ENVIRQNMENTAt
                                                      PROTECTION
                                                        AGENCY
EPA-600/3-76-020
  rjj 1976                                         Eco
                                                       IMARY
             NUMERICAL  MODELS  OF  LAKE CURRENTS
                                            Environmental Research Laboratory
                                           Office of Research and Development
                                          U.S. Environmental Protection Agency
                                                 Duiuth, Minnesota  55804

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                                                                c
                                     EPA-600/3-76-020
                                     April 1976
    NUMERICAL MODELS OF LAKE CURRENTS
                   by
              Wilbert Lick
     Case Western Reserve University
         Cleveland, Ohio  44106
           Grant No. R-802359
             Project Officer

          William L. Richardson
      Large Lakes Research Station
Environmental Research Laboratory—Duluth
       Grosse He, Michigan  48138
  U.S. ENVIRONMENTAL PROTECTION AGENCY
   OFFICE OF RESEARCH AND DEVELOPMENT
    ENVIRONMENTAL RESEARCH LABORATORY
        DULUTH, MINNESOTA  55804

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                               DISCLAIMER
This report has been reviewed by the Environmental Research Laboratory,
U.S. Environmental Protection Agency, and approved for publication.
Approval does not sighify that the contents necessarily reflect the views
and policies of the U.S. Environmental Protection Agency, nor does mention
of trade names or commercial products constitute endorsement or recommen-
dation for use.
                                    ii

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                                 ABSTRACT
As part of a research effort sponsored by the U.S. Environmental
Protection Agency to study the dispersion of contaminants in near-shore
areas of large lakes, we have developed numerical models which are
capable of realistically describing the currents throughout large lakes
and, in particular, in the near-shore regions of these lakes.  This
report summarizes our work to date on these hydrodynamic models.
In our work, the emphasis has been on the development and use of three-
dimensional models.  Three basic models and applications of these models
are presented here.  The models are:  (1) a steady-state, constant-density
model;  (2) a time-dependent, constant-density model; and (3) a tiae-
dependent, variable-density model.  Each model has its own limitations
and has certain advantages over the others.  Applications of each model,
especially to flows in near-shore regions, have been made and are dis-
cussed.  Vertically averaged models have also been used by us, usually
in parametric studies, and a brief summary of these models is also given.
A list of all publications by us resulting from or pertinent to this
project is given in Section X of this report.
This report was submitted in fulfillment of Project No. R 802359 by
Case Western Reserve university, Cleveland, Ohio under the sponsorship
of the Environmental Protection Agency.   Work was completed as of
September, 1975.
                                   111

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                                 CONTENTS
Sections                                                            Page
I     Conclusions                                                    •,
II    Recommendations                                                o
III   Introduction                                                   5
IV    General Considerations in Modeling of Currents                 q
      4.1 Characteristics of Lake Currents                           g
      4.2 Basic Equations, Boundary Conditions, and                 ^3
          Important Parameters
V     Vertically Averaged Models                                    22
VI    Steady-State Models                                           32
      6.1  The Wind-Driven Circulation in Lake Erie                 33
      6.2  Effects of Partial Ice Cover                             ^g
      6.3  A Near-Shore Model                                       50
      6.4  A Two-Layer, Stratified Lake                             60
VII   Time-Dependent, Constant-Density Models                       gg
      7.1  An Overall Lake Erie Circulation Model                   6g
      7.2  The Near-Shore                                           91
      7.3  Analytic Results                                         g/
VIII  Time-Dependent, Variable Density Models
      8.1  River Discharges and Thermal Plumes
      8.2  Lake Circulation Models                                 J22
IX    References                                                   TOO
X     Publications
                                                                   138

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                                FIGURES
No.
 3

 4a


 4b


 5

 6

 7

 8

 9

10

11
12
13
Lake Erie bottom topography

Cartesian coordinates located at the nominal lake
surface.

Wind shear stress relation.

Surface displacement as a function of time at
Cleveland.

Surface displacement as a function of time off-
shore of Cleveland half-way across the lake.

Vertically-averaged velocities, t = 87.5 sec.

Vertically-averaged velocities, t = 262.5 sec.

Vertically-averaged velocities, t = 937.5 sec.

Vertically-averaged velocities, t = 1575 sec.

0.805 kilometer  (0.5 mile) grid for Island region

Shoreline of Lake Erie on 3.22 km (2 mile) grid.

Horizontal velocities at a constant 0.4 meters
(1.5 ft) from surface.  Wind direction, W 50 S;
wind magnitude,  10.1 meters per second (22.7 mph);
friction depth,  27.4 meters (90.0 ft); rivers:
Detroit, Niagara.

Horizontal velocities at a constant 6.7 meters
(22.0 ft) from surface.  Wind direction, W 50 S;
wind magnitude,  10.1 meters per second (22.7 mph);
friction depth,  27.4 meters (90.0 ft); rivers;
Detroit, Niagara.

Horizontal velocities at a constant 9.9 meters
(32.8 ft) from surface.  Wind direction, W 50 S;
wind magnitude,  10.1 meters per second (22.7 mph);
friction depth,  27.4 meters (90.0 ft); rivers:
Detroit, Niagara.
12


15

19


25


26

28

28

29

29

38

39
                                                                  42
                                                                  43
                                                                  44
                                 vi

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No.                                                             Page

 14      Horizontal velocities at a constant 14.9 meters
         (49.2 ft) from surface.  Wind direction, W 50 S;
         wind magnitude, 10.1 meters per second  (22.7 mph);
         friction depth, 27.4 meters (90.0 ft); rivers:
         Detroit, Niagara.                                        45

 15      Vertical velocities at mid-depth.  Wind direction,
         W 50 S; wind magnitude, 10.1 meters per second
         (22.7 mph); friction depth, 27.4 meters (90.0 ft);
         rivers:  Detroit, Niagara.                               46

 16      Horizontal velocities at a constant 3-6 meters
         (12.0 ft) from surface.  Wind velocity:  5.2 meters
         per second (18 mph), N7.5W.  Frictional depth:
         18.2 meters (60.0 ft).  Rivers:  Detroit, Sandusky,
         Maumee, Niagara.                                         51

 17      Horizontal velocities at a constant 6.7 meters
         (22.0 ft) from surface.  Wind velocity:  5.2
         meters per second (18 mph), N7.5W.  Frictional
         Depth:  18.2 meters (60.0 ft).  Rivers:  Detroit,
         Sandusky, Maumee, Niagara.                               52

 18      Topography of jetport and grid structure in the
         shore region near Cleveland.                             54

 19      Horizontal velocities at the surface.                    55

 20      Horizontal velocities at a constant depth of
         30 ft. from  the surface                                  56

 21      Horizontal velocities at the surface.                    57

 22      Steady-state near-shore currents in the presence
         of a jetport island w±th extension to the shore
         with (T , T ) = (1.55 dyne/cm , 1.1 dyne/cm ).
         Horizontal velocities at the surface.                    58

 23      Horizontal velocities at a constant depth of
         30 ft.  from the surface.                                59
                                Vll

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No.
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
Thermocline depth contours with wind stress
curl of order one (6 * 3/24).
Thermocline profile at x - 48.3 tan with
wind stress curl cf order one.
Horizontal surface velocities (6 » 1/24).
Horizontal velocities at 20 meter depth.
Horizontal velocities ac 35 meter depth.
Horizontal grid pattern in part of Lake Erie.
Stress interpolation function of six data
points around the lake.
Surface displacement as a function of time at
Cleveland .
2
Surface displacement contours (i =•= 1 dyne/cm )
3C
Horizontal velocity component at Cleveland.
Horizontal velocity component in central part of
Eastern Basin.
Wind conditions during storm Agnes on June 22,
1972 at 2400 hours.
Wind conditions during storm Agnes on June 23,
1972 at 1200 hours.
Magnitude of wind stress as a function of time
during storm Agnes.
Calculated and measured water level fluctuations
at Cleveland during storm Agnes.
Calculated and measured water level fluctuations
for Port Stanley during storm Agnes.
Contours of surface elevation for Storm Agnes
at 0400 hours on June 23, 1972.
Grid pattern at boundary between Eastern and
Central Basins.
Page
64
65
65
66
66
72
76
78
79
80
81
83
84
86
87
88
90
93
viii

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No.                                                              Page

 42      Surface displacement as a function of time
         along a line across the lake at Cleveland.               95

 43      Surface displacement at x = 0 as a function
         of time for an infinitely long lake with L = «
         300 km, H = 10 meters, E  = 1.0,T = 1 dyne/cm .           98

 44      Surface displacement at x = 0 as a function of
         time for an infinitely long lake with E  = .025
         and T = 1 dyne/cm  for different values of g.            99

 45      Surface displacement at x = .05, y = .05 as a
         function of time for^a square basin with  E  =
         .025, T  =1 dyne/cm , T  = 0.            V             101
                x                y

 46      Bottom topography for the Point Beach power
         plant.                                                  106

 47      Surface velocities.  No wind,  no crossflow.             112

 48      Velocities at a depth of 2.1 meter.  No wind,
         no crossflow.                                           113

 49      Surface temperature distribution.  No wind,
         no cross-flow.                                           114

 50      Surface velocities.  With wind and cross-flow.          116

 51      Surface temperatures.   With wind and cross-flow.         117

 52      Surface temperature decay along centerline.  No
         wind, no cross-flow.                                     118

 53      Surface isotherm areas.   No wind, no cross-flow.         119

 54      Surface temperature decay along centerline.
         With wind and cross-flow.                                120

 55      Surface isotherm areas.   With wind and cross-flow.      121

 56      Horizontal velocities  at the surface.  Wind
         direction, East.   Wind magnitude, 5.2 m/sec.
         Friction depth, 18.2 m.                                  125

 57      Velocities in vertical plane along major axis
         and through the center of the  Central Basin.             126
                                 IX

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No.                                                             Page

 58      Temperatures in vertical plane along minor
         axis and through the center of the Central
         Basin.                                                  127

 59      Temperatures in vertical plane along major axis
         and through the center of the Central Basin.            128

 60      Temperatures in vertical plane along minor
         axis and through the center of the Central
         Basin.  Constant eddy coefficients.                     129

 61      Temperatures in vertical plane along major
         axis and through the center of the Central
         Basin.  Constant eddy coefficients.                     130

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                             ACKNOWLEDGMENTS
The writer wishes to acknowledge with appreciation the support of this
project by the Environmental Protection Agency.  Mr. William L. Richardson
served as Grant Project Officer.
Specific applications of these models have been partially funded by the
U.S. Army Corps of  Engineers (Lake Erie Jetport study) and the Argonne
National Laboratories (Point Beach power plant study).
The National Aeronautics and Space Administration through Dr. Richard
Gedney has given us considerable computer time, for which we are grateful.
T.H. Maruna of the Babcock and Wilcox Company, Alliance Research Center,
has also assisted us with computer time.
Many researchers have contributed to the work summarized in this report.
Their names appear as authors in the list of publications in  the appendix
and their assistance is acknowledged with sincere thanks.
                                    XI

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                               SECTION I
                              CONCLUSIONS

The present project is mainly concerned with the understanding of
fundamental aspects of the dispersion of contaminants in the near-shore
regions of large lakes.  As part of this effort, we have developed
numerical models which are capable of realistically describing the currents
throughout a lake and, in particular, in the near-shore regions of these
lakes.  The present report summarizes to date our work on the numerical
modeling of currents.
In our work, the emphasis has been on the investigation of three-
dimensional models, three of which were developed, applied to various
situations, and compared with observational data.  The first model
developed was a steady-state, constant-density model.  Applications of
this model have been made for (a) the overall circulation in Lake Erie,
(b) the circulation in Lake Erie when it is partially ice covered,
and (c) a near-shore region including the effects on the circulation of
a proposed jetport.  The model was also extended to describe a two-layer,
stratified lake.  Although limited because of the assumptions of steady
state and constant density, the model is realistic and can be solved
relatively quickly on the computer.  Solutions with high spatial
resolution  (a relatively fine numerical grid) were obtained.  Comparisons
with field observations were made and the agreement was good.
The second model developed was a time-dependent, constant-density
model.  This is a free-surface model and is therefore valid for describing
storm surges and similar motions.  The model has been applied (a) to
storm surges in Lake Erie, and (b) to a near-shore region including the
effects of a proposed jetport.  Limited comparison with field data shows
good agreement.
The third model developed was a time-dependent, variable-density, rigid-
lid model.  The main application of this model has been to river discharges
and thermal plumes.  Numerical results show good agreement with field
                                     1

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observations.  This model is presently being used to investigate both
the overall and near-shore circulation in a stratified lake.
Also developed were vertically averaged models, models which are relat-
ively simple but generally (except with additional work) do not give
details in the vertical of the flow.  In addition, the functional
form of the bottom stress in the vertically-averaged model is incorrect
and leads to errors for both small time and in variable-depth situations.
However, because of their relatively short computation times, these
models are useful for parametric studies.  The models have been applied
to lake circulation problems and to river discharges and thermal plumes.

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                              SECTION II
                            RECOMMENDATIONS

Although the models to be presented are sufficiently general (by them-
selves or with slight extensions) for almost all lake circulation
problems, a great deal of further numerical experimentation using these
models needs to be done.  The purposes of these computations should be
to:
     (1)  Understand the general characteristics of flows in lakes,
     especially in the near-shore under stratified conditions, e.g.,
     upwelling and mass flux through the: thernioe Line;
     (2)  Calculate details of specific flows and verify these by
     means of field observations, again especially in the near-shore.
     A combination of field observations, numerical experiments, and
     laboratory work needs to be done to determine more accurately the
     magnitude and functional dependence of the vertical and horizontal
     eddy diffusion coefficients, the wind stress-wind velocity relation,
     and the wind factor ratio;
     (3)  Understand the numerical accuracy and characteristics of the
     various models.  The models must be simplified in design as well as
     application.  Numerical experiments must, be performed comparing
     the various models and learning bow to simplify them,
Hydrodynamic models are becoming quite detailed.  Sufficient information
on their use is becoming  available so that confidence may be placed
in their predictions.   In particular, these models are sufficiently
accurate so that they can be used as bases foi  models of sediment
resuspension and transport, dredging problems,  phytopLutiktoa and  zoo-
plankton growth, community su
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work needs to be done on the effects of waves.  The direct effect of
waves In causing contaminant transport and sediment resuspension and
transport as well as the indirect effects in causing long-shore currents
need to be investigated, made quantitative, applied to specific
cases, and verified by means of field observations.

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                              SECTION III
                             INTRODUCTION

A contaminant  (either a chemical or biological substance or heat)
disperses through a lake by convection and turbulent diffusion.  As
the contaminant moves from its source to a sink, it may be degraded or
converted to other forms by chemical, biological, and physical processes.
An understanding of these dispersion and degradation processes is
essential in understanding aquatic ecosystems.
In particular, a knowledge of these processes in near-shore regions is
necessary since (a) the near-shore regions are where contaminants
are generally introduced and therefore their concentrations and effects
are different and generally greater than in off-shore areas, and
(b) the near-shore areas are of more particular interest to all of us
for such uses as recreation, water supplies, and fishing.  However,
at present, our knowledge of these dispersion and degradation processes
is insufficient to either understand or predict the concentrations
of contaminants in near-shore areas.
As part of a research effort sponsored by the U.S. Environmental
Protection Agency to study these processes in the near-shore areas of
large lakes, we have developed numerical models which are capable of
realistically describing the currents, both steady and time-dependent,
throughout large lakes and in particular in the near-shore regions of
these lakes.  The present report summarizes our work on these hydro-
dynamic models to date.
Since it is not feasible to discuss all the details on all of our
numerical models and investigations in one report, the emphasis here
is on a general description of the models, the assumptions involved
in their formulation,  and their uses.  More details of the models,
applications, results, and documented programs, are reported in the
articles cited.  A list of publications and reports by us on numerical

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modeling of currents is given in Section X.  Further work, in particular,
hydrodynamic applications of these models, numerical experiments to
more fully understand these models, and applications of these models to
the prediction of the dispersion of contaminants is continuing but is
not reported here.
A brief outline of the present report is as follows.  In the following
section, Section IV, a general description of lake currents is first
given followed by a presentation and general discussion of the three-
dimensional, time-dependent equations and boundary conditions basic
to all the models.
In Section V, vertically averaged models are discussed.  These models
result from an averaging of the three-dimensional equations over the
depth.  A bottom friction parameter, which is difficult to determine
a priori, must also be introduced and related to the mean flow.  The
result of these manipulations is a reduced  two-dimensional set of equa-
tions which is comparatively easy to analyze, requires relatively little
computer time, but does not give details of the flow in the vertical.
This vertical detail is necessary for the complete understanding of
the flow characteristics and for an accurate description of problems
such as the dispersion of a contaminant.  However, for some  problems,
this detail is not necessary and the two-dimensional model is adequate.
The two-dimensional model is also useful for preliminary qualitative
investigations of flows, especially parametric studies.  These flows
can then be later investigated more thoroughly by use of the three-
dimensional models.  In Section V, typical results of calculations are
shown for (a) the time-dependent flow in Lake Erie, and (b) the plume
from a power plant situated on the shore of a lake.
In Section VI, the simplest three-dimensional model is discussed,
a constant density, steady-state model.  Although limited by the assump-
tions of constant density and steady state, the model has b§-en shown
(by comparison with field observations) to give good results for periods
when the winds were relatively constant.  In this model, a major
assumption is that the vertical eddy diffusivity is constant.  This

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assumption along with other more minor ones (discussed in Section VI)
allows one to integrate the equations of motion in the vertical direc-
tion analytically (without introducing a new parameter such as the
bottom stress relation used in the two-dimensional, vertically
averaged models mentioned above and discussed in Section V).   This
procedure reduces the governing equation to two dimensions.  Further
manipulations lead to a comparatively simple set of equations which
can be solved relatively quickly on the computer but which still give
vertical details of the flow.  Applications of these models are
described and representative results of the calculations are shown for
(a) the overall circulation in Lake Erie, (b) the overall circulation in
Lake Erie with partial ice cover, (c) a near-shore analysis with
applications to the  proposed Lake Erie Jetport, and (d) an extension
of the single layer model to a two-layer stratified model (for simple
basins only).
In Section VII, a constant density, time-dependent, free-surface model
is described.  This involves similar assumptions to those used in the
constant density, steady-state model.  However, vertical analytic
integration is no longer possible and a complete, three-dimensional
numerical integration is necessary.  Because of the free surface
assumption, the model is valid for describing storm surges and similar
motions.  Applications are made to (a) a general Lake Erie model, and
(b) a near-shore model including studies of the proposed Lake Erie Jet-
port.  Some analytic work has also been done utilizing this model,
particularly in regard to the significant time scales in a general time-
dependent flow in a lake.  This work is also described in Section VII.
In Section VIII, our time-dependent, variable-density models are
discussed.  These models employ the rigid-lid approximation and therefore
filter out the free-surface gravity waves, thus allowing longer time
steps in the numerical integration.  The models are therefore obviously
not valid to describe storm surges, where free surface oscillations are
important, but are valid and have been used to describe flows with
slowly time-varying temperature and velocity fields.  Representative

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results are shown for (a) river discharges and thermal plumes, and  (b) the
overall circulation in a stratified lake.

