tolrol¿Õ i

TIDAL PROPAGATION

IN THE

GULF OF CARPENTARIA

by

Michele Marie Rienecker B.Sc. (ttons. ), University of

Thesis submitted for the degree of Doctor of PhilosoPhy

in the University of Adelaide Department of Applied Mathematics

December L978

tli" 1-qT0 [^t.ro{r.i 11ì 0,q J TABLE OF CONTENTS

SUMMARY (i)

SIGNED STATEMENT ( ii)

ACKNOIIILEDGEMENTS (íii)

CHAPTER 1 INTRODUCTION I

CHAPTER 2 THE PROBLEM: A RECTÆ{GULAR RESONATOR ON A SEMI-INFINITE CHANNEL 2.L The Tidal Equations 5 2.2 Frequency Response Analysis 6 2.3 Reformulation of the Equations for an Analytic Model 8

CHAPTER 3 THE ANA],YTIC SOLUTION 3.1 The Method of Solution and the Boundary Conditions 10 3.2 Solution for the Channel 11 3.3 Solution for the ResonaÈor Region 13 3.4 Solution folthe Junction Region 15 3.5 The Remaining Matchíng Conditions and the Galerkin Technique 20

CHAPTER 4 AN EXTENSION TO THE MODEL: AN ADJOINING CHANNEL 4.1 The Equatíons 35 4,2 The Solutions 37 4.3 Determination of ô 46

CHAPTER 5 TI4IO NUMERICAL MODELS 47 5.1 A Linear Fínite-oifference Numeríca1 Model 4B 5,2 The EVP Method 52 5.3 Stability, Consistency and Convergence 55 5.4 The Friction Parameter 59 5.5 A Non-Linear Model 6L 5.6 Consistency, Convergence and Stability 64 CHAPTER 6 APPLICATION TO TIIE GI]LF OF CARPENTARIA 6.1 The Gulf of CarPentaría 68 6.2 The AnalYtic Model of ChaPter 3 72 6.3 The AnalYtic Model of ChaPter 4 89 6.4 The Linear Numerical Model 95 6.5 The Non-linear Numerical Model 105 6.6 The Programs 110 6.7 The Response of the Gulf to Tidal Forcing 110

116 CHAPTER 7 CONCLUSION

1t_8 APPENDIX 1 The Representation of Bottom Friction

L27 APPENDIX 2 \te Galerkin and Collocation Methods

APPENDIX 3 Evaluation of the Integral Form for 6z(x,y) 130

APPENDIX 4 The Classes of Elements for the Non-linear Model and Their Associated Finite-Difference Equations 135

138 BIBLIOGRAPHY (i)

SUMMARY

This thesis considers tidal propagation in a rectangular resonator-channel system, with specific reference to the Gulf of

Carpentaria, situated to Èhe North of . The linearízed form of the trdo-dimensional depth-averaged equations of continuity and momenEum conservation is used. An analytic solution is found by dividing the area into of constant deprh. In this manner, a solution is found for Èhe case of a síngle connecting channel and then for the exEended case of two connecting channels, associated with either neglecÈing or including the effect of tidal flux from into the Gulf. Results from the analytic model are used to provide tidal inputs for two numerical models, both of which use explicir finite- difference approximations. The first numerical model is linear and is developed to account for realistic boundary and bathynetry variations, with the emphasis on obtaining a model with small- compuÈer time and memory requirements. Since, in shallower coastal areas, the non- linear Lerms in Èhe continuity and momentum equations become more important, the second numerical model developed includes these terms to determíne their effect on the resonator as a whole. The two models show favourable agreement, thus verifying the usefulness of the linear mode 1 . ( ii)

SIGNED STATEMENT

I hereby declare that this thesis contains no material which has been accepted for the award of any other degree or diploma in any University and, to the best of my knowledge, it contains no material previously published by any other person, except where due reference ís made in the text of the thesie.

M.M. RIENECKER. (iii)

ACKNOI,üLEDGEMENTS

I would like to thank my st¡pervisor, Dr. B.J. Noye, for his advice and guidance in completíng this thesis.

Many thanks are also due Èo Dr. Michael Teubner for his help

and encouragement throughout, Èo Mrs. Angela McKay for her excellent, accurate typing, to Mr, G. de Vries for preparing the diagrams and to Mr. Phil Leppard for his advice on computing.

The work associated wíth this thesis was carried Òut from

February 1975 to November 1978, during which time I was financed by

a Commonwealth Postgtaduate Research Award'

M.M. Rietrecker - 1

CHAPTER 1

INTRODUCTION

The Gulf of Carpentaria, located in tl're North-Eastern part of Australia, is an area of difficult access by either land or water and hence remains relatively uncharted and unstudied. However, over the past few years, there has been an increase in the nuirber of research programs in the area as its potential for the lucrative rnining and fishing industries has been recognized. Lirnited sectors, such as at lrleipa, PorÈ McArthur, and Gove Peninsular, have been surveyed as port facilities l{ere required by mining companies. The C.S.I.R.O. has reported on the hydrology of the region (Rochford (1966), Newell (1973)) and has made a preliminary study of the circulation in the Gulf (Cresswell (1971)). Further work by this organízatíoa is currently under way. The Gulf r^ras also chosen by Teleki et al (1973), as the test site for assessing the usefulness of satellite irnagery to the rnapping of hydrological parameters in areas of difficult access. Tides and wind are the only two mechanisms which generate Èhe currenÈs in the atea. For several months of the year it is the influence of the strong, sÈeady trade winds which drive the circulation. However, overall, the circulation and mixing of waters ín the Gulf are governed by the clockwise motíon of tides and by density gradients resulting from the stratification of the water masses. Stratification is partly induced by differential evaporation rates betvreen the Northern and Southern halves of the bay (Teleki et al (1973)). According to Newell (1973), "the annual evaporatiorr/precipitation budget of Èhe Gulf forms a very sma1l part of ?-

the total water exchange but is of great importance in influencing water movement.tt

One examPle of the effect, in the Gulf, of winds and precipitation/ evaporation is the striking feature of the annual cycle of about .7m rn the tides, the lowesttídes being r:ecorded at the end of the drl' season and the highest during the wet season' It is during the wet season, which occurs in the summer months, that the activity of cyclones sometimes has a disastrous effect, causing large surges. some description of this is given by Easton (1970) who outlines the general tidal features of the Gulf. Realistic and accurate modelling of the waÈer movement in the Gulf of Carpentaria is obviously an intricate affair, it being necessary to incorporate the effects of tide, wind, stratification, precipitation/ evaporation and Pressure surges, not to mention ríver run-off and sediment transport. However, whereas the effects of the other mechanisms diminish at certain times of the year, Eidal forcing is always Present; and it is only the response of the Gulf to tidal forcing which is investigated in this thesis. Once the Èi-dal response is understood, it is easier to sËudy the coupling of the tide with other effsu[s' The tides are caused by the movement of the sun and the moon and their changing gravitational pull on the $Iater of the ; however, in coastal areas, such as gulfs and estuaries, a\¡Iay from the deep , astronomical tidal forcing can usually be neglected compared to the direct forcing from the motion of adjacent r¡raters. From the results of Hamblin (1976) for different size basins, the maximum amplitude of the resPonse of the Gulf of Carpentaría to direct astronomical forcing could be expected to be only about 3 cm, a very sma1l contribution to the response as a whole In this thesis, Eidal propagation in Gulf systems is investigated by finding the resPonse of Ëhe system Èo tidal forcing on an open boundary' 3

One of Èhe main problems in ascertaining the accuracy or limitations of any model of an area is that reliable input data across the open boundary is rarely available, especially if the boundary is wide. Data is usually available from coastal areas, but this may be disturbed by local effects and is not always representative for the open . Values may be inter- polated between coastal areas, but this does not normally take into account the disÈribution of depth (see Hansen (1962)). A more accurate input may be obtained from the results of an analytic model which produces the input from the solution to the model equations. This still does not account for the true distribution of depth, but avoids the need to interpolate over wide areas. Analytic models have their limiEations in that they provide solutions only for simplified situations; however, they can be very useful in providing an insight into the important feaÈures of a model area. As well as providing the tidal forcing daÈa along an open boundary for numerical models, they may also act as a guideline to the accuracy or validity of these more complicated models. lüith this in mind, two analytic models of the tidal propagation in the Gulf of Carpentaria are developed. They a, e essentially extensions of Taylorrs (I92Oa) problem of the reflection of a Kelvin wave by an end barrier in a semi-infinite channel.

tr{illiams (L972) modelled the Gulf as a rectangular resonator on a serni-infinite channel. His first model neglects the effect of the Coriolis force; his second considers the frequency of rotation of the earEh to be small compared to the frequency of the tidal motion.

The models in this thesis are extensions of his work, incorporating, amongst other things, the dissipation of energy by bottom friction. Although

Èhe Coriolis parameter is taken to be a constant, no assumption is made as 4

to its value relative to the forcing frequency and, hence, this model is applicable to more general situations. The solutions are found for the linearized form of the two- dimensional depth-integrated equations of continuity and momentum conservation. I^Ihen it is impossible to find a solution which satisfies a boundary condiÈion exactly, a Galerkin technique is used to find an approxímate solution. Ttre first model, in keeping with lüilliams (1972) , considers no flux through Torres Strait, while the second allows for the presence of tidal forci.ng through this Straít by incorporating a second semi-infinite channel in the model. Torres Strait is a shallow region with an intricate array of íslands, reefs and atolls. .tt is not considered that the tides in this area have been modelled accurately; only the effect of motion through the Strait on the tides in the Gulf is of interest. The results from the second rnodel are used as input for a linear numerical model which accounts for more complicated boundaries and bottom topography. This numerical model is a frequency-response scheme, based on the EVP method described by Roache (1972), rather than a time-stepping mode1, and has the ariset of requiring very little computer time and storage.

Its results also compare very well with a more complicaÈed non-linear numerical scheme which is developed to determine the effects of the non- linear terms on the tidal motion in the Gulf and to assess Lhe usefulness of the more simple linear model. Both numerical models use a finite- difference approximation to the two-dimensional depth-integrated form of the equations of continuity and momentum conservation which govern fluid motion. 5

CHAPTER 2

THE PROBLEM: A RECTANGULAR RESONATOR ON A SEMI-INFINI.TE CHANNEL

2.L The Tidal Equations

The general two-dimensional depth-averaged equations governing fluid motion have been derived by such authors as Dronkers (1964) and Nihoul (1975). These equations, as given by Nihoul, may be written in vector form as

$tt*zl + V.{(rr+z¡01 =0 2.L,IA

ò g + q.Vq + = v(ez) + 2.I.lb ðt I b^_e - - ;L S S [

where g = (U,V) is the depth-averaged horízonLal velocity,

h is the depÈh at mean-sea-leve1,

Z is the surface elevation above mean-sea-leve1, t is the time coordinate,

f is the Coriolis Parameter ' vector in the vertical direction, 5 is the unit

e is the acceleration due to gravitY,

Y is a bottom friction Parameter, V= tãI,¡T' xry are orthogonaL Cartesian coordinates, positively increasing to the East and North resPecÈivelY,

and E represents the contribution from other factors such as external forces, atmospheric pressure gradients, wind stress effects and t.urbulence and shear effects. 6

In this study of the response of some systems to tidal forcing on an open boundary, the effects of the t.erm { are neglected. The equations 2.1.L can be further simplified to yield linear equations r¿hich have the advantage of superposition of solutions. The assumptions (and a discussion of their validity) implicit in such an approximation may be found, for example, inHendershottand Munk (1970) and Noye and

Tronson (1978).

The linearízed shallow r¡rater r¡rave equations may then be written

2.I.2a 3cnul*3(r,vlâx "'" ðy ".' ' =-Yðt

AU *;u v = 2.1.2b ðt - f - c #

#.;u+fu= -tK 2 .I.2c in which the Coriolis parameter is considered to be constant and the friction parametèr, r, is some linear approximaEion to yllqll A discussion of this línearízation of the quadratic friction term is given in Appendi-x 1 along with different forms which may be used to model Y

2.2 Frequency Res Ana 1ys is

Equations 2,L2 are used to model the tidal propagation in a channel- resonator system, as shown in Figure 2.1, where the motion is produced in response to an input ne{60(xry).t* }, of period T = 2rfu, travelling along the channel in the positive x-direction. The equations are solved subject to the input eoeÅ-t and the real Parts of the soluÈions for Z, U and V will give the elevation and velocity fields at any insËant in time. (i = ,/-l¡. 7

b CHANNEL JUNCTION (Region 3) (Region 2) v

x

d RESONATOR (Region 1)

a

Figure 2. 1 A rectangular resonator on a semi-infinite channel.

