EPA-650/4-74-035

SEPTEMBER 1974
               Environmental Monitoring Serie:


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                                         EPA-650/4-74-035
INVARIANT MODELING  OF  TURBULENCE
          AND  DIFFUSION  IN  THE
     PLANETARY BOUNDARY LAYER
                        by

                W. S. Lewellen, M. Teske,
           R. Contiliano, G. Hilst, C. duP. Donaldson

         Aeronautical Research Associates of Princeton, Inc.
                   50 Washington Road
                  Princeton, N. J. 08540
                  Contract No. 68-02-1310
                    ROAP No. 21ADO
                Program Element No. 1AA009
             EPA Project Officer: Douglas G. Fox

                  Meteorology Laboratory
            National Environmental Research Center
          Research Triangle Park, North Carolina 2771]
                     Prepared for

           OFFICE OF RESEARCH AND DEVELOPMENT
          U.S. ENVIRONMENTAL PROTECTION AGENCY
                WASHINGTON, D.C. 20460

                    September 1974

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This report has been reviewed by the Environmental Protection Agency
and approved for publication.  Approval does not signify that the
contents necessarily reflect the views and policies of the Agency,
nor does mention of trade names or commercial products constitute
endorsement or recommenda.tion for use.
                                  11

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                          ABSTRACT

     leant  progress-has been made at A^R.A.P,  over tne
 LCI y-:-ar  toward  the  goal of developing a viable  computer
 ./:ie^ based  on  second-order closure of the  turbulent
 or-rf-latiori  equations  for predicting tne fate of  ncnc-herrii-
 a}ly reacting  contaminants released in the atmospheric
.•> a. * i • a- y 1 \ y'. -• r„   Th e  i n variant t u r b u 1 e n t mo d e 1  d i ii c u a b e d
^ ;•: t'viour-3  reports has been modified both  by extending
 : .:, capabilities  and  by developing approximations to  the
 
  • ,-VAJ corrpror.lse in accuracy. Sample calculations of" -\ ;:'•->.L flow problems of current practical intere;-.t are .ic'l^Jed, These are: that of the diurnal variations ir Lic- turbulence distributions In the planet dry bound'-, ry :•',,'••"' induced by the unsteady surface heat flux; ; ht.- of turbulence occurring when ta-'' K'ind 'upt change in surface roughness; a.^d the .hT":\ al of a plume released at different heights, onder 'f'^ror.t stability conditions, and over differeni terrain

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                                CONTENTS
                                                            Page
    Abstract                                                 ii
    
    
    
    List of Figures                                          iv
    
    
    
    
    
    Sections
    
    
    
    I    Conclusions                                         1
    
    
    
    II   Recommendations                                     2
    
    
    
    III  Introduction                                        3
    
    
    
    IV   Modifications of V\\e Turbulent Model                5
    
    
    
    V    Modifications to the Pollutant Dispersal  Model      20
    
    
    
    VI   Sample Calculations and Model Verification          39
    
    
    
    VII  References                                          Si
    
    
    
    VIII Nomenclature                                        8')
    
    
    
    IX   Appendix                                            3/.
                                   Hi
    

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    ". J.
    

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    No
    10
    
    
    11
    
    
    12
    
    
    
    13
             of a Gaussian  pl.,rr;e r>e3 t-h^L" for different
             values of scaie^faci/,:,i'  p.^  v u ~ iO  m/i.ec,
             w'w! - 1 iti^/'sec'1',  0'-=  -5 !.'.•'-/sec-'-, ri^^lrc;. 1
                                            1 ) ,
            Mean cohcentrai- ion prclilei „ (
            same conditions aB fig.  9.-
                                                                 Page
    
                                                                   33
             Influence of  iniois.]  v^ j.ue^ . ]' CJ'w'  o;>
             subsequent  distortion  uf th^ (;cjACcnti'a-
             tion profiles,
    
             Comparison  of v-elocity  clisi.ribut ions in tlie,
             neutral, planetary oou.r^ia.-y Layer  (?,._ - 0,008  m,
                                          •;-c. • a*  predicted by
                                                      v -: rh
    35
    
    
    37
    
    
    4o
    
    17
    18
    19
                                             '.\y^. ior •:•/ altitude
                                             L>  t'\o  tportei using
                                             >.rV,[:=!fc  w- ,.K fig.  A4),
             Contoart;  oi' '-^'loi ULIT  l,-:n^r. .. ;;,;ale  /L at; a.  function
             of altitude and t. ^ ;^e  ™ '" ^-r; -^  prvdl oi ed.  by  the
             model using the ayua>i'e ricj "j e eqi.viT.icn (compare
             with fig.  A8) ,
    
             Surface shear stress  as j. -function of distance
             downwind  of a step  char.s^- IP. surface roughness
             as predicted b,\ tr,e  i^odel '— -)  and as observed
             by Bradley  (  o  '(re:',,  ib),
    
             Contours  uf co/sv. la^jl.  i.uu a''- strv.hs  in  i-i:e  ,'lclnity
             of a change ~j n : ounn^t-, t,
                                                       o   ,2
             (Up, - 10  ai/b-c, nti.t r.\l  *• .-..^ili iy ; .
             Atmospheric  cr ^o ; T U,/ ,•  -u;d;;!!n-d  for tr-t- unucable   50
             plume calculations ,
    

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    No,                                                      Page
    20      Decay of maximum concent, ration as a function      51
            of distance downwind of an effective  100 m
            stack in atmospheric conditions prescribed
            by fig. 19,
    
    21      Contours of constant mean concentration at        52
            various distances downstream of a 100 m
            stack in atmospheric conditions prescribed
            by fig, 19 a) x = 0 m, b) x ^ 10 m, c ) x --
            50 m, d) x =. 250 m, e) x = 500 m, f)  x = 1  km
            (the contours a.re labeled with 9 = 90% of
            maximum,, 7 =. 70%, etc.),
    22      Trie isame information as supplied in fig,  21       55
            with the concentration profiles now shown  in
            perspective,  Note the scale changes at
            different x stations.
    
    23      Standard deviation of the unstable plume  as      6l
            a function of distance downwind of release
            point ,
    
    2--J-      Ratio  ;f meander area to instantaneous plume      oi
            area as a function of distance downwind of
            re lea £30 as predicted by the model for unstable
            conditions and as observed by Wasko and Moses22,
    
    J;:      Contours of constant values of c~rCT at the same   64
            x. stations as given in fig. 21.
    
    ?h      Atmospheric conditions assumed for the stable     66
            plume calculation,
    
    'dlf      Decay of maximum mean cone-en trat- ion as a  func-    67
            tion of distance downwind of a 100 m stack in
            atmospheric conditions prescribed by fig.  26.
    
    28      Contours of, constant mean concentration, at        68
            various distances downstream of a 100 m stack
            in a stable atmosphere,  a) x - 0 , b ) x =  10 m,
            c) x =.  50 m, d) x = 100 m, e) x - 250 m,
            f) x -  500 m, g) x -^ 5000 m, h) x ^ 10,000 m,
            i ) x -  20,000 rn,
    29      Contours of constant values of C'C1 at the        72
            same x stations as given in fig. 28,
    

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    No.                                                      Page
      i>-"i i                                                        "juA—
    
    30      Decay of maximum concentration as a function     75
            of distance downwind of three different stack
            heights in an unstable atmosphere.
    