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                              SECTION IV
            GENERAL CONSIDERATIONS IN MODELING OP CURRENTS

4.1  CHARACTERISTICS OF LAKE CURRENTS
The currents in the Great Lakes are primarily driven by the wind.
Currents due to through flows from incoming rivers to a single out-
flowing river are comparatively small  except locally near the mouths
of the rivers.  In addition to these two causes of currents which are
present more or less continuously, temperature, and hence density,
gradients cause currents and in addition modify existing currents.
These density gradients may have a relatively large influence on
currents and must be considered during the late spring, summer, and
early fall when stratification occurs and these gradients are large.
The Great Lakes are large enough (horizontal dimensions of 100 to 300 km)
so that Coriolis forces are important.
In shallow water, usually near shore, the effects of waves become
important.  The direct effect of waves on the water is to cause an
oscillatory motion of the water particles.  Because the motion is
oscillatory, it is generally unimportant in causing transport (except
in a narrow layer near the bottom in relatively shallow water) although
it may be significant in causing a bottom shear stress and hence
resuspension of bottom sediments.  The major effect of waves on trans-
port is indirectly through long-shore currents caused by the breaking
of waves and the resulting dissipation of energy and momentum.  Wave
effects are under investigation by us but are not discussed in this
report.
The currents due to the combined actions of winds, temperature gradients,
and through flows and as modified by the basin geometry are quite
complex and involve many different length and time scales. A  thorough
description of the dynamics of a lake will not be given here r • •• i
brief discussion of some of the more significant motions and the assoc-
iated length and time scales will be given because of the relevance
                                   9

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of these matters to numerical modeling.  An excellent and mqre thorough
discussion on the significant physical processes occurring in lakes
is given by Boyce (1974),
It is convenient to separate the currents into quasi-steady motions and
time-dependent motions although in practice this is difficult to do.
Steady-state currents will be discussed first.  When the winds act on
the surface of a deep, constant-density body of water, a circulation is
set up which in the steady state consists approximately of (a) top and
bottom boundary layers (Ekman layers) in which vertical turbulent mixing
is important, (b) horizontal boundary layers near shore in which horizontal
turbulent mixing is important, and (c) a geostrophic, inviscid core.  In
shallow lakes, or shallow, near-shore areas of deep lakes, this description
is no longer valid.  In these shallow regions, the Ekman layers are
merged and vertical turbulent diffusion is important throughout the water
column.
In the oceans, an Ekman layer is typically on the order of a hundred
meters thick and hence is small by comparison with the depth of the ocean.
In most of the Great Lakes, where the thickness of an Ekman layer d is on
the order of 20 to 40 m, the depth of the lake h is generally several times
as great as d.  In Lake Erie, the average depth of the lake is only about
20m and is about the same as the thickness of an Ekman layer. The thickness
of the boundary layers near shore in which horizontal mixing is important
is generally on the order of a few kilometers or less, and is therefore
quite small by comparison with the horizontal dimensions L of a lake.
Heating and the subsequent stratification introduce additional phenomena.
During the summer, a thermocline or region of large vertical temperature
gradients generally develops.  The depth of this thermocline is generally
20 to 100 m while its thickness may be as little as a few meters.  Again
because of its shallow depth, Lake Erie is atypical in that the thermo-
cline is quite often very near the bottom, sometimes only ,a few meters
from the bottom.

Time-dependence  introduces even more complexities.  Consider first the
constant density flow in a lake which is initially still but at time
                                    10

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zerp is acted on by a uniform a,nd constant wind stress,   The  time  t   to
                                                                   3
rea,ch a, new steady state, which of course is determined by  this wind
                                         2 2
stress, depends on the parameter (5 =* gh/L f  (Haq and Lick, 1975), where
     -4     -1
f = 10  sec    and is the Coriolis parameter.  For  the Grea,t  Lakes,
this parameter can be assumed to be large and as a  first  approximation
the result for t  is independent of 3  .  For a shallow lake where  h/d«l
                S             2
or 0(1), t  is then of order h /A , where A  is the vertical  eddy
          s                      v         v
viscosity.  That is, t  is a viscous diffusion time.  For a deep lake
                      s
where h/d»l, the time t  is of order  2rrh/df.  In this case,  t  is the
                        s                                     s
usual spin-up time for a rotating container with a  rigid  lid  (Greenspan,
1968).  For the Great Lakes, the time  to reach steady state varies
from one or two days (Lake Erie) to probably one or two two weeks  for
Lake Superior.  This is to be compared with the average period of
storm cycles in the Great Lakes region of two to seven days (Oort
and Taylor, 1969).  On a smaller time  scale are the periodic  surface
oscillations, or seiches of lakes.  For shallow wide lakes, these  have
a period of oscillation close to the inertial period 2ir/f, which is
about 17.5 hours.  For deep narrow lakes, they have a period  close to the
period of gravitational waves, i.e., L/v/gb7.
If the lake is stratifed, internal oscillations analogous to  the free
surface seiches may be present.  The period of these waves is close
 to the inertial period.  The time to  reach a steady state in stratified
conditions may be considerably longer  than that in  non-stratified  con-
ditions due to the effect of the stratification on  turbulent mixing.
These are just a few of the many different physical phenomena that occur
in lakes and the length and time scales that are associated with them.
No model is capable of describing all  of these phenomena.  Therefore
the modeler must decide which phenomena are important to  his problem
and then choose or develop his model accordingly.
Most of the applications of our models thus far have been to  flows in
Lake Erie.  The topography of this lake is shown in Fig.  1.   Some  of
its more important features are as follows.  Lake Erie is approximately
386 km long and 80 km wide near the mid-point of its long axis.
                                   11

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                                                      Cu
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                                                      W
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                                                      rt


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12

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Topographically, it can be separated into three basins:   (1)  a  shallow
Western basin with an average depth of  7 ra;  (2) a  large,  relatively
flat Central basin with an average depth of  18 m;  and  (3)  a deeper,
cone-shaped Eastern basin with an average depth of  24 m.   The Western
and Central basins are separated by a rocky  chain  of islands.   Of  the
water supply to Lake Erie, about 80% comes from Lake Huron via the
Detroit River, 10% comes from other tributaries, and 9% is precipitation
on the lake's surface.  Of the loss of  water from  Lake Erie,  89% is
out through the Niagara River and Welland Canal and 11% is evaporation.
4.2  BASIC EQUATIONS, BOUNDARY CONDITIONS, AND IMPORTANT PARAMETERS
Basic Equations and Boundary Conditions
The basic equations used in the modeling of lake currents are the
usual hydrodynamic equations for conservation of mass, momentum, and
energy plus an equation of state.  In sufficiently general form for
most lake modeling these equations are
                        3u
                        3x
     +  IX  +  iw  -  n
     ^  ^      "v   —  u
        dy     dz
                                                                    (1)
3u     3u      3uy
3t     3x      3y
                        3uw
                        3z
                        3x
                 _ 1  _3p_
p 3x
r
\
AH J^

+ IF
)"
H



h^-
h 3z


/ '
A 3u
'd
                                                                     (2)
3v   ,  3uv   .  3v    .  3vw
T~  +  -—  +	  +	  +  fu
3t     3x
               3y
3z
                            A
                              i
 3x \ TI 3x
                                                                    (3)
                               z
                                  =  -  Pg
                                                                     (4)
                                   13

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il   ,  3uT     jivT     3wT  =  3  K 3T     3_ KJ3T     9_ K 3T
9t     3x      3y      8z      3x  ^x~l    3yl **fyl    3z  "
+ S  (5)
                              P  =  P(T)                             (6)

were u,v, and w are the fluid velocities in the x,y, and z directions
respectively (see figure 2), t is the Coriolis parameter which is assumed
constant^ p is the pressure, p is the density, p  is the ambient or
reference density, A^ is the horizontal eddy viscosity while A  is the
                    n                                         v
vertical eddy viscosity, K  is the horizontal eddy conductivity while
K  is the vertical eddy conductivity, g is the acceleration due to
gravity, T is the temperature, and S is a heat source term.
Several approximations are implicit in these equations.  These are
(a) the pressure is assumed to vary hydrostatically, (b) the Boussinesq
approximation, which assumes that density variations are small and can
be neglected compared to other terms except in the hydrostatic equation,
is valid, and (c) eddy coefficients are used to account for turbulent
diffusion effects in both the momentum and energy equations.
The appropriate boundary conditions are dependent on the particular
problem to be solved.  At the free surface, z = £, usual conditions  are:
(a) the specification of a stress due to the wind,

                   pA  9u     T      pA  3v     T
                           =                 =
where T  , T  are the specified wind  stresses in the x and y directions
       x   y
respectively;  (b) a kinematic condition on the free surface,
                                      If -
                                   14

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                                              V Displaced
                                               \ lake surface
                                                  Lake bottom
                                            Nominal
                                            lake surf ace
         Figure  2.   Cartesian coordinates located  at  the nominal
              lake surface.
 (c) the pressure is continuous across  the water-air interface and there
 fore the fluid pressure at  the surface equals  atmospheric pressure p ,
                           p(x,y,C,t)  =  p  ;
                                         3.
and  (d) a specification of the heat  flux at  the  surface,
 (9)
                                       H(T  -  V
(10)
where q is the energy flux, H  is  the  surface  heat  transfer coefficient,
and T  is the air temperature.
     a
At the bottom, the conditions  are (a)  those of  no  fluid motion or a
specification of stress in terms  of either integrated mass flux or
bottom velocity, and  (b) either a specification of temperature or a
specification of heat flux.
                                   15

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Variations on thes,e boundary conditions and other bounda.ry
are discussed in the following sections as they are needed.
Eddy Coefficients
The numerical grid sizes for a problem are usually determined from
considerations of the physical detail desired and computer limitations.
Once the grid size is chosen, it is implicitly assumed that all
physical processes smaller than this can either be neglected or approx-
imately described by random processes, i.e., turbulent fluctuations.
It can be shown that random turbulent fluctuations manifest themselves
in an apparent increase in the viscous stresses of the basic flow.
These additional stresses are known as Reynolds stresses.  The total
stress is the sum of the Reynolds stress and the usual molecular
viscous stress, but since in turbulent flow the latter is comparatively
small, it may be neglected in many cases.  Analagous to the coef-
ficients of molecular viscosity, an eddy viscosity coefficient can be
introduced (as has been done in the equations above) so that the shear
stress is proportional to a velocity gradient.  Similarly an eddy conduct-
ivity coefficient can be introduced so that the heat flux is proportional
to a temperature gradient.  In turbulent flow, these coefficients are
not properties of the fluid as in laminar flow but depend on the flow
itself, i.e., on the processes generating the turbulence.  The
determination of these turbulent eddy coefficients in terms of mean
flow variables is a major problem in hydrodynamic modeling.
Although considerable work has been done on the theory of turbulence,
in practice one must resort to experiments and semi-empirical theories
for realistic values of the eddy coefficients.  Since the scale and
intensity of the vertical and horizontal components of turbulence are
generally quite different, it is convenient to consider these effects
separately as has been done in the equations presented above.  The
vertical eddy viscosity A  in general should vary throughout the lake.
Some of the more important generating processes of this vertical turbul-
ence and causes for its variation are (a) the direct action of the
wind stress on the lake surface, (b) the presence of vertical shear
                                    16

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in currents due to horizontal pressure gradients, (c) the presence
of internal waves, and (d) the effect of bottom irregularities and
friction on currents.
In addition, if the density of the water changes with depth, stability
effects will change the intensity of the turbulence.  The stability
effect is dependent on the Richardson number, defined by
                            Ri"" —^—                       (11)
                                     PF)
where u is the mean horizontal velocity.  Various empirical values
have been developed relating the variation of the eddy viscosity
coefficient with the Richardson number (see, e.g., Koh and Chang
(1973) or Sundarem and Rehm (1970) for summaries).  A typical relation
is that developed by Munk and Anderson (1948)
                                           -
                        A  = A   (1 + IQRi)  '                     (12)

Where A   is the value of A  in a non-stratified flow.  Typical values
       vo                  v                             2
for A   in the Great Lakes are on the order of 1 to 50 cm /sec.
     vo
Horizontal viscosity coefficients are generally much greater than the
vertical coefficients.   It is found from experiments that the values
of the horizontal viscosity coefficient increase with the scale & of
the turbulent eddies, i.e.,
                                                                   (13)
where a is a proportionality constant and e is the rate of energy
dissipation (Stommel 1949, also see Or lob 1959, Okubo 1971, Csanady
                                         4      5
1973). Observations indicate values of 10  to 10  for A^ for the overall
circulation in the Great Lakes (Hamblin, 1971) with smaller values
indicated in the near-shore regions.
                                   17

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In a non-stratified flow, it is believed that the eddy conductivity
is approximately equal to the eddy viscosity.  However, for a stratified
flow, the mechanisms of turbulent transfer of momentum and heat are
somewhat different and this leads to different dependences of these
coefficients on the Richardson number.  For example, a semi-empirical
relation (Munk and Anderson, 1948) similar to Eq. 12 suggests that
                                           -
                     K  = K   (1+3.33 Ri)  '                      (14)

where K   is the value of the vertical eddy conductivity in a non-
stratified flow.
Wind Stress
In the modeling of the wind-driven circulation in a lake, it is
necessary to know the horizontal shear stress imposed as a boundary
condition at the surface of the lake.   This stress is due to the
interaction of the turbulent air and water.  The relation of this
stress to the wind speed is very difficult to determine from theore-
tical considerations and its value is usually based on semi-empirical
formulas and on observations.  A common relation assumed between these
quantities is

                         T = p  C. W11"1 W                           (15)
                         —    a  d  a   —a
where C, is a drag coefficeint, p  is the density of the air, W
       da                             a
is the wind velocity at 10m above the water surface, n is an empirically
determined exponent not necessarily integer, and the bar under a
function denotes a vector.
Wilson (1960) has analyzed data from many different sources and has
given a best fit to the data (see figure 3).  For W  in units of cm/sec,
                    3                            2 a
p  in units of gm/cm , and T in units of dynes/cm , Wilson suggests
 SL
a value of n = 2 and C, = 0.00237 for strong winds and 0.00166 for
                      a
light winds.  Simons (1974), from a comparison of field data and results
of numerical models, suggests values of n = 2 and C, = 0.003.
                                   18

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co
o>
C
CO
CO
.n
CO

CD
O
TO
tr
13
CO
     6.0
    Airtemperature = 20° C
    Wind velocity at 6 meters above surface
     	Neumann & Pierson
       	Wilson
                              Strong windy
     5.0
4.0
3.0
2.0
     1.0
                          Light wind
       0
         2     4    6    8    10    12    14

        Wind velocity, Wa (meters/sec)


         Figure 3.  Wind shear stress relation
                       19

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An additional problem in determining the wind stress is that W
                                                              a
in the above formula is the wind velocity at the specified location
over the lake.  Unfortunately, wind velocities are generally measured on
shore and not at. the over-the-lake location desired.  Over-the-lake
winds tend to be higher than the land values by as much as a factor
of 1.5 (Gedney and Lick, 1972).  This phenomena is not well understood.
Some investigation of this problem has been done (Simons 1974, Donelin,
Elder, and Hamblin 1974) but more is needed before this effect can
be determined accurately.
Numerical Stability
In the numerical calculation of space and time dependent lake problems,
for efficiency one would like to use as large space and time steps
as are consistent with accuracy and physical detail desired.  However,
there are usually other restrictions on the allowable space and time
steps, restrictions dictated by the stability of the calculation
procedure.  These restrictions of course depend on the particular
numerical scheme used but, when present, can usually be related to the
physical space and time scales of the problem.
As an example, consider an explicit, forward-time, central-space scheme.
Simple theory indicates that limits on the time step At and space steps
Az in the vertical and Ax in the horizontal are approximately given
by the following:  (a)  At  <  Ax// gh.  This restriction indicates that
the numerical time step must be less than the time it takes a surface
gravity wave  (speed of  */gh) to travel the horizontal distance between
two grid points Ax.  (b)  At < Ax/u, i.e., the time step must be less
than the time it takes a fluid particle to be convected horizontally a
                            2
distance Ax.  (c)  At < (Az) /2A , or the time step must be less than
the time for diffusion between two grid points in the vertical.
               2
(d)  At <   (Ax) /2A, i.e., the same argument as above but for
horizontal diffusion.   (e)  At<2ir/f, or the time step must be less
than the inertial period.   (f)  At < Ax/u., where n. is the speed of
an internal wave, a similar argument to  (a) above but for internal
waves.  All of these restrictions may be eliminated by various numerical
                                   20

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procedures.  However, each numerical method has its own difficulties
and which procedure is most advantageous depends on the particular
problem being studied.
                                  21

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                               SECTION V
                      VERTICALLY-AVERAGED MODELS

Vertically-averaged models have proved to be quite useful, especially
in the prediction of lake levels during storms and of long-time contamin-
ant transport.  The model is relatively simple conceptually and requires
little computer time compared to three-dimensional models.  The model
does not predict the vertical variation of the flow field but can give
vertically averaged velocities and surface elevations fairly accurately
in many cases.  An important limitation of the model is that it does not
consider the effects of density variations.
The basic equations for this model are obtained by integrating the
equations of motion, Eqs. 1 to 5, from the bottom z = -h(x,y) to the
surface z = ?(x,y).  The linear terms can then be expressed in terms
of the integrated velocities, U and V, and the surface displacement £,
where U = / ,  udz = / ,udz and V = /  vdz = / , vdz.  However, nonlinear
            h        —h „           —h       —h
terms of the form j_;° (3u /3x)dz  are also obtained and can not be
expressed in terms of U and V or their derivatives without a further
assumption.  A (convenient assumption is that the velocity profiles
are similar, i.e., u(x,y,z) = UF(cr)/h and v(x,y,z) = VF(o)/h where o = z/h
and F(a) is a shape factor normalized such that /  F(a)da  = 1.
                                                  J.
The resulting equations can be written as  (Welander 1961, Paul 1975)

