tidal and current prediction for the amazon's north channel using a
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Theses and Dissertations 1. Thesis and Dissertation Collection, all items
1975-09
Tidal and current prediction for the Amazon's
North Channel using a
hydrodynamical-numerical model
Ferraz, Luiz Antonio de Carvalho
Monterey, California. Naval Postgraduate School
http://hdl.handle.net/10945/21094
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TIDAL AND CURRENT PREDICTIONFOR THE AMAZON'S NORTH CHANNEL
USING A HYDRODYNAMICAL-NUMERICAL MODEL
Luiz Antonio de Carvalho Ferraz
DUDLEY KNOX LIBRARY^^NAVAL P0ST6RADUATI SCHOOL
MONTEREY. CALIFORNIA M940
JAVAL POSTGRADU
Monterey, California
p.ui %j %0
HTIDAL AND CURRENT PREDICTIONFOR THE AMAZON'S NORTH CHANNEL
USING A HYDRODYNAMICAL-NUMERICAL MODEL
by
Luiz Antonio de Carvalho Ferraz
September 1975
Thesis Advisor Stevens P. Tucker
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Tidal and Current Prediction for theAmazon's North Channel Using a Hydrodynamical-Numerical Model
5. TYPE OF REPORT ft PERIOD COVERED
Master's Thesis;September 19 7 5
6. PERFORMING ORG. REPORT NUMBER
7. AUTHOR!"*;
Luiz Antonio de Carvalho Ferraz
8. CONTRACT OR GRANT NUMBERf.)
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Naval Postgraduate SchoolMonterey, California 93940
10. PROGRAM ELEMENT. PROJECT TASKAREA ft WORK UNIT NUMBERS
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Naval Postgraduate SchoolMonterey, California 93940
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1). KEY WORDS (Continue on reveree elde It neceeeary end Identity by block number)
Hydrodynamical-numerical modelAmazon RiverNumerical modelTidal modelAmazon's tides
20. ABSTRACT (Continue on reveree elde It neceeeary and Identity by block number)
The hydrodynamical-numerical prediction model developed byW. Hansen is applied to the North Channel of the Amazon Riverfor computation of tides and currents; the results are com-pared with tidal prediction obtained by the harmonic methodand to actual current measurements. A medium size grid ofsquare mesh cells, 1800 m in length, represents the NorthChannel. The driving forces are the tides at the northern
DD I janM73 1473 EDITION OF I NOV 65 IS OBSOLETE
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opening of the channel near the river's mouth and the riverdischarge into the channel at the southern end. The numer-ical results for tides were verified at three tidal stations,and it was observed that the tides predicted at the northernpart of the channel agreed, in the worse case, within 12% ofthe tidal range, but those predicted at the southern endwere unsatisfactorily reproduced. This fact is attributedto the size of the grid which is too coarse to describeadequately the variable and irregular cross -sections andbottom topography at the southern part of the channel. Thepredicted currents were in acceptable agreement with the fewavailable measurements.
DD Form 1473 „ . . _. ,
. l Jan 73 Unclns.si f ion —S/N 0102-014-G601 SECURITY CLASSIFICATION OF THIS PAGEfWh.n D.(. Enf.r.d,
Tidal and Current Prediction for the Amazon's North Channel
Using a Hydrodynamical-Numerical Model.
by
Luiz Antonio de Carvalho FerrazLieutenant-Commander, Brazilian Navy
B.S., United States Naval Postgraduate School, 1974,
Submitted in partial fulfillment of the
requirements for the degree of
MASTER OF SCIENCE IN OCEANOGRAPHY
C.I
DUDLEY KNOX LIBRARYNAVAL POSTGRADUATE SCHOOLMONTEREY, CALIFORNIA 93940
ABSTRACT
The hydrodynamical-numerical prediction model developed by
W. Hansen is applied to the North Channel of the Amazon River
for computation of tides and currents; the results are compared
with tidal prediction obtained by the harmonic method and to
actual current measurements. A medium size grid of square mesh
cells, 1800 m in length, represents the North Channel. The
driving forces are the tides at the northern opening of the
channel near the river's mouth and the river discharge into
the channel at the southern end. The numerical results for
tides were verified at three tidal stations, and it was ob-
served that the tides predicted at the northern part of the
channel agreed, in the worse case, within 12% of the tidal
range, but those predicted at the. southern end were unsatis-
factorily reproduced. This fact is attributed to the size of
the grid which is too coarse to describe adequately the var-
iable and irregular cross -sections and bottom topography at
the southern part of the channel. The predicted currents were
in acceptable agreement with the few available measurements.
