United States
Environmental Protection
Agency
                                  Environmental Sciences Researc
                                  Laboratory
                                  Research Triangle Park NC 277
Research and Development.
                                  EPA-600/S4-81-067  Jan. 1982
Project Summary
Flow and  Dispersion  of
Pollutants  Over Two-
Dimensional  Hills:  Summary
Report on Joint Soviet-
American  Study
Leon H'^hurshudyan, William H. Snyder, and Igor V. Nekrasov
v Wind tunnel experiments and theo-
 retical  models concerning the flow
 structure and pollutant diffusion over
 two-dimensional hills of varying aspect
 ratio are described and compared.
 Three hills were used, having small,
 medium, and steep slopes. Measure-
 ments were made of mean and turbu-
 lent velocity fields upwind, over, and
 downwind each of the hills. Concen-
 tration distributions were measured
 downwind of tracer sources placed at
 the upwind base, at the crest, and at
 the downwind base of each hill. These
 data were compared with the results
 of two mathematical models devel-
 oped in the U.S.S.R. for treating flow
 and dispersion over two-dimensional
 hills. Measured concentration fields
 were reasonably well predicted by the
 models for a hill of small slope. The
 models were less successful for hills
 of steeper slopes, because  of flow
 separation from the lee side of the
 steepest hill and high turbulence and
 much-reduced mean velocity down-
 wind of the hill of medium slope.
  This Project Summary was develop-
 ed by EPA's Environmental Sciences
 Research Laboratory, Research Triangle
 Park. NC, to announce key findings of
 the research project that is fully doc-
 umented in a separate report of the
 same title (see Project Report order-
 ing information at back).
                                 Introduction
                                  This report presents preliminary re-
                                 sults of the Joint Soviet-American Work
                                 Program for studying air flows and dis-
                                 persion of pollutants in hilly terrain. The
                                 work was conducted in the Fluid Model-
                                 ing Facility of the U.S. Environmental
                                 Protection Agency (EPA), Research Tri-
                                 angle Park. NC.
                                  Investigations of pollutant transport
                                 and dispersion in the atmosphere over
                                 complex relief are critical for the protec-
                                 tion of air quality, since industrial
                                 enterprises and other sources of air pol-
                                 lution frequently locate within such ter-
                                 rain. Although much effort  has been
                                 expended  in elucidating this problem
                                 and in establishing guidelines for indus-
                                 try and control organizations to use in
                                 predicting air pollution, the problem is
                                 far from solved. Presently, three main
                                 approaches are used to study the prob-
                                 lem:

                                 Theoretical Modeling
                                  To calculate pollutant dispersion, it is
                                 necessary to know how irregularities of
                                 the ground surface distort the mean and
                                 turbulent structure of the incident flow.
                                 Some  investigations of  peculiarities
                                 of turbulent dispersion in distorted flows,
                                 even separated flows, have been made.
                                 Practically speaking, however,  those
                                 results can be used only if the distorted
                                 mean flow field, i.e., mean streamline

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 pattern, is known. Since mathematical
 modeling of flow structure is quite diffi-
 cult, these diffusion theories have been
 applied only  with highly simplified
 assumptions about the mean flow, e.g.,
 potential flow. The most realistic mod-
 els of flows, some which include diffu-
 sion calculations over irregular terrain,
 have been obtained through solution of
 simplified equations  of viscous flow
 with additional simplifying assumptions
 on turbulence structure. In spite of dif-
 ferences between these models, under-
 lying assumptions limit their applicabil-
 ity to gentle relief. Most of these theories
 are also too complicated for use in the
 daily practice of air pollution prediction.
 Hence,  simpler  models that assume
 potential (or "quasi-potential") flow over
 irregular terrain  have become  wide-
 spread. In the U.S., models are used that
 neglect, even for neutral flow, the con-
 vergence of streamlines over obstacles
 as in  the  EPA Valley  Model.  More
 recently, attempts have been made to
 describe the flow structure over steeper
 obstacles where  flow separation may
 occur. But these attempts deal only with
 laminar flows which involve numerical
 solutions of Navier-Stokes equations at
 small to moderate Reynolds numbers.