                        3C   .  3U  .  3V                              '
         3(U2/h)      5(UV/h)
3t  '   ~
                                 -  fv
                            I 2        2 \
         h 3p   -gh3?   ,  A/3 U   ,   3 Ul  ,  1  /       B\
            	a         +   Hi	  +        -r   IT   - T   1            fTi\
         - ir     3^       ITT      ~2Ip  ix   x «            (17)
                            \9x       9y /
                                   22

-------
_3V
3t
    +  p
                        2
3(uv/h)   +   a(v /h)
            3x
+  fU
        h 8p^
        p 3y      3y    '     '  °    '     ""    "  ' "    ""  '          ^18^

where T , T  are the surface shear  stresses due to the wind in the  x,y
       X   y  B     B
directions, T  ,  T   are the bottom shear stresses in the x,y directions,
and 3 = /   F (o)da.  A reasonable  guess must be made for the functional
relation F(a) in order to evaluate  3-  A constant or quadratic F(G) is
generally assumed.
The wind shear stresses are related to the wind over the  lake and are
specified parameters.  However, the bottom shear stresses are dependent
on the flow and in vertically-averaged models must be related somehow to
U and V.  It is usually assumed that T   = p a  U /h  and T   = p a V fa ,
                                      x                    7
where a is a coefficient of proportionality and n and m are constants,
usually integers.  If sufficient field data is available, these para-
meters can be determined from the best fit between the calculated
results and observational data.
Alternatively, theoretical arguments can be presented which relate  T to
U and V at least for limiting cases.  If one considers flow in a shallow
basin and assumes similar velocity  profiles as above, then one can
           •n          O      TJ            O
show that T  = p a U/h  and T   =   p a V/h , where a = A  dF/da.  If one
           x                 y                          v
considers flow in a deep lake with  an interior geostrophic flow of
magnitude U and assumes the presence of a bottom Ekman layer, then  one
               B             B
can show that T   ^ U/h and T  a. U/h.  In addition, if one postulates
that the eddy viscosity is proportional to the wind stress and hence
the integrated velocities, then it  follows that the bottom shear stress
is proportional to the square of the integrated velocities, a common
assumption.
The form of the above equations is  such that the most obvious method
of numerical integration is some sort of explicit method, of which  a
variety exist (Roache, 1972).  Numerous applications of the vertically-
averaged equations exist in which an explicit procedure has been used.
                                    23

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For example, the flow in Lake Ontario has been studied by Rao and Murthy
(1970), Simons (1971), and Paskausky (1971) while Lake Erie has been
studied by Haq, Lick, and Sheng (1975) and Simons (1976).
Results of a representative calculation by us are given in Fig. 4,
which shows the time-dependent surface displacement at two locations in
Lake Erie for a spatially uniform wind impulsively started from rest.
It is assumed that the wind blows along the long axis of the lake
                                                    2
imparting a stress to the water surface of 1 dyne/cm .  Fig. 4a shows
the surface displacement near  Cleveland while Fig.  4b shows the surface
displacement off-shore of Cleveland approximately half-way across the
                                                               2
lake.  The bottom stress is assumed to be given by T  = p a U/h  and
            2                                       x
r  -pa. V/h , where a = 50.
Also shown in these figures are the results from the three-dimensional
calculations (see Section VII).  Although qualitatively similar, the
results of the two calculations differ by as much as 35%.  This is due
to the fact that the vertically-averaged model does not reproduce the
bottom stress correctly, or at least the bottom stress is not the same
as that in the three-dimensional model.  The functional form of the
bottom stress in the vertically-averaged model is incorrect.  It is
incorrect for small time when the effects of the wind stress have not
reached the bottom but the vertically-averaged model predicts a bottom
stress.  It is incorrect even in the steady state since the bottom
stress is generally not proportional to the averaged velocity divided
by some power of the depth.  In particular, from the calculations it
can be shown that off-shore the vertically-averaged model indicates a
bottom stress much less than that predicted by the three-dimensional
model while near-shore the opposite is true.  From this it follows
that off-shore the slope of the surface elevation (which is proportional
to the sum of the surface wind stress and the bottom stress) and there-
fore the surface elevation itself as predicted by the vertically-
averaged model should be less than that predicted by the three-dimen-
sional model.  This is shown from the calculations in Fig. 4b and is
typical of off-shore positions.  Near shore (Fig. 4a), the surface
elevation is approximately the same for both models.
                                   24

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The differences in the results of the two models are probably more
obvious in Lake Erie since Lake Erie is relatively shallow and the
bottom stress is comparable in magnitude to the wind stress.  Limited
numerical experiments with other bottom friction laws  and parameters
showed similar results to those above.
An alternative numerical procedure is the use of the rigid-lid
assumption (Berdahl 1968, Bryan 1969), i.e., w(z = 0) = 0.  This
approximation is used to eliminate surface gravity waves and the small
time scales associated with them, greatly increasing the maximum time
step possible in the numerical computations.  In this approximation,
the high frequency surface variations associated with gravity waves
are neglected while the steady-state results are calculated correctly
and are the same as for the free-surface case.
Some interesting calculations using the vertically-averaged equations
and the rigid-lid assumption have been made of the thermal discharge
from the Point Beach power plant into Lake Michigan (discussed more
extensively in Section 8.1 on the basis of a three-dimensional model).
For simplicity, an idealized case of a discharge into a constant depth
basin is discussed here.  Relevant parameters are based on field
measurements taken at the outfall site (Policastro and Tokar, 1972)
                                      3
and are as follows:  flow rate, 24.7 m /sec; outfall width, 10.8 m;
outfall depth, 4.2 m; maximum discharge velocity, 0.9 m/sec.  No winds
or cross-currents are present.
The steady state or quasi-steady state is of major interest.  However,
the result is obtained by solving a time-dependent problem.  The steady-
state solution is obtained as the limit of the time-dependent problem
as time increases.  The flow is initiated by assuming an impulsive
start to the discharge and a steady discharge thereafter.  Figs. 5 to
8 show the integrated velocities at various times (t = 87.5 sees,
262.5 sees, 937.5 sees, and 1575.0 sees) as the flow develops to a steady
state.   The vortices formed initially and then swept out with the flow
are quite apparent.  Similar features are evident in the three-dimen-
sional case.
                                   27

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Figure 5.  Vertically-averaged velocities, t = 87.5 sec.
Figure 6.  Vertically-averaged velocities, t = 262.5 sec.
                          28

-------
Figure 7.  Vertically-averaged velocities, t =  937.5  sec.
Figure 8.  Vertically-averaged velocities, t = 1575 sec.
                           29

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Another promising numerical method is the alternating-direction-
implicit (ADI) method (Peaceman and Rachford  1955, Douglas 1955).
The method is usually stable for much larger numerical time steps
than is allowed by explicit methods.  Considerable savings in computer
time may be possible.
The vertically-averaged equations and the ADI method have been used to
solve for the time-dependent flow in Saginaw Bay (Allender, 1975).  In
addition to the use of the ADI method, this analysis is interesting
because of an important problem that it illustrates.  Saginaw Bay is a
large bay (30 km by 70 km) opening into Lake Huron.  The average depth
of the bay is only 9 m.  Surface wind stresses and forcing of the bay
waters by seiches in Lake Huron are the main driving mechanisms of the
currents in the bay.  In the Allender analysis, seiche activity in
Lake Huron was simulated by specifying a time-dependent surface elevation
along the open boundary between Saginaw Bay and Lake Huron.  It is
known (Reid and Bodine 1968, Wurtelle, Paegle, and Sielecki 1971)
that specifying the flow or surface elevation at an open boundary will
partially block the flow'at the  boundary and reflected waves will result.
Less restrictive conditions at an open boundary have been investigated
by Chen and Miyakoda (1974) and satisfactory results have been obtained
by using numerical smoothing techniques near the boundary.
An alternative approach to specifying conditions at the open boundary
is to allow full interaction between the solutions in the region
being investigated and the surrounding region.   Using a fine grid size in
the surrounding region usually requires considerable computer capacity
so that a coarser grid is usually used there.  However, it is known
(Matsuno 1966, Browning, Kreiss, and Oliger 1973) that wave motions in
two unequal  grids have different  phase speeds due to the truncation
error.  Because of this, numerical difficulties may develop in this
method also.
As indicated previously, a vertically-averaged model does not give
details of the vertical variation of the flow.  In particular, it
should be noted that the maximum horizontal velocity can be many times
                                    30

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as great as the averaged horizontal velocity.  Indeed, for a constant
depth  basin with a constant wind, the vertically-averaged steady-state
velocity is zero everywhere while in general the actual steady-state
velocity at any depth is non-zero and proportional to the wind velocity.
Because of this, contaminants  may be transported to much greater
distances and in different directions than is indicated by the mean flow
(Sheng and Lick, 1975).  To approximately include the effect of vertical
velocity gradients in the vertically-averaged models, one must use
an  effective eddy coefficient which is greater than the eddy coefficient
used in a three-dimensional model.  This procedure is valid when the
sub-grid scale convection can be approximately treated as random, as
implied by the use of an eddy coefficient (Csanady 1973, Galloway and
Vakil 1975).
                                   31

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                               SECTION V?
                           STEADY-STATE MODELS

Iti this section, models describing the steady-state, wind-driven circula-
tion in shallow lakes will be discussed.  The basic model (discussed in
Section 6.1) is an extension of an analysis due to Welander (1957).
In the present analysis, the assumptions are made that (1) the flow is
steady, (2) the density is constant, (3) the nonlinear convection terms can
beneglected, (4) the horizontal diffusion terms can be neglected, (5) the
vertical eddy dif fusivity is constant, and (6) the pressure is hydrostatic.
In these models, currents due to through flows have been included.
Time-dependent effects can be very important and are treated in the
following sections.  However, there are periods when currents in lakes
are essentially steady, or can be treated in a quasi-steady manner, and
this makes a steady-state analysis applicable.  The Great Lakes are
stratified during the summer months but, during the rest of the year,
the density is fairly constant throughout the lake, making the constant
density assumption valid.  For the overall lake circulation, it can be
shown  (Janowitz 1970, 1972, Gedney and Lick 1972, Sheng and Lick 1975)
that approximations (3) and (4) are valid except in narrow regions or
boundary layers near shore, regions smaller than the usual grid size used
in calculations of lake circulation.  Very little is known quantitatively
of the spatial variation of eddy viscosity and therefore the assumption
of constant eddy viscosity is a necessary evil.
In Section 6.2, the effects of partial ice cover are discussed using
the same basic model as in 6.1 except that the inclusion of ice cover
requires that the boundary condition at the ice-water interface be
that of no slip.  In Section 6.3, a discussion is given of how the
model  is extended to more accurately take into account near-shore
topography and geometry.  For maximum accuracy, the near-shore model
must be coupled to the overall lake circulation model and this coupling
process is also described.  In Section 6.4, a further extension of the

                                   32

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basic model to a two-layer stratified model is described.  This gives an
idealized description of the flow in a stratified lake.  Only flows
in simple basins have been calculated using this model.

6.1  THE WIND-DRIVEN CIRCULATION IN LAKE ERIE
By means of a model utilizing the assumptions discussed above, the
wind-driven circulation in Lake Erie has been investigated.  Details
of the investigation can be found in several reports by Gedney and Lick
(1970, 1971, 1972) and the computer program has been documented and
is available.  A brief summary of this work is presented here.
In discussing the equations, it is convenient to introduce the following
dimensionless variables:
                                         z* = _z
                                             eL
X*
u*
p*
= x , y* = y , z
L L
= U V* = V W
u ' u '
r r
= p e = h
8hr \
L u f ' f h
r
                                              EU
                                                  T L
                                              r -  r
                                            ' V" pgh
                                          r          r
where L is a characteristic horizontal dimension of the lake, u  is
a characteristic horizontal velocity, £ is the displacement of the water
surface from nominal, T  is a characteristic wind stress, t,  is a
characteristic surface displacement, h  is a characteristic depth, Eu
is the Euler number, and E is the Ekman number.  It is also convenient
to define the quantities
                                   33

-------
                   T=T   +  i T     ,   q  =  u* + i v*
                        x        y    *   n
                   d - ir
  2 A
                                1/2
                                      ,  \ = 2 TI h
                   T* =  -
                         T
                          r



where i = / -1 , T is the wind shear stress with components  T  and T  ,
                                                              x      y

q is the velocity, and d is the friction depth.



In the rest of this section, the above non-dimensional variables will


be used.  However, for simplicity of notation, the asterisks will be


dropped.  The resulting system of equations and boundary conditions is
1H  +  iZ

9x  +  3y
                        _v = _
                        +u
                                      9w

                                      9z
                                         32v
                                               (19)






                                               (20)





                                               (21)
                               3z
                                   =  -1
                                            (22)
n       2  ia.
0:  T = -2 T^
        A^ 9z
                                                   w = 0
                                            (23)
                          z = -h:  q = 0,  w = 0                    (24)



Governing Equation for the Stream Function



Eq.  (22) for the vertical pressure gradient can be integrated to give
                                                                    (25)
       9n
                                         .
                                        3n
                                  34

-------
where 3/3n =  3/3x + i  3/3y, and a =  p  /h  .   The  horizontal derivatives
of the atmospheric pressure are 0(10  )  smaller than a 3z;/3n and therefore
have been neglected.
The pressure can be eliminated from Eq.  (20)  and  Eq.  (21)  by the use of
Eq. (25).  Eqs. (20) and  (21) can then  be  solved  to  give the horizontal
velocities as functions of the local  slope and wind  stress.  The result-
ing solution is

              .3; | cosh X*z     I        tX   sinh [X'_(h +z)J       ,„,.
          q   13n ^cosh X'h     /     (1 +  i)      cosh X'h          U '
where A' - (1 + i)A/2.  The w velocity  can be  readily determined from
Eq. (19) using Eq,  (26).
The above equation  and  the continuity equation can  be integrated
vertically to give
                        U + iV = ai +
                           JHJ     3V  =                             (28)
                           3x     3y
                                                     0
where a and b are functions of the local depth, U =  /,  udz and
     0
V = /" vdz.
    *-n
A volume transport stream function can be defined so as to satisfy
Eq. (28) identically, i.e., U = 3\J)/9y and V = -3\Jj/9x.   By substituting
these relations into the set of equations given by the real and
imaginary parts of Eq.  (27), and by eliminating 3£/3x  and  3£/9y,  one
obtains a single equation for the stream function, which is
                                  +Y      =Y
                              3x  + Y2 3y    Y3                     (29)
                                   35

-------
where y > Y > an^ y   are functions of the local depth and bottom slopes,
       1-   £.       3
and y  is also a function of the applied wind stress.  The expressions for
     3
Y » Y » and Y   are fairly lengthy and are omitted here.  See Gedney
 12       3
and Lick (1971) for these expressions and all details associated with
the formulation of the problem.
Method of Solution
The region of Lake Erie for which the above stream function equation
must be solved is multiply connected because of the islands in the
western basin.  The value of the stream function on the main land shore
can be specified within a single arbitrary constant as determined by the
river inflows and outflows.  The value of the stream function for the
island boundaries is not known a priori.  This value is determined by
requiring  the surface elevation to be continuous around each island,
i.e. ,

                             i |f ds = 0                           (30)

where the integration path is around an island.
In the present calculations for Lake Erie, three islands were incorp-
orated.  The value for the stream function on each island boundary was
uniquely determined by summing four solutions, i.e.,
The boundary and wind conditions for these four solutions are shown
in Table 1.  In Table 1, ^  (s) is the value of the stream function on
the external shore boundary and is specified by the river inflows and
outflows.  The d , d«, d« constants were then determined so that the
above line integral around each island was satisfied.  In the present
problem, three equations are given for these three unknowns. The summed
solution determines the proper stream-function value on each island
boundary .
                                    36

-------
            Table 1.  STREAM FUNCTION BOUNDARY CONDITIONS

4< External
Solution Shore
ill ill (s)
r
4>] 0
i$>2 0
ijj3 0
Island 1
1
1
0
0
Island 2
1
0
1
0
Wind
Island 3 Condition
1 T , T
x y
0 0
0 0
1 0
Eq.  (29) was solved by finite difference methods.  At all grid points,
a five point central difference equation was used.  Lake Erie was divided
into two regions.  One was an island region as shown in Fig. 9 in which a
0.805 km (0.5 mile) square grid was used.  The boundaries in this region
were approximated by taking the closest 0.805 km grid point as the
boundary.  The second region was composed of the remainder of Lake
Erie and in this region a 3.22 km (2 mile) square grid was used except
for the points adjacent to the boundary.  For these points, nonsymmetrical
difference equations were written that used the actual distance from
the grid point to the boundary.  Fig. 10 shows the shoreline of Lake
Erie using the 2 mile grid as well as the island region in relation to
the entire lake.  The island region contained some 2800 grid points and
the rest of the lake contained some 2250 grid points.  The Lake Erie
bottom depth at the regular grid points was determined by curve-fitting
irregularly spaced data taken from the U.S. Lake Survey charts.
A combination of successive over-relaxation by points and lines was
used to solve the system of finite-difference equations.  A complete
iteration was performed in one region.  Then from these new values,
interim interface values between the two regions were formed for the
second region.   A complete iteration was then performed in the second
region.  For these new values in the second region, interface values
were in turn formed for the first region.  The process was repeated
                                   37