The area is divided into three regions with a

depËh-step at the common boundaries of each region. 8

Since the equations are linear, it follows that

Z(x,y,t) = 6(x,y)"-lt''tt U(x,y,t) = u(x,y)e-iu,t V(x,y, t) = v(x,y).-i<'rt so that the explicit time dependence in 2.1.2 may be removed. The equations governing the spatial variation of the fluid motion are therefore

(-it¡.¡+r/h)u - f ., = -, t 2.2.1a

(-ir¡+r/h)v+f,r=-*Foây 2.2.rb

* it¡6 2.2.Ic 3rn'¡dx 3(n*,)dy subject to the boundary condiÈions

u(O,y) = o, -d

v(x,O) = 0, x(-a 2 .2.2e and a radiation condition that the input wave does not excite other $/aves travelling in Èhe same direction.

2.3 Reformulation of the EquaËions for an Analytic Model

The equations 2.2.1 can be solved analytically if it is assumed that the depth is a constant; the equations being forrnulated in terms of 6(xry) only and the solution found by a separation of variables technique Manipulation of equations 2.2.|a and b yields the relations 9

u(x,y) = - g{(-io+r/h)2 +f'}-t{(-ir¡+r/h)ff.f fft 2.3.La

2 v(x,y) = - g{(-io+r/h) * f'}-t {- f * + (-ir¡+r/h)#} 2.3.lb and substitution of these expressions into 2.2.\c yields the differential equation governing Ç :-

v'Ç*#f'{ffiffi.l6=o 2.3.2

Defining

q = r/htrt 2.3.3a

0=flw 2.3.3b

2.3.3c these equations rnay be rewritten as

u(x,y) = - fit(r+i6¡'-o'\-'{i(r+iq>Nf, - t #} 2.3 .4a

v(x,y) = - fit(l+io)'-a'j-'{u t + i(r+i4)ff} 2 "3.4b

Y'e*x'e=o 2.3.5 and solved subject to the condiÈions 2.2.2. 10

CHAPTER 3

THE ANALYTIC SOLUTION

3.1 The MeÈhod of SoluËion and the Boundary Conditions

To find Èhe solution to equations 2:3.4 and 2.3.5 in the area depicted in Figure 2.1, the system is divided inÈo three constant depth regions as shown - the channel, the junction and the resonator. Ihe equations are solved (as far as possible) in each separate region and then the elevations and volume transports are matched at the colnmon boundaries of adjacent regions. Thus, the solutions are required to Ehe equations

lvz+{)e, =0, j=r,2,3 subject Ëo the conditions (i) va(x,O) = vs(x,b) = 0, x < -a

( ii) v2(xrb)=0, -a(x<0

( iii) u2(0,y)=0, 0

( iv) v1(x,-d)=0, -a

(v) ur(O,y) = ur(-a,y) = 0, -d < y < 0 (vi) 6r(x,o) = Ez(x,O)' -a < x < 0

(vii) h¡v1(x,0) = h2v2(x,0), -a < x < 0 (vl11) ÇzGa,y) = ÇtGa,Y), 0 < y < b ( ix) h2u2(-ary) = hgug(-a,y), 0 { y < b and (x) a radiation condition in the channel region. (rn the above, j= 1 refers Ëo theresonator, j = 2 to the junction and j=3 to the channel, and each of the u. (xry), v, (x,y) may be found from the appropriate forms of 2,3.4.) 11

The condition at the corner (-a,0) is given as vs(-a,0)

= ,rr(-a,0) = 0, while the restrictions v2(-a,0) = hlv1(-a,O) /hz and uz(-a,0) = hsus(-a,0)/hz do not necessarily drive these latter velocities to zero and hence could provide a shear effect. lrlhereas it is recognised that this may be erroneous, the exact condition on the velocity at such corners is not known and the use of the above condition is not considered to be too detrimental to the solution as a whole. The inclusion of the Coriolis force (0 I 0) prohibits the finding of an exact solution to this system. Even for Ehe simpler problem of a constant depth channel with a barrier aE one end (Taylor (I92Oa), Defant

(1961)) one has to resort to an approximate method to find a solution which satisfies Ehe zero normal velocity condition at the closed end of the channel. Here, for those boundary or matching conditions which cannot be satisfied exactly, a Galerkin method, which is an approximaÈion technique, ís used. This technique is discussed in Appendix 2.

3.2 Solution for the Channel Resion

In the channel region, the equation which governs the surface elevation is

YzÇt + xlÇ, = o, 3.2.I where

^.2 -_ or2 {(r+iqù2-e2} 3.2.2 ^s cr\ --( l.Io'f- subject to

vg(x,O) = vs(x,b) = 0, for x d -a 3.2.3 and the radiation condition. L2

The general solution, found by separation of variables, is

( o) x+Ks y 4r(x,y)=60(x,y)+Aoe -ik 3

æ k 1ß 1.rv ( e) b -| 3 + e '-{ co 6--L k 3 .2.4 I -b s .0n I & where Eo(x,y) is the input described in Section 2.2 and

Yz K3= 3.2.5 '{*

(o) (u2 Y2 ì. 3 k 3 (r+iqr¡ .2.6a ttn ' I

. (r) + K3 {r:- , ur/Ð'f Lez 3 .2.6b

with n.{t![) ] > O so Ehar rhe radiation condition is satisfied. It inrnediately follows that f*{tlf) } > O so that the waves with coefficient as x + -æ' fo, whích travel- back up the channel, have a finite amplitude The input ldave must also satisfy 3.2"1and 3'2'3, so thaÈ

( o) ik x; K¡ Y 6o (x,y) = doê

@ o' ( [) k ,. b + e : - k3 .-s1 3 .2.7 h y-Tt e I {"."&'ry "+)

Each component in 3.2.7 decays exPonentially as x increases. If the rate of decay of the zetoth mode is less than that of the higher modes and the channel is sufficienEly long, the contribution to 4o(x,y) from the higher modes (1, > 0) can be neglected relative Ëo the contríbution from the ltave correspondíng to [ = 0. Hence, the inpuÈ wave is aPProx-

ímated as

3.2.8 Ço(x,y) = "tnlo)*'K'" 13

and Lhe surface elevation in the channel region may be written

(o) ( o) ik x- Kry* -ik x+K5y 6r(x,y) = e 3 Ao e

æ ( [) -ik ¡X .Q,nv .([) b .Q,nvì + I & e co "bêJ + K3 I; 3 .2.9 l= t { "t"-E.-i

The coefficient 0,s is omitted in 3.2.8 and 3.2.9 since the system is linear and os serves only as a scaling factor. Relative amplitudes and phases at different locations may be obtained by using 3.2.8 as input, and the actual amplitude or phase at any location may be found if the results are scaled according to some reference point. Using the relations 2.3.4, the velocities are found to be

ulo)*+K'Y ,=19, - [- n!o)*' aot(ro) ua(x,y) = t¡(1+i0g) [ "'*Ío)x'K¡Y* "-t

æ F -ik 1o'.1n,0, .Q.nv +L & e .e É no¿ 3. 2. 10 2=t "o"ff # "i )l

( [) -ik x vg(x,y) noe *[ Kz + (tJ']"'"\' 3.2.tL

3.3 Solution for the Resonator Reeion

To determine the surface elevation in the resonator, the equation

Yzer*xl6r=0, 3.3.1 where

2 62 {(r+i4 t)2-02} 3.3.2 Bhr ( r+iOt ¡

must be solved, subject to the condiÈions

ur (-a ry) =u¡(Qry)=0, -d

The separation of variables technique is used once again to obtain a solution which satisfies 3.3.3, resulting in the expression

(x,y) Bo cosh Krx cos po(y+d) + i sinh Ktx sin E, = { Po(y+d)

. l¡rx (Y+d) . uo{"."T cos p'(y+a) . o, s1n- sln Pq oÏ, 1,.fu h a

¡Co cosh K1x sin ps(y+d) i sinh K1x cos po(y+d) { - I L¡rx i0 a . [nx sin po(y+¿) - pl s l-n- cos tp (y+d) .ico I1.TõJ G a [= r fcos- 3.3.5

ut-^( u2 | )v" where K = -lehr (1+i0r)J 3.3.6

3.3 .7 a Po fficl+io,))

Le z+ 3.3.7b Pp {'t -(Ð'}',

The condition 3.3.4, which cannot be satisfied exactly, is treated, using the Galerkin process, in Section 3.5.

The velocities may be found from 2.3.4 and are

oo a( i rnl*î . (Ð'){* cos pr(y+d) Q=t -t . lnx * sin pO (y+d) s1n- 3.3.8 Ct a vr(x,y) =ffil - nopo{sinh K1x cos p'(y+d) + i cosh K1x sin no(r+a)}

[r* pt (v+d) + ' sin (v.d)] i %{ * cos Pt "o"'l'rr Po Q=t *; "i.r + Copo{- sint K¡x sin po(y+d) + i cosh K¡x cos noly*a)} [r* - .r{Ë sin eo(r+d) - ' pQ cos pr(y+d) oi, fi "i' "o"'tr* ) 3. 3.9 15

3.4 Solution for the Junction Region

The surface elevation in the junction must satisfy the equation

v"Ç" * x|e, = 0, 3.4.1 where

,,2 = 62 {(r+iOz)2-o2i 3.4.2 L2 Et'z ( 1+i0z ) and the conditions

vz(x,b) = 0, -a < x < 0 3 .4.3

uz(0,y) = o, o < Y < b 3.4.4

The solution to 3.4.1, which also satisfies 3.4.3¡ mâY be written as

1r(x,y) ß(À¡"{)t*,À0 sinh s(y-b) + s(1+i0z)cosh s(y-b)}aÀ r 3.4.5

where À2 - s, = X| 3.4.6

and ß(À) is an unknown complex function of À Only a discrete seÈ of À-values satisfies the matching condition (vii) given in Section 3.1,

hrvr(x,0) = hzvz(xrO), -a < x < 0. 3 .4.7

From 3.4.5 ít is found thaË

o frt",0) + i(l+iQrlfff",ol

-I {x2ez - sb dÀ 3.4.8 r ß(À).{À* "r(1+iQ2)2} "int -æ so that 3.4.7 may be wriÈten as T6

-iÀx l. 1 I xzoz - sinh sb dÀ J-u, " I "2{t+íqr¡'I .4 ^,

=o urnr{"inh K1x cos ped + i cosh r1x sin psd} [- oo u2a * sin pou i Br 0 G cos Pl d sin T t no "'" T) e 1 { trrt I + Copo - sinh Krx sin Pod + i cosh K1x cos P¡d I

- .Q,nx pqd 1 cos dcos- 3 .4.9 I .r{t sin st" - Pg Pp a L *fi T in which

Ilence

-lttx .'iÀx ß(u)e - sb du dx + I" r {u'u' "'(1+iQ2)'z}"i't, -a -oo

CI iÀx e gs cosh K¡x + f s sinh K1x 2tr r

æ oo e Il'lTX N'ITX + t sln 3 .4. 10 Þ"fte) e cos-+ I n a n= I n= I - )u" where

go i lo [- no sin pod + Co cos Pod] fo = - po[Bo cos pod + Co sin po-d1 + gn = i Pn [- B' sin P,rd + Cn cos P.d], ¡ e Z' a tiL f 0 [B' cos pnd + c sin pnd] , ,, € z* 3,4"11 n nn gh1 ,,

To evaluate the left-hand-side of the equaliÈy sign in 3.4.10, the definition of vz(x,O) is extended to Èhe infinite domain by

, X(-â vz(x,0) {32(xr0), -â { x < 0 t0 , x)0 t7

The definition for x ( -a is essentially an analytic continuaÈion into region 3. The extension for x > 0 is quite arbitrary, but, as long as the results are not used outside the original domain of definition of vz(x,y), this device causes no loss ín generality' Thus, equation 3.4.10 reduces to

í{x202 ß(À) - "2(1+iQ2)2}"intr "b

* .-iÀn cosh K¡a + K1 sinh rra}l * Fret- iÀ {iÀ

K1a + Kl cosh K1a}] + #[xr - "-^' {iÀ sinh

æ íÀ grr [1 - (-l)""-i1\a , 2 ¡ÍLT( n i À d

nn/?. L + i t , tl _ (_l)n"-iÀ" l 3.4.12 ,,=", " À'-(a!!)- I a

The expression for ß(À) which is obtained from 3.4.I2 may be substituted now satisfies into 3 .4.5 to yield the new expression for Çz(x,y) which 3.4.7, the condition which ensures the continuity of volume flux from region 1 to regio¡ 2:-

iÀx À +iK f Çz(x"y) e 0( À) dÀ I À K I + r .-iÀ(x+a) {go []. cosh Kra - it<, sinh Kla] K1a] - f o [À sính K1a - iKr cosh ]ffiul I {le'+iTr"} I [- --,^* \v\^,'o(À) u/\dÀ n= I J " )r, 1*rl -æA

æ -tÀ( x+a) + (-1)" e 3.4.L3 I J- n= I a 18

where

À0 sinh s( -b +s ( 1+i )cosh s( -b) 3.4.14 0(À) = a 1+i0, sinh sb

The detaí1s of the contour integration used to evaluate these integrals are given in Appendix 3, the result being