TABLE OF CONTENTS
I. INTRODUCTION 13
A. REVIEW 13
B. OBJECTIVE 14
II. DESCRIPTION OF THE NORTH CHANNEL OF THEAMAZON RIVER 16
A. GENERAL -- 16
B. CHARACTERISTICS OF THE TIDES AND CURRENTSIN THE AMAZON RIVER 17
C. THE AREA OF STUDY 18
III. THE HANSEN HYDRODYNAMICAL MODEL 21
A. ASSUMPTIONS AND BASIC EQUATIONS 21
B. FINITE DIFFERENCE EQUATIONS 23
C. GRID SELECTION 28
D. INPUT OF TIDES AND RIVER DISCHARGE 29
E. TUNING THE MODEL 34
F. MODEL 34
IV. DISCUSSION 58
V. SUMMARY 63
APPENDIX A: NUMERICAL PROGRAMS 64
BIBLIOGRAPHY 81
INITIAL DISTRIBUTION LIST 83
LIST OF TABLES
I. Compilation of Some Discharge Measurements andInvestigations in the Amazon River and Estuary 32
II. Current Velocity and Direction Predicted at theThree Tide Stations by the HN-Model 37
III. Computer Output for Water Elevation and ResultantCurrent Velocity and Direction in 12 SelectedLocations 54
LIST OF FIGURES
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
North Channel of the Amazon 19
Grid Net Scheme 24
Grid Net Laid over the North Channel of the Amazon 30
Amazon River Cross-Section near Macapa,Looking Downstream 33
Tuning the Model 35
Current Velocity at the Three Tide Stations 38
(a
(b
(a
(b
(a
(b
(a
(b
(a
(b
(a
(b
(a
(b
(a
(b
(a
(b
Currents in the North Channel after 75 Hours 41
Currents in the North Channel after 76 Hours 41
Currents in the North Channel after 77 Hours 42
Currents in the North Channel after 78 Hours 42
Currents in the North Channel after 79 Hours 43
Currents in the North Channel after 80 Hours 43
Currents in the North Channel after 81 Hours 44
Currents in the North Channel after 82 Hours 44
Currents in the North Channel after 83 Hours 45
Currents in the North Channel after 84 Hours 45
Currents in the North Channel after 85 Hours 46
Currents in the North Channel after 86 Hours 46
Currents in the North Channel after 87 Hours 47
Currents in the North Channel after 88 Hours 47
Currents in the North Channel after 89 Hours 48
Currents in the North Channel after 90 Hours 48
Currents in the North Channel after 91 Hours 49
Currents in the North Channel after 92 Hours 49
16. (a) Currents in the North Channel after 93 Hours 50
(b) Currents in the North Channel after 94 Hours 50
17. (a) Currents in the North Channel after 95 Hours 51
(b) Currents in the North Channel after 96 Hours 51
18. (a) Currents in the North Channel after 97 Hours 52
(b) Currents in the North Channel after 98 Hours 52
19. Currents in the North Channel after 99 Hours 53
20. Prediction of Tides at Limao do Curua 55
21. Prediction of Tides at Acaituba 56
22. Prediction of Tides at Macapa 57
TABLE OF SYMBOLS AND ABBREVIATIONS
cm centimeter
cm 2 square centimeter
cm 3 cubic centimeter
cm/sec centimeter per second
cm 2 /sec cubic centimeter per second
d total difference
F friction force
f Coriolis parameter
g acceleration of gravity
H total depth (H = h + c)
h depth of water at mean water level
HM harmonic method of prediction of tides
HN hydrodynamical-numerical prediction model
hr hour
HTU,HTV depth at U- and V- grid points
HT high tide
HTZ symbolic depth at Z-grid points
K coefficient of horizontal kinematic eddy viscosity
km kilometer
km 2 square kilometer
L characteristic length
I length of the mesh
LT low tide
M,N orgrid coordinates
m meter
m 2 square meter
m 3• cubic meter
m 3 /sec cubic meter per second
n mile nautical mile
NE, ME grid delimeters
NEH, MEH near border grid coordinates(NEH = NE - 1, MEH = ME - 1)
p hydrostatic pressure
R bottom roughness coefficient
r coefficient of bottom friction
t time
u, v velocity components
U, V mean u and v components
V total velocity vector
Wf >. , W, >. wind speed components
X,Y or x,y space coordinates
Z, U, V grid points
a smoothing parameter
B 1 - a
6 partial difference
Y specific weight
X drag coefficient
c, water level anomaly
p density of the fluid
t wind stress
t° bottom stress
10
a) earth angular velocity
A difference, also, in figures, represents tide station
At half-time step
V 2 |^r + ^yr (Laplacian)
11
ACKNOWLEDGEMENT
I wish to express my sincere thanks to everyone who has
assisted in the preparation of this study, in particular to
the personnel of the Department of Oceanography of the Envi-
ronmental Prediction Research Facility, especially to Dr.
Taivo Laevastu, Mr. Kevin Rabe, and Mr. Arthur D. Stroud.
Finally to Dr. Stevens P. Tucker, my thesis advisor, my
gratitude for his patience, understanding, translation of
German references and bibliography and for his constant con-
structive criticism that greatly contributed to the completion
of this project.
12
I. INTRODUCTION
A. REVIEW
Pressure gradients are the dominant mechanisms in rivers,
narrow estuaries and some lakes which are opposed by friction
[21]. In large scale circulation the opposing forces are com-
binations of friction and the Coriolis force or the latter
alone.
Hydraulic models have been used for many years to reproduce
the physical characteristics of rivers and have proven to be
reliable, but space and operating problems make them a rela-
tively expensive tool of investigation. The appearance of high
speed computers made possible the numerical solution of the
differential equations used to describe flow. A physical model
can be transformed into a program which may be modified easily
to simulate different conditions and may be stored for future
utilization and alteration, thus allowing solutions to be ob-
tained rapidly and at a reasonable cost.
The hydrodynamical-numerical method developed by W. Hansen
makes it possible to determine the motion in oceanic areas, in
adjacent and marginal seas, in shelf areas as well as in estu-
aries and rivers [15, 18]. In many cases the method has been
applied successfully to the quantitative reproduction of tides
and storm surges. The numerical treatment of the hydrodynamical
equations requires the bathymetry, boundary geometry, and
meteorological and density structure to be considered.
13
This model has been applied to rivers such as the Eider,
the Ems and the Elbe, in Germany [9, 17, 18]. The Eider is a
tidal river in northern Germany with very irregular cross-
sections and a remarkably irregular depth distribution. Ap-
plication of the HN-model with a very fine mesh, to approximate
the cross-sections by a number of parallel canals of differing
width and depth, produced good results with a maximum deviation
of 30 cm between computed and observed tides, which is less
than 10% of the tidal range. Later computations with improve-
ments in the longitudinal direction from grid point to grid
point made it possible to reduce the deviations between the
computed and observed values to below 3.5 cm, which was about
II of the tidal range [17]. Similar applications of the HN-
model were made to the Ems and the Elbe, and the results were
in all cases of the same order of magnitude. For the Elbe
the differences were smaller than 2 cm [9, 17].
In this study the hydrodynamical-numerical prediction model
of Hansen is applied to the Amazon's North Channel and the
results are compared to field observations.
