5EPA
                                  United States
                                  Environmental Protection
                                  Agency
                                  Environmental Sciences Research
                                  Laboratory
                                  Research Triangle Park NC 27711
                                  Research and Development
                                  EPA-600/PS4-80-041   Sept. 1980
Project Summary
                                  Livermore  Regional Air Quality
                                  (LIRAQ)   Model  (Transfer to
                                  EPA)

                                  William H. Duewer, John J. Walton, Keith E. Grant, and Hoyt Walker
                                    Methods were developed to convert
                                  data from the Regional Air Pollution/
                                  Regional Air Monitoring  Study
                                  (RAPS/RAMS)  into  a format
                                  compatible  with  the  Livermore
                                  Regional Air Quality (LIRAQ) models.
                                  Changes made in the LIRAQ models
                                  include (1)  improved map  plotting
                                  routines, (2) updated  chemical
                                  mechanism,  and  (3) a partial  SOz
                                  oxidation mechanism.  In the  final
                                  report which is available from NTIS
                                  (see  last page of this  summary),
                                  several appendices serve as a user's
                                  guide to the LIRAQ models and the
                                  associated data conversion routines.

                                  Introduction
                                    The Livermore Regional  Air  Quality
                                  (LIRAQ) models were developed when,
                                  through  the  Research  Applied  to
                                  National Needs (RANN) program, the
                                  National Science Foundation supported
                                  a  21/2-year interagency effort by the
                                  University of California Lawrence Liver-
                                  more Laboratory (LLL), the Bay Area Air
                                  Pollution  Control  District  (BAAPCD),
                                  and the NASA  Ames Research Center
                                  (ARC) to develop  and  evaluate the
                                  LIRAQ-1 and LIRAQ-2 models. These
                                  codes  are deterministic  two-
                                  dimensional  Eulerian grid air-quality
                                  models  that  compute spatial and
                                  temporal distributions of significant  air
                                  pollutants from specified  emissions,
                                  meteorological  conditions, topography,
                                  and  initial and boundary concentra-
                                  tions. LIRAQ-1 deals with chemical
                                  species that are not strongly affected by
                                  chemical reactions and uses  a flux-
                                  corrected transport scheme. LIRAQ-2
                                  treats chemically reactive species,  but
                                  uses simple upstream differencing to
                                  treat the transport.
                                    In  1976,  LLL entered into an inter-
                                  agency  agreement   with the U.S.
                                  Environmental  Protection  Agency to
                                  modify and extend the LIRAQ models to
                                  include  sulfur  species  (SO:  and
                                  sulf ates) and to prepare data processors
                                  for  the. necessary input files to  be
                                  developed  from  EPA "Regional  Air
                                  Monitoring Study (RAMS) data tapes so
                                  that the LIRAQ models could participate
                                  in the  Regional  Air Pollution  Study
                                  (RAPS).  The  improved  codes  are
                                  designated LIRAQ-1S and LIRAQ-2S.
                                    The present EPA-supported  inter-
                                  agency effort  consists of a  limited
                                  program intended  to facilitate  the
                                  examination of LIRAQ performance as
                                  part of RAPS. This effort included only
                                  minimal model development; the bulk of
                                  the effort was spent to develop data pre-
                                  processors  and operating procedures
                                  for use by remote users of LIRAQ on the
                                  Lawrence Berkeley Laboratory (LBL)
                                  computer system.
                                    A temporary emissions inventory was
                                  provided by the EPA late in 1978. As a
                                  result, less effortthan was intended has
                                  been devoted to model verification and
                                  the  analysis  of  poorly known  but
                                  important model inputs such as speci-
                                  fication of upper and upwind boundary
                                  conditions, and  an  estimate of  the