    31      Ground level maximum mean concentration as a     7 6
            function of distance downwind of three differ-
            ent stack heights.
    
    32      Maximum ground level mean concentration plotted  77
            as a function of effective stack height.
    
    33      Decay of maximum concentration as a function of  79
            distance downwind of a 100 m stack in a neutral
            atmosphere.  Plume  A is released directly above
            an abrupt change in surface roughness (from zo-
            .002 m to z0= .25 m) and Plume B is released far
            downstream of the change in roughness.
    
    34      Ground level conbours of mean concentration for  80
            Plumes A and B of fig. 33.
                                 vli
    

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                              SECTION I
    
                             CONCLUSIONS
    
    We believe that significant progress has been made toward
    our goal of developing a viable computer model for predicting
    the fate of nonchemically reacting pollutants released in the
    atmospheric boundary layer,  We have both strengthened the
    foundation of our model and increased its capability.  This
    is not to imply that the turbulence model is cast in concrete
    at this point.  Rather, we expect continual modification,
    particularly with respect to the treatment of the scale as
    more and better experimental data becomes available,  However,
    the sample calculations of several flow problems of practical
    interest presented in   Section VI   demonstrate  that 'the
    model is currently capable of providing results directly use-
    ful to EPA.
    
    More specifically, interesting conclusions frcrr. the sample
    i'r;!c;,iatlcrio are mat:
    
        :'rj.ere arc signifleant unsi.eady influences on the surface
    shear stress induced by the planetary boundary layer on a
    typical day which cannot be predicted as a function of
    stability alone,  The surface shear stress under neutral
    .i-jr-face conditions can vary as much as a factor of two between
    -..end';: ions where the surface heat flux is increasing or decreas-
    2.  The same model of turbulence is capable of computing the
    dispersing plume during both its early time meandering phase
    and its late time diffusive phase,
     .       a single plume with an effective stack height of  100 m
    the maximum mean ground level concentration will occur around
    noon for the turbulence field predicted by the diurnal calcula-
    tion.
    
    ^ ,   Model predictions for shear stress distribution in the
    neighborhood of an abrupt change in surface roughness agree
    with atmospheric surface data,
    
    3,   Model predictions of plume dispersion from different  stack
    height is show a dependence (close to a ~2 power law) of maximum
    ground ^concentration  on  effective  stack height,
                                  1
    

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                            SECTION II
    
                          RECOMMENDATIONS
    
    In order for EPA to gain maximum advantage from this program
    we recommend that the coupled set of equations for turbulence
    generation arid diffusion be programmed to run on EPA's UNIVAC
    1110 computer.  The development of the turbulence generation
    model to this point in time has been limited to two-dimensional
    situations with one of these dimensions time or a streaming
    direction in which the program can march.  With the confidence
    gained in verifying the model results with experimental data,
    It now appears appropriate to upgrade the model capability
    by adding an additional dimension to simulate a three-dimen-
    sional problem with the variables parabolic in one dimension,
    The pollutant dispersal model presently capable of computing
    such 3-D problems can be directly coupled to the turbulence
    program.  This extended model would require a few hours to
    run on our company computer (Digital Scientific Corporation's
    META-4), but should only require a few minutes on the
    'JNIVAC 1110.
    
    It is also  Lcp^rtant to carry through a number of model calcula-
    tions of plume dispersai to determine under what conditions
    the standard Gaussian plume assumptions lead to unacceptable
    

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                             SECTION III
                            INTRODUCTION
    
    The goal of our research is the development of a viable
    computer model for predicting the fate of nonchemlcally
    reacting contaminants released in the atmosphere.  Since
    most atmospheric pollutants are released within one kilo-
    meter of the earth's surface, this necessitates also develop-
    ing a reasonably accurate model for computing the distribu-
    tions of winds and turbulent fluctuations within the planet-
    ary boundary layer.  This report details the progress made at
    A,R.A,P. towards this goal in the past year.
    
    Our approach is to use the Reynolds stress equations to
    compute the turbulent fluctuations with invariant modeling
    techniques applied to close the system of equations.  Details
    of this approach have been given by Donaldson I/ 2,  The
    basic assumption is that the dependence of third-order
    correlations of the velocity fluctuations on the second-
    order correlations, the mean flow properties and their
    derivatives, is invariant with respect to changes In the
    flow geometry,  This permits data from relatively simple
    flow experiments to be used in evaluating the necessary
    coefficients in the modeled terms.
    
    The previous report presented the derivation of the set of
    equations on which the A.R.A.P. model of atmospheric turbu-
    lence and pollutant transport Is based.  It included a
    discussion of the process used to obtain the closure model
    and the values of the basic model coefficients.  It also
    contained some typical examples of computations as well as a
    discussion of the relationship of our second-order closure
    model to first-order, eddy diffusivity models.
    
    In the past year we have extended the capability of our model
    in several significant ways: by incorporating a dynamic scale
    equation when necessary; by incorporating the capability for
    boundary conditions varying in either time or one dimension
    of space; and by incorporating the capability to compute the
    dispersing plume in its meandering phase.  We have also
    strengthened the foundation of our model by further compari-
    sons with field data and have developed approximations to our
    
                                  3
    

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    full system of equat lonb tr.ut with setae slight degree  of
    approximation may be used in snore uon^iicated  f.:ow  geome-
    tries where economy of comput : tig ti^e. dictates a  s
                                                    mpler
    tiOQ
    iddition to detailing
                             t ne
    in the following sections sam
    flow problems that are of cur
    of the diurnal variations In
    iri the planetary boundary lay
    of turbulence occurring wht.n
    change in surface roughness;
    released at different heights
    different times of the day ov
    model extensions, we include
    pie calculations of several
    rent, practical interest:  that
    the turbulence distributions
    er; the spatial distribution
    the wind blows over an abrupt
    arid the dispersal of a plume
     in the boundary layer- at
     •r different terrain.
    

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                                         SECTION IV
                            MODIFICATIONS  OF THE TURBULENT MODEL
    |          When the  Boussinesq approximation for density variations  is
               used, the mean flow equations and .the Reynolds stress equa-
               Itions may be written as  (See ref,  1 for a  derivation of
               these equations.):
                 Du.
                   ~ _    u	
                            .   — u   — -i \   — j  /     r'  —-i
                            J            J  \     J  /
                                                                             (1)
                   11 =  _  o   u,u, +  -    , v   -  , _ _r_ _^__ 4 __:_ _ ^e    n u
                 ut       ox.,  i j    oxn.  \   oxn. y    p  oxn.     i^     IJK j  K
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                 ou.
                 7^-0                                                     (2)
                  T,,.      du.'e1         x     /   ^-  \
                  Lg _  _   _1_     A    O     /   O0__ \                          , ., ^
                  Dt ~    ~5x~.      "* + "STT      '5x7                           ("3/
                            1             -1   \     x /
               Dujul           du,          ou,    K,         g^uT^1"
                   u
               1^." ^- =  -  uJu'  ^—
               Dt          i  k ox,.
    