B. OBJECTIVE
The objective of this thesis is to predict by means of the
Hansen hydrodynamical-numerical model tides and currents which
exist in the North Channel of the Amazon River during an inter-
mediate river stage and to compare the numerical results with
available field measurements. The computed tides are compared
to prediction by harmonic method at three tide stations along
the channel and the currents arc compared to field observations
at selected locations.
14
A medium size square mesh grid is used to represent the
North Channel's configuration and bottom topography. The
numerical results will provide means of evaluating this rep
resentation in terms of grid size as well as of the merits
and limitations of the HN-model.
15
II. DESCRIPTION OF THE NORTH CHANNEL OF THE AMAZON RIVER
A. GENERAL
The Amazon River is located in South America, where it begins
its eastward flow from a chain of glacier-fed lakes in the Andes
Mountains in central Peru. It emerges from the eastern foothills
of the Andes, sweeps through the world's largest tropical rain
forest, and discharges into the Atlantic Ocean on the northern
coast of Brazil. En route to the Atlantic the river drains
about 7 x 10 6 km 2 of land, receiving the flow of over 200 tributaries,
The Amazon is the world's largest river in terms of drainage
area and discharge. Its discharge is subjected to seasonal
fluctuations. Two periods are generally considered: (1) that
from April to June, the rain season or the high water stage;
and (2) that from October to December, the season of low pre-
cipitation or low water stage.
Investigations and measurements made by the University of
Brazil, the Brazilian Navy, and the U.S. Geological Survey in
1963 and 1964 produced some astonishing numbers for the flow
of the river. The flow at Obidos (some 850 km from the mouth)
during the high stage measured about 216,000 m 3/sec, during low
stage about 72,500 m 3/sec, and during an intermediate stage,
164,520 m 3/sec. The average flow, estimated for the discharge
into the Atlantic Ocean, was slightly over 175,000 m 3/sec [2,19,20].
The river is generally deep, and in more than ten locations
depths greater than 100 m have been found. The width of the
16
channel ranges from about 2 km at its narrowest up to about
10 km in some places, with long sections having intermediate
values [2 , 19]
.
Gibbs [12] and Diegues [3] have shown that the Amazon waters
spread over the Atlantic Ocean in a variable layer, 10 to 20 m
thick, under which the oceanic water progresses towards the
shore. Gibbs [12] showed that during the high stage of the
river a vertical stratification ranges out over the continental
shelf, to distances of 80 to 230 km from the mouth, and during
the low stage it ranges out to 60 to 185 km. However, all
vertical isohalines indicative of turbulent mixing are limited
to the mouth of the river, and there is never penetration of
salt water into the river as occurs in some types of estuaries
[12, 13].
B. CHARACTERISTICS OF THE TIDES ANDCURRENTS IN THE AMAZON RIVER
The Amazon River seems to have the longest river tide- zone
in the world [1]. Tides are observed up to the vicinity of
Santarem harbor, some 800 km from the river's mouth, but during
extremely low flows tidal effects have reached upstream to
Obidos. The tides are of semidiurnal type with a maximum range
of about 5 m. Field measurements indicate that the tidal vari-
ation decreases upstream.
Tides and river flow combine to produce strong currents in
many sites upstream. The North Channel (Fig. 1) has a single
main entrance from the sea, but numerous small tributaries and
channels also offer secondary connections to the ocean.
17
In many of these channels a tidal bore is a peculiar character-
istic.
Franco [8] characterizes the current in the North Channel
in the vicinity of Macapa as "alternating-axial" (rectilinear
or reversing), that is, the alternating current component
superimposed on the main downstream river flow is maximum up-
stream during the high water, maximum downstream during the
low water and it is zero when the tide is at the mean water
level. There is a relatively strong permanent current down-
stream due to the enormous discharge of the river.
C. THE AREA OF STUDY
The Amazon discharges into the Atlantic in two branches.
The present study is limited to a region of the upper branch
which constitutes the North Channel, extending some 147 km from
the mouth. This channel is the navigable waterway from the
river's mouth to the ports of Macapa and Santana in the
Brazilian Federal Territory of Amapa (Fig. 1).
The Port of Santana is utilized mainly by the large vessels
that carry manganese ore extracted from the mines of Serra do
Navio, inland of Amapa. Navigation in the North Channel is
somewhat difficult due to natural conditions in the river, such
as enormous floating trees, sometimes attached to floating
grass "islands," pulled down from the adjacent margins by ero-
sion, strong currents, and a large tidal variation. The harbor
at Santana is of the floating type to compensate for the large
tidal range and for the seasonal fluctuations of the river
level. The port of Macapa consists mainly of a wharf where
18
19
small vessels and typical river boats load and unload passengers
and light cargoes.
The Channel is generally oriented in a SW-NE direction, has
an average depth of 20 m and is never narrower than 5.5 km. In
some places, as in the vicinity of Macapa, the configuration of
the river bed is quite variable, with irregular cross-sections
and bottom topography. The bottom is composed mainly of mud
and sand, and the banks and bars along the river are also of
these materials.
A tidal bore does not manifest itself in the North Channel,
but in the shallow sites near the mouth of the small tributar-
ies and channels discharging into the main river bores are of
very common occurrence.
20
III. THE HANSEN HYDRODYNAMICAL MODEL
A. ASSUMPTIONS AND BASIC EQUATIONS
The assumptions leading to a Hansen-type hydrodynamical
model are the following:
1. The fluid is homogeneous and incompressible;
2. Pressure is hydrostatic, and thus the changes in pressureare due solely to changes in water surface elevation;
3. Advection terms are neglectable;
4. The fluid is in hydrostatic equilibrium in the verticaldirection; and
5. The geographical and vertical variations of the Coriolisforce may be neglected.
The basic equations for the single layer hydrodynamical
model developed by Hansen follow from the application of these
assumptions to the equations of conservation of momentum.
Reference [10] presents the derivation of the equations.