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reliability of the procedures used in
estimating mixing depths. As yet, no
final emissions inventory has been
established and no model tuning has
been attempted. A limited set of sensi-
tivity studies have been carried out, but
are not described in this document since
no funding exists to analyze the results.
Conclusions
Under an interagency agreement
with the EPA, LLL has modified the
[ IRAQ models for participation in the
Regional Air Pollution Study (RAPS).
The modification to the [ IRAQ models
have included:
1 Modifications to the chemical
mechanism in LIRAO-2S, so that
the model now includes a repre-
sentation of the homogenous gas
phase photochemistry for
conversion of 5O and SO 4 and
an update of the reaction rates
and mechanisms to reflect the
data available in March 1976.
2. Several input checks (in both
models) to ensure that all inpUt
files (source, meteorology, and
initial condition) refer to the same
day.
3. Changes in the topographic input
designed to improve the versatil-
ity of river and coastline-plotting
routines.
In addition, [ LL has:
1. Developed processors that
generate LIRAG input files from
RAPS data tapes.
2. converted MASCON and VERF
processors to standard FORTRAN
and exported them to Lawrence
Berkeley Laboratory )LBL)
3, Provided documentation.
Because LLL has not yet been
provided with an emission inventory
considered reliable by the EPA, little can
be said about how reliable or suitable
our estimates are for initial conditions,
boundary conditions, or mixing depths
Sensitivity experiments for St Louis
concentrations indicate that model
predictions for 03 are sensitive to the
upper boundary condition. There are
almost no data in the standard RAPS
data base that can be used to guide the
choice of upper boundary conditions,
although pertinent data were taken in
some of the special studies sponsored
by RAPS. Unless data from the special
studies are used, pollutant concentra-
2
tions aloft will provide a set of poorly
known parameters capable of strongly
influencing model predictions. The
treatment of such factors will te a
central issue in questions of verification
and in future applications of complex
models sUch as control-strategy evalua-
tion At present, there is no adequate
basis for judging LIRAQ performance.
Of the changes made in [ IRAQ. for
RAPS, the update of the chemical
mechanism and changes in the treat
ment of the steady-state species for
LIRAO-2S, the consistency checks
added to the input, and the transfer of
VERF and MASCON codes to LBL, all are
likely to be immediately used by oilier
[ IRAQ users. The addition of SO2”S04
chemistry seems less likely to be usef uI.
Recommended future changes in
LIRAQ include a further updating of
model chemistry, removal of SO 2 , SO 4 ,
and HNO 3 from LIRAQ-2S, and the
addition of peroxyacylnitrates, a simpli-
fication of LIRAO-2S numerics, and
possibly an expansion of the LIRAQ-2S
grid. These changes should result in
either a material decrease in running
time or an increase in spatial resolution.
The [ IRAQ model makestheassuriip
tion that the dispersion, transport, and
transformation of pollutants can be
represented by treating only a single
atmospheric layer extending from the
surface to the normal temperature
inversion This assumption, coupled
with the assumed behavior of pollutant
concentration in the vertical, will be
most valid when:
1 Pollutants are emitted primarily at
the surface or below the inversion
(the single-layer model does not
keep track of pollutants emitted
above the inversion).
2. Vertical dispersion is limited by a
strong and persistent inversion.
3. Vertical mixing in the layer is
rapid compared with horizontal
transport across a grid cell.
4. Pollutant concentrations in the
layer result primarhy from
emissions within the layer rather
than prescribed fluxes through
the inversion.
Application of the [ IRAQ model to St.
Louis, rather than the typical west-
coast-maritime, inland-valley regime
for which it was designed, strains the
condition of the single-layer
assumption. Many emission sources,
particularly for SO 2 , are elevated point
sources that persist in the inversion and
then may be mixed to the surface asthe
inversion rises, a process [ IRAQ does
not treat. The atmospheric structure in
St. Louis often involves multiple, weak
or nonexiSting inversions creating
layers that are alternately coupled and
isolated during a diurnal cycle, a
process crudely treated in [ IRAQ.
Vertical mixing can be rapid during
daylight hours, but is often weak, thus
the height of mixing (or single-layer
depth) is not always well-defined The
elevated emissions and the multiple
stable layers coupled with the diurnal
cycle mean that pollutant concentra-
tions in the single layer may often be
strongly influenced by pollutants not
emitted in that layer. Taken together,
the characteristics of [ IRAQ and St.
Louis indicate that expectations of good
verification should not be high and
verification and analysis should be
carefully pursued.
The preliminary results of [ IRAQ
simulations of 03 in St. Louis involve
substantial underprediction. This could
reflect basic model error, improper
boundary/initial conditions, emissions
inventory errors or excessive mixing of
NO from elevated sources down to the
surface.

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William H. Due wer, John J. Walton, Keith E. Grant, and Hoyt Walker are wit/ i
Lawrence Liver nore Laboratory, University of California, Livermore, CA
94550
J. H. Shre If/er is the EPA Project Officer (see below)
The complete report, entitled “Livermore Reg,’ona/Air Quality (LIRAQ) Model
(Transfer to EPA),” (Order No. 80221591; Cost: $14.00, subject to change)
wi/I be available from:
National Technical Information Service
5285 Port Royal Road
Springfield, VA 22161
Telephone: 703-557 4650
The EPA Project Officer can be contacted at:
Environmental Sciences Research Laboratory
U.S. Environmental Protection Agency
Re.cearch Triangle Park, NC 27711
3

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