    
                       ~Sx^ vu^uiuj^  ~ -p -g^      - -377    ^-  -p- [-$£-;
                           2	       	r—
                          o u J u'.       du.1  out             	            	
                      ' V   r-i    ™° ^- V ^—   _i —   "" ^-^-jn^rt ^iii_ U/jUj  *~ ^iGjflT, ^/?   k""1
    

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    DuJ 9
      1
    
    
    Dt
              -T—r ae
            - u! u . -5—
               i J ox.
                     J
                                     d(0'u'u')
                                 J      J
            pi d0i   n «2
    
            T^~ +
                                        -  KU
                                                               (5)
    Dt
                    "S5T7
    
                      J
                                  ^,
                                         v2T72"
    The closure model we  currently use to close this system may
    
    be written as:
    o
                  i- -
    
                   P
                        'u.
                                Sp ' u
                       :.      p  ^xT
                                                  [A
                                                        J.
    El  /-Zi
     p
                                          A
                                                      3
                                      + —7=T ( U .' 1 1 '
                                                    6ijq'
                                             .   .
    
                                               J
                                                                (9)
                              60
                                        o
    
                                      = S
                               P_'.
    
                               P  dx±
    
    
                                   6
    

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    This model differs slightly from  that  used  in  the  calculations
    of rc.'fs, 1 and 2,  Velocity and pressure diffusion in  eq.  (7)
    are combined into one simple gradient  diffusion  term requiring
    only one coefficient rather than  the two of the  previous  model.
    This present model will be used, until  some  experimental
    evidence provides the information required  to  evaluate the
    coefficients in the more elaborate expression.   The  model of
    the dissipation term (eq,  (9)) has been modified so  that  for
    very high Reynolds numbers when X « A dissipation will be
    isotropic.  The coefficients s and A-j_  have  been  added  to  the
    temperature terms in eqs,  (10) and (li),  Tne  desirability  of
    this generalization was indicated by comparing model predic-
    tions with the experimentally determined Monin-Obukhov func-
    tions for turbulence in the atmospheric surface  layer-1.
    
    With A.^ _ A'"/ (a + bqA/v) the modeled equations contain five
    constant coefficients (a,  b, Vc,  s and A^_)  and one model
    variable, A, the macroscale of the turbulence.   The  value of
    the coefficient a was chosen to be 2,3 in ref. 1 ,  but  some
    recent numerical experiments indicate  that  it  may  more proper-
    ly be as hign as 3,2t> to obtain good agreement within  the
    laminar sublayer of the fiat plate boundary layer.  The high
                                        considered In  this report
                                           The coei'r ic lent  in  the
                                        -.•••, b, uu;  be determined
                                         ;i.<, dissipation terms to
                                         i- tret- 8 wall layer of a
                                             itn that  cho
                                             set. equal to  0,
                                           rlc jets -aid wakes
    
    The rtniaining coef f ic i er.ua  A-, ana  s were chosen  by ^comparison
    with measurements in  t nc a! moi.ph^j'ic  surf ace  lo.yer^.   Near
    the su/'face the turbulence  equilibrates rapidly  to  any chang-
    ing surface conditions and  th^  flow may be  considered  steady,
    so that eqs, (]} to (3) reduce  to  tne  conditions that  the
    shear stress and heat flux  be independent of  height.   In this
    constant flux region  eqs,,  (4) to  (6)  with the model terms
    from eqs. (7) to (11) lead  to a set of ordinary  differential
    equations as a function of  the  single  dimensionless variable,
    the height z normalized by  the  Monin-Obukhov  scale  length.
    The parameter A-,was chosen  (= ,,7^ ; r,o  make  the turbulent
    Prandt] number agree with observations  for neutral conditions,
    arid s was chosen (= 1.8) so  that  t.he  temperature variance
    was properly scaled.  Comparisons  of  the distributions as  a
    function of stability for the variables du/dz , SQ/dz,  w'w',
    u'01, 0'0' with observations are glveri in ref, 3,   All the
    comparisons are quite favorable.
    

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    The numerical technique used to solve  our model  equations  was
    described in Appendix A of ref, 1,   This fully implicit  tech-
    nique was used for all the solutions discussed in this report
    except for the numerical experiments described in Section  V A.4.
    
    A,  ADDITION OF A SCALE EQUATION*
    
    In all previous calculations using our turbulence model,  the
    pertinent macroscale length A has been determined at any time
    by the gross features of the turbulence distribution,  with no
    influence permitted on local conditions or past  history.   Other
    researchers have used a dynamic equation for their equivalent
    scale, such as may be obtained from modeling the dynamic equa-
    tion for either the dissipation function5, the two-pointt_
    velocity correlations^-» °, or the vorticity fluctuations'.
    As Bradshaw^ and Mellor and Herring^ have pointed out, when
    the turbulent energy equation is used to derive  a scale  equa-
    tion, the principal terms in the resulting A are essentially
    the same for all formulations, namely
    
    
                          - s0 ^4 -t- diffusion terras  + possible
                             - X    stratification terms      (12;
    
    
    Constants s-, and s^ multiply the production ana dissipation
    terms respectively.  Trie principal difference in expressions
    lies in the construction of the turbulent diffusion terms, and
    unfortunately these turn out to be more important in the scale
    equation than in the Reynolds stress equations.   Our approach
    r.&s been to start with a rather general diffusion term of the
    form
                                                 ^       ;V2
    diffusion terms - SQ w   ' " ~ •  w"  '    ~  "  d   ' '-"  dc
    ~(vcqAlr-)  + s3^lrlqAlx^)
    .  \  \-t   WJ"Y •  /     j   
    -------
    l.n combination wltri  the energy  equation  reducing IT,  to
    aq, ( i 2} .  As In the  formulations  of  refs. i  and 7 We  will
                                    /-A
    add a term proportional to  iA/q )  g_. u.' fcTr/To   LO permit the
    direct effect of stratification,,
    
    It is immediately obvious that  trie scale equation contains
    much more arbitrariness than  the Reynolds stress equations
    where many of the terms were  determined  precisely without
    recourse to modeling  or coefficients.  With  such a large
    number of coefficients in the scale equation,  a correspond-
    ingly large number of different experiments  must be  matched
    concurrently if the resulting coefficients are to have any
    invariant validity.
    The coefficient s^ ^ay  ^e estimated  I'rom trie  decay of homo-
    geneous grid turbulence.  If  homogeneous turbulence is
    assume a to decay as
    