Horizontal momentum equations are integrated over depth
to give:
«U . fV = - g II KV*U - I^El + l£l + X (1)
|V + a . . g |i + Kv2y . I^izl + lizl + Y (2)
fe |_CHU) + 6 (HV) . (3)6t 6x 6y
The wind stress components are represented by:
21
T, , = AW [W 2 + W 2]
! /2
(x) x L x y J
T r ,= XW [W 2 + W 2
]
1 / 2
(y) yL x y
J
(4)
(5)
The bottom stress components are given by
xb(x) = rU [U
2 + V 2]
1 /2
Tb(y) = rV [U
2 + V 2]
1/ 2
(6)
(7)
The various terms in the above equations being defined as:
K = coefficient of horizontal kinematic eddy viscosity
X = drag coefficient
W ,W = wind speed components
C = surface elevation
H = total depth (H = h + ?)
g = acceleration of gravity
f = Coriolis parameter
x,y = space coordinates
X,Y = components of external forces
U,V = water velocity components
( u = i/hudz >v irjvdz )
r = bottom friction coefficient
V =6
+6
Jx Zy
The equations for bottom friction and wind stress are
empirically developed. The wind stress terms as used in the
model are assumed to be quadratic expressions in wind velocity,
where A is the wind drag coefficient with a typical value of
22
3.2 x 10" [6, 7, 10]. The bottom stress is assumed to be
nonlinearly dependent on U and V, and like the wind stress
it was derived by empirical means. It was originally formu-
lated for a shallow water application and the use of this
value for deep water is questionable, since it probably should
be smaller in such an application. The value of r for this
particular case was recommended by Laevastu (personal commun-
ication) as 2.8 x 10 to 3.0 x 10
B. FINITE DIFFERENCE EQUATIONS
The differential equations are solved by a "leapfrog" or
central-difference scheme for time dependent solutions. At
the boundaries the values of the velocity components and sur-
face elevation are taken at actual points rather than from the
surrounding points as shown in Fig. 2.
The driving forces are the tides at the open boundaries
and the wind at the surface over the entire field. The tidal
values are computed at each time step and introduced as new
values of £ at each point on the boundary.
The finite-difference form of the equations is given below.
Using the equation of conservation of mass, the water elevation
is first calculated:
Ct + T (n,m) = c
t_T(n,m) - X[H*(n,m) U
t(n,m) - H*(n,m-1) U^n.m-l)
+ H^Cn-^m) Vt(n-l,m) - H*(n,m) V
t(n,m)] (8)
23
CN
O
E>.(A
o3
UD
D
>-Ctf
<
OCO
LU
zoi
M
00
zo
O —
0-
CM *-
I 9 1
2"h—I
—
k—I
—
A ^
©—I—e—|—©ro^-Z
24
The horizontal and vertical velocity components are then
determined from the respective horizontal and vertical momentum
equations
:
Ut+2x
(n,m) = [1 - (2xr/ h£+2t
(n,m) ) (Ut(n,m) 2 + V* (n ,m)2 )
1Aut(n ,m) ]
+ 2x^(^171) - I^[c
t+T(n,m + 1) -
Ct+T (n,m)]
+ 2TXt+2x
(n,m) (9)
Vt + 2T
(n,m) = [1 - (2xr/ H^+2
fn ,m) ) (V* (n ,m) 2 + Ul(n ,m) 2
) & V1(n,m) ]
- 2TfU t(n,m) - L% t+T
( n ,m) - Ct+T
(n+1 ,m)
]
+ 2TYt+2T
(n,m) (10)
where:
U^n.m) = aUt(n,m) + ^ [U
t(n-l,m) + U
t(n+l,m) + U
t(n,m+1)
+ Ut(n,m-1)] (11)
V (n,m) and t> (n,m) have expressions analogous to U (n,m),
Ut(n,m) = j [U
t(n,m-1) + U
t(n+l,m-l) + U
t(n,m) + U
t (n+l,m)],
*t *t (12)and V (n,m) is similarly analogous to U (n,m).
The time step is 2t . The total depth Hu
or Hy
at u- or
v-points is computed as:
H1 * 2T
,(n,m) = h (n,m) + I U t+T(n,m) + C
t+T(n,m + 1)] (13)
u (or v) K> u KI
The effects of wind are computed by:
25
t At t 2 t 2 1/ 1 (5px* - £**[(**] up ]A - I«| (14]
Yt
=H W
y [("x)2+
C*y>Y* " £|f (15)
where P is the barometric pressure. It is assumed that the
pressure gradient is zero for small areas and normal conditions
The stability of the finite-difference scheme is governed
by the Courant-Friedrich-Levy criterion which states that the
maximum length of the time step is determined by the grid size,
£, and maximum depth, Hmax
At =
*/2gH (16)& max * *
For this particular grid, a value of 30 seconds was used for
the one-half time step, At.
When the computational area contains small regions of great
depth, a "false-bottom" can be used in these sections [7], For
example, areas deeper than 500 m may be assumed to be 500 m
deep. This will often result in a considerable increase in
time step or a decrease in the grid length if total computa-
tion time is a critical factor. Experimental results have
shown that the errors introduced with this procedure are
acceptable in some cases for practical applications of the
model
.
The grid net is formed by three different sets of points
as shown in Fig. 2, the water elevation (Z-points) and the
two components of the velocity (U- and V-points) . Each of
these points has the same coordinate designation (N,M)
.
26
The coastline must pass through the U- and V-points and never
through the Z-points. The program reads the values of the
depth at U- and V-points as HTU and HTV, respectively.
The Z-points are for water, land and coast designation,
being read by the program as HTZ . They are treated symboli-
cally as 1, and -1 respectively. The HTU and HTV show the
chart depth in centimeters, while the coastline is symbolized
by -1 and the land by 0, depending on their location in the
grid. At the open boundaries the points HTZ have symbolic
values of -2 and -3 for the first and second boundary when
applicable. Outside these boundaries, values of for HTZ
are prescribed.