* Go Çr(x,y) = Eo "inlo)*'K'(v-b) "{nlo)**K'(v'b) oo ( r) i k ,X cos w_ À r.!e) ryl + I Eg e b Jl,r' "i" bl l=t

æ ( [) ( Q) tlry. -tk ,X eb . + Gg e cos &!r + K2 Sr-n I b ln b l=t It-Io,I

+ oofcosh K,x cosh so(l-b) . ;#øsinhK,x sinh sr{v-u)] î t s[r*. i0 .^'tr -..- sinh so(y-b)] * Do^ cosh so(y-b)so (v-b) - ;{ "1" + ,=1, [cos "o"h + ro[sinh K,x cosh so(v-b) .;ffi; cosh Krx sinh sr{v-u)] [r* in [r* . ro["ir, so(v-b) . ' oi, "o"¡ G# "o" "i"¡ "o(r-u)] 3 .4. 15 r¿ith

so(1+iôz) (oo,ro) iCI (Bo,fo) 3 .4.L6a 2l tozr!+sfi ( 1+iQr) sính sob ifi (1+iQ2)sO (o0,tr'o) = - (go,fo), Le z+ , 3.4.16b sot rr$l' - "'o(1+i4r)2lsintr

where T9

2 lu' so Xz I

+ sg -*;\, Lez,

r/- . ( o) kz ffirr+io'z))

. ( r) + K2 = {*i - (Ð'r, 9"e2, l.' 3.4.17 K2 Í and the fn and gn are as defined in 3'4'LL' 2.3.4, are The velocities, which are obtained using the relations

, *!o) x- K,( v- b) ,t2 ( x, y) ,db {- uour,o' e nlo) *+K'( v'b) + cs k{zo) "-

æ + u!0, * onng EI .,*Ír).[- "o, {r * "t" T] e ¡

æ *Í o'. (e) + I Gr 2 cos I "-' [u +.'#É"'"ry]

. cosh K1x sính s't'-O)] +Do iKr sinh K1x cosh so(y-b) * É I oo l,'t¡x 0 r¡2 l.tx . 9'trs].n cosh sO (y-b) + cos sinh sn 1y-b) I + I Dr AA -rlgltzaLl l=t - - - . sinh K1x sinh s'f'-o)] a Fo iKl cosh K¡x cosh se(v-b) * #

æ @ cosh so(y-b) . sinh sort-o)l] 3.4. 18 + I F,[, T "o" "ir,$ 9.= t ** 20

6) < rl ik .* 2 + Ur vz(x,fi = Ere [^; (Ð']"'" b rffr e. I I

@ \" -ik oI ¡rv Gg e 1o',. -; . +L .e,nL (+)']"'" b Q=t

2 * lo rl *' . (uf," cosh K1x sinh so(Y-b) "o I ) 2 o sinh so(v-b) .oï,"i[(-t ) (T)']"'" T

. r<¡x sinh se(v-b) * ,o* [*î (nt" )']"t"n

q) 2 1 ( o) sinh socr-o)) + Fg (k 2 ) (Ð']"t" T e I 1 "Q 3.4.19

llilliams (Lg72) has omitte

and the Galerkin Te chnioue 3 5 The Remaini ne Ma tchins Conditions

been satisfied Not all the conditions listed in SecÈion 3.1 have involve, as yet by the exPressions found for Çt,Çz and Çs which still ' which remain to be satisfied unknown comPlex coefficients ' The conditions

ate d < b (1) continuit.y of elevation at x = -a' 0 y ( < 3.5.1 that is, Çz(-a,Y) = 6g(-a,Y), o Y b ( < (2) continuity of volume flux at x = -a' 0 y b 3.5.2 that ís, in2u2(-arY) = h3ua(-ary), 0 { y < b ( < 0 (3) continuity of elevation at y = 0, -ê x 3. 5.3 that is, 6r(x,o) = 4z(x,0), -a < x < 0 2l

(4) zero normal velocity at the boundary x=0 that is, u2(0,y) = 0' 0 < y < b 3.5.4 (5) zero normal velocity at the boundary y=-d that is, Vl (xr-d) = 0, -a < x < 0' 3.5.5

Since the expressions for l-he elevaËions (3.2.9,3.3.5,3.4.15)

and velocities (3.2.10, 3.2.IL, 3.3.8, 3.3.9, 3.4.18, 3.4.19) involve infinite sums, no explicit expression or value can be found for each coefficient, and it is obvious that no finite combination of terms will satisfy the above conditions exactly. Hence, some approximation technique must be used. Techniques widely used in such circumstances belong to the

Method of !üeighted Residuals (Finlayson, L972), from r¿hich class, the

most cormnonly used are probably Collocation and the Galerkin method' discussed in Appendíx 2' These, with particular emphasis on the latter ' are The Galerkin technique is used here' Each of the series in the expressions for elevations or velocitíes is truncated after l, = N; and, for each of the five conditions above' 1¡+1) weighting functions are used" The resulting equations, together with the appropriate 2(N+1) equations from 3.4.16, yield a system of 71¡+1) simulÈaneous linear equations in the 7(t't+t) unknown coefficients

Gl [ 0'1'""N' s, Bl , Cg., Dl , EQ, F[, , = The five conditions are no\'/ treated in turn' 22

(1) Continuity of elevation at x = -ê, 0

Substirution of 3.2.9 and 3.4.15 into equation 3.5.1 yields

( o) æ ( [) .tk a-Kr(v-b) -ik . lnvl + Er e ,ã cos Ar ß1 s r-n Eo e [ b b4l Q= r ( 1) ,*:o)a+Kr(v-b) t k tTtf_ +Goe + Gr e "à cos &y + ße sln I i b b

ioK r +Do cosh K¡a cosh so(y-b) (t+i4r¡"0 sinh Kla sinh so(y-b)

. i0K, K1a sinh so(Y-b) + Fo - sinh K1a cosh ss(y-b) n#O}.; cosh

I i0 [n 9 (-1) so (y-b) + F (-r) sinh sO (y-b) .i Dr cosh I r ( 1+i0z [=t [=r ""I ( o) ik a+K3 y + Aoe

æ ( r) i k + Ar e ao cos Ut + p1 sln W 3.5.6 I¡ b b where

0b ( r) + ge = k Lez 3.5.7 a Gîot l,rr 2t 0b ( r) + 3.5.7b 9g k !"ez ÎT+ïõ--J [1T 3

The Galerkin equations are produced using

u) (-a,y)dy, R = 0,1,...,N, 3. 5.8 trG",y)dy = r m Ë ? o

u) are chosen to be where the m

K_y t^) =e, o

mfiy + p sin mlTy ,m)0 3.5.9 W=cosm b m b

and the ËrGary), tr(-ary) are the truncated-series forms of the expressions for Çr(-a,y), 6r(-a,l) given in 3"5'6 (this notational

convention is carríed Èhroughout without further explanation) ' 23

The resulting equations are

( 0) ( 0) k 1 tk a o 1 t8 K_b -K^b e a a*t -"*'o +Go e -e E o K3-K2 Ks+Kz ([) r -tk a 1 a Ln - 2 Ka+ tl ( -1) -r] *)Ete b ""'o x2*(4)'3Þ ( r) - ik ,r -r] +)Gte [*, - ß, f][t-'r' ""'o '.-Frf . o, K," r,o - sinh K1a t, ["o"r, ] **30

iOK . - Kra rro . ' cosh Kta t,] t, ;ft [ "l"n Tffi

( -1)r + Dr(-r)r T,.n * I Fq Trn I _r*, dJ # *1-"i (o) o) a nl o -ik *Ao 1 .t " ", -r] =be 2Kt [", ([) ik a 1 - 3 3.5.10 *)Ale [*. - oo {][r-'ro "*' '-1] x'*(Æ)'3D ( 0) -ik a+K.b, (Note thaÈ, if hg = hz, the term with coefficient Es is Esb e

where

1, 0r1r... rN T Kr("K'b - cosh sob) - so sinh sob , = ,9. =

0r1r...,N, T K, sinh sob - - cosh s'b), [ = r9. = "ß("*'b

and 24

( 0) -ik a 1 mT Eo e 2 Kz+P - (-t)' m b "*,0 x'*(9)'zÞ . ( o) lR- e 1 +Goe 2 *, . - (-1)'"] [- o- i][e-K'b r'*(9)'ZD

* * Er - ßr I u,' å "-'*Í''"[, - o-ß-] I' "-t*Ío'"[o,.r0.. rnl

m) r) k a nÍ +c l. 1+pß * cc .' " * ßr I nt¿ mm I, [o-îo- "tf

iOK + (l+rQzJso,-:i;j:1þ' sinh K1a

+ cosh K¡a t* ]

- 1)e io Î'rr ( -1)r + Dg r, -T' ,9. Tqg I mTT 2 tg. L ( 1+i0z ) s 2 + ( ) "rl e. b "r'*(Tl' (o) -ik L 1 3 . 0," - ,-r)^ .-*'o =e t [", i][t ] rt*(S)3Þ ( o) k I + A e ,e - o- .K" - t] o [-, i][,-1)' r'*(4r)'3b

* o^r."'*l*) " * Ar * Pp I ,r = 1r...,N 3.5.11 [r.oå] I' "'*10'" [o*î0," ntf

where

TrL sQ sinh soo * Pm ("ottt b- (-1)'),L= 0,1,...,N S "Q (-1)-) * sinh sob, [ = 0r1r...rN Toç. = ,p(cosh sob - 0,,,,, S

N means I I I

N f'*"ans I 9=t lf-

^b m and l^ [(-1)r'--1] Ilm 3.5.t2 Xnr TT Fç 25

(2) ContinuitY of volume flux at x = -a, 0 { y < b

Using the expressions 3.2'10 and 3'4'l-8, equation 3'5'2 may be written as

o) o) *' ( t) kl a+Kr(v-b) nl '' v- + c¡ tlo) ei - eo t!o) "-' ([) -ik a/[) trJ El e t cos vr s1n w I 2 b b r 1 ( [) k A r) trr 2 r.( [" os + vQ s1n Ut .icr e 2L b b Q= t

K1a sinh * oo[- i*, sinh Kla cosh so(v-b). *# cosh 'o{v-u)]

0 t¡2 sinh Kla sinh ss(Y-b) +Fo iK¡ cosh K1a cosh ss(Y-b) - so ghz

&I (-r)l so (y-b) . t, c-tlo sinh so (v-b) * FQ i cosh ni, å $ rl (o) ( 0) lk a*Ky -ik â' K ... 3 3 hg e a 3v ¡ ¡(o) e hz ffi{-n'," 03 (r) a ß) k t( ["o" &v +1l0 sin Uv 3. 5. 13 .iAe e 3[ b b ) 9.= t

where tJ2 0 b vr =ñ tu-o=ot a 3.5.14a .Fîñ;

ts2 e b 9"eZ + 3.5.14b uq =;ñ;;( ç '

The Galerkin equations, resulting from

3. 5. 15 tú hz iz(-a,Y)dY = t) hs üs(-a,Y)dY I m I m o 0 K.Y wíth l,oo = ê

mTy lil = cos + 1rn, sin , m = 1,...,N, 3.5.16 m b ry

ate 26

( o) a 1 K b Kb -ik 2 I - no k!o) e t. e e' Ks-Kz L I (0) tk a1 K-b -K-b + co kto) e e' -e I K3+K2 J

( l) -ik . ( [) 1 -I Er e R2 . -r] *3*( [*, "- f]fr-rlo "*,0 b )' (l) r ik r (e) I +IGte , k 2 *?*t Lt¡\, [*,-"of][{-r)r.",o-.] b

. o, ir, sinh Kra ï,0 . cosh rra Tro [- * É ] ;fu30 t r o *ro li Kr cosh K1a T - 9'sinhK,ar' I L-ro so ghz 20 J K2-sz30

+lDr+## r,p +lFr r+ rl

(o) ik a 2Kb l, !1.19rì J - r(rol¡!r b e-inÍo)n + ¿ ¡(o) 1 3 [e t -t] hz (1+i0s) I o 3 F" 3 (r) - ik . ( r) 1 .à K3 (-1)r t]) +TfuE [*, - f][ "*.0 x'*(F)'3Þ " 3.5.t7 o) - ( o) -t nl a + K, b (Note that if h3 = l:2, the term wiEh coefficíent Ele rs -g þlt2 e ), 0 where

T Ku(eK'b - sob) - so sinh s'b, l, = 0,1,"',N P "o"h

TrQ K, sinh sob - ("* - cosh spb), [ = 0r1,. ,N "l " and, defining * tgb - (-1)-)' Trp = "l sinh soo um S(cosrt .0 = 0r1, . .. ,N (-1)-) * sinh s'b, Toç" = sg(cosh "tb - U- + 27

( 0) -ik 1 Eo e ,e . (-1)-] - k!o) mfi ,,", - K2+ ( [*, l]["",o 2 b f

I oì'a + co t!o) 1 -Kz+U MTT - (-t,*] IIIT.2 m b "tuì x2+( ]["-.,0 2 b,l ,o( tn) - E r.!'r[r - v u Þ et ^ n!'' 1+vu nt¿LmnìlI "-tnl'', l*. m 2 I nlm ([) -i k a E e 7 u!o'[u,"îo- - VQ I T L ¡nl

. . < lt + GO et*t a k

1 e b)2 +Fo 2 iK1 cosh Kla T¡o sinh Kra- T so thz ¿1{) "å*(T) o r¡2 (-t)l Dr Tor*lFr T I s[ ghz 3 e "rr*(T)'

Þ3 1 . - ,-r)'" h2 ffi{-n!"'.-'nlo)u [*, u- i][t "-*,0 ] r'*(S)'3Þ I o)'a + lo t!o) uì 1 .*,0 t] "t - ,- i][{-r)'" - *:.(i) [-, *!') * o", å .' " n!*'[t . oi]

r) *1 * Ar " n!e) * uI I ,- = 1,...,N. 3.s.18 I, "t [u^îo- ,t9. ])

(3) Continuity of Elevation at y = 0, -â ( x < 0.