                              q2  ~  *'"n                        (14)
    then from the q  equation
                                                              (15)
                                                              (16)
      re,,t.nt, review cf gi lu t ui bw..i.ci.Co  tx^ei^inicnt &  cy Go.d-el-Hak
    h.nri
                u
                  shows values of n  predonilnantiy  ostweeri 1 and
    I,-; W:.lh more of the values  lying  near  ,: , 25 ,   This value of
    To reduce the number- cf diffusion  coefficients  it  is desir-
    able to keep the coefficient of  the  direct  diffusion term, SQ,
    the same as in the Reynolds stress equation.   This calls for
    SQ - 1 ,   It is compatible with this  assumption  to  take So = 0,
    since with SQ - 1 any combination  of m  and  n  for an expression
    of the form
    
                              . v
                               .
                        Dt       e
    
    would lead to an equation  for  iJA/Dt wltli  s,~  =  0,
    
    A simple relationship between  ?>r>)  s-( ,  Sp  and Sh  may be obtained
    by looking at the reduced  form of  the  scale  equation In the
    steady, neutral, constant-shear-stress  layer near a solid
                                 9
    

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    boundary where we know that
                               A = a z                       (18)
    
    with z the distance from the wall and a a constant set equal
    to approximately 0.6 in ref. 3.  In this region the scale
    equation reduces to
    which, with the aid of the energy equation, may be reduced
    to
                          s,, = sAV  + (b/a2)(sn - s0)        (20)
    An estimate for s,-, the coefficient of the stratification
    term, can be obtained from the stable, constant flux layer
    for Richardson number equal to its critical value, where both
    A and q become constant.  Under these conditions the scale
    equation reduces to
        0 = - s  -   THwT    - s bq + s  A  JL. ^TJT           (2i)
    which, with the aid of the simplified Reynolds stress equa-
    tions for this region^, reduces to
    
    
                          s  = s  + -£3-. (3  - s  }           (22)
                           ^        u^A        *
    
    VHrien the values of the parameters used in ref. 3 are chosen,
    this yields
                          s5 = 5.6 s1 - 4.6 s2               (23)
    
    
    This leaves s,, sg, and s7 to be determined by computer
    optimization.  Prior to doing this we must determine boundary
    conditions for the scale.
    
    The boundary conditions on the scale equation are not as
    straightforward as those on the Reynolds stress equations,
    since the scale need not go to zero at the free boundary
    of a region of turbulence.  In fact, the eddies extending
    the farthest are expected to be the largest eddies present
    in the region.  At a free boundary we therefore set  A
    equal to some fraction of the spread of the region of
    turbulence.  For axisymmetric problems a good choice appears
    
                                 10
    

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                                            he  region  oi  turbulence
    as measured  by  trie  r ad! .•.."-; oi  In-.- regir.n w>. -re  q^  equals 1/4
    of Its maximum  value.   Tills oo^nri&ry condition Is 2  times the
    algebraic approximation used everywhere for  A  in  ref.  4.  For
    a two-dimensional region of turbulence a  value uf A-,,j^e = 0.6
    times the spread of the region of turbulence se^m-s to be
    appropriate.  The otner boundary ;oiiditlon  is  that near the
    surface of a  solid  ooundary A she Li Id go to  zero like a times
    the distance  normal to the* s^rfaci-.-,  consistent with  eq. (18).
    
    The edge boundary condition .appears simpler  if one chooses
    to use the dissipation equation, since t  -  bq-V'A  clearly
    approaches zero.  However, this je;-:1. L-S A  1 ree  to  approach
    any value from  0 to «>  a,;:> q -+ i; :nd no Independent  information
    is gained.
    
    Since the production term is small for a  fnomirntumless wake,
    this provides a flow for estimating sg and  s,v  to  lie between
    0,3 and 1.   To  r e d u c e  t h e un c -o i' t a i r \ y i r:  t he s e c o e f f i c i e n t s
    we have rather-  ari?!tr'j.ril.y si'4" bi, --. j»^_ -  ^//2J The  last
    coefficient  Ok^y now be determined by computer  fit with the
                                                     we- have some
                                                     ; iycfiij Ibly due
                                                     Ii  t^rms; but
                                                    . ron,iie.  This
                                               .c-a by Roal° who
                                               'oei'flcient from
                                                          ,rc - 1
    Wltn one abo-c-  cr.'Oic=.-h  lor  r -,-  - c> ''i viexiib^  o^r proposed
    scale tquat i>.-n  i..'c.c; !(K;I:<
    DA           A
         0,375
            , '•' • ^.A ... L_z	                          C?4^
    dx.  /       ?      T                             v   '
              Q       O
    As noted earlier,  we  cannot assign ctt> riigti a  confidence level
    to this equation  as  to our modeled Reynolds stress  equations.
    In fact, it appears  that  unless the turbulence  is  far out of
    equilibrium, our  previous approach-*-1 of simply,  limiting the
    A to be equal  to  the  .lowest, of the three hounds
    
                                   11
    

    -------
                   i
                  11)  A < C.2 6rjl
    ill)   A < C.
                                           1 /?
                                    rn     i -*" / '—
                                     o
                                  gdF/dz !
                                                               (25;
    is quite satisfactory for the planetary boundary layer
    problem.
    
    The scale variation with height for the neutral planetary
    boundary layer is shown in fig, 1 using both eqs.  (24) and
    (25),  The upper value was given whatever small value permit-
    ted a smooth tail to the curve,, rather than a fixed boundary
    value for this flow.
    
    In summary, eq. (24) appears to provide a reasonable estimate
    of the macroscale for a number of different flow geometries;
    i.e., for homogeneous turbulence behind a grid; for flat
    plate boundary layer flow; for a free jet; for self -preserving
    drag wake; for a moment umlesj; wakej arid for the atmospheric
    boundary layer under both neutral and stable conditions.
    Thus we will tentatively use this equation, but may anticipate
    modifications ^^ farther flows art considered.
    
    
    B,   TRANSFORMATION  TO STREAM FUNOTIGIJ COORDINATES  TO
    
         PERMIT  SPATIAL  VARIATION IN  ROUGHNESS
    
    Tr.e planetary boundary layer £,r^gra::i for- ref, 1 set the mean
    vertical velocity, w> zero everywhere   £s seen by eq.  (2),
    this is appropriate as long as the other velocity  components
    have no horizontal spatial variation.  To permit spatial
    inhomogeneity , we may transform eqs, (l) arid (4) to stream
    function coordinates without adding any further equations.
    This may be done by defining a stream function -^ such that
    so that eq. (2) is satisfied automatically as  long as  v  is
    independent of y,  Then the convective derivatives in  eqs.  (l)
    and (4) reduce to ud/dx for steady flow and  d/dz =
    For steady flow, our transformed equations, as programmed  in
    coordinates x and ^ now may be written as
    
                                 12
    

    -------
    Figure 1:
                                        A, gross  features
                                               A, dynamic
                                                    equation
                     40
                60
    80    100    120
    
    A, meters
    140
    160
    Macroscale variation with height for a neutral
    planetary boundary layer as given by the
    dynamic equation, eq. (24); and by the gross
    features of the flow, eq. (25).
                            13
    

    -------
                    a'"1"*
    
              -  i    an sir, *  -       .                           (281
         \  u
                                                           2
                  	  I  ~\ T      I {*"1 1 1 A 	      \  __ ^  I 1 i 1 1 1 !  	  ^*.
                  _____ ^  ^/  -.•— I L[ L>1 /V •"•"—"• •—••-—  i
    4 v
    
       c
                                    |vwi \  _ ju
                                    01^     /    uA \
    