The coefficient of horizontal kinematic eddy viscosity is
related to the values of the U and V components. Hansen states
that the computations are always stable for values of $ =
(1 - ot) between and 0.5. This coefficient can also be used
as a tuning factor: the higher the value, the smoother the
current velocity distribution. In areas where the depth
distribution is irregular, as in this case, accelerations and
surface irregularities appear in the model. These abnormalities
can be corrected for by means of a proper smoothing of the
bottom or of the water surface elevation; in this model this
is accomplished by smoothing the water surface elevation, which
is a numerical artifact of the model.
In finite-difference form, the coefficient of horizontal
kinematic eddy viscosity is given by the relation:
K = A£ 2(1 - q)
4 At
27
For this model with a value of alpha equal to 0.983 recommended
by Laevastu (personal communication), K becomes 0.46 x 10"
cm 2 /sec .
•
High values of alpha must be used with caution, because
these can allow undesirable oscillations in the model. Also,
if too low a value is used to provide higher smoothing, the
current velocity may be overly damped.
As was pointed out in the assumptions of the Hansen model,
the mean advective terms, u.6u./<5x., have been neglected. This*
j i j&
is not necessarily a good assumption as these terms can be the
same order of magnitude as the local acceleration terms, 6u./<5t,
In the derivation of the time averaged equations of motion, the
turbulent contribution of the advective terms, as expressed by
the Reynold's stresses, have been included using the lineariz-
ing eddy diffusivity approximation. Hence, the non-linear
effects are not included but the amplitude effects of the
advective terms are included by the eddy diffusivity approx-
imation.
C. GRID SELECTION
The grid size is selected upon requirements of detail and
accuracy and the availability of computer core memory and time.
There is not a general rule for selection of the grid mesh,
but for open areas and round smooth bays, where the expected
values of current velocity and direction fields are smooth, a
fine mesh is not necessary, but for areas where the topography
is of primary importance, or in narrow channels, a fine mesh
may be required for reliable results.
28
For this particular model, a medium size grid was initially
considered satisfactory (see discussion on page 61 below).
Decreasing the size of the mesh will result in an increase of
time and computer memory. A 24 x 65 unit array of square mesh
cells having sides 1800 m in length was laid over the North
Channel of the Amazon River as it is represented in the Brazilian
Nautical Chart No. 220 (BRASIL - RIO AMAZONAS, carta 220 "Da
Barra Norte ao Porto de Santana," DHN - Rio de Janeiro)
.
Experiments performed at the Environmental Prediction
Research Facility (EPRF) have proven that there is not much
increase in accuracy for smaller grid size; for example, a
model for the San Diego Bay was run under three different
meshes, and except in computation of advection and dispersion
of pollutants, no significant differences were recorded between
fine and coarse grids.
D. INPUT OF TIDES AND RIVER DISCHARGE
The tides in this model were inputed at the northern opening
in the grid which was chosen and oriented such that the closest
tidal station in that location lay over or near a grid-point,
along the M = 2 grid line. This tidal entrance is parallel
to the y- coordinate.
The tides at the station LIMAO DO CURUA (Fig. 3) were
introduced with seven components, M2, S2, N2, K2 , L2, Kl and
MS4. Two other tide stations provide means of comparison for
the tides predicted by the HN-model: ACAITUBA and MACAPA,
58 km and 142 km upstream, respectively. Usually only four
components are introduced in the model, but the values of the
29
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H<
2<i—
(
Jt—
i
PQ
WacH
QWE->
WcowPi
wPi
co
H
CJ
t—i
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o
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I
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30
seven constituents introduced in this particular case were
considered quite significant.
The river discharge was inputed as permanent current,
averaged from the bottom to the surface, in a cross-section
near Macapa along the y-grid line at the southern end of the
grid. This input boundary was left open to insure continuity.
There is no adequate measurement of the river discharge
in the North Channel at the present time. There are, however,
some estimates and calculations of the river discharge at
Macapa and at the mouth and some current measurements made by
the Brazilian Navy for navigation purposes. Table I shows a
compilation of the more recent investigations and measurements
for the Amazon's discharge.
The flow of the Amazon is seasonal and can be correlated
with precipitation in the entire Amazon region. Diegues [3]
states that during the year the variation of the level of the
river is quite sufficient, the water level being closely re-
lated to precipitation in the Amazon Basin to a large degree
and the melting of snow in the Andes Mountains to a small
degree. Such variations are periodic and follow a yearly
cycle.
The value used for this model is an estimated averaged
value for Macapa, 175,000 m 3 /sec, and it is most generally
accepted. Such value which is expected to represent the mean
or intermediate stage for the river was distributed over the
cross-section in Macapa, as shown in Fig. 4, to produce the
mean velocities (permanent downstream flow) to be inputed in
grid points, in a manner similar to that described by Dronkers [4].
31
""vf «* -3-
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00 co CO #* 9t ^ COvo vO \£D rH rH CN] <N] i—
i
vO<D en cn CT) 03 03 r-- r-- 03 cnO i—
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t—
1
rH cn cn rHP P +-» r-i rH P3 •v n 9k CD CD CD •»
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s S s M Cn] ,Q XI tsj eP p p 3 3 X) pQ 3 +->
rH rH rH o O •H •H O rHO O O CO CO CD o CO O
(D
to o O O "St O o CO CDP O o CD o o CD o r-- Oo3 <L) o lo o rH LO ** to OrC </) *l a •1 #* 1 9k #\ •t 0k
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to tO «* tO tO Q> o3
vO vO mo vO VO x: s<d 1 i 1 I 1 r- r-» to to +-> •H4-> *o CD en CD cni vO sO vO •o +-1
crj r-( Csl rsj cn) cn cn cn en 4-> (A>
Q 1 1
rHrH
i
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32
± <
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ro
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33
E. TUNING THE MODEL
Tuning the model is a matter of patience. Several runs of
the program were made with different combinations of alpha and
the bottom friction parameter. After each run both the water
elevation and currents were compared to harmonic method and
current measurements available. The model is left to run for
some hours of real time with these combinations of parameters
until stability is attained.