If expressions 3.3.5 and 3.4.I5 are to be consistent with equation 3.5.3, the coefficienÈs must satisfy the equation 28

Bs cos psd cosh K1x + ys sinh K¡x

Cs i cos psd sinh K1x + \[s cosh K¡x

@ - f .[nx l,nxI + B1 cos ptdlcos * Yt T "tt I 9. I 1 "

@ "Y[ .1.nx g,rx + Cf sin pOd cos -.-_s-rrt- T a tan¿pÎ d a 9.= t - (o) æ ik x*K, b ..([) x Eoe 2 + I no 2=t "'*' ( (r) -tk 0) *-Iqb -¡k +Goe 2 + [ Gr e lx 9=t

+ Do cosh sob cosh Klx + ¡o sinh K¡x

+ Fo cosh sob sinh Krx + ì'l o cosh K¡x

1,nx . .0nx + D[ cosh s'b cos:+ n1 sln i a d 9. 1 - o . l,nx .Cnx + F cosh s b s1n-- ne cos 3.5.19 I e 2 a 2=t a - with

Yo=itanPod 3,5.20 i0a + t9 (1+i0r) l't¡ *P tan Pld, Lez

-iOK' no = ffi; tanh s6b 3.5.2L

i0 9'¡ tanh s'b, LeZ + t = ï1.ïõr-) "fo

If the weighting functions are chosen to be

fi)q = cosh K1x + 1o sinh Krx

m'lTx mlfx w = cos 5 ç ¡ sin m = 1r...rN, 3.5.22 mg'ma' -, 29 then the Galerkin equations, found from

r w^ Èt(x,0)dx = I *rnËr(x,o)dx, fl = 0,1,...,N, ate

Bo (1 - yone)2K1a + (1 + Yorìo)sinh 2K1a

+ (yo+no)(r - cosh 2Kra)]

- co i + (Yo+no)sinh 2K¡a frp It.ro-no)2t<,a + (l+yorìo)(r - cosh 2Kra)]

pQ + (YoKr - * I Br cos ufu, [,*, - ,, E no)Trr vo flr.o] Ia

I Ltt * cr sin pod Y[ ) T I *"*(E)' a I

+ (YoK, . # vo fl r.o] r,t 1 = Eo ê [r¡orr - it!o) )fro + (Kr - ikloh, ) t, (klo) )t*r', L' ]

+Goe-"'o * it!o) )T'o + (Kr + it!o)n"tJ ffi1 [rnor'

+ I Er - ít.12) )T'r * (K, - itfrerno)Tro] &[tnor, * cr * it!e))T.o + (Kr * it!r)no)ïoo] I aft [rnrx,

{ r-nfi)2t

cosh S^b + Fo 2no sinh 2K1a + (r+¡f ) (1 - cosh zrra) 4Kr ]

cosh s b e *lDn - nono * (rìoKr - no *?*(E)' [,*, f)rsr flr.o]

cosh sOb Ltt - !,t¡ + +( + ngnoKr)Tot 3.5.23 - re nqKr)fro a I [," a **øþta 30

where

( Q) -tk I T =1-e ' cosh K¡a t¿ ( Q) -ik Trg =e "8 sinh K1a . . ( [) lk --t e- Trp = 1 - e- cosh K1a g) . .*' ( ToP = et " sinh K1a, .Q, = 0r1r... rN

0 T = (-1)^ sinh K1a 5 2 0 L= 1,...,N; and To I =f -(-1)^ coshKla, and * (K'Yo - n", Bo [,*, - yor- Tlrr", f,lru*]

i co - n- + (Kr - Yor- - [,*,ro T)ïs- i,t.-] äËþla

* * Br cos Pru[n-'¡", * rot*] * u-; "o" n*afr v.n-] I' * r^Tsin n-a[r #] * i' .o sin pouln,.ro," - ft t*1

co sh snb =Do - n'n,,, + (Krn' - r,,, [,*, T)Ts. T".',]

+Fo - n," + (Kr - ror. [,*rno f)ts- Trt.-]

* o^L cosr, s^u[t.nå1 * I' Dt cosh soo[n-'o- * ntt"n]

* I' Fl cosh sob r,r* - lll-r[- l (o) Krb 1 mfT - it{ror (-1)'" '*2 + Eo e z 1- a 1 (r

where rnil = +# [(-1)r'--11 , Lf m. 3.5.25

(4) Zero Normal VelociËy at the Boundary x = 0, 0 ( y < b.

Expression 3.4.18, substituted into equation 3.5.4, yields

ro "i"n so(y-b) + i FQoQ cosh so(y-b) 9. i * $ e =0 æ ( v'b) ( [) tTrJ- ¡o k!o) Et k cos sin &!r - I 2 b vl b "-K' Q=t

(o) K^(v-b) æ +Gok 2 e' + Gr k!r) - = o, e ¡ ["o" T "o "i" S] 3.5.26

with vl as defined in 3.5.L4a and

0s = iK¡

,* =íÆ,9'ez* 3.5.27

Application of 3.5.26 to r *^ir(Ory)dy = 0¡ fl = 0,1,...,N, 0 r^¡i th l,l) 0

mTIy mfiy W=cos +V sin [ = 1r... rN, m b m b ,

yields the Galerkin equations, which are

N Ouz 1 - J*'b cosh sgu) - rrJK'b sgu] Ih gn lU ,, "i't ll= o "r " x7-"; N 1 b K'b +[ Fr oþ sinh sob - K z{t - e- costr sou}] [U "-! I =o *7-"i

b L 1_ 9,¡r -K vQ (-1) * rot(ro)b co u!o' - - uo u!r) 2 2* - - I TT b u*{t "-'*'o] Ér*( ) t. It" b

I 9"n + cp r

and

("o"r, - (-1)-) * u- sou] oï. * +É ["q "Qb + "int

N + Fr sQ sinh sO b+v (costr I % m - <-rl'l] e =o ff "tb

- Eo k!o) 1 Kr+V mlT (-r)-] - old 1-vz *1*(Y)" -m b ]l"o'- '- t I m

o)1 MT uL Kz-v * .- o!-'l1+v2 -Go mïl 2 m b c-rl'] å m ( ) ]1"*'o- xï* b

+ EQ n!*'[v îo- - + f G[ r!ß) * unî*] = o, I m "oî*] i [u*îo-

m = 1r...rN. 3.5,29 33

(5) Zero Normal VelocitY at the Boundary, y = -d, -a < x < 0.

Use of 3.3.9 in the equation 3.5.5 gives the relationship

- Bopo sinh K¡x + i CoPo cosh K1x

æ . ßnx hx s]-n f T cr iPQ COS = U. 3.5.30 - Br a L a oÏ, '*+ - e -

The Galerkin equations are produced from the integration

t"A) i1(x.-d)dx = Q, m = 0,1,.'.,N, I m where the weighting functions are chosen to be

tOg = cosh K¡x 3.5.31

MTTX w_=CoSlr m = 1r"'rN

The resulting equations are

I 2 -Bs Po -iBtt* (-1) cosh K1a -- 1 4Kr [r-"o"t2Kr"] *l*c a )'

ipQKr e + iCo Po sinh 2K1a + ZKta + (-1) sinh K1a = 0; 3.5.32 4Kr Icr (&)' t<2*1A and K¡' - r]- t t* u, ffi [,-t,'cosh I'Br *#

. arffi (-r)'sinh K¡a * c- iP- 9r= o, R = 1,' . ,N, 3.5 .33

is as defined in 3.5.25. where Intl 34

(6) Continuity of Volume Flux at y = 0, -å ( x < 0.

For completion, the equations 3.4.L6, which ensure Èhat lhe condition

hrvl(x,0) = hzvz(x,O), -a { x < 0 is satisfied exactly, are Presented again here:

a s ( t+i ) Do [go sin pod - Cs cos psd] 3 '5.34 + 1+ c s intr s þz 0 ob

CI pt st ( 1+iQ2 ) Dl = - lut sin pgd - Ct cos POd], 1+i0z )zrrt)sinrrsob trsl'-(a !' = 1-r, .. ,N 3"5,35

CIi s (t+ .r0 - - [Bs cos pod + C¡ sin ped] 3.5.36 0 K 1+i02 S sirùr s b 0 0

uJ2 a cos p1d + C[ sin FQ ghr l'n lBt POdJ, t 9,= I,...rN 3.5 .37 where [(t+ior)2- o2] CI =Þltz (1+i0r)

The linear simultaneous equations described above may be solved (1' for the unknowns &, Bg, C[, Dl, El, Fl, Gt, = 0,1,"',N) by inverting Ehe (ZtI+7)x(Ztl+Z) complex matrix whose elements are defined by the equations derived in this section. The convergence of the method is tesÈed by checking that the residuals of each equation become smaller as N is increased, as shown in Chapter 6' 35

CHAPTER 4

AN EXTENSION TO THE MODEL: AN ADJOINING CHANNEL

4.L The EquaÈions

The model in the previous chapter can be extended to include the presence of tidal forcíng in a second semi-infinite channel, adjoining the juncÈion region and occupying the area x > 0, w2 ( Y < ws ' I'üilliarns (Ig72) (and, subsequently, Buchwald and !üi1liarns (1975)) has considered the case ,r= o, *, = b in his earlier analysis which neglected coriolis as well as frictíon. Here, the two semi-infinite channels, not necessarily if * b' or in the same width, could be as depicted in Figure 4.Ia, ", Figure 4.1b, if tr, b, with both cases allowing for 0 < wt < b' The analysis which follows is carried out for the situation in Figure 4'la, but that for Ehe case of Figure 4.lb does not differ substantially from the presentatíon below. The area is now divided into four regíons with a depth discontinuity at the junction of two adjacent regions, indicated by broken lines in the figure. Once again, the solution is sought to the equations

v2 + = I 2 3 4 4.1.1 Çt \'et o, i where

urL ,:l =

The solution must satisfy a radiation condition in each of the semi-infinite channels, as well as the following bc'undary conditions: 36

lReg on I 4 r^rl I^¡ b Region 3 Region 2 3

w2 t (a)

Region 1

Region 4 ItI ¡

b Region 3 Region 2 I"¡ 3 t{2 (b) r

Region 1

Figure 4.1 The rectangular resonat.or-channel system, with

two connecÈing channels. The case of ws ( b

is shown in (a), while we Þ b is depicËed in (b). 37

ur(o,y) = ur(-a,y) = o, -d < y < o vz(x,b)=0, -a

vq(x,wz) = v,*(xrws) = 0, x Þ 0 v1(x,-d)=0, -a

ÇzGa,y) = 6¡(-a,y), 0 < Y < b h2u2(-a,y) = h3us(-a,y), 0 < Y < b 0, ws

h2u2 (0 ,y) haua(O,y), wz < y < \¿s 0, 0

r,z(0 ,y) = 64(0,y), w2 { Y < eI3

< 0 ç 1 (x,0) = r,2(xr0), -a < x hrvl (x,0) = hzv2(xrQ), -a < x < 0.