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until the maximum relative error between successive iterations at any
                           ~5
grid point was less than 10  .  The grid points, where the interface
values between the two regions were formed, are shown in Fig. 9.
The discretization error (difference between the exact and numerical
solutions) was checked by making comparisons with an analytical solution
for the deep-water equation in a rectangular basin.   For a square
mesh with nondimensional spacing of  A  = 1/50, the numerical and
analytical solutions agreed to within less than 1%.  By changing grid
sizes for simple geometry shallow basins, the discretization error was
found to be proportional to A2.  Grid sizes of 3.22, 1.6., and 0.805
km (A = 1/40, 1/80, 1/160, respectively) were tried in the island region.
It was found that the 0.805 km grid size was necessary to obtain con-
sistent and accurate line integrals (Eq. 30) around each island.
The 0.805-km grid size is also necessary to accurately represent the
island boundaries.  Based on these results it is felt that the grid
sizes used are not inducing any significant numerical errors.
Results of the Numerical Calculations
Numerical solutions for the stream function and velocities in Lake Erie
were obtained for a variety of wind directions and magnitudes.
Shown and discussed here are the results for a wind of 10.1 m/sec.  This
speed was measured at 10 meters above the water.  The shear stress used
in the calculations was determined from

                           T = 0.00237p W 2
                                       a a

where p  is the density of the air and W  is the wind speed  (see Section
       a                                a
4.2).
In the calculations, the wind was assumed to be uniform over the
entire lake surface.  This condition does not occur all the time on
Lake Erie but it was found to be a good approximation for the periods
for which the calculations and measurements were compared.  A friction
depth d of 27.4 meters was used because it provided the best agreement
between the numerical results and current-meter measurements.  This
                                   40

-------
                                                      2
value corresponds to an eddy diffusivity A  of 38,0 cm /sec.
All the results shown herein include a Detroit River inflow of 5380
 3
m /sec and an equal outflow via the Niagara River.  Other calculations
have shown that the remaining rivers only modify the flow locally near
the mouth of the rivers for moderate winds such as used here.
Lake velocity plots for the W 50°S wind are shown in Figs.  11  to  15.
In these figures, the beginning of the arrow represents the actual
location of the current represented by the arrow.  The magnitude of
the velocity can be determined from the velocity scale  indicated on
the figure.  Note that the velocity scale is different from plot to
plot.  In Fig. 15, arrows  pointing  toward  the  top of the plot  repre^
 sent  the vertical velocities  toward  the  lake surface.
The solution given by Eq.  (26) represents the sum of the Ekman drift
currents and gradient current.  Figs. 11 and 12 show that a top-surface
mass flux is being transported toward the eastern and southern
boundaries.  A subsurface current driven by the surface gradients
returns the surface mass flux in the opposite direction as shown in
Figs. 13 and 14.  in the central and eastern basins, surface currents
at 0.4 meters are, in general, smaller in the center of the lake than
near the shore.  This effect is essentially due to the relatively large
subsurface return current down the center of the lake,  which is opposite
in direction to the surface current and subtracts from it.  Fig. 15
shows the vertical velocities at mid-depth.  Strong vertical currents
near shore are evident.
Comparison of the Numerical Results with Current Measurements in
Lake Erie
The U.S. Federal Water Pollution Control Administration (now part
of the Environmental Protection Agency (EPA)) established a system
of automatic current-metering stations in Lake Erie in May, 1964.  The
EPA data consisted of velocity readings taken every 20 min.  The data
was never published but fortunately the EPA lent it to the authors.
To compare the water-current measurements with our calculations, the
20-min readings were vectorially summed over a 24-hour  period to form

                                  41

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a resultant current.  The resultant magnitude is equal to the vector
sum magnitude divided by the number of readings.  The time periods
used for comparison purposes were those for which the wind was fairly
steady for 2 or more days so that any seiche currents were small.
The vector summing of the data over a 24-hour period should remove
part, if not all, of any small seiche current since the largest seiche
period is 14 hours.
The procedure incorporated for determining what wind to use in the
numerical calculations for a particular day was to take the average of
both the direction and magnitude of the 24-hour resultant wind at each
of the U.S. Weather Bureau shore stations, This average wind with its
magnitude increased by 1.48 was then used to determine the shear stress
at the water surface.  The 1.48 factor was determined by comparing shore
data with 'over-the-lake' wind data taken by the EPA.  On May 24, 1964,
the resultant 'over-the-lake' wind was determined to be 10.1 m/sec
with direction W 50°S.  The resultant winds for the prior two days had
been within 20° of this direction and at somewhat less magnitude.
However, on May 21, 1964, the resultant winds were approximately E 50°S
at roughly 1 m/sec, which is significantly different from the wind on
May 24.
The current-meter data for May 24, 1964, as measured at 10 and 15
meters below the surface, is shown in Figs. 13 and 14.  Note that the
positions of the measurements are different from those of the calculated
current vectors.  The agreement is markedly good in both magnitude and
direction.  The discrepancy between the magnitude of the measurements
and calculations at point A in Fig. 13 is believed tobe  a measure-
ment error since this meter became erratic at a later date.  The
magnitude of the measurements in the region of point B at first appears
to be considerably different from the calculated values.  However, the
agreement between measurements and calculations is believed to be
satisfactory when one considers that the currents are changing rapidly
with distance in the point B area.  Also, in Figures 13 and 14, the meter
measurements are plotted for a W 43°S wind at a velocity of 8.6 m/sec.
                                    47

-------
These measurements were taken on October 25, 1964.  The agreement is
again quite good.
                                                2
The average value of the eddy diffusivity (38 cm /sec) used in the
calculation of a 10.1-m/sec wind is of the same order of magnitude as
that found by Nobel et al. (1968) in Lake Michigan.  In addition, the
value of the surface velocities in the western basin was found to
agree in magnitude with those of Olsen (1950).   Unfortunately, additional
quantitative current data are not available to further check the
numerical results.
The present model has also been applied to Lake Ontario (Bonham-Carter,
Thomas, and Lockner 1973, Bonham-Carter and Thomas 1973).  Lake
Ontario (maximum depth of 220 m) is much deeper than Lake Erie (maximum
depth of 70 m) and its depth is generally much greater than the thickness
of an Ekman layer.   However, there are extensive near-shore regions,
such as the Rochester Embayment, which are shallow and therefore shallow-
lake theory is essential.
In addition, in order to predict the hydrodynamics and especially the
dispersion of contaminants in the near-shore with adequate accuracy,
a much smaller grid is needed in the near-shore than that usually used
in overall lake circulation models.  Because of this, calculations
were made using a large grid (2.5 km) for most of the lake and a finer
grid (0.625 km) for the Rochester Embayment where more detail was needed.
Coupling between the two regions was allowed as in the Lake Erie calcu-
lation above.
General comparison of the calculated results with field observations
(Casey, 1965) was  made for both Lake Ontario and the Rochester
Embayment.  General agreement was obtained.  The calculated results
were also compared with the results from a discrete four-layer model
(Simons, 1972).  There was excellent agreement between the two.

6.2  EFFECTS OF PARTIAL ICE COVER
The Great Lakes are all or partially ice-covered during the winter.
However, relatively little work on currents in a partially ice-covered

-------
lake has been done,  A brief summary of our work  (Sheng and Lick,
1973 )     on the steady-state, wind-driven currents in a partially
ice-covered lake follows.
Lake Erie, with average depths of 7.3, 18.3, and  24.4 m for its Western,
Central, and Eastern Basins, respectively, is the shallowest of the
five Great Lakes.  Because of this, it cools comparatively rapidly
and ice forms at a relatively early date.  Extensive ice cover is
first formed in the Western Basin in December and gradually extends to
the Central and Eastern Basins.  In the thawing period, about March
or April, the ice generally drifts eastward and the western part of
the lake is free of ice.  Different forms of ice may exist on the lake
surface, but their thickness is always small compared to the mean depth
of the lake.
In our calculations, the basic model used was the same as in the previous
section.  In the region where the lake was ice covered, the upper boundary
condition at z=0 was modified so as not to allow horizontal motions,
i.e., u = 0, v = 0.  The ice cover was assumed to have negligible
thickness and rigidity.  Across the interface of the ice-free and
ice-covered portions of the lake, it was assumed that the surface
displacement and the integrated stream function are continuous.
The method of solution is similar to that described in the previous
section.  Results were obtained for a rectangular, constant-depth
basin, and for Lake Erie with (a) an ice-covered Western Basin, to
approximate the freeze-up period, and (b) an ice-covered Eastern Basin,
to approximate the thawing period.  The values of wind velocities,
wind stresses, and vertical turbulent eddy viscosities used in this
analysis are the same as those used in the ice-free analysis so that
the results could be compared easily.  The magnitude of the vertical
eddy viscosity is assumed to be the same in the ice-covered and ice-free
portions of the lake.
                                   49

-------
Representative results for the case of Lake Erie with an ice-covered
Western Basin are shown in Figs.  16 and 17.  These results are for a
N7.5 W wind with a velocity of 5.2 m/sec.
Flows at all depths in the region to the north of the Western Basin
islands are primarily due to the Detroit River inflow only and therefore
small in magnitude.  However, horizontal   velocities in other parts of
the ice-covered portion of the lake are comparable in magnitude to
currents in the ice-free portion.  This is due to the pressure gradient
caused by the wind stress and the subsequent tilting of the surface.
By comparing the present results with the ice-free case, it is found
that in the vicinity of the interface the current magnitudes for the
present case have generally increased.  However, the large currents
found in the southern part of the Western Basin in the ice-free case
are not present here.  At horizontal distances larger than about
45 km from the interface between the ice-covered and ice-free regions,
the currents are approximately the same as in the ice-free calculation.

6.3  A NEAR-SHORE MODEL
In order to predict with adequate accuracy the dispersion of contamin-
ants in the near-shore regions of lakes, a much smaller grid  is needed
than those used in overall lake circulation models.  These small-grid,
near-shore models must then be coupled with the large-grid, overall lake
circulation models for a complete solution.  These near-shore models and
the coupling process have been investigated by us and a brief summary
of a steady-state, near-shore model (Sheng and Lick 1975) is given here.
Other near-shore models are discussed in Sections 7.2 and 8.1.
For the present steady-state model, the basic equations, assumptions,
and solution procedure are the same as those described in Section
6.1.  In most of the following work, grid sizes varying from 1/4 mile
to 2 miles have been used.  The model has been applied to an analysis
of the currents in the off-shore Cleveland area in the absence of, and
including, a proposed Lake Erie Jetport,  Advocates of this airport
have proposed that it be situated on a large man-made island in the lake.
                                   50

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This off-shore area on which a 1/4 mile grid is superposed is shown in
Fig. 18.
The steady-state currents have been calculated for various Jetport
configurations and for different conditions with wind speed and direction
as variables.  Representative results of our calculations are shown
in  Figs. 19 to 23.  These results are all for a south-west wind with a
velocity of 5.2 m/sec.  In the calculations, a 1/4 mile grid was used.
The Jetport is located in waters with depths averaging about 15m and
gradually decreasing towards shore.
Fig. 19 shows the horizontal surface velocities under the conditions
described above and in the absence of the Jetport.  For this same
case, fig. 20 shows the horizontal velocities at a depth of 30 ft.  The
return flow is evident.  Near-shore currents parallel to the shore are
apparent in both figures.
Fig. 21 shows the horizontal surface velocities under the same conditions
for an island Jetport with dimensions of 2 miles by 3 miles.  The
interesting result here, and it can be seen at all depths, is that the
island configuration does not modify the flow field appreciably.  The
reason for this can be understood as follows.  From the hydrodynamic
calculations, it can be shown that in the absence of the Jetport,
although there are strong currents near the surface at any horizontal
location, there are generally also strong opposing currents near the
bottom with the result that the vertically integrated mass flux in
most locations near the island and off shore is approximately zero.
This is not true near shore, where the vertically integrated mass flux
is moderately large and directed towards the East.  Because of this,
the island does not appreciably block the flow.  However, a Jetport
which extends to shore would block the flow and extensively modify the
near-shore flow field.
This blockage can be seen in Figs. 22 and 23 which show the flow field
for a more advanced concept of the Jetport, i.e., an island with extension
to shore.  Major changes in the flow field are evident due to the block-
ing of the currents near shore by the Jetport extension.
                                    53

-------

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Figure 19.  Horizontal velocities at the surface.
                           55

-------
                  XXX X X X X x- ^
Figure 20.  Horizontal velocities at a constant depth of 30 ft.
            from the surface.
                             56

-------
Figure 21.  Horizontal velocities at the surface.
                          57

-------
   WIND
                            0   I FT/SEC.   0
MILE
Figure 22.   Steady-state near-shore currents in the presence
            of a jetport island with extension to  the shore
            with (T ,  T ) = (1.55 dyne/cm^,  1.1 dyne/cm^).
            Horizontal velocities at the surface.
                            58

-------
      WIND
                                      I ft/SEC   0
I  MILE
Figure 23.   Horizontal velocities  at  a  constant depth of
            30 ft.  from the surface.
                             59

-------
In general, the coupling between the near-shore region and the overall
lake is treated by an Iteration process as described briefly in Section
6.1.  A simpler procedure, although approximate, is to (a) calculate
the overall circulation in the lake, and then  (b) calculate the flow
quantities in the near-shore region assuming that conditions at the
boundary of the near-shore region remain fixed.  No further iteration is
required if the near-shore region is taken to be sufficiently large
so that the effect of the Jetport is not felt appreciably outside of the
near-shore  region.  In our calculations, the near-shore region was
usually taken to be 12 miles by 12 miles. This region was sufficiently
large so that the island configuration could be modeled without
iteration.  That this was true was shown by comparison of solutions with
and without iteration.  However, for the case of the island with extension
to shore, iteration was necessary.

6.4  A TWO-LAYER, STRATIFIED LAKE
Observations of stratified lakes suggest that during periods of steady
winds, the system may be approximately modeled by considering the lake
to be made up of two homogeneous layers each with a different density
and different eddy diffusivity with the interface between the two layers
being of negligible thickness. This model has been investigated by us
(Gedney, Lick and Molls, 1972, 1973 a,b) and a summary of these results
is presented here.  A model assuming continuous property variations is
discussed in Section 8.2.
The basic assumptions for the flow within each layer of fluid are
identical to those used in the models described previously in this sec-
tion, i.e., the water density is constant, the vertical eddy diffusivity
is independent of position, the pressure is hydrostatic, and the lateral
friction and nonlinear acceleration terms can be neglected.  The condi-
tions connecting the two layers are (1) the horizontal shear stress
is continuous across the interface, and  (2) there is no flow normal to
the thermocline.
                                    60

-------
With these assumptions, the basic equations and boundary conditions
have been solved numerically  (Gedney, Lick, and Molls 1972) and by an
asymptotic procedure  (Gedney, Lick and Molls 1973 a,b), asymptotic
in the sense that the solution is valid as the ratio of hypolimnion to
epilimnion eddy diffusivity becomes small. The assumption that this
ratio is small is generally valid in moderately to strongly stratified
lakes.
From the asymptotic analysis, it is shown that to the lowest approxi-
mation and for a constant wind stress the horizontal pressure gradient
in the hypolimnion is zero.  This does not mean that the velocities in
the entire hypolimnion are zero.  There is a transfer of shear stress
across the thermocline which imparts motion to the hypolimnion water
in a thin layer adjacent to the thermocline.  Below this boundary layer,
the zeroth order velocities in the hypolimnion are zero.  When a
spatially varying wind stress is present, the horizontal pressure
gradient in the hypolimnion is not zero.  In this case, velocities are
significant throughout the hypolimnion.  In previous analyses (Welander
1968, Hamblin 1969), researchers uncoupled the solution in the hypolimnion
from that in the epilimnion by assuming that the motion in the hypo-
limnion can be neglected (quasi-compensation assumption) at least to
lowest order.  From our results, this assumption does not appear to be
valid especially when a spatially variable wind stress is present or
for a shallow lake.
Representative results of the asymptotic calculations are shown in
Figs. 24 to 28.  In general, the governing equations were solved for
the position of the thermocline E,,  the position of the lake surface
£, and the hypolimnion and epilimnion horizontal velocities u and v.
All results are presented for a square basin with the following para-
meter values:
     Basin length, L  (km)	96.6
     Epilimnion temperature (°C)	, .   22
     Hypolimnion temperature (°C) 	  , .    4
     Density difference, Ap/p 	  0.002203
                                   61

-------
     Density ratio 	 0.9977969
                                     2
     Epilimnion eddy viscosity, A (cm /sec)	        17
     Nominal wind velocity, U  (m/sec)	         5
                             Q.
The A  value corresponds to that generated by a wind velocity of 5 m/sec.
Small variations in wind velocity about the nominal value are allowed.
The wind shear stress is determined by:

                          T  = -0.00237 p U2
                           x             a a
                                T  = 0
                                 y

where p  is the density of the air and the wind drag coefficient is that
       £1
proposed by Wilson (1960).
The wind drag coefficient and the A  values used here are the same as the
                                   e.
ones used by Gedney and Lick (1972) for current calculations in Lake
Erie during the uniform water temperature period (winter).  The epilimnion
in the two-layer model is considered to be of uniform temperature and for
the cases calculated here will have an average thickness of approximately
20 m.  Since 20 m is also near the average depth of Lake Erie, the A
value should be very similar to that used in the Lake Erie calculations.
In obtaining all the thermocline solutions, the boundary conditions
were adjusted to give the desired mean thermocline depth.
Case 1;  Wind Stress Gradient of Order 1 With Variable Depth
The governing equations were solved for a variable wind stress of the
form:
                                                       i
               T  = -0.914 - 2.0(x - x2)(y - y2)  0
-------
acting on the surface of a variable depth basin of the  form:
                 ||= 2.0(1 - 2x)(y - y2)
                    - 2.0(1 - 2y)(x - x2)
                                              0 <_ X
                                              0 £ y
The wind stress creates a maximum wind stress curl  (9r  /3y) of -0.5
                                                      X
at x = 0.5 and y = 0.0 and 1.0.
The thermocline depth, £, contours for these conditions are shown  in
                                      1 /?
Fig. 24 for 6 = 1/24 where 6 =  (A,/A ) '  and A^ is the vertical eddy
diffusivity in the hypolimnion.  The £ solution contains boundary  layers
along y = 0, y • 1.0 and x = 0 boundaries.  These boundary layer regions
are more clearly shown in Fig. 25 which is a plot of the thermocline
depth along the x = 48.3 km (x = 0.5 in non-dimensional form) station.
Figure 25 shows the thermocline to have a large shape variation in the
cross wind direction.
The horizontal velocities at the surface and at 20 and  35 meter depths
are shown in Figs.  26, 27, and 28.  The figures show the effect of the
shape of the thermocline on the velocities.  The thermocline shape
produces the clockwise gyre shown in  Fig. 27.  Below the thermocline
at a depth of 35 m, geostrophic velocities of order 1.0-5.0 cm/sec
occur.  The high geostrophic velocities near the boundaries are created
by the  r\ boundary layers, where  n = 5 + £.
The unit order wind stress gradient solution is very dependent on  the
value of the hypolimnion eddy diffusivity.  Figure 25 shows the shape
of the thermocline at x = 48.3 km for the same applied  wind stress for
the cases where 6 = 1/24, 1/12 and °°.  The 6 = °° case corresponds  to the
solution where the velocities in the entire hypolimnion are zero,
which is the quasi-compensation assumption referred to  above.
Case 2;  Uniform Wind with Variable Depth
To demonstrate the importance of wind stress curl, the  thermocline
                                   63

-------
   DISTANCE
   CURRENT
   MAGNITUDE
                 QE=
                             15 miles
     20km
  ,lft/sec
20 cm/sec
     -27.0    -23.0  -19,0
     -.     -.   -,   lRn
  31.0   \-25.0 \-2I.O !    -.] 5'° Tll-0
            \\i                °
                                     -7.0
Figure 24.  Thermocline depth contours with wind
            stress curl of order one  (6 =  1/24).
                      64

-------
    -lOi-
                              = 00
                            (ZERO HYPOLIMNION
                            VELOCITY  APPROXIMATION)
              20     40     60     80

                   DISTANCE,  km
                 100
Figure 25.   Thermocline profile at x = 48.3 km with wind
            stress curl of order one.
      DISTANCE

      CURRENT
      MAGNITUDE
OE


01
                              , (Smiles
     20km
  .Ift/sec
20 cm/sec
Figure 26.  Horizontal surface velocities  (6 = 1/24)
                         65

-------
     DISTANCE

     CURRENT
     MAGNITUDE
                             .(Smiles
     20km
	.1 ft/sec
20 cm/sec

' -x S
' - v x
1 - v N
V • • ,
\ \


*"" """' S
•— -•
1 ^"~ — — — ~ f^*"
I
\. ...
x 	

\
\
\
\
1


^


.