Field Experiments
  Full-scale experiments, while impor-
tant, are expensive and time-consuming,
especially in complex terrain. Extensive
measurements  and analyses are re-
quired of wind, temperature, and con-
centration distributions to gain suffi-
cient understanding of the fundamental
physics. Generalization from field data
is  difficult because of peculiarities of
specific sites and meteorological condi-
tions. Controlled variation of independ-
ent variables is generally not possible,
and complicating factors are abundant.
 However, all models must ultimately be
tested by comparison with real-world2
data. Significant  field experiments  in
complex  terrain are  now being con-
ducted by the Department of Energy,
the Electric Power Research Institute,
 and the EPA.
Wind Tunnel Modeling
  The difficulties of mathematical and
field investigations of atmospheric flows
and pollutant dispersion  in  complex
cases such as hilly terrain have stimu-
lated the development of wind tunnel
modeling,  where  the  atmospheric
boundary layer and diffusion processes
are stimulated. This method's advan-
tages are the simplicity of fixing and
controlling the governing parameters
and  the reproducibility of conditions,
among others. While it is still techni-
cally impossible to satisfy simultane-
ously all similarity criteria, most inves-
tigators now have a consensus opinion
of how to  approximate  atmospheric
processes of different scales in wind
tunnels. Two basic approaches  exist.
The first is the investigation of specific
topographic sites.  Such "specific"
studies are usually requested by an
industrial company or by a controlling
air-protection organization. The second
category, "generic" studies, focuses on
idealized  situations  to obtain funda-
mental  understanding of the principal
governing parameters and the physical
processes involved. Such investigations
have been developing in recent years in
EPA's Fluid Modeling Facility and the
U.S.S.R. To simplify the investigation,
one  frequently considers two-dimen-
sional relief and neutral stratification of
the flow. Inroads have also been  made
on three-dimensional relief  and non-
neutral stratification.
  Until recently, most generic studies of
flow and dispersion in complex terrain
have been concerned with hills of either
small or large slopes. Separation on the
lee slope was not expected to occur for
hills of small slopes but was definitely
expected for hills of large slopes. A few
hills with moderate slopes have been
investigated, but these have been con-
ducted in short wind tunnels where the
boundary layer was relatively thin and
external turbulence was generated by a
grid. The work reported here concerns
hills with  slopes ranging from small to
large. This work attempts to generate
new experimental information and  to
compare the results of the wind tunnel
measurements with calculations based
on previous mathematical models.
  Computer programs that  calculate
pollutant concentrations using the above
mentioned mathematical models were
constructed for specific ground surface
shapes. These shapes were single two-
dimensional hills or valleys generated
from a set of parametric equations.
  The shapes of hills studied in the wind
tunnel  are_ shown  in Figure  1  with
aspect ratios of n =3,5 and 8 (maximum
slope angles of 26°, 16°, and 10°,
respectively). The  working   program
consisted of:
  a.  Wind tunnel  measurements of
     mean and fluctuating velocities of
      the  neutrally  stable flow in the
      presence of rough hills as well as
      pollutant  concentrations   from
      elevated point sources located in
      different positions relative to the
      hills;

  b.   wind tunnel  measurements  of
      concentrations from an elevated
      point source  located over  the
      rough flat floor; and

  c.   numerical calculations of surface
      concentrations in the presence of
      the  hills as well  as for the flat
      ground surface on the basis of the
      theoretical models,  and compar-
      isons of these  results with the
      experimental data.

Results  and Discussion
  Wind and  concentration  measure-
ments within the artificially-thickened,
rough-wall boundary layer showed that
the latter is a reasonable simulation of
the neutral atmospheric boundary layer.
The following points of agreement were
demonstrated:

  1.  When a particular value of the
     Lagrangian  integral  scale  was
     assumed, lateral plume  growth
     rates agreed with Taylor statistical
     theory.