The u. (x,y) and v. (x,y) may be found from the relations 2.3.4

4.2 The Solutions

(x,y), are The expressions for 4, (x,y), u, (x,y), tj j = 1,2'3 ' exactly the same as those containing the unknown coefficients, found in Chapter 3. The solution in region 4 is found analogously to 6g(x,y)

in Section 3 "2, so Èhat -ik(o)' '*+K¡Y *10)x-rçy q,*(x,y) óù n Âo = e "t

æË^t uÍr)*["." + ) 4e - nlo' ui'&(y-'r)] , l=r #,r-wz) 1çft;# 4.2.r 38

where

K 4.2.2 4

( o) k 4

r/" 4.2.3 ( r) + -k = 9"ez 4 {*i (#l) and v/t=vI3-vl2 4.2.4

The velocities maY be written as

( 0) k x- K¿Y klo) - Âo tlo) e 4 u+(xry) ilfu {t "-'ulo)**Ko'

i k Ío'. + &(y-'r,]), * e 0 # o=l' 4 ¡-ulo) "o" fltr-",) * "i,, 4.2.5 and

oo ( e) 2 ik vrr z . .0n ¡x I + (v-tr) . 4.2.6 v,* (x Ao e K (#) sln ry) I ¡ lnL 4 -hTI

As was Èlie ¿ase in Chapter 3, some of the conditions listed in section 4.1 still remain to be satisfied. These are

(i) ezG^,y) = 6s(-a,Y),0< Y< b ( ii) h2u2(-ar!) = h3ug(-ary), 0 < Y < b (11r1 6r(x,o) = c,z(xr0), -â ( x < 0

( iv) v1(xr-d) = 0, -a< x< 0 (v) h¡v1(x,0) = h2v2(x,0), -a < x < 0 (vi) 62(o,y) = e,r(o,Y), I,tz < Y < r{3 4 .'¿ .1 0, ws

(vii) h2u2(0,y) = huuu(O,y), ¡¿z < y < rI¡ 4.2.8 0, û < y < tz 39

As before, a Galerkin technique is used to find an approximaÈe solution to satisfy Èhese equations. The algebraic equations resulting from application of the Galerkin process to (i) - (v) are those found in the previous chaptef, namelyr 3.5.10 and "11,3.5.17 and .18,3.5.23 and '24, 3.5.32 and .33 and 3.5.34, .35, .36, .37. Conditions (vi) and (vii) are nohr considered.

Condition (vi). ContinuitY of Elevation at x = 0, I,{2(Y(1^7,

SubstiÈuÈion of the expressions 3.4.15 and 4.2.1 into equation 4.2.7 yields

æ + so(v-b) i Dt cosh sO (y-b) t, l=o r t l1çþsinh æ ( v- b) -K, + Eg cos Ar- + Eo e I b ßr rt"+] L=t

æ v'b) I ny I + Gs eK'( + Gl cos &v- + ßr s].n [ b b J l= r L oo 9,n + Âo e-K.Y + cos (v-tz ) Ee 4.2.9 = ô I \dl ] "*ot 9=t 4[ - "i" ff

where b .([) ßr ñxz 9.e2,+ 4.2.r0 0 wr -(l) eÎI II.Iõ;' ffi *u

and 0ß is as defined by 3.5.27.

The weighting functions which are chosen for the evaluation of

tL) irto,¡dy = tÁ) iu{o,y)ay, n = 0,1,...,N m f m V, W, ate K,Y lÐ =e o mlTv mlTy 1,0 cos 1+ ß san , f, = 1r"'rN' = b m b 40

The Galerkin equation for m = 0 produced from this integration is

N N 1 % U 1 D[ KzT - ,eTzp. + F KcT s T I tQ I I 1+iS2 2 -2 I e rl l=o *i-"; .Q=o "r K s 2 2 e

Krb 1-K o *' + Eo Idr e *"of* " - " ["'*' "'*"n^

I + Er . I 9.r *o -ßo*,}r.o] t<2+( )' [{*,. f}r,o {f 2 b

I + I G9 - q . oo *,}r*o *7*(T)" [{'., f}',,. {f ]

= ôì - ñä ["t"'*K')w' "(*o**'t*']

Ko)w, *r- Ko)w, + A _ "(*r- "(

* I4 [*,. t, #]ß-1¡r"K"' - "*"1, 4.2.r1 -fu2 w!

(Note that if hz = h,*, the terrn with coefficient Âo is Âotr), where *t T = a*, cosh so t, cosh s t e "*'*' e 2 Í, = 0r1,,.. rN

T = , t - sinh sot, 2 e "*r*, "irrh I 3 "*r*,

*, 9"nw2 Trn = a*, cos "o, ry "*,*, b 9"= lr...rN l,nwg K- w^ 9.¡rwz Tol = ,i' _ e ' 'san "*'*' b b and l =rJ -b, i=2,3. 4l

The Galerkin equations for m = 1r...rN are

N MTT + sgTD2Q ß Torl* Ioo ln b ß* 9=o '- Isoro,o "rïr.o ]

N /:l- MT 0 + F 1o rorr + Tøoe - ß" + ß-"0 Ïo, i e b Trort o ] It+iqJ [=o 'î"(T)" ["0

Krb 1 K2 *, + Eo e * - [- r*, ß-T ){" "o" ff "-*, "or ffÌ r2*(T)2D

Kr}{.-*'*'"ir, - . {i - ß* ry "-*'*'"i" fff ]

* n"'[f r-ofr ]4..'3-wr¡ * ,frtr+oz]{sin + - sin ryr]

* - *ßoß*]ï",0 - [ßnßn,]T"rr * {'ßn, * ußr}T"rs I'En +#, [ru {'-

+ {[ß,,' * *ß[ ]T"ot

-K, b 1 +Goe ß", - [,*, - T]{eK'*' "o" Sb "*'*'"o. ffr r'*(S)'2D

+{ MT ßrrrzÌ{eK'*' sin - -+b ff "*'*'"ir, ryt]

+G . - sin m [tt.e;lZcÌ^r3-rd2) rfttr-ofr]i"i., ry *t

-ß b m 2mlf {"o"S-cosryt]

mßoß',]T"rr - * t'ßnß^}Turp * {*ß,,, - ¿fu}Tu.r * I'Gs +i* [,u. {'

+ {1.ß_ - *ßl }Tuop 42

1 cL - 0", - *l*tïl' [,*- Tl{eKo*' "o" ff "*o*, "o" fff

+ tff . ß","uÌ{"Ko*' "ir, ff - "*o*'"i' i"t]

*Ao **- * ß,. - l- TÌ{e-Ko*' "o" ff "-^o*' "o" ff}

.mT *' *' + tb ß-K,* Ì {"-*o ir, - " ry "-*o "t" fff ]

* 1 sin I"4 [try - ß-6r #]{(-r)r "i.' ff - fft r$l'-r&l'D rrrt

9-r {6r ß,,, - cos -+I^7 I TÌ{(-1)r "o" ff ryr]

+ A 4w o {ß + Erlsinry] ,0=1 ,N, 4.2.12 L [tt-g.r"]"o" Se m where

. mfiId a mThlZ ro, = cosh tr t, s1n - cosh sl t2 s]-n I Jr b

mTWZ To"g. = sinh sOt, - sinh s't, cos "o" $b b Trrg. cosh sot, cosh sot, = "o" ff - "o" Sg

. IIllThl r III'lTht r T = sinh sO t, s]-n - slnh spf2 sln --5: .Q, = 0r1r...rN D4 r -b"J

lnw¡ mTlsl a Ll¡vz lll'lTlrl TBrg sín cos - srn cos Z -- b -5- b b

mTfüt g .Q,tn¿. mfihtZ [-t¡w z Tr.rP s1n cos srn cos = b -1* - b b

Î,ftrs IIIlIht ¡ l.,nwz mTl"ü72 Tnr9. = cos cos - cos cos b J¿ b b

lnw¡ IfllTW a Lr¡wz mll\dZ TBoQ sin sin -5* - srn sin L = l, N = b b b

mL L is such that 4.2.t3 b \¡t I

N and l" denotes I 9=r 2fl- 43

Condition (vii). ContinuitY of Volume Flux at x = 0, i{2 { Y < vrs

Using 3.4.18 and 4.2.5 in equation 4.2.8 gives î0o2.- oo sinh so(y-b) * Fr op cosh so(y-b) 2 _lo _ fr o=lo

@ -([) Ar- - Eo k!o) .-K'(v'b) I E R2 cos Ur VQ s 111 l=t I b b

oo ( v'b) + co kto) + cr r.!r) + v[ sln W "K' I I ["." + b

0, 0 < y < tz and r,.t3 < Y < b

( t h¡+ l+iôz) í ô kto) " * Âo tÍ-o) .-*o t', Ît.lõ-¿ I "to . o1.o'["." - Kr &(v-"']] oi, 4 #,r-wz) "i"

\,t2

with v[ as defined in 3 .5.L4a 0[ as defíned in 3.5.27 4.2.15 and Kß =e-Éî+t, ,t..2*

With the weighting funcËions

K:(y.b) il,lo = €

W mlTy +v sin m]ïY , ß = 1r"'rN, m =cos b m b

the Galerkín equations, trhich are produced from

,- hzüz(o,y)dy = r,0* haür+(0ry)dy, f, = 0,1,...,N, fo o vz

are 44

sob]- K2e-Kzb sinh ,oo]] - "osh oi.oo * * ù["0t, "-*'b

. FQ or sinh sob - x'{t - co"h oi, ffi¡"re-K'b "-*'b "oo}] * ¡o t!o)u - Er t!ß) uo - (-1)ß] [ ttJ [*'. f]['-.'" (-1)e] - co k!o)ù[t - e-z*'o]* I.o u!o' - uo f]["-." - "fu [-,

e-K"b n!" - = |; ffi {-, nft, ["t"'+K2)$'3 "(*o**'r*' ]

K¡ ) w¡ *" *''*' * Âo r.!o) "'' - .( ¡fr; ["t ]

*o - 2.16 * ¡ Âo r!r) ry [*,. ff-rlc.K"t "*t']' (Note that if hz = hq , Èhe term with coef f icient Áo is Âow,);

and 45

r.ù2 1 t"o"t stb - 1-t)'o] * u- sint' soul to gn'z o .fft'Il .2 T (-Ë- I ["o o¡, * "t'* N I s inh s* b+u - (-1)''i] I Fr 0r "r- rn f{"o"t, "tb Q=o 'l'*(T)' 1 * ,-r,"'] * u- n!"0 L-v2 * no t!o) 2 u., - å m Ki.(Tl [*, T][""'o [

mT * cs k!o) Kz-v - (-r)'] - ... u!'"' . b ]["-",0 ] [t ",î]

* VQ I * n!o'Iv î0', - uoî*] - cs r!e) ml I'ur m I' [r,"î0"'

( o) h', k u., - =J - T]{eKn*' "o" ff "*o*' "o" ff} h2 rf. [t*-

+ {i . v-Ka}teKo*' si" ff - t*o*' "t" ry}]

1 Ko - Âo tlo) . u- Ì{e *l*(T)' [r*,' T "o"ff-.-*o*, "o"ffÌ

-K4 + {vnKa - llt" sinff-"-*o*,"t"ryÌ]

* st" + Â, uÍ*"' zrrftr - v-KL] cos io. {v- rc"} T"l

t 1l L sin - sinfft + l+ - v.Kr T,, Âr k (ryf-ëf lrt flitt-t>o ff D f./f

mïï Lr I -{v + )i(-rl cos m b "Q I^I I ry-"."ry,]i

m = 1r...rN, 4.2.17

where L is as defined ín 4,2.L3

re is as defined in 3.5'I2' and m 46

4.3 Determination of ô

The equations in the previous section contain the factor ô which represenEs the amplitude and phase of the input wave in region 4 relative to the input in region 3. Since, in collecting data, one cannot distinguish between input and output hraves, the value of ô cannot be specified but must be included as an unknown and determined as a solution to the system as a whole. Thís can be achieved if data is available in Èhe two regions.