In general, the model appears to be rather insensitive to
variations in the bottom friction coefficient, but it responds
quickly to small variations in alpha. The behavior of the tidal
curve at the same location for two different values of alpha
(a = 0.980, a = 0.975) and two different values of bottom fric-
tion parameter (r = 0.0028, r = 0.0030), is illustrated in Fig. 5
When changing alpha the bottom friction parameter was maintained
constant and vice-versa.
Due to a lack of adequate current measurements in the North
Channel the model was mainly adjusted for the tides, and the
velocities of the currents were considered satisfactory when
the tide agreement was reached and the currents approached the
values and directions of the few available observations.
F. MODEL
The calculated currents behave as described by Franco [8],
that is, they are what is termed "alternating-axial" or some-
times "rectilinear" or "reversing." The maximum downstream
velocities appear at low tide (LT) and they are greater at the
first LT than in the second. Similarly, maximum upstream
34
o inoo r^CD <J)
o ooCO C\J
o oo o
in
UJDC
Do
II 1
1
JZ
'xO-o
II
if
7
/f o"0^
f
"00
11 f^ 1
1 1 1 I
8CvJ
o oo o1
<>J
o oo oCM T—
HID
O
UU3
OO
OO
wH-
1
CJI—
I
PL,
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oHcjI—
I
«:Ph
wac
Q<QWCD
<accj
co
<aca,
<
>o<
JWQO
wan
CJ
i—
i
anH
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Q<H<HCO
OCJ
CO
<a.
<
oweq
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OCJ
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<H2
CO
35
velocities occur at the high tide (HT) . Slack water corresponds
to the crossings of the mean level.
At the grid points representing the tidal stations, the
respective maximum and minimum predicted values of current were
as follows:
(1) At Limao do Curua, grid coordinates (17,2), 196 cm/sec
and 183 cm/sec for the first and second LT and 162 cm/sec and
157 cm/sec for the first and second HT. The direction changed
from 062° (downstream) to 242° (upstream)
.
(2) At Acaituba, grid coordinates (11,26), 115 cm/sec and
107 cm/sec for the first and second LT and 90 cm/sec and 87
cm/sec for the first and second HT. The direction changed from
032° (downstream) to 210° (upstream)
.
(3) At Macapa, grid coordinates (7,63), 62 cm/sec and 60
cm/sec for the first and second LT and 42 cm/sec and 40 cm/sec
for the first and second HT. The direction changed from 024°
(upstream) to 201° (downstream)
.
At these locations a phase lag of about 40 minutes between
the instant of the high tide and low tide and the peak of the
current is observed, but it is possible that this lag may be
smaller, since the output of one hour interval of the program
did not allow a precise determination of the exact instant of
the low and high tide (Table II).
Figure 6 shows a plot of the current velocities at the
three mentioned tide stations for the last 24 hours for a
simulated 100 hours (real time) run of the program.
36
TIME LIMAO DO CURUA ACAITUBA MACAPA
VEL DIR VEL DIR VEL DIR
cm/ sec cm/sec cm/ sec
76 73 242 80 210 40 196< :ht77 11 062 43 211 42 220
78 100 061 11 027 33 206
79 165 062 60 031 13 202
80 196 062<;lt91 031 21 029
81 192 063 109 032 43 026
82 151 061 115 032< LT54 025
83 75 062 103 032 60 024<:lt
84 29 242 65 033 62 024
85 121 242 12 203 58 024
86 162 242<:ht71 209,^HT
41 024
87 150 240 90 209 5 174
88 98 242 84 210 32 194
89 25 242 58 210 40 201<:ht
90 60 061 13 213 36 206
91 132 062 41 030 21 200
92 174 06 0<. LT
76 031 9 049
93 183 062 97 031 35 029
94 158 062 107 032 <It 49 027
95 98 062 103 032 56 026<LT96 6 060 76 032 60 026
97 93 240 16 037 58 026
98 151 24 2<HT 56 209 47 027
99 157 242 86 209 12 043
100 118A .
242 87 210 25 194
TABLE II - Current velocity and direction predicted by the
HN-model at the three tidal stations. The left-hand columnindicates the last 24 hrs of a 100-hr (real time) computerrun. The right-hand columns indicate the approximate time
of the low tides (LT) and high tides (HT)
.
37
200^_LIMAO DO CURUA
N
-200U TIME (hr)
ACAITUBA
- 150 TIME (hr)
MACAPA
TIME (hr)
CURRENT AT TIDAL STATIONS
FIGURE 6
38
Plots of the currents in the North Channel are shown in
Figs. 7 (a,b) through 19 in which the currents are scaled so
that 1 cm corresponds to 157 cm/sec and the arrows indicate
the directions. The full lines on the graphs represent the
symbolic boundaries, the triangles represent the location of
the tidal stations, and the ellipses the location of selected
points. (It should be noted that the plotting subroutines used
for these plots are not included in the program of Appendix A.)
The water elevation and the resultant current velocity at the
selected points are shown in Table III, which is a reproduction
of the computer output for the special points.
The tides predicted by the model are shown in Figs. 20
through 22 for the last 24 hours of a simulated 100 hours (real
time) period. In these figures is included the difference
between the prediction by the numerical model (HN) and the
prediction by harmonic method (HM) . For Limao do Curua (Fig.
20) the maximum difference was 19 cm which represents 4% of
the tidal range and a phase lag of less than 30 minutes is
observed only at the first LT. For Acaituba (Fig. 21) the
maximum difference was 41 cm which represents 11.7% of the
tidal range but a phase lag of about 20 minutes is observed
between the HN and HM prediction. This can be partially
explained by the fact that the actual tide station lies in
much shallower water than the closest grid point chosen to
represent it and also because the distance from this grid
point to the station is about 2 km.
39
For Macapa (Fig. 20) the results were not satisfactory.
An attempt to improve the results, by smoothing the bottom,
resulted in the curve labeled HN1 in the figure, but further
attempts were abandoned because they would not be realistic
with the actual mesh size.