    
    
    
                 40
                 |   	          	       ^                  /
    
                 Jff (uivi  sin 0 - u'w'  cos  0}                  (29)
    w'
            ,   x  dv'w' \    q  —
            ( quA -%-. -  j  -  ~- v
            \ ^   o^    /    uA
           — :— t-      TT      ,   x               — : — :••
       -^ - w'w'  -T-T + V  -3-7 ( quA -%-. - j  - ~- v'w'
                       c      ^
                 u Tw ' sin  0L u'v1 cos  0]
                    u'v'  sin  0                                  (30
                                                                 (31)
           —5—r ^u   ,,   5   /„,, du 'w' \    qu'W
         - W ' W '  -r-r- -I- '«/   --c-r I  QUA -T-r	 1  - -*-r	
                 01//    C  OT/' \     OT^    /    UA
         -^ [v'wr sin 0  -  w'w1 CQS 0  f  u'u1 cos 0]            (32j
    

    -------
                    -*r—    i; ' \fu '  ~^—~- —  ;   -^" -   i '-J Uit "^	•-*—— \  ~ —r—jp. |J *\J
                    dd-    '     oy    ' f  ci-^   \  *   of     /    UA
                           v'  - v'wr cos  ^ - u'u' sin  v1!         (34)
              L*
    
    
     n t1-;-,-  irquan io:j.s gi 
    -------
    foi'T;  a set  ol"' as ge m^ 1 o  reiat j.onaai us  Detwea.a crie  Individual
    Correlations  and  ':rrj vie an  fK-w  derl v -. '. ives ^  bat r'et.aln.Ing
    jo.Mveotion  and  lif^.^ioi': of the t ^fb-.-l^-ace  oy oar-ryir.g tht
    full  equation for-  q1-' ;   In  t>:is  ;,/.;-:.•,,  eqs,  ' ;I4 ) cr.i^ugh (1J)
    a r e r e p 1 a c e d  c y
    
                      OL, .      a                    /
       2
     Dt
                                                                    ,
                                                                    A.
                                                                      (30;
            — I u.'u,'  ,
            q I   i  11 ox
    
                                                    g.  -•—
                                                    o -   rp
                                                              ,
                                                          O  --J
    ol Iniinated  tfjy  .., -i
    ecuations,  base-."i or;
    the  planetary bo'.'p. '-
                                           ..  ., . i-.:J  :.o  .•-, .  ! 37 ) to  allow
                                        ...;-  ;-• :  ^y^teL'i c .'c-i-de termined .
                                         lh--, .,  ', ^o influerice  of the
                                         :   ^ 'i   '3-;  'ire distributed
                                        ", C--TJ ''- -  of q-': ,   We  have also
                                         t   '.•  ' :\e Reynolds  stress
                                        , i ..-rj  r'^it, SiA./q «  1  within
                             r ; :-.>,,/, '. f  i t^ o .:.-;, i -eq..ii j.i briuni results
                               .,-   ;•-,..  ,-, f,.-..^.ic ca icuia" Ion of  the
    ^c'bi llbrl urn dr st. r \ b-.-\  ">,.,\*-.  i.,  i,r-:-  \ larvtary  boundary layer
    !'?BLj«   The I'igar-^  .SIIOIA/L  rii.rJ   in- aLt;.:<',.xirru.te model gl -/es
                               \;.  tnr:  fui 1 ;-..?:-  for  this steady  flow,
                             ,.L^I  i/^/,^.L;L. ^  v.ae dynamic  response
                             -  v>r;  ', ;. irr,-.-, c f  f " j surface condition
                              !'•-•<  nq  i 1 lii-i .;.;  Jist r-ib\if. ioris obtained
    

    -------
        2400
        2100
                           U,V,10*QQ
    
    Figure 2:   Velocity distributions in the neutral planetary
               boundary layer  (ZQ =  .0774 m, f = 10"^ sec"1,
               Up. = 10 m/sec)  computed from the quasi-
                o
               equilibrium approximation (—) and from the full
               set (	).
                                17
    

    -------
          l.6r-
       o   I 2
       
    -------
    by the  full equations  ^ ::.s s. ov/-.  I':  ;">>. 2 ,>  are  taken as initial
    condi'.. jr,s ru,t Surface  neat flu<  1 o   . rl*, l wir:_ tiT~ aa given
    later  ^n eq,  ^j),   Figure i >;:iows  v,.-.  re^po-if.:  jf cue maximam
    normal  .'Cicc.jty v and  the maximum q^ o,a a function cf time  for
    3 hourt;  beginning at sunrise,   !vlax 5 :r u": deviat! cu  between the
    two solutions is 10% during this  p;.rr  jf the  -itay  w.en turbu-
    lence  is undergoing  its  most rapid  .-uanges ,    Alt/.ough the
    quasi -eqaili brium solution u^s so:;ic  piobiems  Ir.  t: acking
    the turbulence, the overall '.greem-u'.1  is accept:aoie.
    
    Comparisons cf the two  metho'ic '..*.-:  , \ sr, b-^ei^  rn=.ae ir; calcula-
    tions  of an axisymmetri c ,  moriontu^ie-LU:,  wake 12  wnich show
    approximately a 10^' difference j n tne  resulting oi stributions.
    The great  simplification rr^ct'-j pcfc^JLl.;  by the  QE  approximation
    appears  Ir, t^ aniplc  Juct M'i v -•r Ir,n ^ •:-  '.cce pi 1-.£ ^ he slight
    loss in  sc:.'.••":-..cy exnibitcd ir  ". ue.u;  :-o':.parisons .   Encouraged
    ' ^  ^ -" f^1 <~ -  r^-t ;  ~' r ^   1,1;:. t-j r r> 1 "i *:"- H f \" f~  ~'-'r~   • : ' • '*( • V ~\ ^'''" ^ ^ "\ '"  ^ C*- Q C* £* ~\ C*M ~°
    ~~ j  '' ' . ^  *- ^  J ~ > *-  ) '* * i  '/< . ^ - L !--' J. J '- -* ^    *-'^~  ( '• ° - -• ^ ^- A. J LI L—<.  .,- ^ 1 _  i. w CX ^, >-^. J- *-* vA
    lation  of  tr,;.. diurnal  vari',,ticr  in  iha  V31  (ser;  .Section Vi ;,
    a calculation which would require excessive time  on our _ .
    
    small computer with  thv~  f'.ll iv-t  of
    

    -------
                           SECTION  V
    
        MODIFICATIONS  TO  THE POLLUTANT DISPERSAL KGLE..
    