The elevations at t\,üo positions (X3 ,Y3 ) and (Xa ,Y,*) , in regions

3 and 4 respecËively, are related by the equaEion

-i(Þ 6s(xs,Y3) = ô e 6+(Xa,Y'*) qrhere ô and Q may be determined from measured tidal data. Us ing

expressions 3.2,9 and 4.2.L, this equation may be replaced by the approximation

o) o'*. , *i *. kì +K3 Y3 e i "K'Y' + Ao e-i 1

( r) -l k X f LnY. *Ifo e + Pg lcos ;- "'"+] ( 0) ( o) {k x4+K4Y4 ik Xo-KoYo 0e^-io JO¿E^ 4 * Âo I " ( r) ik x4 Lr . Lt¡ 4 cos (Y,*-wz) sln (Y.-")] .4.3. 1 .lq e - Eg. t¡ L Iì7 I - I Ì

This equarion, with the 8(N+1) equations 3.5.10, .11; 3.5.L7,

.18; 3.5.23, .24; 3.5.32, .33; 3.5.34 - .37i 4.2'LI,'L2; 4'2'16, 'L7 are solved for the 8N+9 unkno$tns ô, &, Bl, Cl, Dg, El, FQ, Gl, q, !, = 0r1,... rN, bY using a complex matrix inversion routine. The results are presented in Chapter 6. 47

CHAPTER 5

TT{O NUMERICAL MODELS

Analytic models have a number of importanE attributes which make their development worthwhile. Although they simplify the features of the region of study to enable a solution to be found, they can throw a greaÈ deal of light on the important factors governing the fluid moËion in the region. They also provide a guideline against which to comPare numerical models. These latter must be developed for more realistic quantitative analyses, sincer excePt in cases r'rhere perturbation techniques may be applicable, analytic solutions can only be found for systems which are apEly described by linear equations and have simple geometrical boundaries and dePth Profiles. The restriction of linearization is noE as serious as the other (1969) tv/o; many models, including those of Platzman (1958) and Heaps have used the linear equations to good effect. Sometimes¡ âs, for (1976)) example, for residual circulation studies (see Nihoul and Ronday or for areas which are quite shallor¿ so that the surface elevation is comparable with the mean depth (see Flather and Heaps (1975))' the inclusion of the non-linear terms in a numerical model is essential'

However, if the water is deep enough to justify the omission of these terms, and yet, Èo gain a realistic view of the behaviour of the system, complicated boundaries and depth conÈours need to be taken into account, a linear numerical model can be quite useful' 48

5.1 A Linear Finite-lifference Numerical Model

factor the linear equations Assuming the time dependence "-t* , governing tidal motion are those given by 2,2.I, that is,

(-íur+r/h)u - f v = - oâx* F 5"1.la

(-it¡+r/h)v+fu=-c+"ðy 5.1.1b

ð (tru ) + = iur6 5.1. lc ã; 3tn.ridy

The numerical model uses finite-difference approximations to these equations. To determine the appropriate finite-difference forms, a two-dimensional rectangular grid is superimposed on the region of study, the boundaries thus being approximated by horizontal and vertical straight line segments. The grid points lie aE the intersection of the lines drawn parallel to the x- and y-axes; the grid spacing in the x-direction is Ax and that in the y-direction is Ay'

each element are a Ç- The grid is composed of elements; within ' a u- and a v-point arranged in a staggered fashion, as shown in Figure 5.1. This configuration has been used by many auÈhors, including Platzman (1958), Leendertse (L967) and Ronday Qglø), because of the simple form the coastal boundary conditions take. If E is evaluated at a grid-poinË with coordinates (xry), u is evaluated at (x-ax,y) and v at (x,y-Ay); the depth, h, is specified at the position (x,y)'

Each element is identified by an ordered pair, ([,j), with 1 < !, < m and 1 < j < n, l, increasing in the positive x-dírection, j increasing in the positive y-direction. The corresponding values of (, u, v, h are ([, j)tt't denoted by Ç0,, , tQ, j , tl, j and no,, Figure 5'1 shows the element and surrounding grid-poi.nts. Each element is fr¡rther labe1led according to r¿hich one of 12 classes it belongs. These classes identify 49

A A ut- t[,¡*t ,, ¡ *, r -l x x ttQ, e u[+t, ,o-r,, ¡ , e ¡

^y

A A¡ I t*- tß, ,,, ,

L J x x ttl, 6Q, u[+1,¡-t 4Q't,J'' j - , j -, +--- A X "-+

Figu re 5.1 The (1.,j)th element and surrounding grid-points' 50

the manner of allocation of values to 6, u and v and are set out in Table 5.1. From this table it can be seen that the coasÈal boundaries are always approximated in such a manner as to ensure that, if a land boundary is parallel to the y-direction, it passes through a u-point, and, if parallel to the x-direction, it passes through a v-point. As far as is practicable, centred finite-difference approximations to 5.1.1 are used. Consider, for example, equation 5.1.la which rnay be writÈen

{-io + r(x-Ax,y)h t(*-A*,y)}u(x-Ax,y) - fv(x-Àx,y)

a6 (x-Ax,y) 5.L.2 c ðx

Now, using Taylor series expansions

. + o(ax3) 6(x,y) = 6(x-Ax,y) * a* ff{*-ax,y) ry $t*-o*,y) and 6(x-2Ax,y) = E(x-Ax,Y) - o" * (x-ax,y) ..' ry S t*-o*,y) + o(Ax3), so that

6(x,y) - E(x-2Ax,Y) = 2Lxff C"-n",v) + o(Ax3), that is, if the ([,j)ttr element is being considered,

ff t*-n*,y) = *. rto,, - Çe-r, j ) * o(axz).

In Èhe same mannert the best approximation to v(x-Ax,y) is

\(up + vQ + vl-t + tl_r,j) + 0(Ax2,Ay2), ,¡ ,i +1 ,i +r 5L

but, to avoid the inversion of a large 3mn x 3mn complex matrix, an explicit system is developed, so that the approximation used is

* tl- ) + O(AxrAy2). v(x-Ax,y) = 4&n- r,, 1, j+r

Hence, 5.1.2 maY be written as

{-ic,r * r h ÌrQ,, - 4fko-r,. * t[-r,,*r) tQ, j tq, j

__ g * t'1'3a zL,(ee,j - ea-r,j) o(Ax,Ay2), where ttQ is the friction parameter value at the grid point associated rJ (ttris discussed in Section 5'4) and with tl, j parameter is

4(hn,¡ * ht-r,i ) e.+r h tr. hr, j, & = 1'

In the same manner, the finite-difference aPproximations to equations 5.1.1b and c are found to be

-I h + 4fGto,, + tl ) {-it¡ + r )v9., j , i ' t tg, j t[, j

( = ---Þ-- 7 1e + O (Ay, Âx2 ) 5.1.3b 2AY 'o1, ¡ and to*r,, - nro,j uÎ, t . t[,j*r - h tr, ] *'n.o-r,r j fttttrp,¡*r tl, j ,

5. 1. 3c it¡ Ç2 + o(Ax2,Ayz),

where

L"(hg, 1 j i+ h t[, j { j hQ, , '

to give i-n expllcit form, the These equations are real.ranged ' and L^ at all interior eqrrations for the evaluation clf t[, j , t[, i 'X' i

points : - 52

= f¡ {tr t[- v^ -h tl-r,, ) j tl, to- ,, , t!- ,¿- I . j + I t!- '[, j t,, t, ¡ *l t, ,

+ 1 2ioAx eg- ,, , \ 5. .4a

2Lx -'g-t,! {(-ir¡ + r h I )to, "e,j e tl, j tQ, j ,

- Yf(vo-r,. * tl-r,¡*r)Ì 5 . 1.4b

tr,, = - {-io o t.,ro,, nJot, + t[, ) .}-r{\f(tq, ¡ j - ,

* ft t'0, 6l,r-r)] 5 . 1.4c

The first equation is obtained by rearranging 5.1.3c after replacing

L by L-L, the second by rearranging 5, 1.3a and the third by rearrangement of 5.1.3b. These equations are explicit since, on calculation of any of

the unknohrns on the left-hand side, all the quantities on the right-hand side are known provided that Èhe s\¡/eep through the grid follows increasing values of !, and, for each 9" , increasing values of j . The equations 5.I.4 must also be evaluated in the order given above. The appropriate forms of these equations for non-interior points are given in Table 5.1.

5.2 The EVP Method

The solution, using the equations 5.1.4, is found by the EVP method described by Roache (tglz, p.L24). From Table 5.1, it can be seen that, for elements labelled 3 and 7, the value of tl,, is calculated according to equation 5.L.4a; the desired result of such a calculation is, naturally, zero, since the associated grid-point lies on a land boundary. Also, for elemenÈs labelled 11 ar'd 12, Çg,, is calculated according to 5.1.4b, the desired result being some knoqm input value along an oPen 53

5.L.4a 1 tQ =Q 7 tQ,, as in

Çe,, provisionally as signed Çe not calculated tg, =Q vr =Q j

2 tQ, I tr, , in 5.1.4 .l/, , l. not calculated Ì." Ça Í ÇQ,, l zzÞ tr, =Q tr =Q ,

(tr{estern open boundary) 3 rQ,, as in 5.L.4a 9

I J2, I tQ provis ionally ee l. not calculated ¡ as s igned I v I tt a A is given I Ça

I v as in 5 .L .4c 2

(I,rlestern open boundarY) 4 tg 10. un provisionallY x Ç2 x¡ not calculated t assigned tI Çg,, is given

Vnxrt =Q

11 ( Eastern open boundarY) 5 t.Q =Q I I t[, T Çe provisionallY assigned , ,! I v as in 5.1,4c A ÇQ,, as in 5.1.4 ^ I I lt I tR, j

( Eastern open boundarY) 6 tr, l2 , I I t[, eo, as in 5.L.4 I , , t( as in 5.1.4 A I to, Çs , tl = Q , j

numerical model and TABLE 5.1: The classes of elements for the linear their associated methods of allocation of values Èo 6, u and v /ZZZ indicates land, indicates a solid boundaryand--- anoPen boundary, while > u-point, x aÇ-Pointand a v-Point. ^ 54

boundary at the EasÈern extremity of the region of interest' Hence' it is necessary that those values (called starting-values) designated labelled 1 and as "provisionally assigned", namely, ee,j io elements

5andUninelementslabelledgandl0,shouldbesuchthatasweePx¡ I labelled through the grid produces the correct end-values for elements 3, 7,11 or 12 on calculation of 5.L,4" The correct starting values provisional are determined by finding the end-values produced by specific starting-values . Foraconsistentschemewithauniquesolutionthenumberof starÈing values, sây K, is the same as the number of end-values' The as they are encountered t\^ro Sets of values are numbered in increasing order in the scheme. For any seË of starting-values {sO, a = 1,"'rK}, the end-values s\deep through the grid produces a corresPonding set of ' 5 are linear' there is a o¿ = 1,...,KÌ. Since Lhe equations 'l'4 t€0- . the and the €o' namelY símple linear relation between "o

As + € -0 = (s, where : ,... ,s *)t : (Grr...ra^)t € is the end-vector Produced bY s=0 -o are generated by A is a KXK complex matrix whose columns is the Kronecker starting-vectors of the form fu = (ôul) where ô*l = - where is the delta. Thus, if I = A:g * :0, then 2p 1l 5o , *. l,th column of A. startlng- once these guantities have been determined, the correct vector, :*, is determined bY * s;t=[r(€ -€o)

(f+1) s\¡7eePs through the where e is the desired end-vector. Hence, then used in a final gríd produce Èhe correct starting-values which are throughout the whole system run to deÈermine the values of Ç, v and v 55

5.3 StabiliËv Cons is tency ánd Converqence

The concepts of stability, consistency and convergence are discussed in all books which deal with the numerical analysis of finite-difference methods.Roache(:-g72,P.7andp.50)givesaninformativediscussion of these features yet keeps them in their propef perspective with regard to an analysis of a finiËe-difference approximation (FDA) to a set of partial differential equations (pl¡). Consistency is simply the requirement that, as Ax, Ày + 0, the truncation errors (as evident in equations 5.1'3) rnust approach zero, so that the FDA aPProaches the PDE. As Ax, Ay + 0, the discrete solution must approach the continuum solution, that is, the soluÈion to the FDA must converge to the solution of the pln. This is usually hard to Prove as the FDA is used solely because the solution to the PDE is not knor¿n. Linear initial-value problems may use Lax's Equivalence Theorem to relate consistency and stabiLity to convergence. However, no analogous theorem exists for schemes such as the EVP method, which have no explicit time dependence and so cannot be classed as initial-value problems, nor for non-linear schemes. Ilowever, the FDA can be used to solve a simil-ar, but more simple, problem for which there is an analytíc solution, and a comparison belween the two can be used as a guideline as to the likely convergence of the FDA in more general problems. Probably the best Èest of convergence of the FDA is a comparison with field data, if adequate information is available.

An FDA is stabLe if the difference between its theoretical solution and its actual numerical solution remains bounded. This difference arises because of round-off errors. 56

5.3. 1 Srability

To deEermine the usefulness of the finite-difference model set up in Section 5.1, the error arnplification properties of the scheme need to be analyzed. This examination can be carried out by means of a discrete perturbation analysis (Roache (L972), Noye (1978))which, although lacking the methodical formulation of the conunonly used von Neumann stability analysis, has the advantage of providing a round-off error bound, rather than just the reassuring informaEion that (for a time- stepping scheme) repeated progressions through the grid will not increase the error wiEhout bound. In the analysis which follows, it is assumed Ehat both the depth, h, and the friction parameter, r, are constanË. The simplified finite- difference equations are

t[, ug. a{vo- vQ- + ôtÇl- 5.3. la j r,, - 1, j +1 - 1, j } ,, j

Çe ,r-r,, - ôl{U to,, - \l(wo-r,. * tl-r,r*r)} 5.3.lb

tQ,J = - ß riàf(,rÎ,- + rQ,j.r) + ôlr(60,, - qr,j-r)Ì 5.3.lc where

cr, = Ax/Ay ß=-ir¡+r/h 6t = 2Ax/B 62 = 2Ly/g ô, = 2it¡Ax/h.