\
1
1 •
\
\
\\
\
1
1 t
/
S



,


.
4 t
\
\' *
i '
I. '.

• f



% »


*
*
4
'
*

*
k


P

Figure 27.   Horizontal velocities at 20 m depth.







f
T





i

\
\

t
l
l
V
\


•
\
V
\
\
\
\
*
•

\

I 4 < • • • •
j I » - • - *
I \ ' * * * *
v „,,*,.



\ ^ •*'**••

\ •.»•<-••
\ -.*»•»-•

X H ^ - * * -











- --• ---«.>,

*"••*"-•*->.
-""•""•"•x

"•-••••--'•>%\
• • — - - ^ •» J

	 	 ~ • ' * i
^
V
\
t
•
*



x
\
\
V
\
\
\
\

^
\
t
r






.
*

'


•
Figure 28.   Horizontal velocities at 35 m depth.
                      66

-------
contours for the same conditions as Case 1, except with a uniform wind,
were calculated.  It can be shown that, without the wind stress curl,
there is very little cross-wind variation in the thermocline depth.
The zeroth order solution for the uniform wind case also yields a zero
hypolimnion pressure gradient.  Therefore the uniform wind does not
create any zeroth order geostrophic inviscid currents in the hypolimnion
as in Case 1.
                                  67

-------
                             SECTION VII
                TIME-DEPENDENT, CONSTANT DENSITY MODELS

Except that the flow is now varying with time, the models discussed
in this section incorporate the same assumptions as those made in the
previous section, i.e., the water density is constant, the pressure
is hydrostatic, nonlinear acceleration and horizontal diffusion terms
can be neglected, the vertical eddy diffusivity is constant, and
surface displacements are small by comparison with the depth.
The basic model is presented and discussed in Section 7.1.  Representa-
tive results are shown for (1) a spatially uniform wind varying as a
step-function with time, and (2) a spatially and time-varying wind with
the wind velocity determined from observations made during Storm Agnes
in June, 1972.  Results from the latter case are compared with
observed surface displacements.  In Section 7.2, the extension of this
model to take into account a finer grid near shore and coupling with
the coarser off-shore grid is discussed and results of the calculations
are given.  With this basic model, some analytic investigations of
the important time scales governing the flow were made.  In addition,
the rigid-lid and free surface models were investigated and compared.
These latter investigations are presented in Section 7.3.

7.1  AN OVERALL LAKE ERIE CIRCULATION MODEL
With the approximations discussed above, the equations of motion reduce
to
                         _ fv = _       +  A                        <32)
                     at           p ax      v  az2
                                  68

-------
                        8V  -L.   f       * J2  J.  A  9 V                /--3-3A
                       —  +   fu  =	T*-  +  A  ——o               (33)
                        3t             p 9y     v 9z2
                              ^-  =  -  Pg                           (34)
                               dz
The boundary conditions are
               z = 0:  PA ~  =   T    ,   pA —  = T                 (35)
                         v3z     x        v9z     y
                                w  » -p-                             (36)





                   z = -h(x,y):  u=0,  v=0,  w=0               (37)





For simplicity, it is also generally  assumed  in our calculations


(although not necessary for  the calculations)  that the water is initially


at rest and therefore






                    t = 0:   u = 0, v  = 0, w=0,  C = 0             (38)






The hydrostatic equation, Eq.  (34), can be  integrated to give






                           p = Pa  + pg(s-z)                         (39)





where p  is the atmospheric  pressure  and may  be a function of x, y,
       3.

and t.  From this and neglecting the  variations in the atmospheric


pressure, it follows that






                        ^P   _  „„  <*£     9?       .3£               ftn\
                        —      PS —   >  —    =   Pg                 \H(J}
                        9x         3x     3y        3y




and therefore p can be eliminated  from Eqs.  (32)  and (33).   It is


convenient to integrate the  continuity equation over the depth.   The
                                   69

-------
result is
                              ,        .
                          8t     9x     3y    U                    (41)
In many studies of lake and ocean hydrodynamics, the rigid-lid approxima-
tion is invoked.  This assumption implies that no vertical motions are
allowed at the surface z = 0.  The upper boundary condition, Eq.  (36),
then reduces to

                             z = 0:  w = 0                         (42)

and the integrated continuity equation, Eq. (41), reduces to
                              f  +  U  - •
Stretched Coordinate System
It is convenient to transform the equations from an x,y,z system to an
x»y,o system where 0 <^ a <^ 1 and 0 = 0 corresponds to the bottom of
the lake while a = 1 corresponds to the surface of the lake  (Freeman,
Hale, and Danard, 1972).  With this transformation and a uniform a grid
spacing, the spacing in the x,y,z system is smaller in shallow regions
of the lake and increases in proportion to the depth.  This  ensures that
in the shallow areas there is no loss of accuracy in the computations
due to lack of vertical resolution.  The transformation also makes it
easier to incorporate the bottom topography into the numerical program
and to apply the boundary conditions.
The a coordinate is defined by

                               a = 1 +                             (44)
                                  70

-------
where h = h(x,y) is the depth at the location (x,y).  With this trans-
formation and the modifications discussed above, the governing
equations reduce to

                       3u    ,.        3?  .    v  32u                //r\
                       _  _ fv . _ pg_  +  ^  _,,                {45)
                       9v   .  .         3£   .  Av 32v               (46)
                       -  +  fu  = - pg    +  p- ^
                       IS.  +  M  +  II  =  n                       (47)
                       3t     3x     3y

            01               01
where  U = /   udz = h / uda  and  V = / vdz = h / vda.  The boundary
    ,. .    -h          0               -h        0
conditions are
                     .    .   8u   .          .  3v     .               (48)
                  a =1:  pA  -r— = hT   ,   pA —  =  hx
                           v 3a     x        v3a       y
                         a = 0:  u = 0, v = 0                       (49)

At the coast, it is assumed that there is no net normal mass flux.
Spatial Grid and Time Differencing
To set up the finite difference scheme, the spatial grid shown in
Fig. 29 is used.  The indices i,j,k refer to grid points in the x, y, a
directions respectively.  Constant grid spacings Ax, Ay,Aa are used
in the x,y,a directions and, generally, Ax = Ay.  The variables are
defined in such a way that the only variable occurring on boundary
segments parallel to the y-axis is U and the variable occurring on
boundary segments parallel to the x-axis is V.  Such an arrangement
is convenient since the boundary condition of no normal flow through
the coast involves U or V on appropriate boundary segments.
                                  71

-------
                                           Scc.lt
  18


If

-no ,
:LAJ



r 1


--J-*
ii

T
I





*f
k
T
ft'
Y1
T'
4,
V
" J"
A

j


t- -* — :
•4-
*
t — J —
t
L— O— .
— a— i
~t-
J

V
T
~t~-
1
T
"t"
A
,4-:
T
£
1
-r
i.
T
"I"
k — *— -;
1
4-
*
~j '
T
C-f-i
LJH
"t"1
?
I

4-
-A-
l
1
,-^_
14
' j,
1
L — 0— ;
y^
:-
•fl
'1~;
T
r - JL -
'~l
T
^_^_

*U^
AV,i
"5

4-
t- -•--«
— -^-.
rfj
>-i-.
T
i
i-
L
r


V
~J
Y
— A—
-A

r
A -
5




A _
1
d
T
t]
T
^
1,
Figure 29.  Horizontal grid pattern in part of Lake Erie.
                              72

-------
The staggering of the variables in the horizontal plane makes it possible
to use centered differences in space to evaluate derivatives with
respect to x and y.  Values for variables are sometimes needed at
points at which they are not defined.  These values are obtained by
linearly interpolating from the values immediately adjacent to the point
under consideration.  Forward differences in time are used in the
numerical calculations.  The vertical diffusion terms in Eqs. (45)
and (46) are evaluated by the Du-Fort Frenkel scheme [Smith, 1965]
to ensure numerical stability.
The numerical procedure can be summarized as follows:
(1)  Assume that the values at time t  are known (initially at t., ,
                                     n                          i
u = v = £ = 0).
(2)  Use Eq.  (45) to calculate un+1.
(3)  Use Eq.  (46) to calculate vn+1.
(4)  Evaluate Un   and v    by numerically integrating u and v over the
depth.
(5)  Set U and V equal to zero on appropriate boundary segments.
(6)  Evaluate ?n+1 from Eq. (47).
This completes the calculation at time t  _ and the computation for
the next time step can now be started with step 1.
Numerical Stability Considerations
The numerical model consists of a system of 3 differential equations
together with 2 numerical integrations.  The determination of a
stability criterion for the complete system is quite difficult and,
in general, simple closed form results cannot be obtained for the
allowable time step.  However, by examining the various physical
processes individually, some estimates of the stability limits can
be obtained.  This procedure has been found to provide reasonable
guidelines for the choice of the allowable time step At [Crowley,
1968].
The physical processes that place the most stringent limitations on
At are vertical diffusion (particularly in shallow regions of the lake)
and surface gravity waves.  The use of a Du-Fort  Frenkel scheme
                                   73

-------
makes it possible to overcome the limitations due to viscous diffusion
[Roache, 1972].  The scheme used in the present model is a modified form
of the Du-Fort Frenkel scheme in which forward time differencing is
used instead of a leap-frog scheme.  However, even this modified
scheme is found to be stable in practice.  The time step is therefore
limited only by surface gravity waves.
The stability criterion introduced due to the surface waves is that
the time step be less than the time it takes for the waves to move
across one grid spacing, the Courant-Friedrichs-Lewy condition
[Richtmyer and Morton, 1967].  A simple stability analysis for these
waves shows that for stability At < Ax/ v'gh, where At, Ax and h are
dimensional quantities [Richtmyer and Morton, 1967].  In practice, for
the full set of equations used in the present model, it is found that
the numerical procedure is stable as long as
                              At 1  —	   ,                       (50)
where h is the maximum depth in the lake.
Determination of the Wind Stress
The relationship between the wind stress and the wind velocity is taken
to be that discussed in Section 4.2, i.e.,

                         T  = p  C, W  W                            (51)
                         —     a  d  a —a

In general, the winds are not uniform over the lake.  Furthermore,
the wind velocities are only measured at a few points on the shores
of the lake. Therefore the wind stress over the remainder of the lake
has to be determined by interpolating from the known values at a few
points.  The method of interpolation used in this study is  similar
to that used by Platzman (1963).  The stress  at any point  (x,y) in
                                   74

-------
the lake is assumed to be given by

                      T(x,y,t) = Z Xm(x,y,Hm(t)                    (52)

where m is an index identifying a particular station, T  (t) is the  wind
                                                       m
stress at station m at the time t and X  (x,y) is a dimensionless
                                       m
interpolating function.  T  can be determined from Eq.  (51) from  the
known wind velocity at station m.
To specify the intei
point (x,y), define
To specify the interpolating function X (P), where P denotes an arbitrary
                                       m
                       am(P) - (x-xm)  +  (^m>                     (53)
the square of the distance between P and P .  Further, let
                                          m
                                      a  (P)                         (54)
                                       n
then
                                   f  (P)
                                   zf~(P)                           (55)
                                   m m
Instead of defining a (P) as in Eq. (53), any monotone function of the
                     m
distance between P and P  could be used.
                        m
For each data point P , contours of the interpolating function X  (P)
                     m                                          m
can be determined.  Results for the interpolating function obtained
from six data points around the lake are shown in Fig. 30.  It can be
seen that the influence of any data point diminishes as the distance
from it increases.  In particular, the influence of point 5 on the
stresses in the lake is small, since point 5 is at a larger distance
from the lake compared to the other points.  From Eq. (55), it is
evident that the sum of the influences of all the data points at P
is unity, i.e.,
                             Z X (P) = 1.                          (56)
                             m  m
                                   75

-------
uJ
                                                                              Q)
                                                                             J
-------
Numerical Grid Pattern and Choice of Time-Step
To set up the numerical grid in the lake, the boundaries of the lake
are first approximated by straight line segments parallel to the x and
y axis (see Fig. 30).  A uniform horizontal grid with Ax = Ay = 6.4 km
(4 miles) was used.  In the vertical direction, the region from the
bottom to the top  (a=0 to a=l) is divided into five intervals of length
Aa=0.2.
To determine the allowable time step for the calculations in Lake Erie,
the maximum depth of 67 meters is used.  Then, with Ax=6.4 km, Eq.
(50) requires that At be less than or equal to about 50 seconds.  With
this time step, the calculations showed no evidence of instability.
Results for a Uniform Wind
As the first example of the time dependent flow in Lake Erie, consider
a uniform wind blowing along the long axis of the lake with T  = 1 dyne/
  2                                                         x
cm  and T  =0.  According to Wilson's formula for the determination of
the wind stress from the wind speed, this corresponds to a wind
speed of 5.5 meters per sec.  The wind direction is W32°S.  Calculations
                                         2              2
were made for eddy diffusivities of 25 cm /sec and 40 cm /sec.  These
values are approximately the same as the values used by Gedney and
Lick (1972) for comparable winds (but steady state) and for which the
                                                                 2
numerical results compared well with measured data.  For A =25 cm /sec,
                                                          v            2
the calculations were carried out to about 57 hours, while for A =40 cm /
                                                                v
sec the calculations were terminated at about 21 hours.
                                                             2
A representative sample of the numerical results for A =25 cm /sec
is shown in Figs. 31 to 34.   From Fig. 31, it can be seen that there
is a dominant period of about 14 hours.  Henry [1902] has examined a
series of limnograms at the western and eastern ends of Lake Erie.
He found that the uninodal oscillation of the lake was most conspic-
uous for several days and it had a period of 14 hours.  Evidently the
period observed in the numerical results corresponds to these uninodal
oscillations along the long axis, since the wind is in the direction
of this axis.  The transverse oscillations and the effects of the
                                   77

-------
                                                                                o    w
                                                                                co    en
                                                                                       z>
                                                                                       o
                                                                                       X
                                                                                o
                                                                                in
                                                                                o
                                                                                ro
                                                                                o
                                                                                OJ
CVI
O        ~

            o
CVJ
 I
                                                                             (D
                                                                               I
                                                                                                 4J
                                                                                                 cfl

                                                                                                 a)
                                                                              a
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                                                                             •H
                                                                             4J


                                                                              I
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                                                                              0
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                                                                                                 ca
                                                                                                •H
                                                                                                 a)
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CO


 0)
                                                                                                 60
                                                                                                •rl
                                                 78

-------
                                       u
                                       
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                                  1
                                  fi
                                  0)
                                  g
                                  f
                                  o
                                  •H
                                  O
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                                  3
                                  00
80

-------
                                    CO
                                    tfl
                                    PQ
                                     CU
                                     4-1
                                     CO
                                     rt
                                    w

                                    4-1
                                     o
                                     g
                                     a
                                     a
                                     o
                                    o
                                    o
                                    4J
                                    •H
                                    a
                                    o
                                    rH
                                    (1)
                                    c
                                    o
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                                    M
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                                    33
                                    -a-
                                    ro
                                    cu
                                    M
(WDJHidHO
            81

-------
irregular boundaries can be seen in some of the smaller oscillations
that are superimposed on the main oscillation.
Contours of the surface displacement at t = 9.5  hours are shown in
Fig. 32.  The lowest point is at the western end of the lake and the
highest point is near Buffalo at the eastern end of the lake.  The
peak set-up between Buffalo and Toledo (Buffalo lake level-Toledo
lake level) is about 40 cm.  In general, except near the northern and
southern coasts and at small times, lines of constant £ are almost
normal to the wind direction.  The effects of Coriolis forces and the
bottom topography prevent these contours from being exactly normal
to the wind.
Velocity profiles at two points in the lake are shown in Figs. 33 and
34.  The difference in profiles in the shallow (Fig. 33) and deep
(Fig. 34) regions of the lake is evident.  In the deeper region, the
top and bottom Ekman layers can be identified.  Furthermore, in the
deeper regions, Coriolis forces are large compared to viscous forces,
and therefore the v velocities are large.  In contrast to this, v is
much smaller in the Western Basin where the water is shallow and Coriolis
forces are not important.  It can be seen (Fig. 33) that in the shallow
region, the approach to steady state is rapid and much less than a day.
In the deeper region (Fig. 34), the approach to steady state is much
slower with a relaxation time on the order of a few days.
Results for an Actual Storm
To verify the numerical model, consider next the case of an actual
storm on Lake Erie for which wind and lake level data are available.
Tropical storm Agnes stalled near Lake Erie and produced northerly
winds over the lake during June 21 to June 25, 1972.  Wind data during
the storm is available at six stations around the lake.  The wind
magnitude and direction at two different times are shown in Figs. 35 and
36.  All of the observed data for the storm has been taken from
Paskausky  (1973).
                                   82