40
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125.6;
.,271,
TABLE II
CurrentI. Computer Output for WaterVelocity and Direction in 12 S
Elevation and Resultantelected Locations
54
o
Z XX X
Z XX X
<Don
DuOoO<X
I I L . I L
/
J I I
o o a
(™) 1H9I3H HWH- NH
55
z 21
1
Z XI I
CMUJ
=>
CO
D
<<
oco -U
I L J I
i"1) 1H9I3H (iamo) WH-NH
5 6
I I
z 2 zx x x
CNCM
D
<<<2
UJ
o"eo
("0 1H9I3H
57
IV. DISCUSSION
Before discussing the results obtained upon applying the
hydrodynamical-numerical prediction model developed by Hansen
to the Amazon's North Channel, it is worthwhile to recall some
of its properties or characteristics.
The model represents topographic features in terms of grid
points. To obtain a good bathymetric representation a small
mesh is required, which may sometimes lead to an extremely large
array. It is therefore necessary to compromise between spatial
resolution and the amount of computer core memory and time
available
.
The time resolution is also dependent upon availability of
computer time; in general, the smaller the time step the greater
the computer time required.
The flow is described by finite difference methods of solu-
tion of the equations of motion, which include terms of differ-
ent orders and degrees, each one describing specific characteristics
of the flow. These depend on the external forces applied, loca-
tion, shape, bathymetry and properties inherent to the fluid.
In describing the flow by these equations, it happens that some
of the terms become dominant, so that others can be neglected
or included in parameters such as K. In addition, Hansen's
model neglects the advective non-linear terms, which appears
not to cause problems if medium or coarse grids are used but
seems to be significant for small grids, as mentioned before.
58
The finite difference method of solution of the equations
of motion makes continuous computation impossible. The calcu-
lations are performed by time and spatial increments which can
lead to enormous errors if the proper precautions are not taken.
One example is that of the eddy diffusivity coefficient, which
is affected directly by the grid size and the time step since
it is defined in terms of spatial and temporal steps.
The action of viscosity in fluids is of a complicated nature
It may be assumed for the water motion in almost all tidal
channels that a complete state of turbulence occurs, so that
the flow is practically independent of the exact- value of the
Reynold's number. Because of the mathematical difficulties
involved, the general equations of fluid motion, which include
the viscous forces, are not generally solved in applied hydro-
dynamics. However, the result obtained by completely neglecting
the bottom friction is, only under the most favorable circum-
stances, a satisfactory approximation to the actual fluid
motion. Therefore, to determine the flow conditions in a
channel, the influence of friction cannot be neglected [4].
To include friction, because the velocity varies in the
horizontal as well as in the vertical directions in the cross-
sections of the channel, there remains only the possibility
of experimentally determining it by tuning the model so that
predicted values match as closely as possible the observations.
In tidal channels and inland rivers, the river beds are
usually irregular and form hydraulically rough surfaces, tur-
bulence being generated by the irregularities of the bottom.
59
At the bottom the velocity is zero and increases in the
vertical direction until it reaches a maximum value at some
distance from the free surface. From this point to the sur-
face the velocities decrease slightly. Observations in very
wide channels have shown that the sides of the channel have
practically no influence on the velocity distribution in the
central region [4]
.
In engineering and practical problems the determination
of the mean velocity in a cross-section is usually sufficient,
thus making it necessary to have a relationship between the
mean velocity and the frictional forces.
Hansen's model assumes that the bottom stress is directly
dependent on U and V but only indirectly on X and t, and the
same constant friction coefficient is used in all computations
(for this case r = 0.0029).
Finally, the setting of the boundaries and the representa-
tion of the coast line and margins is also a matter of personal
judgement, and because of this, often the representation of the
real boundaries along the grid-points is somewhat difficult and
may be questionable.
For our particular case, some facts have contributed to
make adequate conclusions impossible. First, the river dis-
charge is inputed as a permanent flow using an estimated value,
because at the present time there are no available measurements
of the discharge in the Amazon's North Channel. The distribu-
tion of the mean velocities in the cross -sect ion was made at
only five grid-points which received relatively large values,
clearly affecting the resolution.
60
Second, there is insufficient adequate current measure-
ments to provide a better adjustment of the predicted current
velocities, either for the improvement of the estimated river
discharge, neither for posterior verifications.
Third, the only tidal station in the middle portion of the
Channel, ACAITUBA, had its constituents determined in a very-
short period of time, and the harmonic prediction for that
station, using only few constituents, certainly is not the
best. Furthermore, as mentioned before, this station is lo-
cated about 2 km from the closest grid-point, which in turn
is located in much deeper water.
In spite of these facts the model produced numerical results
that, if not optimal, are at least acceptable.
The tides predicted at the northern station, LI MAO DO CURUA,
agreed with the harmonic prediction within 4% of the tidal range
and no phase lag is observed. The maximum difference for the
station at ACAITUBA is about 12% of the tidal range, and a
phase lag of about 20 minutes is observed, but both may be
attributed to the fact that the actual station is over shallower
water than it is represented in the grid-point and to the dis-
tance from the grid-point to it.
At MACAPA, however, the results are unsatisfactory. This
can be, at least partially, attributed to the fact that the
grid size is too coarse to describe correctly the bottom to-
pography and the cross-sections in the southern 18 km of the
Channel, both very irregular. In fact, smoothing the large
gradients between the depths at U- and V- grid-points of same
61
coordinate designation by making them shallower resulted in a
better curve, as is illustrated in Fig. 22. No further im-
provement was tried because, due to the actual mesh size, the
new "false-bottom" would not be realistic, and the procedure
was abandoned. A similar situation is reported by Ramming [17]
when modelling the Eider River in Germany: the first attempts
to reproduce the tides in areas of very irregular cross-sections
and depths were not satisfactory, in particular with regard to
the steep flood part of the tidal curve. Differences of about
60 cm were recorded in a 3.8 m tidal range. Representing the
cross-section by a fine structure of depth distribution, i.e.,
using a finer grid, led to results in which the maximum devia-
tion was less than 10% of the tidal range and later improvements
reduced this deviation to less than \% of the tidal range [17]
.