  2.  Vertical growth rates for ground-
     level  sources  agreed  with
     Lagrangian similarity theory.

  3.  Rate of decay  of  ground-level
     concentration at large downwind
     distances agreed  with  gradient
     diffusion theory (C <* x~3/2).

  Comparisons of  numerical  models
with   experimental   data  generally
agreed within 10 to 15%  in predicting
the locations and values of maximum
surface concentrations as  the  stack
height was  varied;  further improve-
ments may be expected when values of
lateral and vertical diffusivities  more
precisely  corresponding  to the  wind
tunnel boundary layer are put into the
model.
  The flow over the steepest hill (n = 3)
separated on the lee slope and formed a
recirculation zone or cavity (see Figure
2).  This  cavity extended  to  6.5  hill
heights downwind of  the crest. Within
the  cavity,  the mean  speed of  the
reversed  mean flow  was 20% of the
free-stream velocity.  The flows  over
hills 8 and 5 did not separate, but the

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Figure 1.    Shapes of model hills (to scale).
   -20
Figure 2.    Streamlines over hill 3 computed from experimental data.

               -4
-2
  2     4
    x/h
b) hill n = 3
10    12    14   16
 Figure 3.    Strean..'ines over hill 8 computed from experimental data.
mean streamline patterns were notice-
ably asymmetric in contrast with poten-
tial theory (see Figure 3). The horizontal
mean wind velocity near the downwind
base of hill 5 was very small: 10% of the
velocity in the absence of the hill at a
                   height of 0.2ho. The longitudinal turbu-
                   lence  intensity,  however,  was
                   extremely  large  —  twice  the mean
                   velocity at 0.2ho. Even though the flow
                   was not observed to separate in the
                   mean,  instantaneous  flow reversals
were   frequently  observed  through
smoke visualization. Probability density
distributions measured with a pulsed-
wire anemometer showed that the flow
was negative up to 40% of the time, and
that the mean was small but positive.
Changes in the turbulence structure
due to the presence of hill 8 were not
highly significant,  whereas changes
over hills 3 and 5 were quite strong. The
speed-up of the flow over the tops and
the slow-down  on  the  lee sides were
larger over  the steeper hills.
  The  dispersion characteristics were
obviously also changed by the presence
of the hills. The existence  of a  cavity
region drastically influenced the shapes
of the vertical  concentration profiles
and the values of the surface concen-
trations within  the cavity. Concentra-
tions  within  the cavity  region were
essentially uniform  with  height.
Surface   concentrations   were
sometimes  greatly increased, some-
times  somewhat   decreased  when
compared with values over flat terrain.
These variations depended  upon the
stack height and location with respect to
the  hill  center.  Instead   of  being
smoothly varying functions of down-
wind distance, some surface concentra-
tion profiles  contained characteristic
dips that identified the beginning and
end of the cavity region.
  For hill 8, the deviations of the diffus-
ion patterns from those over flat terrain
were much less significant. Changes in
the concentration  fields  were appar-
ently   not  influenced  as  much  by
changes in turbulence structure as by
changes in the mean flow field.
  A simple way to  evaluate the effects
of terrain on concentration is to  calcu-
late a terrain correction factor, which is
defined as  the  ratio of the maximum
surface concentration occurring  in the
presence of the  complex terrain to the
maximum that  would occur from the
same source located in flat terrain.
  The  terrain correction factors for the
values  and  locations  of  maximum
surface concentration  obtained from
the wind-tunnel measurements were
compared with factors calculated using
a quasi-potential model. The results are
tabulated in Table 1. Satisfactory agree-
ment  between theory and experiment
was obtained:  80% of the calculated
values were within 25% of the  meas-
ured values when the stack was located
at the upwind base or top of hill 8. When
the stack was located at the downwind
base,   the theory significantly under-
predicted the experimentally observed