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From the wind velocities, the wind stress at the six locations can be
determined.  However, the velocities over water are generally greater
than those over land.  A factor of 1.0 to 1.5 is usually  taken  (Reid
and Bodine 1968, Gedney and Lick 1972).  In the present case, a  factor
of 1.25 gave reasonable agreement with observational results, as will
be seen below.  Once the wind stress at the six locations is known,
the stress over the remainder of the lake can be determined by the
interpolation procedure discussed above.
Wind data for the storm is given at hourly intervals starting at 1000
hours on 6/22/72.  Examination of the measured surface displacement
curves shows that by this time the lake level had been sufficiently
disturbed and the initial condition of zero surface displacement
everywhere in the lake would be inappropriate if calculations were
started at this time.  However, about 10 hours earlier, i.e., at 2400
hours on 6/21/72, the lake level appeared to be relatively undisturbed
and this time was chosen to be the starting point for the numerical
computations.  The wind velocities during the period from 2400 hours
on 6/21/72 to 1000 hours on 6/22/72 were determined by linearly
interpolating from zero to the observed value at 1000 hours on 6/22/72.
Furthermore, since only hourly values of the wind stress can be
determined from the observed wind data, any intermediate stress values
were obtained by linear interpolation between two hourly values.  The
wind stress as a function of time at Cleveland and Toledo is shown in
Fig. 37.  The rapid changes in the magnitude of the wind stress are
evident.
The numerical calculations were carried out with a time step of 50 sec
                                   2              2
and for eddy diffusivities of 25 cm /sec and 40 cm /sec.  For
        2
A =25 cm /sec, numerical results for the surface displacement as a
function of time at Cleveland and at Port Stanley are shown in Figs.
38 and 39.   The results compare favorably with the measured values of
the surface displacement.  In particular, the numerical and observed
data have a similar variation.
                                                            2
Calculations were also made for an eddy diffusivity of 40 cm /sec.
The results for the surface displacement were practically indisting-

                                  85

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CvJ
 CO
 UJ
 2:

 Q
 CO
 CO
 LU
 CO

 O
 z:
       6 -
H -
o
       2HOOHRS  1200       2MOO      1200

                 6/22/72             6/23/72
   Figure 37.  Magnitude of wind stress as a function of time during
            storm Agnes.
                          86

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            CLEVELAND,  OHIO
                    MEASURED
                    CALCULATED
      2400
1200
                6/22/72
2400
1200
                       6/23/72
                                                     TIME
                                                     (HOURS)
Figure  38.  Calculated and measured water level fluctuations at
           Cleveland during storm Agnes.
                            87

-------
         PORT STANLEY, ONTARIO
             6/22/72
         6/23/72
    2HOO HRS   1200
2100
I2QO
   10 r
    0
  -10
  -20
                •TIME
                (HOURS)
                                            MEASURED
                                            CALCULATED
Figure 39.  Calculated and measured water level fluctuations
          for Port Stanley during storm Agnes.
                          88

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                                2
mshable from those for A =25 cm /sec.  This shows that the magnitude
and direction of the wind velocity dominate the flow.  Of course, after
the storm, as the surface oscillates and decays to an equilibrium
                                                          2
position, the differences between the results for A = 25 cm /sec and
        2                                          v
A =40 cm /sec would be more significant, as indicated by the constant
wind case.
It was mentioned previously that a linear interpolation for the wind
velocity was used for the first ten hours.  Varying the magnitude of
this initial wind set-up of course changed the surface displacement
during the first ten hours.  However, after this time, the results
were practially independent of what wind velocity was assumed for the
first ten hours.
Further verification of the numerical model was obtained by comparing
the numerical results with the observed water level at four points
around the lake at the time of approximately peak set-up at Cleveland.
This is shown in Fig. 40 where the surface displacement contours
are shown at 0400 hours on June 23.  It can be seen that the northern
end of the lake is at a much lower level than the southern end.  The
measured values of £ at Port Stanley, Marblehead, Cleveland and
Barcelona are also shown in the figure.  The calculated values at these
four points are -12, 5, 22 and 9 cm respectively and these are in
reasonable agreement with the measured values of -15, 6.4, 26, and 12
cm.  Thus the spatial variation of £ obtained from the numerical
model is also in accord with observed data.
Although the above numerical procedure is correct, it is not very
efficient.  Two alternate and useful procedures have been developed
for modeling of three-dimensional, time-dependent lake currents.  Both
are more efficient than the method indicated above and both have been
used previously in atmospheric and oceanic modeling.  One method is
that developed for lakes by Simons (1971, 1972, 1974, 1975).  In this
method, the external (vertically-averaged) and internal modes of the fl'
field are treated separately.   The time step used in the calculM :
of the external mode is limited by the stability requirement.fa indicated
                                   89

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                                 90

-------
above.  However, the calculation of the internal structure of the flow
is not limited by these requirements and a much larger time step can
be taken for these calculations.  This procedure has been incorporated
into the above model and further computations are presently being made.
The second method (Paul and Lick 1973, 1974) also involves separating
the calculations into external and internal modes.  However, the
external mode, is treated by using a rigid-lid assumption, an assumption
which effectively eliminates free surface gravity waves.  More details
on this method are given in Section VIII.

7.2  THE NEAR SHORE
The time-dependent model described in the previous section has been
modified so as to describe in more detail the flow in a near-shore area
near Cleveland (Sheng and Lick, 1975).  This area is the same as that
described in Section 6.3, where the flow was calculated by means of a
steady-state model.   In this near-shore region, a one mile or 1/2
mile grid is necessary for adequate detail.  This reduction in grid
size not only increases the number of grid points and therefore the
number of calculations per time step but also decreases the maximum
allowable size of the time step, At   , and therefore increases the
                                   max
number of time steps necessary for calculations over a specified time
interval.
It is unrealistic to describe the entire lake by means of a one mile,
or finer, grid.   By comparison with the four mile grid used in the
overall lake calculation, a one mile grid would increase the number of
grid points by a factor of 16 and, in addition, reduce At    by a
                                                         max
factor of 4.
In order to conserve computer time while still retaining the necessary
grid size in the near shore, the lake has been divided into regions,
each with its own grid size and, correspondingly, its own maximum
allowable size of time step.  These regions are:  (1) The near shore.
The grid size is one mile.   The maximum depth is 22 m.  This yields
a At    of 22 sec.   (2)  The Eastern Basin.  In this basin, an eight
    IHclX
                                  91

-------
mile grid is used.  The maximum depth is 65m and At    = 100 sec,
                                                   max
Although the grid is fairly crude, this will have comparatively little
influence on the motion in the near-shore region near Cleveland.
(3)  The Central and Western Basins.  A four mile grid is used in the
rest of the lake.  The maximum depth is 26 m which gives a At    of
                                                             max
82 sec.
It was decided to use a time step of 20 sec. in the near shore and
80 sec. in the rest of the lake.  This satisfies the above require-
ments and, in addition, four time steps in the near shore are then
exactly equivalent to one time step in the rest of the lake, a
computational convenience.
The coupling between regions with different grid sizes and different
time steps can of course create problems.  See a discussion of these
problems in Section V.  To investigate these problems, the coupling
process was first studied for one and two dimensional systems.  From
this experience, the present computational procedure evolved.  In this
procedure, it can be shown that:  (1)  Mass is conserved exactly as
fluid moves from one region to another.  (2)  Pressure forces (due
to surface displacements) are transmitted smoothly across the interface
between two regions.  (3)  The results agree with the results obtained
with a single grid size and a single time step  throughout the entire
domain, and therefore the results vary smoothly throughout the domain.
The coupling process can be illustrated by a discussion of the coupling
between the Eastern and Central Basins.  The grid pattern near the
boundary between the two regions is shown in Fig. 41.  The two grids
overlap over a region of four miles.  Let all variables in the Eastern
Basin be denoted by the subscript e and all variables in the Central
Basin  by the subscript c.  The solution procedure is:  (1)  Along the
vertical line I   =1 and I   =40, calculate the u 's from the finite
               ue          uc                      e
difference equations.  The u 's along this same line are then interpolated
                            c
from the u 's.   (2)  Along I   =1 and I   = 40, calculate the v 's
          e                 ve          vc                      c
and the £ 's from the finite difference equations.  The v 's and the
£  's along this line are then interpolated from the v 's and the £ 's.
                                    92

-------
      Dve,ve
      Oue, Ve
      * Cc
      •0 vc,Vc
                                                   Ju  £   Jv
                                                   uele   ve
                                            \x\\\\v
Iu      39  40
.  f   39   40
Figure 41.   Grid pattern at boundary between Eastern
            and Central Basins.
                           93

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The coupling between the near-shore region and the Central Basin is
treated in a similar manner with obvious changes when the orientation
of the boundary is different.
Calculations are made in a similar manner to that described in the
previous section.  Calculations were made initially to verify the
procedure.  Representative results are shown in Fig. 42, the surface
displacement as a function of time and as a function of distance along
a line across the lake approximately perpendicular to the shoreline
at Cleveland.  For these calculations, the wind stress was taken to
                     2                      2
be T  = 1.55 dynes/cm  and T  =1.1 dynes/cm  with the wind starting
impulsively from rest at time zero.  The smoothness of the results is
evident.  Also noticeable is the 14 hour longitudinal seiche on which
is superposed the 2 1/2 hour transverse seiche.  Preliminary results on
the effects of an island jetport have also been calculated (Sheng and
Lick, 1975)

7.3  ANALYTIC RESULTS
General characteristics of the time-dependent flow in a lake were
investigated (Haq, Lick, and Sheng 1974, Haq and Lick 1975) using
primarily analytic methods which were then verified and extended by
numerical methods.  The time-dependent flow in a lake or ocean can
be thought of as the flow in a rotating container with a free upper
surface.  Many different time scales are present and their relative
importance is determined by the physical parameters appearing in the
problem.  In the investigation which is summarized here, time scales
of interest were explicitly identified and simple analytic formulas
for these time scales were derived.  In addition, the rigid-lid
and free-surface models were investigated and compared.  The analytic
results were verified by comparison with numerical calculations.
For this investigation, a relatively simple model was investigated,
i.e., a constant density, time-dependent, wind-driven flox^ in a basin
of constant depth.  The emphasis is on values of parameters (especially
Ekman number) corresponding closely to those in the Great Lakes and in
particular to those in Lake Erie, the shallowest of the  Great Lakes.
                                  94

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The basic equations are those presented in Section 7.1.  It is assumed
that the wind is spatially uniform and varies as a step function with
time.  By means of Laplace  transforms, an analytic  (but quite complex)
solution can be obtained.  The method of solution and the solution
itself can be simplified by using a substitute kernel technique, an
approximation shown to be generally valid for the range of parameters
representative of large lakes.
Results are discussed here for two simple cases, (1) an infinitely
long lake of width L and depth h, and (2) a square basin of length
L and depth h.  For an infinitely long lake, it can be shown, for the
rigid-lid model, that the surface displacement decays with a time
scale t  = 1/fy2, where y2 is given by
/E
y v 2
2irh
sinh , sin
cl
2irh
cosh .. 4- cos
d
2lTh
d
2trh /E* . ,_ 2trh ^ . 2irh
d y 2 Sinh d + Sin d
                                                                    (57)
where d is the Ekman layer thickness.  For a shallow lake, where
h/d«l, the time scale t  is given by t  = 4ir2h2/5fd2  and is
                 22
proportional to h /d  or 1/E  , i.e., a viscous diffusion time  (Greenspan,
1968).  For a deep lake, where h/d»l, the decay time is given by
t, = 2irh/fd and is proportional to l/i/E~, i.e., the usual spin-up
time for a rotating container with a rigid lid  (Greenspan, 1968).  »
For an infinitely long lake with a free surface, the motion is more
complex.  Various asymptotic  time scales can be identified and depend
                                  2 2
on the parameter $, where g = gh/L f , as well as on the Ekman number.
In the limit as g-*»  (the rigid-lid approximation), these times are
t , a diffusion or spin-up time depending on the value of h/d, and
t? = 2L/i/gh",  the period of oscillation of surface gravity waves.
In this limit, the amplitude  of the solution corresponding to gravity
waves goes to zero so that these solutions are absent from the rigid-
                                   96

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lid results.  As 3-K), the dominant times are t  =  2-rr/f,  an
                                             222
inertial period  (Proudman, 1952), and t  =  fL /IT y gh, a flux  time  scale,
This latter time scale arises from the fact that the  lake surface is
displaced by the wind stress and it takes a certain amount  of  time,
given by t,, to move fluid from one side of the lake  to  the other under
the action of a wind stress or induced pressure gradient.   In  a  deep
lake, this mass motion occurs through the Ekman layers.
For intermediate values of  3 corresponding to real lakes,  the time
scales can be calculated from simple analytic formulas but  cannot be
easily interpreted, being combinations of the above times.   In general,
the solution consists of (a) a decaying part which has a decay time
varying from t  to t, as  3 goes from °° to  0, and  (b) an imposed
decaying oscillatory part with a decay time of the order of t., and  a
period of oscillation varying from t9 to t. as 6 goes from  °° to  0.
As g-*», the free-surface model approaches the rigid-lid  model.   For 3-*°°
and E «1, the results correspond to those  for the spin-up  of  a
rotating container with a rigid-lid [Greenspan, 1968].   The rigid-lid
and free-surface results for E  =1.0 and E = .025 are shown in  Figs.
                              v
43 and 44 respectively.  These results are  for a lake with  width L =
                                  2
300 km, h = 10m, and T = 1 dyne/cm .  Analytical results for the rigid-
lid case show that the surface displacement is given by
                                  x     1]   .   -2.4ft
                                            U 6      }              (58)
for E  =1.0 and
     v
                                             -e-'13ft)
                                                                    (59)
for E  = .025, where U  is a reference velocity taken to be 10 cm/sec.
     V                R
These results are shown in Figs. 43 and 44 and the agreement with  the
numerical results is seen to be fairly good.
                                   97

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                      TIME (HOURS)
u
                           ANALYTICAL RESULT
                           NUMERICAL RESULT
   -10--
                                      RIGID LID
Figure 43.  Surface displacement at x = 0 as  a function of time
           for an infinitely long lake.with  L = 300 km, H = 10 m,
           E  = 1.0, T = 1 dyne/cm2.
                            98

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From Figure 43 (for E  =1.0),  it can also be seen that the decay
time for this case as predicted by the rigidr-.lid model is much shorter
(by about a factor of 4) than that predicted by the free surface model.
However, no oscillations of the free-surface are evident due to the
large viscous damping in the lake.  The dominant time scale for the free-
surface case can be shown to be of the order of t  - 1.6.  In contrast
with this, the decay time of the rigid-lid solution obtained from Eq.
(70) is 0.42.
Fig. 44 shows the results for a lower Ekman number (E  = .025) and for
two different values of 3.  Consider first the results for 6=0.11,
                                                                  2
corresponding to a lake with L = 200 km, h = 10 m, and T=! dyne/cm .  It
is evident that the decay time predicted by the rigid-lid solution is
once again shorter than the time obtained from the free surface model.
The oscillations of the free surface can be clearly identified.  The
analytical results predict a decay time and period of oscillation of
11.5 and 4.5 respectively and these are in satisfactory agreement with
the numerical results.  The case of (3=.025 corresponds to a lake with
                                      2
L=630 km, h=10 m, and T=0.475 dynes/cm .  The choice of these parameters
ensures that the rigid-lid results remain unchanged.  For this small
value of g, the flux time scale t, becomes  the dominant decay time.
The decay time and period of oscillation for this case are 31.4 and
5.7 respectively and these are in agreement with the numerical results.
For the time-dependent flow in a square basin, analytic results were
found in the rigid-lid approximation, but will not be discussed here.
Representative and interesting numerical results for free-surface
flows in a square basin are shown in Fig. 45, which gives the surface
displacement as a function of time for values of 3 of 0.98 and 3.92.
                                 2
The wind stress is T  =1 dyne/cm , T  = 0.  The case of 3 = 3.92
                    x                Y
corresponds to L = 50 km and h = 10 m, values representative of the
Western basin in Lake Erie, while 3 = 0.98 corresponds to L = 100 km
and h = 10 m.  A beat effect is apparent for £ = 3.92.   R>r the free
inviscid oscillations in a lake, it can be shown  (Lamb 1932, Golds-
borough 1931, Corkan and Doodson 1952) that two sets of waves are present,
                                    100

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one rotating in a clockwise direction and the other rotating in a
counter-clockwise direction.  The frequencies of these waves depend on
the depth and horizontal dimensions of the basin.  For the present case,
the two opposing waves have frequencies which differ  by only a
small amount.
For these calculations, the Ekman number was taken to be 0.025 with
                                             2
a corresponding eddy diffusivity of A =2.5 cm /sec.  For these same
                                     v          2
conditions but with an eddy diffusivity of 25 cm /sec, a value more
representative of Lake Erie, damping of the surface displacement
is more evident and the beat phenomena is not as apparent.
It can be seen, at least for values of 0 which are typical of the Great
Lakes, that the results for the surface elevation £ are quite different
from those of B-*00, the rigid-lid limit.  In particular it can be seen
from the analytic results that, in the rigid-lid limit, both the t  and
t  time scales are eliminated, i.e., no surface gravity waves or piling
up of water is permitted.  Furthermore, the rigid-lid results predict
a much faster rate of approach towards the steady-state compared to the
free-surface results.
                                   102

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                             SECTION VIII
                TIME-DEPENDENT, VARIABLE DENSITY MODELS

