften der
Freien Universitat Berlin
Thielallee 50
1000 Berlin 33/FRG
Tel. (30)838-3471
David Strother
Office of International Activities
US Environmental Protection Agency
Washington, DC 20460/USA
Tel. (202)382-4892
William Sylte
California Air Resources Board
P.O. Box 2815
Sacramento, CA 95812/USA
Tel. (916)362-9920
Neil B.A. Trivett
Air Quality and Inter-Environment
Research Branch
Atmospheric Environment Service
4905 Dufferin Street
Downsview
Ontario M3H 5T4/Canada
Tel. (416)739-4447
Chris Veldt
TNO
Division of Technology for Society
P.B. 342
NL - 7300 AH Apeldoorn/NL
Harry M. Walker
H.M. Walker and Associates, Inc.
3321 East Bayou Drive
Dickinson, TX 77539/USA
Tel. (713)337-1177
Erich Weber
Bundesministerium fur linwelt,
Naturschutz und Reaktorsicherheit
IG I 2
Postfach
5300 Bonn/FRG
Tel. (228)3052421
•&US. GOVERNMENT PRINTING OFFICE: 1989 - 648-163/00305.
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