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concentration values. This disparity is
apparently related to the inability of the
quasi-potential model to account for the
asymmetry of the flow over the hill.
  For hills 3  and 5, there was, as
expected, a large disparity between cal-
culated and experimental values when
the stack was located at the downwind
base of the hills caused by the presence
of the recirculation zone and the zone of
extremely low wind velocity. Stream-
wise diffusion may not be neglected in
these zones. Nevertheless, there was a
certain amount of agreement when the
stack was located at the top or upwind
base: 70% of the calculated values were
within 25% of the measured values.
  A  comparison  was   also  made
between  results of a numerical model
and  experimental measurements for
values  and  locations of  maximum
surface  concentration.  Input to  the
numerical  model were  wind-tunnel
data on the mean and turbulent  flow
fields over hill 8. The comparisons of
maximum  surface  concentrations
showed relatively good agreement; all
calculations   were  within  30%  of
measurements  when  the stack  was
located at the upwind base or top of the
hill; there was satisfactory agreement,
all within 40%, when the stack was at
the downwind base.
Table 1.     Terrain Correction Factors for Maximum Surface Concentration.
 Stack Height
 Hill Height
    0.25
    0.50
    1.00
    1.50
    0.25
    0.50
    1.00
    1.50
    Source at
  • Upwind Base
 From
Measur.    Calcul.
  1.45
  1.12
  1.47
  1.16
  1.96
  2.04
  1.74
  1.20
1.42
1.37
1.24
1.20
1.70
1.59
1.35
1.28
             Source at
              Hill Top
          From
        Measur.     Calcul.
HILL, n = 8

   0.91
   0.56
   0.78
   0.82

HILL, n=5

   0.54
   0.63
   0.86
   1.04

HILL. n=3
0.66
0.67
0.74
0.75
0.53
0.54
0.65
0.67
                          Source at
                       Downwind Base
                       From
                      Measur.    Calcul.
 3.43
 2.99
 2.39
 1.68
15.00
 8.12
 5.63
 2.90
1.42
1.37
1.24
1.20
1.70
1.59
1.35
1.28
0.25
0.50
1.00
1.50
2.81
2.47
1.78
1.87
2.29
2.02
1.52
1.39
0.34
0.69
0.91
0.94
0.38
0.41
0.55
0.59
7.50
6.42
10.80
7.77
2.29
2.02
1.52
1.39
Recommendations
  Further refinement of the technique
used for producing the wind field and
the application  of  more  appropriate
models  for  eddy diffusivities  should
improve   the  agreement  with
experimental data.
  Additional tests showed that the flow
structure and separation is insensitive
to the Reynolds number over a limited
range, but it is not known for certain that
the  relatively  low-Reynolds-number
wind-tunnel flow simulates the very
large-Reynolds-number flow  in  the
atmosphere.   Nevertheless,  it  is
important  that  theoretical models  be
developed to predict separated flows
such as this wind tunnel flow, since
separation definitely occurs on the lee
sides of steep-enough full scale hills.
  Leon H. Khurshudyan is with the Main Geophysical Observatory, Leningrad,
    U. S.S.R.; the EPA author William H. Snyderfalso the EPA Project Officer, see
    below) is with the Environmental Sciences Research Laboratory, Research
    Triangle Park, NC 27711; Igor V. Nekrasov is with the Institute of Mechanics.
    State University of Moscow, Moscow. U.S.S.R.
  The complete report, entitled "Flow and Dispersion of Pollutants Over Two-
    Dimensional Hills: Summary Report on Joint Soviet-American Study, "(Order
    No. PB 82-121 179; Cost: $13.50, subject to change) will be available only
    from:
          National Technical Information Service
          5285 Port Royal Road
          Springfield. VA 22161
          Telephone: 703-487-4650
  The EPA Project Officer can be contacted at:
          Environmental Sciences Research Laboratory
          U.S. Environmental Protection Agency
          Research Triangle Park. NC 27711
                                                                            U.S. GOVERNMENT PRINTING OFFICE: 1982—55*092/3413

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