Various models which include the effects of time dependence and variable
density  have been developed by us and some of them are discussed in this
section.  The basic assumptions used in all of these models are:  (a) The
Boussinesq approximation is valid.  This assumes that density variations
are small and can be neglected except in the gravity term.  The
coupling between the momentum and energy equations is retained.  A
consequence of the Boussinesq approximation is that the energy equation
reduces to a balance between convection and turbulent diffusion.
(b) Eddy coefficients are used to account for the turbulent diffusion
effects in both the momentum and energy equations.  The horizontal
eddy coefficients are assumed constant but the vertical eddy coefficients
may vary depending on the temperature gradient and other parameters.
(c) The pressure is assumed to vary hydrostatically.  In the problems
discussed here, variations in the vertical velocity are small enough
that the neglected terms in the vertical momentum equation are small
compared to the gravity term.  A consequence of this approximation is
that the order of the system of equations is reduced as is the computa-
tional effort required for solution.  (d) The rigid-lid approximation
is valid, i.e., w(z=0)=0.  This approximation is used to eliminate
surface gravity waves and the small time scales associated with them.
The exclusion of these smaller time scales greatly increases the
maximum time step possible in the numerical computations.  When surface
gravity waves are permitted, simple stability theory indicates that
the allowable time step is limited by the Courant-Friedrichs-Levy
condition, i.e.,  At < hx/vgh, where Ax is the grid size, g is the gravita-
tional constant,  and h is the depth.  With the rigid-lid approximation,
the limiting time is no longer At  but is given generally either by
At  = Ax/u, where u is a typical fluid velocity, or by At  =Ax/u.,
where u. is the speed of an internal wave given by u. = /Apgh/p
                                   103

-------
and Ap is the density difference across the wave interface.  In either
case, At  is generally much greater than Atf with the ratio At /At.
usually being on the order of 10 to 100.  In the rigid-lid approxima-
tion, only the high frequency surface variations associated with gravity
waves are neglected.   Internal variations with time are approximately
correct while the steady-state results are calculated correctly and
are the same as for the free-surface case.
Variable bottom topography is accounted for in the present numerical
model by a stretching of the vertical coordinate proportional to the
local depth, as was done in Section VII.  This transformation ensures
that in the shallow areas there is no loss of accuracy in the computa-
tions due to lack of vertical resolution, a significant factor in
near-shore calculations.  However, the transformation is not conformal
and the transformed diffusion terms involve cross-derivatives of the
spatial coordinates.  For simplicity, the further approximation is
generally made that the diffusion terms containing derivatives of the
depth are negligible with respect to those diffusion terms containing
only the depth.  This approximation, which greatly simplifies the dif-
fusion terms, is used in meteorological problems when topographic
variations are included (Phillips 1957, Smagorinsky, et al 1965).
The main applications of these models have been to river discharges
and thermal plumes from power plants flowing into large lakes (Paul
adn Lick 1973 a,b,  1974).  Representative results of our calculations
are shown in Section 8.1 for the particular case of the thermal discharge
from the Point Beach power plant on Lake Michigan including realistic
geometry, buoyancy effects, wind stresses, and cross flows in the lake.
The same basic model has been applied to lake circulation problems and
representative results of these calculations are shown in Section 8.2.
Further extensions and applications of these models are presently
being made.

8.1  RIVER DISCHARGES AND THERMAL PLUMES
A great deal of work has been done recently trying to model the hydro-
dynamics of a thermal plume from a power plant (see Policastro and Tokar

                                  104

-------
(1972) for a recent summary and comparison of existing models and field
data) and the similar problem of the discharge from a river.  Most of
these investigations are by means of integral methods or rather simple
numerical models.  Work similar to ours, i.e., three-dimensional numerical
models, has been done by Waldrop and Farmer  (1974 a,b).  However, their
model has a free surface (and therefore small limiting time steps At- £
Ax//gh ), no vertical  stretching of the coordinates, and inaccurate
representation of the time behavior (because of approximations made to
expedite convergence).
Calculations have been made by us of simple river-lake flows with para-
meters typical of the Cuyahoga River entering Lake Erie (Paul and Lick
1973 a,b, 1974) and of the discharge from the Point Beach power plant
on Lake Michigan.  Representative results of these latter calculations
are discussed here.  Two cases are presented.  These are the discharge
into a quiescent lake and the discharge into a lake with a cross-flow
and a surface wind present.  The relevant parameters, based on field
measurements taken at the site of the outfall (Frigo, Frye, and
                                                3
Tokar, 1974), are as follows:  flow rate, 24.7 m /sec; outfall width,
10.8 m; outfall depth,  4.2m; ambient lake temperature, 8.3°C;  discharge
temperature, 17,5°C; maximum discharge velocity, 0.9 m/sec.  The bottom
topography is shown in Fig. 46.  The outfall extends into the lake and
the discharge forms a 60° angle with the shore.
In presenting the basic equations,  it is convenient to introduce the
following dimensionless variables:
                                                   wb
                     u* = —   ,  v* =  —   ,  w* = —r-
                          "o           «b          uoho

                                                    AHt
           x*= f   '  y*= f   >  z*= t   ,  t* = -^
                bo          bo          ho          b02
                                           P"P
                     p* - r *^:  2     p* = 	u '   T* =
                          PghQFr            PQ  »
                                  105

-------
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                                           ,
                                                Vo
              A
         Pr = -I*
                                                K
                     u.
       Fr
                            ,  U  = u(x=0, y=0, z=0)
                                 w - a
                              u _3h     v 3b\
                                3s       9y
dc
dt
where b  and h  are the width and depth respectively of the discharge,

p  is the density of the lake water and T  is the air temperature.
 vJ                                       Ct

In the following, only non-dimensional variables will be used unless

otherwise explicitly noted.  Therefore, in order to simplify the nota-

tion, the asterisks on these non-dimensional variables will be dropped.

The resulting system of transformed equations is then:
                      1 3(hu)  ,   1 3(hv)    _9fi
                      h  3x       h   3y     80
                                                           (60)
   Re

   Fr^
-dh / APdo
     o
1
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3h
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3 (huv)
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_
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h

h


4


U

U

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h
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o
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3 h3u
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. \
1 3 IY 3u

1


,
iz 3a \ 3a
\ /
                                                         3x
                                                                   (61)
                                107

-------
I  9 (huv)
h    3x
        Re
3_
3y
                 h/
                 1 3(hv )
                 h   3y
                                             3 a
«
a 3h An
u Ap
, 1
' h
3 1 h3v
3x\ 3x
3
3y
h3v
i 9y,
i J

                                                                    (62)
Pr-2^
-i.  5 (huT)
      3x
                 I
                 h
           h
                           +
     3x
             3x
                    3(hvT)
                      3y
                       h3T
3y
                                                                    (63)
             1 j*£   Re   ,     .
             h-37 = 7-2  (1 + p)
                                                                    (64)
                               P=P(T)
The rigid-lid condition is difficult to apply in a numerical  solution
of the above system of equations.  To alleviate this difficulty,  an
additional equation for the pressure which contains the  rigid-lid
condition can be derived.  This is accomplished by taking  the diver-
gence of the vertically integrated horizontal momentum equations  and
using the vertically integrated continuity and hydrostatic pressure
equations.  The resulting equation then has the general  form
                                  108

-------
                 3   WP
                        s
                 3x  I 3X  /     8y
h P
 T-H = F(u,v,w,T)               (65)
 oy
The term P  is the integration constant resulting from the vertical
          S
integration  of the hydrostatic pressure equation and is the surface
pressure, i.e., the pressure at z = 0.  This surface pressure can be
interpreted as a pressure due to a height of water above or below the
surface z = 0.  In this way, surface displacements (neglecting the
transient motion due to gravity waves) can be calculated.

In the above equation, the time derivative of the vertical velocity at
the surface appears.   The rigid-lid condition implies  that this term
should be zero.  However, due to numerical errors, some non-zero values
of this quantity are generally obtained.  It can be shown that this
indicates that the continuity equation is not satisfied exactly.   These
errors can accumulate with time if not accounted for properly.   A
corrective procedure due to Hirt and Harlow (1967)   is used to eliminate
these accumulative errors.
The boundary conditions are as follows.   The inlet velocity and tem-
perature profiles are specified.   The inlet velocity profile is a smooth-
ed average of that measured at the outfall while the inlet temperature
was taken as the constant value measured.   The bottom and the shore
are taken as no-slip,  impermeable,  insulated surfaces.   A heat transfer
condition proportional to the temperature difference (surface temperature
minus equilibrium temperature)  and a wind-dependent stress are imposed
at the surface.  The surface heat transfer condition is calculated from
the work of Edinger and Geyer (1965) while the stress acting on the
water surface due to the wind is calculated by the formulae developed by
Wilson (1960).   The equation of state is obtained by a least squares
curve fit of density vs.  temperature data.
Normal derivative pressure boundary conditions are derived from the
appropriate vertically integrated momentum equation.   The outer x and
y boundaries for the numerical calculations must be taken at some finite
distance.   The boundary conditions used  here are that the normal
                                  109

-------
derivatives of the velocities and the temperature are zero.
The values for the eddy coefficients were chosen as follows.  From  out-
fall measurements, the distance is determined that it takes the velocity
to decay to one-half of the inlet value.  A reasonable value for the
horizontal coefficient is picked using previous experience.  The ratio
of the horizontal to vertical coefficient is then chosen so that it gives
the same velocity decay as for the two-dimensional boundary layer jet
with bottom friction.  The vertical eddy coefficient is taken as
dependent on the local vertical temperature gradient (see Eqs. (15)
and (16)).  The dependence on temperature is the same as that suggested
by Munk and Anderson (1948) and, for the present case, is given by

                                       aT
                            Av  -  a-gf                          (66)

where a and 8 are constants depending on the local conditions.  The
constant a is equal to the vertical eddy diffusivity A  under neutral
stability conditions and  was taken to be 50 cm /sec while 3 was assumed
            3
to be 200 cm /°C sec.
The equations are put into appropriate finite difference form in both
space and time.  The horizontal velocities are defined at integral nodal
points, the vertical velocity is defined at half-integral nodal points,
the temperature is defined at half-integral nodal points in the horizontal
and integral nodal points in the vertical, and the surface pressure
is defined at half-integral nodal points in the horizontal.  In the
derivation of the finite difference equations, variables are sometimes
required  at points where they are not defined.  In these circumstances,
the undefined quantity is taken as the simple average of the neighbor-
ing values.
The finite difference approximations to the equations are derived by
integrating the equations over nodal cells.  Either the mid-point or
trapezoidal integration rule is used to evaluate these integrals.
Part of the rationale behind the arrangement of the variables is to
provide cells which lend themselves to easy use of the integration rules.
                                   110

-------
The Euler explicit time scheme, where the time derivative is written
as a simple forward time difference and the rest of the equation is
evaluated with the previously calculated values, is used exclusively
in the present model.  The three time level explicit time scheme used
by Paul and Lick (1973b) has been found to be not as stable as the
Euler explicit scheme.  Even the use of the filtering procedure suggest-
ed by Bryan (1969) for the three time level scheme did not provide
enough stability when inertia dominated flows were calculated.
At each time step, the Poisson equation in the surface pressure has
to be solved.   For  this purpose, the alternating-direction-implicit
(ADI) method (Varga 1962, Wachspress 1966) is used and was found to be
particularly efficient.
After the temperatures are calculated by the explicit time scheme,
they are checked to see if static stability is satisfied, i.e., if the
temperatures decrease monotonically downward (assuming that density
increases with increasing temperature).   When a static instability is
encountered, infinite mixing is assumed which just averages the temperature
over any unstable region.
The above procedure is carried out until the desired solution is obtained.
In both cases discussed below, a variable grid was used with the grid
size varying from about 2 m to about 100 m.
For the first case of the discharge into a quiescent basin, representa-
tive  results of the calculations are shown in Figs. 47 to 49.  Figs. 47
and 48 show the horizontal velocities at the surface and at a depth
of 2.1 m respectively while Fig. 49 shows the surface temperature
distribution.   As the flow is discharged from the outfall, it is forced
towards the surface by the decreasing depth (seen in Fig. 46) as well
as by buoyancy.  The large Froude number (Fr = 4.2) indicates that at
least initially buoyancy effects are not dominant.  The higher
surface velocities on the left of the outfall centerline are due to the
fact that the depth decreases more rapidly in that region.  After about
                                   111

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                                          114

-------
75 m from the outfall, the depth begins to increase.  After this point,
the velocities at the 2.1 m depth remain small, with most of the flow
occurring near the surface.
A second calculation was made for a case when a cross-flow (current of
9.1 cm/sec) and an off-shore wind (approximately 5 m/sec) were present.
Representative results of the calculations are shown in Figs. 50 and
51,  Fig. 50 shows the surface velocities and it can be seen that the
discharge is swept in the direction of the cross-flow.  This is even
more evident in Fig. 51 which shows the surface temperatures.  It can
be seen  (compare Fig. 49) that the temperatures are displaced in the
direction of the cross-flow and are also displaced towards shore.
A comparison of the calculated results with field observations is shown
in Figs. 52 to 55.  Figs. 52 and 53 are for the first case above and
show the temperature decay along the centerline and the isotherm
area for various temperatures.  It can be seen that there is good
agreement between the predicted results and field observations.
Similar results are shown for the second case discussed above in
Figs. 54 and 55.  Again good agreement between the predicted and obser-
ved values is evident.  The calculations are presently being extended
to include more of the flow field.
Additional field data is available (Frigo, Frye, and Tokar, 1974) from
which one can determine more details of the flow field.  However, the
flow, due to its turbulent nature (see Csanady (1973) for a general
description of the turbulent diffusion and nature of plumes), is highly
variable both in space and time.  Continuous field measurements over
a sufficiently long period of time  to average out these variations
must be made before more general comparisons can be made between our
calculations and observations.  This has not been done yet.  However,
the above calculated results, although limited, seem more than adequate
at this point.
                                  115

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                             121

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8.2  LAKE CIRCULATION MODELS
The most extensive work on three-dimensional, variable density models
for lakes is that due to Simons (1974, 1975), who used a free-surface
model.  Extensive numerical computations have been made and the results
compared in detail with observations for two physical events.  The first
was a calculation of the time-dependent flow during tropical storm
Agnes in June, 1972 when Lake Ontario was only weakly stratified
(Simons, 1974) and the second was a calculation of the flow in August,
1972 when Lake Ontario was strongly stratified (Simons, 1975).  For these
calculations, the horizontal grid spacing was 5 km while the vertical
resolution consisted of four layers separated by horizontal levels
at 10, 20, and 40 m below the surface to approximate the location of
current meters used in the field studies.
For numerical efficiency, the calculations for the external and internal
modes were treated differently.  This was done as follows.  For each of
the four layers, the equations of motion were written in conservative
form similar to Eqs. 60 to 64.   By summing these equations over the
four layers  (equivalent to vertically averaging over the depth), one
obtains the equations for the external mode.  In this manner, it is found
that much larger time steps can be taken for the internal mode computations
than those for the external mode computations.  For Lake Ontario, a
time step of 100 sec was used for the external mode and a time step
of 15 min was used for the internal mode.
In the first calculation, the flow was essentially at  constant
density.  The vertical eddy viscosity was taken to be proportional to the
wind stress and of the form A  = A   + KT/P where A   and K are constants.
                             v    vo               vo              £
Good agreement with measurements was obtained by taking A   = 25 cm /sec
and K = 100 sec.
In the second calculation, the flow was strongly stratified and variable
density effects were appreciable.  However, turbulent diffusion of
momentum was treated in the same manner as for the first  (constant density)
calculation with no dependence of the eddy viscosity on temperature
gradient.  Turbulent diffusion of heat was not included in the calcu-
                                    122

-------
lations but was determined by a comparison of the predicted and observed
results.  In general, the predictions of surface water levels and currents
were quite good.  Stratification was shown to have an appreciable effect
on the temporal variations of currents.  Phenomena such as internal
waves were not simulated in a satisfactory manner because of the choice
of eddy coefficients.  Temperature predictions showed general agreement
with large scale averaged observations.  However, because of the neglect
of turbulent heat transfer, the detailed temperature distribution was
not given adequately.
From the differences in the calculated and observed temperature
distributions, a lake-wide diffusive heat flux was calculated.  From
this, an effective eddy conductivity was determined.  For this event,
                                             2
effective eddy conductivities were about 1 cm /sec.  For an earlier
period during Storm Agnes, effective eddy conductivities were determined
                             2
to be approximately 2 to 4 cm /sec, indicating  the effect of higher
wind stresses on producing turbulence.
The rigid-lid model described in Section 8.1 has been used by us to
calculate the circulation in simple basins and in Lake Erie, especially
in the near-shore including a description of the flow in Cleveland Harbor.
More extensive reports on these calculations are forthcoming and they
will not be discussed here.  Numerical experiments are presently being
performed in an attempt to understand the formation and decay of a
thermocline in a large lake and the accompanying modification to the
dispersion of a contaminant because of this stratification.  Some
representative results of the flow in the Central Basin of Lake Erie
are discussed below.
For this Central Basin calculation, for convenience, the geometry was
approximated and the Central Basin was taken to be 60 miles wide and
100 miles long.  The actual bottom topography was used except near shore
where a constant 6 ft. depth was assumed.  The temperature was assumed
initially to be 75° F in the top 9.15 m and 55°F in the layer below that.
A variable eddy viscosity was assumed of the form described by Eq. (66)
                                   123

-------
                2                    3
with q = 16,8 cm /sec and & = 84.0 cm /?C sec. Horizontal mixing was
neglected since this is, only important in narrow layers  (less than 2
km wide) near shore,.  A constant wind of 5,4 tn/sec from  the South was
assumed.
Representative results of the calculations after approximately 14 hours
are shown in Figs. 56 to 59,  Fig. 56 shows the horizontal velocities
at the surface, a generally uniform flow to the right of the wind and
along the longitudinal axis of the lake as might be expected.  Varia-
tions near shore are due to local topography and depth variations.
Fig. 57 shows the velocities of a vertical and longitudinal plane
approximately in the center of the basin.  The circulation consists
of one large cell in contrast to the two counter-rotating cells obtained
when a two-layer model is assumed (see Section 6.4 and Figs. 24 to 28).
In the two-layer model, it is assumed that there is no flow between the
epilimnion and hypolimnion while in the present case there is considerable
flow vertically at all depths.  The two-layer model is valid in the limit
as the turbulent mixing and convection between the two layers becomes
negligible.
This turbulent mixing depends nonlinearly on the temperature gradient.  In the
present calculation, this temperature gradient is small  in the upper half
of the basin but much larger in the  lower half of the basin as can be seen in
Figs. 58 and 59, which show the temperatures in vertical planes through the
center of the basin.  Table 2 shows the correspondence between the temperatures
and the letters designating constant temperature lines in Figs. 58 to 61.
The strong stratification is apparent and reduces vertical mixing
appreciably.  This stratification depends of course on the initial
conditions assumed but is strongly affected by the variable eddy coef-
                                                                    2
ficients.  For a constant eddy viscosity and conductivity of 16.8 cm /sec
equal to A  in neutral stability, the same calculation produces the
temperature variations shown in Figs. 60 and 61.  The smaller temperature
gradients and stronger mixing in this case are evident.  Although the
temperature variations are strongly affected, the velocities are not
greatly modified.  Qualitatively, the velocity variations are the same
as for variable eddy coefficients.  Smaller vertical velocities are
                                    124