    A.  INCLUSION OF THE  CAPABILITY TO COMPUTE MEANDER
    
    A.I Background
    The diffusion of  a  pollutant; plume released  into  a  turbulent
    field strongly  depends  on the scale length of  t,\c plume aa
    well as the scale of  the turbulence.  La the £,R  /-„?,  invari-
    ant model, turbulent  diffusion is proportional  to t;;e  product
    of the plume scale  arid  trie root mean square  of  the  'curbulent
    kinetic energy  in the plume,  Much, of the work  described below
    deals with improving  the computational technique^ for  both the
    scale and energy  during the early .stages of  pi ;,ae growth
    before the plume  scale  nas spread t:,- the scale  of tr?;  turbu
                                                                 -
                                            -„ , i L.
                                                 — X
             w ,       i.     ^  ...
                                                      ri.-.tt  :'-~kr
                                                    ,^.  j.oii _
                                             This  is :n.-.-^"sv-idenr,
                           t)l .'Ties are reie-Hed into t-.striblo 'i.e.
                                                    • j ,  the piurrie
    ;.,ca.le 1 L, proi't-f,tv  -u' s,ju;,od \nd !.''.' :  • o ^n^rgy  ^;;5ociated with
    die scale of  ~:i. -: j. ,. a/,e  :_,:, oo/u. i ;]<,/
    -------
    ciC '£"
                                                     ;^'ogj:-a'ii re,4^i:^i:3  less
            ,.  - 'wr /i    -..    ,M'W i  4'-'-  ;   .    -,   .';,  j  -i-
                        • r./            ,*'/         ;::  .   -  ~o  :3z
                                                             M , .  Jill1,  co:.Ci -
    
                                                            <:•-.:  In 1 ^ti-j. ted  In
                                                             L  a   .::.a -__dl_n:_ens ionai
                                                           11 r, p  -. >^ \ --^ r* 1 £1 ^ "t ni f^ (1 g 1
    
                                                                    . ^'~..-  :'cr-  the
                                                                                 (40)
    

    -------
               ^C ' w
    lr, eqs ,  (40) -  (4'i)  we assume that  i;^ Re^iio^'j^
    iriigh  e 'lough so  t hat  \7iscou3  dlf'fubloc leftr,^ -'fi-y
    cciiipai'ed co the  turbulent  d"! f'f 'jslc/:  te^Tis.  i'r =;
    of these equations  is 'ieRcriC^J lr  '.'L-i.  \   "or
    reader ,
    The values for  ^n/.- various  triodel pdratneters  ar..,-.,  -,s f.-xpla
    in Section lvr,  vV  - 0.3.  A.!  -  0,7^,  -  - l.ri.  --~na :, -•- 0,i2!
    'er-tns  in t:>.e u>S~ and 6 ' 9 '  eqaatiott,,
    j c o „! iic s  w • ICL ^ ~. nc  . u i * ^ u ju v^ n L  o ^ ^ i [T11, o L»  11 u..rry o1 L  i ^  . o
    turbulent Pr^adtl  '•L'Tber  under neutril scifcll: ;._
    arid  that the spectra of  concentration  f 1 jc t ua\ i'
    tc  that  of t-'-oerat'urr n^r:4;.': v :.:..-.  jOi-ot-^,
                                                  •iiOcij"  Concentration
                                                     - ' .   ^'' -s -1 t ~ , , -? ", ^T.
                                                          •. _  - A • : i ti,
    The  constrain!  simply e ^,''-,;    .hat  '/'.^ .aixing scale cannot be
    larger  than tu.  largest  . LLI-L'^ ie./.  j ^:.;, .   The pr-,-^,T" lonal ity
    

    -------
                                       ,j»J  /,  ^   .
    ''.:'•         •  ' -j >i. ,  ,' ,   '.(.   to'j.o   j.-j t'l;.. ' J  J~ •
                            - [j
      I.'-,.-  :,; v iraj,e  Kinetic  a>:v:, :gy  coij'Cd.
    r.',  e^u:;',:S  with.  ,:  scale  Is.ng* L  A<- ,
    ,   Is  : . ;•; o?.s-] s t en";  w:1":   T,  j  -x:,cr-i-
    '=••*-•>••''>-,,•>-'.>•:  . -f  '- >  -; ",-)'•-   '  . '  - ' -- ~(\   : '
                       * > .^  r  '   r-   -,'--"•-  • s  •
                                                            the  p I ;;• •"
                                                              start
    

    -------
    w •' w
                                     (' C, I
    • )i . •. '  -j ', r'fan 10:
                                 a^.nt..
                                 he plum
                                 -  ai.d
    

    -------
    the  v.. a 1*"?'^  of  ::;a-> niauerieal technique used v;  -;a' t  .• :• "  '-.
    *2J;JiJL2a2iiL2±i£2. P-^tion  of the plume history  was  lava:.  •. ;,%•; -•
    by  .".•onslderlng a  plume  with  an initial  Gaussian  0:0!.-'  ..ate
    defined  by a  standard deviation of 1 m  and a noi'Tiai iaaa
    :-eiittrrilne concentration of  1.0 released into an :GoirapJ.'.
    vurbulcnca field  with FH/P" -.-  1 r^/sec?.  The q0  ~* a  i:.;.ar
    wao  aenievad  by  setting iaentic'^Ily ic  a the oiii'as  aa  a.:,
    reiidenoy-co- ! sotropy terirs in eq.  (^1),  Ac  wae.  'lo^r, .  , "-ov-.-
    iaie  amlyr.ic  sol.:;lio;j showa  tnat  tae plune  splits !aio  ,aa
    Identical w;vc-b,  ajco, having a, aaxifiiurr  concentr1: •_ _.an of t, ,
    ana  ..r'avelln^  iWa,}/  r i-oa the  je.ater cp  the  plun.e  t::1:'1 -.'.
    •y^-iC'' i.i ,y  j:   I  ia 'ii-1 /.
    
    'i;i-...^   -«  oij^':•.'.", " tf-:  .'c-./^^ala-a  •"> i A ' /a uc "- ic%a .In  t "a   • .    ... ;a "
    a/a  :-! 'jownwlna ;jf  plurutr rsleast-;,   The ayrneaiaii  -r •-•• .'._•.-:-
    '.vat;  a f ully-ii'Lpl i'.1 i.t tridiagonal  algorithm1'1 wl-r .-j
    aei•,',!t ;• iritr ^  jiaximurn local concenti'af ion i-hanp>'  a-
    
     >i  .-t   -;  nl,"  .-'.:*,•'.   '." ;i.' '. . ;_-- i  '/.  '. fjc1 „-";!• .j i .-.o;-i'.  whit, L'J  it ;j£ or, i ;• i. t 1 7"j l ^;'  the  lar^';-
    
    s'r'aj; i-jr  t,i:.(p  .<:'.:•:-  _-;-quI re
                        ,,. i .
    fiold,   :':<& ]•!  ;ri£-  scale  wa-5  iuv1,i  cor;-,tant <.,l  ^.v,'-  "  ., , ;
    :,uu';,l r a !\j,niuL.t ;'•:.'  "'.] c:ia!  V(, Wf se .-idj'jL. V".">.  t.,..  1.0 ur.1,     <
    .•f;^! ^ ..-I,; v'0.1.7 ?  '•'• o'rd--r'  to coincide  w;1"1";  c};e  e.x af.   ?a "•
    a,lv."^ U,/  ens ,  (bt ">  c-iid  ', ;;1^,   rlgui'-:a  a  and  o on:
    ;'or;par.f:ai  ^.f'.d  axact  ?orioenira* iaa  pi'aflies a1,  ai,i4";;aa  .a
    