1S from 5 .3. If the magnitude of anY error in ee,, lAql,, I then, lc, it can be seen that ô;' aEl,, ¡a.ro,, I = lAtp,,*, I = lg-t I 57

arid so, from 5.3.la,

lAk*,,¡ | * zcrlß-tô;t A ç0,,1* lô, ¡ Çr,rl

Finally, using these error bounds and 5"3.lb, the uPper estimate of the is error in Çp.* t, !

la fu*,,¡ | * {t + zoô'ôãt * ô,16rßl * lfß-'lo'o;'}lA çt,¡ I or

la Çl*r, ¡ | {r+ foltr+q21-%a*zaz

(ax)2 5.3.2 . # [1+02]n'] l¡ 60,, I where the notation of the analytic model is used, namely,

o--flw 0 = r/t¡h

The expression 5,3.2 indicates Èhat the scheme is unstable from the point of view that an error inÈroduced at any point is increased at each stage of the progression through Èhe grid. However, Èhe largest e:-tox occurs at ttre end-boundary in the x-direction (1, = m), and the error at any interior point is smaller than this end-error. Hence, by lirniting m , the number of grid-steps in the x-direction, the round-off error at L = m (and so for '1, < m) can be kept within a desirable range. Howeverr 5.3.2 also shows Èhat Ëhe error is smaller for smaller values of Ax and C[ so that some comPromise musE be made between having a small value for Ax and a sma1l number of grid-steps in the x-direction. Smaller values of cl can be achíeved with larger values of Ay, but this must increase the truncation error (as evident by 5.1.3) and, once 58

again, some compromise must be made between having small round-off error propagatiori charact.eristics and having an acceptable truncation error. If an acceptable value of Ax results in a grid which does not cover the region of interest, double precisíon can be used so that a useful number of significant figures can be retained at the end boundary of a larger grid; hor^rever, this increases the computer memory and time required for calculations and so limits the usefulness of the model. Nevertheless, it has been found that, for regions which are not too extensive, the amplification of round-off errors does not limit the use of equations 5.1.4 in describing tidal proPagation. The results of the application of these equations to the Gulf of Carpentaria, Australia, are given in Chapter 6. The model values used ate

Àx=13km o=j I h>5rn lOl * .5 (using a latitude of r2L""s),

so that the error amplification, given by

1.5314 la Er*r, ¡ | Çt,,1

is not too restrictive, and the maximum error in the end-condition, using m = 25, is - 10-s, which is acceptably smal-l.

5.3.2 C onsistencv The Taylor expansion approach used to obtain the finite-difference

equations may be reversed for an analysis of the schemets consistency. Thus, for example, each variable in equaÈion 5.1-4a may be expanded about the point (x,y), corresPonding to the posiÈion where tr-r,, is calculated, to yield 59

a (hu) + rn"r = io6 - (ax),[å" .',* âx f, *. å *. ## #] ¡2 a2n ah dv 2 a3h n ð3vl (Ay)2 [â.r + + +o(ax3,ay') - Lç ¡-;' 4 ãt 6f á"ãF.ä#l

Hence, it can be seen that, as Ax , Ay + 0, 5.L.4a approaches equation 5.1.lc. Similar results are obtained when the process is applied to the other two equatíons, indicating that the FDA given by 5.1.4 is indeed consistent r¿ith Èhe PDE 5.1. 1.

5. 3. 3 Convergence

The convergence of the system ís tested by using the equations 5.I.4 to find the solution for the exact situation as is modelled analytically in Chapter 3. The results, indicating satisfactory convergence, are presented in Chapter 6.

5.4 The Friction Parameter

The form chosen for the friction parameter is that given as 41.5 in Appendix 1, that is

-=9-L,,'3lrc2'mt with C, the Chèzy coefficient and V* some estimate of the maximum magnitude of the velocities. Using a value of .030 for Manningrs rl'

5.4.1

The value of V- has been modelled in two r^tays:- (i) v is constant over the whole region and is chosen as an m estimate of the mean value of Ëhe maximum rnagnitude of the velocities as given by the analyEic model for the dominant component (if it exists) and (ii) vr' varíes with the grid point according to 60

Input from analytic model gives open boundary values and, if T = TD, the first estimates of r u'v.r

NO

YES Read values of ru rt" off the friction file createdby T=To

EVP l4ethod

NO

t.t u'v

Has iteration converged?

YES + Store values of rrr rr, on a file Ëo be used if t # Tn

PrinL Re lts of 6, u, v

FIGURE 5.2: Flow chart for the linear numerical model, indicating iterative calculation of the frictíon paremeter ' TD is the dominant tidal period' 6L

v, v = {(u* )2 + (t. )'zÌ ttÎ, j 2' l

v i (u* )2 + (vï, .)'\h , 5 .4.2 *tr,, 9, I x, J where

= \{vx fv* *v* *v* Ì "*2, i [, j l, i +r [-t,i+r l- t, j

u* = |{s* f u* {u* *u* Ì 2ri 2,i l+t,i [+ 1, j - 1 [, j' t

the *ts indicating that the values used are those obtained as a previous

EVP the values Vmu!, urrl,, thus found by iteration solution. j , "t. as shown in Figure 5.2, If a dominant tidal component exists, the

iteration of the friction Parameter is carried out only for Èhis component. The values are then stored on a file to be used for any

other component in accord with 41.6 ' Henee, in general

t _413 r h = U .OO744ln v*t9,, t[, j tQ, j uÎ, ¡

-413 , h-r = U .00744 h v*tl, tQ, j tÎ, j tl, i i

given by 5.4.2' and where u*"0,, ''*t[,, are either constant or as

1 if the component is a dominant tidal component u= { 1.5 if the component is not dominant.

5.5 A Non-linear l"lode1

A non-linear model has been developed to provide a comParison with the tínear model. The relevant eguations of motion and continuity are those given as 2.1.1 in Chapter 2, omiËting all the external inf I'uences 62

accumulaled in the term I . These equations, written in component form with the noÈation of Chapter 2 are

ð + = Q 5.5.la ðt 1¡+z).fr f(tr+z)ul ¡| trn*zlv1

ðZ À cax - gçgz+vz)k 5.5.lb P.uP*v+-fv=-dt dx dY (¡+z)43

àz av. + ug-ðx * ylJ'âv * i u = - gÚ +- v(ts2*v2)hv\u rv / , 5.5.1c -a. ' ø.rg where Ëhe form A1.3, as discussed in Appendix 1, has been chosen for Y, that is

,( = X/ç¡*z)at , wíth À a constant, associated with a constant value of Manning's n' The grid is composed of elements, exactly as described in section 5.1. An explicit, forward-time, centred-space finite-difference aPProx- imation to the equations 5.5.1 is used, following along much the same in lines as that used by Flather {og72). The approximations are found The the same nannei ;Ë :hat given for equation 5"I"2 in Section 5'1' notation is the same as used in that section with the addition of a superscript to designate the time level at whictr differenE quantities Thus denotes Z evaluated in are used in the calculations ' 'i:i the (L,j)th element at time t = nAt, At being the time increment' The approximations to equations 5'5'1 may be written

n+1) n) At n) zl ,i (tr*z( ") ) u[ +1, j ,j ,j 2L" l.+ r, i

v n) q:]., - {r,*z(")) v[ 5.5.2a *_{<*r.1,i., 2,i 63

n+ 1) n) At n) L u[ u[ - u[ ,j ,j 4Ax 4:l{'[lì,, - l, j I

At n) t n) - u[ j" - R(") uI 6 4'ì {'[,]., , t I ^t tl, j ,j

1 + n) At n+ I ) 5.5.2b At fv) -2ñ.e {,i ,i 4ri:ÌÌ

n+ 1) n+1) v[ _^rñ - ,j 4tÌ 4Ax "l ,i {41ì,, '[]1,, ]

At v[ - - ñ lì{4:1., 4lì.'} ^'d;l 4:Ì -^Ëf4 -'[:;]Ì] 5.5.2c l;" #*{'[:;" ' where

, = 4{hg,, .'lil + no- ,,, * t[]Ì,, ] n) = 4{nQ,, * rli', * no,, * r;. Ì , -, ¡ j' l

n) n) n) * u[ + u[ q = äiu[:l . u[TÌ,, +1,j-1 ¡j'l

qlÌ = å{v[:l . u[:]., * v[]),,,., * u[]1,, ] *,}-" R( ") = À{(n*l;t;o icu["] )' . (q:',)']* 5.5.3a tl, j n) . . 5. 5. 3b R( = -¡ , t-"' {(q,ì1'z rv[]',r'r' tl, j ^tt

l4odified forms of these equations are required if the elemenÈ is adjacent Ëo a boundary. The classes of elements are the same as those for the línear model and are given, wiÈh the appropriate finite difference forms associated with Ëhem, in Appendix 4' 64

5.6 ConsisÈencv. Convergence and Stability

The analysis of the consistency of the non-linear FDA is carried out in the same manner as for the linear scheme. By expanding each variable in the equations 5,5.2 as a Taylor series about the position and time at whích the first quantity on the right-hand-side of each equation is evaluated, it can be shown Èhat the FDA differs from the PDE, 5.5.1, only by a truncation error of 0(A*2 ,Ly'rAxAy,Àt ). As Ax, Ay, At -+ 0, it can be seen that the FDA approaches the PDE and so is consistent' For the area in which the models Í/ere applied, it was considered unlikely tha¡ the non-linear advecËion terms would greatly influence the elevation of any fundamental frequency (though they would probably have a greater effect on the velocities and on any harmonics, as shovm by, for example, Flather (L972), and Flather and Heaps (1975)). The friction paremeter in the linear model vras an adapted form of the frictionat term in the non-linear model. Hence, the convergence of the non-linear FDA has been determined by a comparison of the results of the linear and non-línear models as shown in the nexÈ chapter' The likely srabilíty of a non-linear system is assessed by an investigation of the appropriaÈe linearized problem:

n+ 1) n) hAÈ n) n) zl zí -ñ { -4ll ]-H{u[,]., -4 Ì 5.6. la ,i ,j 4 +1, j ,j

n+ I n) n) At n+ I ) n +1) ) u[ -RÂt z{z(, zl j Ì 4 ,l 4 ,i 2Lx ,j 1,

n) n) . + * + u[]ì,, ] 5.6.lb rft4 ,j 4lì., 4- 1, i +1

n) At ¡-(n+t) o( n+ 1) n+1) - *r gt"o,j - og Ì j' 1 4 ,j 4 tJ 4,ì ñ '

( n+1) n+ 1) * up + u[ + 5. 6. lc - rfru[i;" +1, j +1, j - I 4, ilìt

with R and h constants. 65

Using a von Neumann analysis (see, for example, Roache (L972)),

the Fourier components of the solution for each Z, lJ, v may be written

.' k Ax n k"Av z( 1k*ax+j k"ay) ( =(A' e x c ¡"i 5.6.2 ,l:l ,,ro:Ì ,4:ì ) ,B' "l where At rBo ,Ct are the amplitude functions at time t = nAt, kx is the wave number in the x-direction, for any component, k, the wave number in the y-direction and i = vq.

Defining 0* = k* Ax 0vv =k Av

-:-Ar 0 = Axxs1n U

At sin 0 ß= Ay v € =RAt

ô At cos 0 cos 0 =f x v

and using 5.6.2, the equaÈions 5.6.1 may be rewritten as

n+ I A =A'-ihoBt-ihßc" n*1 B = (1Æ)n" - igcr An*l + ð c' n+1 c = (l-€)Cn - giß An*l - ô B'*t which can be rearranged into the form,

n+ A n+1 B G n+ I C tl where 66

I -íha -ihß

-iga 1-c-ghcr2 -ghoS+ô Ç=

{ igcrô { -ghoß i l-e-ghß2

-ießÌ -51 1€-ghcr2 ) Ì + ghcrgð-ô2]

The characteristic equation of this matríx is

-À3+arÀ2+ a"X+ â3=0, 5.6.3 where a' = 3 - 2e - ô2 - gh(o'*g') + ghaBô dz = - 3 +48 - e2 + ô2 + (1€)gh(o2+92¡

- ehoßô as = ( L<)2

scheme, < 1 for all 0 0 For For a strongly stable lfl x v the case of / = 0 , 5.6.3 may be factorized as

11-e-À){À2 + À[-z+€+gn(o2+ß2)] + (1-€)]= o, so that the eigenvalues are

ÀI = 1-€ I 2r 3 =Dt{o2-(L<)}Y' where D=1-; !@'*ø').