The prediction of currents seems reasonable. At least at
the four points where our current predictions were compared
to actual observations made by the Brazilian Navy, in identical
conditions of river stage, the results are quite satisfactory.
62
V. SUMMARY
The hydrodynamical-numerical prediction model developed by
W. Hansen was applied to the North Channel of the Amazon River
for prediction of tides and currents.
The tides predicted by the model agreed, in the worse case,
to within 121 of the tidal variations at two stations, but the
results at a third location weren't satisfactory. This is
attributed to the fact that the irregular shape of the channel
in the vicinity of this station was not adequately represented
by the grid. Improvement in the results was obtained by smooth-
ing the bottom at the U- and V- grid-points in order to decrease
the gradients existing between these points, but no further
adjustments were tried because they would be not realistic with
the mesh size used. The currents predicted by the model appear
to be satisfactorily reproduced, but more measurements are
required to allow further conclusions.
It is the intention of the author to continue the investi-
gations in this field to achieve improved results, both by
decreasing the mesh dimensions and by using new measurements
to be obtained in the near future. Continuation of the study
will also be in the form of a two-layer HN-model which the
author is preparing for the Amazon Estuary, for which more
data and information are available.
63
APPENDIX A
NUMERICAL PROGRAMS
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BIBLIOGRAPHY
1. Defant, A., Physical Oceanography , v. 2, Pergamon Press,New York, N.Y. , 1961.
2. Departamento Nacional da Producao Mineral, DivulgacaoTecnica No. 1, As Mais Recentes Medicoes do Rio Amazonas
,
by S. de Souza and others, Belem, PA, 1964.
3. Diegues , F.M.F., "Introducao a Oceanografia do EstuarioAmazonico, n Anais Hidrograf icos , v. XXIX, P. 129-157,Rio de Janeiro, RJ , 1972.
4. Dronkers , J.J., Tidal Computations in Rivers and CoastalWaters , Wiley, New York, N.Y., 1964.
5. Department of Energy, Mines and Resources of Canada, Manu-script Report Series No. 17, Simulation of Tidal Motion inComplex River Systems and Inlets by a Method of OverlappingSegments , by R.F. Henry, 1971.
6. Environmental Prediction Research Facility Technical PaperNo. 3-72, A Description of the EPRF Hydrodynamical-NumericalModel , by T. Laevastu and K. Rabe, March 1972.
7. Environmental Prediction Research Facility Technical PaperNo. 1-74, A Vertically Integrated Hydrodynamical-NumericalModel (W. Hansen Type) , by Oceanography Department of EPRF,January 1974.
8. Franco, A.S., Livro Texto de Mares para o Curso de Hidro-grafia para Oficiais , Directoria de Hidrografia do Ministerioda Marinha do Brasil, Rio de Janeiro, RJ , 1964.
.9. Hansen, W. , "Recent Development in Tidal Theory," Proceedingsof the Symposium on Mathemat ical-Hydrodynamica 1 Investiga-tions of Physical Processes in the Sea -Moscow, May 1966 ,
Hamburg, February 1968.
10. Hansen, W. , "Theorie zur Errechnung des Wasserstandes und
der Strommungen in Randmeeren nebst Anwendungen ," Tellus ,
v. 8, p. 287-300, 1956.
11. Henderson, F.M., Open Channel Flow , MacMillan, New York,
N.Y. , 1967.
12. Gibbs, R.J. , "Circulation in the Amazon River Estuary and
Adjacent Atlantic Ocean," Journal of Marine Research,
v.* 28, p. 113-123, 1970.
81
13. Gibbs, R.J., "Amazon River Estuarine System," GeologicalSociety of America Memoir No. 133
, p. 85-88, 1972.
14. Ippen, A.T., Estuary and Coastline Hydrodynamics , McGraw-Hill, New York, N.Y., 1966.
15. Institute fur Meereskunde der Universitat Hamburg, ReportNo. 18-71, Hydrodynamical Numerical Investigations andHorizontal Dispersion of Seston in the River Elbe , byH.G. Ramming, February 1971.
16. Neuman, G., and Pierson, W.J., Principles of PhysicalOceanography , Prentice Hall, Englewood Cliffs, N.J., 1966.
17. Ramming, H.G., "Shallow Water Tides," Proceedings of theSymposium on Mathematical -Hydrodynamical Investigationsof Physical Processes in the Sea - Moscow, May 1966 ,
Hamburg, February 1968.
18. Ramming, H.G., "Investigations of Motion Processes inShallow Water Areas and Estuaries," Proceedings of theSymposium on Coastal Geodesy in Munich , p. 439-452, July1970.
19. U.S. Geological Survey Circular 484, Amazon River Investi-gations, Reconnaissance Measurements of July 1963 , byR.E. Oltman, H.O.R. Sternberg, F.C. Ames and L.C. Davis Jr1964.
20. U.S. Geological Survey Circular 552, ReconnaissanceInvestigations of the Discharge and Water Quality of the
Amazon River , by R. Oltman, 1968.
21. Von Arx, W.S., An Introduction to Physical Oceanography,
Addison Wesley, Reading, Ms, 1962.
82
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Department of OceanographyNaval Postgraduate SchoolMonterey, California 93940
5. CC. Luiz Antonio de Carvalho Ferraz 6
Diretoria de Hidrografia e NavegacaoPrimeiro Distrito NavalRio de Janeiro, RJ 20.000 Brazil
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Diretoria de Hidrografia e NavegacaoPrimeiro Distrito NavalRio de Janeiro, RJ 20.000 Brazil
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Department of OceanographyNaval Postgraduate SchoolMonterey, California 93940
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ThesisF2645c.l
1S28Q6Ferraz
Tidal and currentprediction for the
Amazon's North Chan-nel using a hydrody-namical -numerical model,
Thesis
F2645c.l
lGr.806
Ferraz
Tidal and current
prediction for the
Amazon's North Chan-
nel using a hydrody-
namical -numerical model.
thesF2645
Tidal and current prediction for the Ama
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