    -------
                CONCENTRATION  PROFILE
               IN  WAVE-DOMINATED REGION
    
    
                           x = IOOm
        JOr
    z, m
                     ^-Numerical solution
    
                                      Exact solution
      Figure 4:  Comparison of numerical and analytical
               predictions for one-dimensional wave
               propagation.
                          26
    

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    -------
                 CONCENTRATION PROFILE
    
          FOR DIFFUSION-DOMINATED REGION
    
                       x = 5000m
        lOOOr
        800
        600
    z,m
        400
        200
    10'
                           Numerical solution
                    Exact solution
                               10
                                -2
    10
      -i
     Figure 6:  Comparison of numerical and analytical
              predictions for one-dimensional diffusion
              far downstream of the release point.
                         28
    

    -------
                                  • '"•.r-gfi ;.>K-J  -^A-<,.•
                                 ,  ex^(-t value  .>,^L  :.t.-  ';  •>  ,    ~. : .  jt
                                t,-  vocation  at v-;;iicti  crie   :>ac t :'ri,Llc
    "s  wit?. in  1'? )f  : " ;•.  rvv;x!mum value  is  ^.ecura'o  :   ^"r._-,t
    '!1v:e if'  :'-:;rp.:t :; : nio -vere made  wi^h  tt •fi^xi'nirr. S".^L  .. va.,^/-.  of
    to  insure ^°( -ice ^-'i-y : a  c
    doQir;ato:j pi „ re ,   This co'noinaf- ion ie^dsJ  to ;>irc,e:'  errors
    during  the c^r'y  w.j •/•-- ioa:i-i ;,ted r-eg'ou,  but 8l/;,--_j  tfi- extent
    of*  tf-iis  regior.  i:; -\  smj,ii  porvt:ja  of ~ru-  plunie  '. i r..-t : :nj,  it
    IB  c:msid?r-d  to  b -   ,;t- ,v^'-pfai?] e  [-•.--  -.>  r-y    , "  i-rTiaf^::
    corripvit 3 t lor.  * -rr^  -^.d riu.L'.er ica..- ictao i. .. Lt y ,
                                                                      t arbu-
                                                    '',..                  (52)
    
                                                    u re  U'L-,-  -«x t  f-r.^e  ioca -
                                                   2^^ oi" t be  aiaxiraum
                                                    (4^;  itnii has  jeen
                                (ie.  ?(.>r  1 tj-;-  [•"'...upe tu,a.lfo  I'1  th>; wave-
                                ','^r,   '",-" •"'•'••-  p-Tfoses or deitcnsti'at ing
                                ;i. ; '   -v.;in  !'•,.,.if •  'o thie pi ar^e  scale.
    

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    -------
    z,m
                       EFFECT OF PLUME SCALE FACTOR
                        ON CONCENTRATION PROFILES
    
                                   x = IOO m
         0
    .02
    .04
    .06
    .10
    .12
      Figure 9:  Mean concentration profiles  100 m downstream of a
                Gaussian plume release for different values of
                scale factor p.   (u = 10 m/sec, w'w' = 1  m^/sec,
                q2 = 3 m2/sec2,  neutral stability, Oj_ = 1 m,
    
                Cmax,  = -1-)-
                    1          33
    

    -------
        I40r
        120
        100
    Z, m
         80
         60
         40
         20
      EFFECT OF PLUME SCALE FACTOR
        ON CONCENTRATION PROFILES
    
                 x = IOOO m
                   .005
                  .010
    .015
    .020
    Figure 10:
    Mean concentration profiles at 1 km for the
    same conditions as fig. 9.
    
              34
    

    -------
        800
        700
        600
        500
    2, m
        400
        300
         200
         100
      EFFECT OF PLUME  SCALE FACTOR
    
        ON CONCENTRATION PROFILES
                            x=IO,OOOm
                 .001
             .002
    
               c
    .003
    .004
     Figure 11
    Mean concentration profiles at 10 km for
    the same conditions as fig. 9.
    
             35
    

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    "/'f.'.'in  •*.  few  hiind"ed rue t era  neight variation.   Trier1; 1.-: r
    '  ".ds "'..•;.>': a 1 difficulty in  including tnis effect in tne
    7:'o?i",H'1 since we are computing variations  in  y and z -3s
    •'•.u''C •- ion  of x}  but !.t does require the computation of tn
    pj,.j';ie in.  the  full (y, z) plane since this  will destroy t'
    ^ymmeiry  of trie plume in the  y direction.   This
    require a doubling of computer time.
    

    -------
                              SECTION VI
    
            SAMPLE  CALCULATIONS AND MODEL VERIFICATION
    
    The computer model  is  now capable of making a wide range
    of calculations  of  practical interest.  The following
    examples have been  chosen for demonstrating its capabil-
    ities and for their own inherent Interest,,
    
    A.  STEADY STATE, NEUTRAL,  PLANETARY BOUNDARY LAYER
    
    The mean wind and Reynolds  stress components existing  in
    the steady state, neutral planetary boundary layer have been,
    computed and reported  on in ref. 11 which Is included  in
    this report as  the  Appendix.  The macroscale used In those
    computations was determined by one of the bounds given in
    eq. (25),  The  results were compared (in fig. A3V with the
    wind and turf,u,1 e.nce profiles computed by Deai'dcri'-"-1-^ using
    his three-d iver-oion-ii,  unsteady oa ; ^-,1;^ ions ,  ..^r c.d.i,3u-
    latio.n rias D- er.  !••;,uedted u.sing the 1;, r.amic sea.;; /q^ation
    given i n. en , '   ''•} ,   Thoo- re;'; Its d"-- ,-,- ' so cciLC-ir^c; with
    Deardorff's ••"cr/lt,; (appropriately un^ormaiizen'' jr< fig, 13-
    There is relhi^ly little  di. f ferer cr: between tne results
    for the deter-ifl rut. loj.  of n, v, arid q 'tsing the two approaches
    to the deter-" irv.t i or: of the u-.-aie.  In either c-n-:e ; the wind
    profiler: agr"o<:  r-,r- >oit-'h iy we]' with Deordorff's but the
    turbulence i;s a I ^: i f 1 rant ly lower,  P.trt of the discrepancy
    is probably t au.seci  cy  the low riJtliu.i^ at which Deardorff
    matches with the geost ropfiic wind, but it may also indicate
    that our predictions for the herizontnL wind variance  perpen-
    dicular to the  ..surface  wind are low.   This component is
    difficult to .determine  empirically.   Measurements as reported
    by Panofsky1^ contain  an uncertainty of a factor of 2  in what
    this component  should  be.  For the present, however} we will
    accept this discrepancy and use these resulting equilibrium
    profiles as a starting point for a more Interesting result -
    the dynamic response of the earth's boundary layer to  chang-
    ing surface heat flux,
    
    B.  DIURNAL VARIATIONS IN THE PLANETARY BOUNDARY LAYKR
    
    In the Appendix  we  discuss  the detailed calculation of the
    response of the  planetary boundary layer to trie changing
    diurnal conditions  embodied in the rising and set.!lr;t;  of the
    

    -------
        2000,
        17SO
     -2
                       U.V.lOad CMPSD
    Figure 13:
    Comparison of velocity distributions in the
    neutral planetary boundary  layer  (ZQ = 0.008 m,
    f = 10"^ sec"1,  ug =  10 m/sec) as predicted by
    the model with dynamic scale equation with
    Deardorff's model predictions  (	)(ref. 15).
    