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Figure 58.   Temperatures in vertical plane along minor axis
            and through the center of the Central Basin.
                          127

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Figure 60.  Temperatures in vertical plane along minor axis and
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            eddy coefficients.
                            129

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130

-------
               Table 2.  LABELS FOR CONSTANT TEMPERATURE LINES

Contour Label
A
B
C
D
E
F
G
H
I
J
K
L
M
N
0
P
Contour Value
°C
14.1
14.7
15.4
16.0
16.6
17.3
17.9
18.6
19.2
19.8
20.5
21.1
21.8
22.4
23.0
23.7
noticeable with the maximum decrease on the order of 20%.
Strong horizontal temperature stratification occurs, especially near shore,
due to the fact that surface near-shore waters only mix with near-surface
waters while off-shore the surface waters mix with cooler bottom waters.
The asymmetry in the temperature profiles is due to convection with
downwelling occurring on the North shore and upwelling occurring on the
South shore.
More work is presently being done to investigate the transition from a
well-mixed flow to a strongly stratified flow.  In particular, the near-
shore areas where upwelling and downwelling are important are being
investigated in detail.
                                    131

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                              SECTION IX

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Bonham-Carter, G., J.H. Thomas and D. Lockner.  1973.  A Numerical
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Bonham-Carter, G. and J.H. Thomas.  1973.  Numerical Calculation  of
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Boyce, F.M.  1974.  Some Aspects of Great Lakes Physics of  Importance
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Browning, G., H. Kreiss, and J. Oliger.  1973.  Mesh Refinement.  Math.
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Bryan, K.  1969.  A Numerical Method for the Study of the World Ocean.
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Casey, D.J.  1965.  Lake Ontario Environmental Summary.  U.S. Environ-
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Chen, J.H. and K. Miyakoda.  1974.  A Nested Grid  Computation for the
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Corkan, R.H. and A.T. Doodson.  1952.  Free Tidal  Oscillations  in a
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Donelan, MI.A,,, F.C, Elder and P,F. Hamblin.   1974.  Wind  Stress  from
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Freeman, N,G., A.M. Hale and M.B. Danard.  1972.  A Modified Sigma
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Frigo, A., D. Frye, and J.V. Tokar,   1974.  Field Investigations of
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Galloway, F.M. and S.J. Vakil.  1975.  Criteria for the Use of
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Gedney, R.T. and W. Lick.   1970.  Numerical Calculations  of the  Steady
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Gedney, R.T. and W. Lick.   1971.  Numerical Calculations  of the  Wind-Driven
Currents in Lake Erie.  Case Western  Reserve  University,  Cleveland,
Ohio.

Gedney, R. and W. Lick.  1972.  Wind-Driven Currents  in. Lake Erie.   J.
Geophys. Res.  77:2714-2723.

Gedney, R.T., W. Lick, and  F.B. Molls. 1972,  Effect  of Eddy Diffusivity
on Wind-Driven Currents in  a Two-Layer Stratified Lake.   National
Aeronautics and Space Administration.  TN D-6841.

Gedney, R.T., W. Lick and F.B. Molls.  1973.  Effect  of Bottom Topography,
Eddy Diffusivity, and Wind  Variation  of Circulation in  a  Two-Layer
Stratified Lake,  National  Aeronautics and Space Administration,  TND-
7235.

Gedney, R.T., W. Lick, and  F.B. Molls.  1973.  A Simplified Stratified
Lake Model for Determining  Effects of Wind Variation  and  Eddy Diffusivity.
Proceedings 16th Conference on Great  Lakes Research.  International
Association for Great Lakes Research,  p. 710-722.

Goldsborough, G.R.  1931,   The Tidal  Oscillations in  Rectangular  Basins,
Proceedings Royal Society,  Ser. A:132.
                                    133

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Greenspan, H.P.  1968.  The Theory of Rotating Fluids,   Cambridge
'' - 1, /er s i t y Press. London,

lUnblin, P,,F,.  1969,  Hydraulic and Wind-Induced  f'irc'il-Jtlon  in  a Model
of Great. Lake.  Proceedings 12th Conference on '^rear  Lake  Research.
International Association for Great Lakes Research,

Hamblin, P.""'.  1971.  An. Investigation of Horizontal  Diffusion  ixi Lake
Ontario,  Proceedings 14th Conference Great Lakes Research.   International
Asso'.iation  for Great Lakes Research,  p. 570-577.

Haq,  A, and W. Lick.  1975.  On the Time-Dependent Flow  ia a  Lake.   J.
v'Jeophys. Res. 80:431-437.

Haq,  A. W. Lick, and Y.P. Sheng.  1975.  The Time-Dependent Flow in
Large Lakes with Application to Lake Erie.  Case  Western Reserve
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Henry, A.J.  1902.  Wind Velocity and Fluctuations of Water Level of
Lake Erie.  Bulletin.  U.S. Weather Bureau,

Hirt, C.W. and F.H. Harlow.  1967.  A General Corrective Procedure for
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Janowits, G.S.  1970.  The Coastal Boundary Layers of a  Lake  when
Horizontal and Vertical Ekntan Numbers are of Different Orders of Magnitude.
Tellus, Vol. 22.

Janowitz, G.S.  1972.  The Effect of Finite Vertical  Ekman Number on the
Coastal Boundary Layers of a Lake.  Tellus, Vol.  24.

Koh,  R.C.Y.  and Y.P. Chang.  1973.  Mathematical  Model for Barged Ocean
Disposal of Wastes.  U.S. Environmental Protection Agency, Corvallis,
Oregon.  EPA-660/2-73-029.

Lamb, H.  1932.  Hydrodynamics.  Dover Publications.

Matsuno, T.  1966.  Numerical Integrations of the Primitive Equations  by
a Simulated  Backward Difference Method.  J. Met.  Soc. (Japan) 2:76-84.

Munk, W. H.  and  E.P. Anderson.  1948.  Notes on  the  Theory of the
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                                    134

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Oort, A.M. and A. Taylon.  1969.  On the Kinetic Energy  Spectrum  Near
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Paskausky, D.F.  1971.  Weather Circulation in Lake Ontario.   Proceedings
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Paskausky, D.F.  1973.  Two Dimensional Prediction of  Storm Surge on
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Paul, J.F. and J. Prahl.  1971.  Investigations of a Constant  Temperature
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Paul, J.F. and W. Lick.  1973a.  A Numerical Model for a Three-Dimensional,
Variable-Density Jet.  Proceedings 16th Conference on  Great Lakes
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Paul, J.F. and W. Lick.  1973b.  A Numerical Model for a Three-Dimensional,
Variable-Density Jet.  Technical Report.  Case Western Reserve University,
Cleveland, Ohio.

Paul, J.F. and W. Lick.  1974.  A Numerical Model of Thermal Plumes  and
River Discharges.  Proceedings 17th Conference on Great  Lakes  Research.
International Association for Great Lakes Research,   p. 445-455.

Paul, J.F.  1975.  A Note on the Vertically-Averaged Equations of Motion.
Case Western Reserve University, Cleveland, Ohio.

Peaceman, D.W. and H.H. Rachford.  1955.  The Numerical  Solution  of
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Phillips, N.A.  1957.  A Coordinate System Having Some Special Advantages
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Platzman, G.W.  1963.  The Dynamic Prediction of Wind Tides on Lake
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Policastro, A.J., and J.V. Tokar.  1972.  Heated-Effluent Dispersion in
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Proudman, J.  1953.  Dynamical Oceanography.  John Wiley and Sons, Inc.
                                    135

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Rao, D,B. and T.S. Murty,  1970.  Calculations of tbe Steady  State Wind-
Driven Circulation in Lake Ontario.  Arch. Meteor. Oeophys. Bio-
chira-  A 14
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Richtmyet, R,D, and K.W. Morton.  1967,  Difference  Methods  for  Initial-
Value Problems.  Interscience Publishers.

Roache, P,J, 1972,  Computational "Fluid Dynamics.  Hermosa Publishers*
Albuquerque.

Sheng, Y.P. and W. Lick.   1973.  Wind-Driven Currents  in  a Partially
Ice Covered Lake.  Proceedings 16th Conference on Great  Lakes  Research.
International Association  for Great Lakes  Research.  p.  1001-1008.

Sheng, Y,p, and W. Lick.   1975.  The Wind-Driven Currents and  Contaminant
Dispersion in the Near-Shore of! Large Lakes.  Case Western Reserve
University, Cleveland,

Simons, T.J.  1971.  Development of Numerical Models of  Lake Ontario.
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Simons, T.J,  1972.  Development of Numerical Models of  Lake Ontario.
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Simons, T.J. 1974.  Verification of Numerical Models of  Lake Ontario,
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523.

Simons, T.J.  1975.  Verification of Numerical Models  of  Lake  Ontario,
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Ocean.  5:98-110.

Simons, T.J.  1976.  Continuous Dynamical  Calculations of Water  Transports
in Lake Erie in 1970.  J,  Fish. Res. Bd. Can.  To be published January
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Smagorinsky, J. , G. Manabe and J.L. Holloway,  1965.  Numerical  Results
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Stoimnel, H. 1949.  Horizontal Diffusion Due to Oceanic Turbulence.
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                                    136

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Sundaram, T.R, and II. G. Rehm.  1970.  Formation and Maintenance  of
Thermoclines in Stratified Lakes Including the Effects of Power-
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Varga, R.S. 1962,.  Matrix Iterative Analysis.  Prentice-Hall,  Inc.

Wachspress, E.L.  1966.  Iterative Solution of Elliptic  Systems,
Prenctice-Hall Inc.

Waldrop, W.R. and R.C. Farmer.  1974a.  Three-Dimensional Computation  of
Buoyant Plumes.  J. Geophys.  Res.  79:1269-1276-

Waldrop, W.R. and R.C, Farmer,  1974b,  Thermal Plumes from  Industrial
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Welander, P. 1957.  Wind Action on a Shallow Sea.  Tellus 9:47-52.

Welander, P. 1961.  Numerical Prediction of Storm Surges.  Advances  in
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Welander, P. 1968.  Wind Driven Circulation in One and Two Layer Oceans
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Wilson, B.W.  1960.  Note on Surface Wind Stress Over Water  on Low and
High Speeds.  J. Geophys. Res.  65:3377-3382.

Witten, A.J. and J.H. Thomas.  1975.  Calculation of Steady  Wind-Driven
Currents in Lake Ontario with a Spatially Variable Eddy  Viscosity.
Abstracts.  Proceedings 19th Conference on Great Lakes Research,  Inter-
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Wurtell, M.G., J. Paegle and A. Sielecki.  1971.  The Use of  Open
Boundary Conditions with the Storm-Surge Equations.  Mon. Weather Rev.
99:537-544.
                                   137

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                                 SECTION X
                               PUBLICATIONS

1,  Gedney, R. and W. Lick.  1970.  Numerical Calculations, of the Steady-
    State, Wind Driven Currents in Lake Erie.  Proceedings 13th Conference
    on Great Lakes Reserach.  International Association for Great Lakes
    Research,  p. 829-838.
2.  Gedney, R.T. and W. Lick.  1971.  Numerical  Calculations of the Wind-
    Driven Currents in Lake Erie.  Case Western Reserve University,
    Cleveland.
3.  Gedney, R.T. and W. Lick.  1972.  Wind-Driven Currents in Lake Erie.
    J. Geophys. Res.  77:2714-2723.
4.  Gedney, R.T., W. Lick, and F.B. Molls.  1972.  Effect of Eddy
    Diffusivity on Wind-Driven Currents in a Two-Layer Stratified Lake.
    National Aeronautics and Space Administration, TN-D 6841.
5.  Gedney, R.T., W. Lick and F.B. Molls.  1973a.  Effect of Bottom
    Topography, Eddy Diffusivity, and Wind Variation on Circulation in
    a Two-Layer Stratified Lake.  National Aeronautics and Space Adminis-
    tration.  TND-7235.
6.  Gedney, R.T., W. Lick and F.B. Molls.  1973b.  A Simplified Strati-
    fied Lake Model for Determining Effects of Wind Variation and Eddy
    Diffusivity.  Proceedings 16th Conference on Great Lakes Research.
    International Association for Great Lakes Research,  p. 710-722.
7.  Haq, A, and W. Lick.  1975.  On the Time-Dependent Flow in a Lake,
    J. Geophys. Res.  80:431-437.
8.  Haq, A., W. Lick, and Y.P, Sheng.  1975.  The Time-Dependent Flow
    in Large Lakes with Application to Lake Erie,  Case Western Reserve
    University, Cleveland.
9,  Kuhlman, J.K.  1974. Laboratory Modeling of Surface Thermal Plumes.
    Ph.D. Thesis, Case Western Reserve University, Cleveland.

                                   138

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10,  Lick, W.  1976,  Numerical Modeling of Lake Currents.  Ann. Key.
     Earth and Planetary Sci.  Vol. 4.  To be published.
11.  Lick, W.,  J. Paul, and Y.P. Sheng.  1975,  The Dispersion of
     Contaminants in the Near-Shore Region,  In: Mathematical Modeling
     of Biochemical Processes in Aquatic Ecosystems (R. Canale. Editor).
     Ann Arbor Science, Ann Arbor.
12.  Paul, J.F, and J.  Prahl.  1971.  Investigations of a Constant
     Temperature Rectangular Jet.  Case Western Reserve University,
     Cleveland.
13.  Paul, J.F. and W.  Lick.  1973a.  A Numerical Model for a Three-
     Dimensional, Variable-Density Jet.  Proceedings 16th Conference
     on Great Lakes Research.  International Association for Great
     Lakes Research,  p. 818-830.
14.  Paul, J.F. and W.  Lick.  1973b.  A Numerical Model for a Three-
     Dimensional, Variable-Density Jet.  Case Western Reserve University,
     Cleveland.  Technical Report.
15.  Paul, J.F. and W.  Lick.  1974.  A Numerical Model for Thermal
     Plumes and River Discharges.  Proceedings 17th Conference on
     Great Lakes Research.   International Association for Great Lakes
     Research,   p. 445-455.
16.  Paul, J.F.  1975.   A Note on the Vertically-Averaged Equations of
     Motion.   Case Western Reserve University, Cleveland.
17.  Sheng, Y.P. and W. Lick.  1973.  Wind-Driven Currents in a Partially
     Ice Covered Lake.   Proceedings 16th Conference on Great Lakes
     Research.   International Association for Great Lakes Research.
     p.  1001-1008.
18.  Sheng, Y.P. and W. Lick.  1975.  The Wind-Driven Currents and Con-
     taminant Dispersion in the Near-Shore of Large Lakes.  Case Western
     Reserve  University, Cleveland.
                                  139

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                                  TECHNICAL REPORT DATA
                           (Ptt'asc read Imlnictions on the reverse bcfo'e completing)
  ni COOT ko'.
__EPA-600/3->6-_C)2g_	
4. TITLt AND SUBTITLE

  NUMERICAL MODELS OF  LAKE CURRENTS
             5, REPORT DATE
                                                           6. PERFORMING ORGANIZATION CODE
             3. RECIPIENT'S ACCESSiOWNO.
                  April 1976 (Issuing Date)
7. AUTHOR(S)

 Wilbert Lick
                                                           8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORG \NIZATION NAME AND ADDRESS
  Department of Earth  Sciences
  Case Western Reserve University
  2040 Adelbert Road
  Cleveland, Ohio   44106
             10. PROGRAM ELEMENT NO.

                 1BA026
             11. CONTRACT/GRANT NO.
                 R802359
12. SPONSORING AGENCY NAME AND ADDRESS
  Environmental Research Laboratory
  Office of Research  and Development
  U.S. Environmental  Protection Agency
  Duluth, Minnesota   55804
             13. TYPE OF REPORT AND PERIOD COVERED
                 FINAL
             14 SPONSORING AGENCY CODE

                 EPA-ORD
15. SUPPLEMENTARY NOTES
16. ABSTRACT
  As part of a research effort sponsored by  the U.S.  Environmental Protection Agency
  to study the dispersion of contaminants in near-shore areas of large  lakes,  we have
  developed numerical  models which are capable of  realistically describing  the currents
  throughout large  lakes and, in particular,  in  the near-shore regions  of  these lakes.
  This report summarizes our work to date on these, hydrodynamic models.

  In our work, the  emphasis has been on the  development and use of three-dimensional
  models.  Three basic models and applications of  these models are presented here.
  The models are:  (1)  a steady-state, constant-density model; (2) a time-dependent,
  constant-density  model;  and (3) a time-dependent, variable-density model.   Each
  model has its own limitations and has certain  advantages over the others.   Applica-
  tions of each model,  especially to flows in near-shore regions, have  been made and
  are discussed.  Vertically averaged models have  also been used by us,  usually in
  parametric studies,  and a brief summary of these models is also given.

  A list of all publications by us resulting from  or pertinent to this  project is
  given in Section  X of this report.
17.
                               KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
  Hydrodynamics
  Circulation
  Mathematical Models
  Lakes
                                              b.IDENTIFIERS/OPEN ENDED TERMS
 Wind Driven Circulation
 Models
 Thermal Plume Models
 Lake Erie
 Lake Michigan
                           c. COSATI I icId/Guup
                                                                             08H
19. DISTRIBUTION STATEMENT

  RELEASE TO PUBLIC
19. SECURITY CLASS (This Report)
 Unclassified
21. NO. OF PAGES
    152
20 SECURITY CLASS (This pa^ej
 Unclassified
                           22. PRICE
EPA Form 2220-1 (9-73)
                                           140
                                                                    US GQ'/ERNMENT PRINTING OFF(Ct 1976— f>

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