    -------
    sun.  Tne present  discussion will briefly summarize  the input
    conditions  for  this  calculation and highlight  the  results.
    A further calculation made with the scale equation -.f,  its
    dynamic operation  will also be touched upon,
    
    For the actual  calculation of the diurnal variation  of  the
    planetary boundary Layer,  we program, arid solve  eqs.  (l) - (11',.
    subject to  the  quasi-equilibrium approximation,   Geostrophic
    boundary conditions  were  applied at altitude while at  the
    surface layer,  conditions  were matched with the  results of
    the Monir.-Obukhov  similarity analysis,  A temperature  inver-
    sion lid was  initially established at 2 km and  permitted to
    drift up or down  through  the course of the three-day calcula-
    tion as the computation deemed necessary.  The  inltid.1  profiles
    (with d - Q everywhere below ? km) -; re as give;.  1:  fig, A3
    and discussed in  Sect ion VI  A..  To simulate the  effect  of the
    sun, we set the surface heat flux varint ion as
       (w'e')  =,0.25  sin  (0.00007275t) > •• 0.025°C-n./st-c    (53'
             o                           —•
    as suggested  DJ,
    Kansas,  Rewova
    cons tent ra;; : ->'
    and '->  -;r;
    reaul; ,.% o f    : ,
     C-f* r* ^- •>•"'' i ' i . i
       s • ' •' . f.  '
    The pro gnat..  - : ;
                         dot a o I'
                                       re
                      of
    
                              P.fc'ai  so;j.i
    At th-? mor". •" •
    (in fig. A 9 ,;  i
    the surface an
    This strongly
                                            '. rig
                                                     ea •• anro of
                                                     -.• t  u a , :u,  and
                                                     y n a IT: i C S O 1U -
                                               8  a.-A.  and 8 p.m.
                                                   . r- :?-: ress u*
                                                    :v.ii  pc;int,  while
                       a 'l,i fig.  AiOi i,ih.c;ws the  rtvarse  trend.
                      ,ests  i'.it r -in-ersion  lid  near  2,5 km.
    The "breaking  throigh"  of the early morning  boundary layer
    is particuLi": v  /ivlc1  t:^re  wh.-r-' '-y 11 a.m.  the  character
                                                   This effect is
    of the q:^
    carried
    loop predicted
                                      ;I:±,J8 ,iK WV
                                                  as  a  i'•./.c
                                                 f 1 c a n t  d 1 f f e r e n c e
    

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    scale  jquj'ion ('-•-+, .  — ^  atv <••--v!.-•
    repeated UK ing r.r,e  £a>i:t- -t ft' "','•--" i -
    with  two varia^ :o/;B,   K Sce-qs eu-cir
    during the  day Iw prouat-Iy x^-:r,o.- 1  d
    hours,   Thi...-3,  in  ch^-  t-ai  here q^x I (-.-,;.
    implemented  oetweer,  i,ue hoir.'-t-. wi  -  t'
    the dynamic  scale equation wbs  loeii;
    Figure 14 gives t'v~  surface  M res-/.  -,
    for the  three  days  of c^ Ic^Iatlo.n ,
    shows  a  close  sim ! lai-i ly exc^r/L  fV r
    11 a,m.  where  fig,  14 shows  i.nr-et  ,l;i
    tions.   This  efl'e,..t  apparently rn.:v  K rr'rMjir^d  Ar :.he
    dynamics of  the scale nation,   ;d  \
    inversion "i la  ib  t-  ;-.g clown  : .,  r : u
    fig.  15  for  trie kinetic- energy q1-'.
    reveals  thai,  trjt-  '^s  \ --.-^lor; }"n now
    intensity of  i nc  turcalen^t  --1"  t rr,,
    increased by  l-'O^.   'firie .rise  1;t q-- 1:
    dramatic; ita  rallof*  ;,;.r-:t •     !-:
    to the prco^'<;  ,.-f'  !a.'g'-. _•.;".,-,  -•
    
    The dvaarni--:  - •  ,-. •'..: = :,
    the ^-o.^-, ;•
    C.   TURBTFLFiNCM  1^1: • i'KllrVJT I'VJ " •,  ':';:;<- I;1' ,
    
         ABRUPT  C.lAlk.i, IK CUl'KACK J{01.: dl"!" ;"S
    
    The  boundary ,i.ay,-r  equaLi,-).ti& it!
    (eqs.  (27)  - (?4)}  may  i:e  ust d  U
    the-  near-wai'1  i'cur'd'xi^.  I.,.; " < o -••
    r o ugh n e s s z,... „    k  -. • i-,! c ^ ] ;: i o ^ • w
    a t mo s p he r i c ,; •; r f ,-.• c e d .!    ) t' K- i '."i d i
    shear, and  velocities a-.  -.1 .. ^'.le
    Transitions w>-re  made rV.^" :\, >.gv
    rough where th.e hycir'.;.i./Jia''1' •'. t,j.-!^
    of  the rough.iese.  ••'' ; >,:<::  ? :,'.; f ';.•;'-.-,
    consisted o! octad t'd ?•'.-. ;. 1 j-bbi
                                                                  „ r cj  . ^
                                                              \ -,rii oles
                                                                   s "• -> *-
    

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      3500.
                   q2=.OI m2/sec2
                                  TIME CHRS3
    Figure
    Contours of constant  qd  as a  function of altitude
    and time of day as  predicted  by the model using
    the dynamic scale equation  (compare with fig. A4)
    
    
                       44
    

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         3500..
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        2500..
        2000..
    1500 ..
        1000 ..
          500..
                                           12      15
    
                                     TIME CHRSD
                                                              21
           Figure 16:
                   Contours of constant length scale A as a function
                   of altitude and time of day as predicted by  the
                   model using the dynamic scale equation (compare
                   with fig. A8).
    

    -------
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    L \- J. i A^L w I, 'O ^1 11 --- ( .^ £TJ IJ  -1. v.> - V*. I i. 1 «^' 11.  &.   ~- \) * c. ) *s U- »
    O'il4  uaiC Vila C LOr;3  Ui-f£a.a  ft 1 Oil  /•.,„ 1 lAt:Q y.\*
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    of the boundar-y"'lay.;r  tc th . ,, abrupt chatige I.c surface rough-
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    Cornparisor1,  ^ith &  great;-  c.e'al  of  B-r-adl^y's  do.ta shovjs  gcod
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