< 1 From these values , it is f ound t'hat I i I if e<2

and 7.+(o.2+82)

or S.r

RAr 1ì and * tntl' + < 1. 2 f {*+ i^.' 1

(fnis second condition may be slightly over-rèstríctive depending on whether or not (0* = trf 2, 0" = tr/2) satisf ies the co¡rdition

l7.+ (a2+s2']" gtr(az+ß2)' )

This is a subcase of the conditions determined by Flather (L972) '

An explicit expression for the eigenvalues, À, cannot be found whea the Routh-llurr¡itz R # 0 r f # O but an analysis is possible usíng criteria set out in Appendix B in Leendertse's (1967) paper' The analySis is given in detail by Flather and the resultíng conditions which ensure stabílíty are

(n +lf l)lt < z 5.6,4 and + . . t f c* * lr l) f ta.l'{ro# urL,J 68

CHAPTER 6

APPLICATIONS TO THE GULF OF CARPENTARIA

6. I The Gul f of Carpentaria

The rnodels developed in the previous chapters have been applied to Ehe Gulf of Carpentaria and the adjacent waters. This Gulf is located in the North-Eastern parÈ of Australia, between latitudes 10oS and 17oS and longitudes 135"E arrð l42oB. It has a roughly rectafigular geometry, a surface area of about 1931000 kmz and a relaÈively smooÈh bathymetry. It is a shallow area, the greatest depths being about 70 m, the nearest deeper hrater occurring either East of Torres Strait or in the Timor Trench. Figure 6.1 shows the overall geography of the area and the depth contours in metres (after Rochford (1966))'

6. 1. 1 Tidal Measurements

The amplitudes and phases of the four main tidal components at various places are given in the AusÈralian National Tide Tables, L978.

These components are Solar Diurnal (r¡) wittr period 23'9 hours Lunar Diurnal (Ol) wittr period 25.8 hours Solar Semi-diurnal (Sz) with period 12'0 hours and Lunar Semi-diurnal (Mz) wittr period 12'4 hours' However, all measurements are taken eiEher very close to the mainland or on islands. The value of such measurements in providing a comparison for tidal models is questionable, since the data ís collectedilin the midst of the very coastal features most likely to exert anomalous effects on the phase and amplitude of the tide" (HendershoÈt and Munk (1970))' 69

N"

I \ I \ Ð

70 00 50 4 \ 0 ¡ t I I I I I I t I I I , II 60 II I I s Þ o

FIGURE 6.1: The Gulf of CarpenBaría and adjacent waters. The depth contours are shown in metres (after Rochford (1966)). 70

6.L.2 Tidal Studies An outline of the tidal features of the Gulf is given by Easton (1970), though his co-range lines are not very informative. He states thatttthe presence of a cenlral amphidromic point is suggested by the diurnal amd semi-diurnal components; further nodal points occur probably near Karumba and Groote Eylandt." Cresswell's (1971) study suPports the suggestion that "lhe diurnal r^rave travels clockwise around the perimeter of the Gulf, pivoting on some as-yet-unknown amphidromic point within the Gulf." ltilliams Q972) has studied the response of the Gulf to tidal forcing by means of two analyt.ic models, one without the effect of the Coriolis force (also published in Buchwald and I,Iilliams (1975)) and the other including rotation. Both of these studies neglected the effect of dissipation of energy by bottom friction and the Presence of tidal forcing through Torres Strait. Calculations by Mi1ler (L966) indicate thaE approximately 102 of the toËal lunar tidal flux out of the deep oceans enters the and is dissipated in the vicinity of the Gulf of Carpentaria, so that the inclusion o.E sùme energy dissipation mechanism would aPPear to be almost mandatory. According to Teleki et al (1973), "the bottom friction should be of considerable amplitude for the entrainment of the fine grain size sediments found in the Southern part of the basin." Bottom friction is the mechanism chosen to model dissipation of energy ín this thesis. Torres Strait, complicated by its array of islands, shoals and atolls, is very shallow in comparison with the Gulf and, for this reason! tr{illiams (lrg72) considers the Strait as a land barrier. However, during certain periods of the year, there is subsÈanÈial water movement through

Ëhe Strait into the Gulf (see Newell (1973)) and so its effect on the tides in the Gulf is considered in the model developed in chapter 4. 7T

P.N .G.

ARAFURA SEA

JUNCTION Wed

( region 3 ) ( reg ion 2,

IPA

CALEDON RESO NATOR

( N region 1 )

N.T. GULF OF EYLANDT CARPEN TAR IA OLD. HT EDWARD \ PELLEW PORT P

KARUMBA

FIGURE 6.2: The boundary approximation for the analytic models, showing the regions into which the area is divided. 72

l,Iilliams (1972) includes a depth discontinuity between Èhe junction and the resonator but uses a constant depth of 91.5 m in the channel

(regíon 3) and junction. Frorn Figure 6.1, it can be seen that a better approximation would be a depth discontinuity between the channel and the junction.

Figure 6.2 shows the rectangular resonaLor-channel system which has been used in this analytic study of the Eidal propagation in the Gulf of Carpentaria. The dashed lines indicate the common boundaries of the regions into which Èhe area has been divided and also the discontinuity in depths as modelled in Chapters 3 and 4.

6.2 The Analy tic Model of ChapÈer 3

The values of the various constanÈs used in Chapter 3 are a=468km b=390km d=468km h1 =55m h2=60m

hg = 91.5 m Í =-3.1 x 1g-s"-t (corresponding Èo latitude I24oS).

The friction parameter used is that given as 41.5 in Appendix 1, that is

8 ç=- _g_ v '31r ç2 m

Using n = .030, this may be written as

u3 t. .oo744 h. v j = 1 ,2,3, 6.2.L J J 1 73

where the value of v is found, by trial and error from the ¡42 tide, mj to be

-l v = .35 ms j = I1213, 6.2.2 Ill , J

With these parameter values, the assumption that the inprt wave may be approximated by the form 3.2.8 which neglects all modes other than the Kelvin ü/ave, must be justif ied.

Consider any comPonent -ß x+iu'e x 6o(x,y) =oo e Q Y(y) where Y(y) is a sinusoidal function of Y,

% is a constant,

r Ir k;-' = ill * tßn with Bg > 0, ilt > 0.

All such componerits decay exponentially as x becomes less negative.

To neglect the components with 9" > L, it is required that

e uGa,v) << 1 and aa 1r ÇL -L'Y 6 .2.3 where (L-a) is the effective length of the input channel (1, > a). Now, >> ßo (a-L) < O and if lßo {r-1,) i 1, rhen 6.2.3 follows. Since, for the above parameter values, it is found that

ß <<9t<32< 0 it is sufficient that L-a >> 1/ßr for it to be possible to neglect the ylz Poincar! wavês. In fact , Ilßt ^' 151 km for the tide (this being the dominant tide in the area) and the effective length of the input channel is greater Èhan 500 km. Hence, it may be considered that the form 3,2.8, 74

that is

( o) ik x- K¡ y 6o (x,y) =g is a good approximation to the tidal input for the Gulf of Carpentaria. It would not be expected, though, that the results present an accurate picture of tidal propagation farther up-channel, away from the channel/ junction boundary.

The tide aË Jensen Bay (see Figure 6.2) is used as the reference point for Èhe scaling of the resPonse as described in Section 3.2.

6.2.L Convergence of the Galerkin Method Using the above parameter values and the N72 tide, the convergence of Èhe Galerkin method is tested by checking that the residuals of each of the conclitions in Section 3.5 become smaller as the value of N is increased (see Appendix 2).

(1) The errors in Condition 3.5.1, Çz(-a,Y) = 6s(-a,Y), 0 ( y < b are presented in Tables 6.la and 6.lb" The percentage error is calculated according ro rhe rarío Lll;rl , wheo A - llerl - lr,rl l, ot. Lltre(ez) ¡¿hen [ = larg(6a) - lrg(62)l The errors in both the amplitude and the phase can be seen to become acceptably small as N is increased. The largest errors occur aÈ the two ends, Y = 0 and y = b, though the error at y = b is less Ehan L% for N = 6. The larger error at (-a,0) could be accounted for by the erroneous nature c¡f the condition on the velocities at this corner (see SecÈion 3.1).

Q) The convergence for the condition 3.5.2, hzvz(-a,y) = h3u3(-a,y), 0 < y < b, is much faster than for the previous condition, as can be seen by Table 6.2. The percentage error is calculated according Ëo the ratio L/l1zuzl , where - lttrl"rl -trl"rll; a zero is entered in the table if ^ A < .005 and Èhe percentage error is less Èhan '057" 75

vlb N=2 N=4 N=6 N=B

o/ A A A A

0 .07 5 LL .47 .056 8.75 .046 7 .20 040 6.20

Llto .003 .47 .016 2.17 .016 2.t6 .009 1.28

2/L0 .024 3.L7 .011 t.44 .005 .7r .006 .85

3/to .023 2.93 .008 1 .03 .003 .38 .005 .61

4/to .008 1 .01 .007 "94 .006 .69 003 .4L 5lro .008 .94 .004 .52 .003 .33 .002 .23

6/Lo .015 1.88 .006 .80 .oo2 .23 0 0

0 0 7 lLo . 013 1.56 .002 .2r .004 .46

8/ 10 .003 .35 .007 .75 .002 .18 .001 .2L

.002 .28 002 .28 9 /ra .009 1 .04 . 001 "03

1 .019 2 .08 .009 1 .00 .005 .62 004 .44

TABLE 6.la: The error in the amplitude in condition 3.5.1, Çr(-a,y) = 6,(-a,y), 0 < y { b' using the Galerkin t.echnique, for increasing values of N' _ r= | lc, I le,l I 76

vlb N 2 N 4 N 6 N I

ol o/ A 1¿ d A A

0 .028 .37 .015 20 .01 .13 007 09

Llto .005 .06 0 0 0 0 0 0

2lLO .007 .09 004 .06 0 0 0 0

3lr0 .008 .11 0 0 0 0 0 0

4lro .004 .06 0 0 0 0 0 0

5 /LA 0 0 0 0 0 0 0 0

6/ Lo 0 0 0 0 0 0 0 0

7 /r0 0 0 0 0 0 0 0 0

8/L0 .004 .05 0 0 0 0 0 0

9 lLo 0 0 0 0 0 0 0 0

1 .013 .L7 .010 .L2 .008 09 006 o7

TABLE 6. lb: The error in Èhe phases in condition 3.5.1,

Çr(-ary) = 6r(-a,y), 0 < Y < b, using the Galerkin technique, for increasing values of N. [ = lerg(e) - e'e(qs)l 77

vlb N=2 N=4 N=6 N I

ol 7" A 7" A A

0 0 0 0 0 0 0 0 0

rlt0 .006 0 0 0 0 0 0 0

2/L0 .005 0 0 0 0 0 0 0

3/ro . 014 .09 0 0 0 0 0 0

4/ro . 010 .08 0 0 0 0 0 0

51rc .005 0 0 0 0 0 0 0

6/LO .o2L .16 .008 .05 0 0 0 0

7 /L0 .024 .i7 0 0 0 0 0 0

8lL0 .006 0 0 0 0 0 0 0

9 /L0 .023 .L4 0 0 0 0 0 0

1 .044 .27 .02 13 01 09 .01 06

TABLE 6.2: The error in the amplitudes of condition 3.5.2, hrur(-a,y) = h.ur(-a,y), 0 < y < b, usíng the

Galerkin technique, for increasing values of N

[ = | In.url - lt'r"rl I 78

*r a N 2 N 4 N 6 N=8

o/ i/ A A A A

0 .029 3.78 . 010 r.37 .006 .73 .003 .46

rlL2 .023 3.12 .004 .55 . 001 .11 .002 .31

2lL2 .006 .83 .008 t.24 .006 .87 . 001 .15

3l12 .016 2.75 .010 L.82 .003 .43 .004 .61

4lt2 .033 6.92 .001 "20 .005 1. 15 .004 "78 .001 .24 5 /L2 .035 10.36 .013 3. 59 .005 1.38

6lt2 .020 9. 99 .009 4.06 .006 2.46 .004 1. 58 .005 8.84 7 /12 .006 9.L7 .007 t2.65 .007 10.48

8lL2 "044 56 "77 .020 L6.95 .003 3.01 .004 4.54 .001 .58 9 /L2 .060 28.75 0 0 .004 5.50

TOI12 .043 L2.27 .032 8.74 .003 .70 . 011 2.74

LLIL2 .028 5.59 .020 4.r9 .o27 5.50 .022 4.28

1 . 163 24.96 .1_04 16.05 .080 L2.33 .066 IO.2L

TABLE 6.3a: The error in the amplitude in condition 3.5.3, 6r(x,0) = Çr(x,O), -e < x < 0' using the Galerkin Èechnique, for increasing values of N

r=llerl -le,l I 79

N 2 N 4 N=6 N 8

o/ t/ o/ A A A

0 .02L 1.03 .005 .24 .002 .10 .001 05

LlL2 . 010 .51 0 0 .001 .07 . 001 05

2/L2 .004 .18 .005 .24 0 0 . 001 .06

0 3/ 12 . 018 .92 .002 .10 " 004 .18 0

4/L2 .029 r.44 .008 .40 .002 .08 .008 .13

5l L2 .019 1. 35 .oLl .86 .007 .37 .004 .19

6lt2 .008 .39 .008 .40 .002 .11 .002 11 3.60 7 /L2 .383 16.16 .2t9 7 .60 . 161 6 .06 .092

8/12 .004 .05 .084 1. 13 .035 .47 .006 08 9/L2 .010 "t4 .027 .34 .004 .05 .009 .11 n/ L2 .019 .25 .013 .17 .013 .16 .006 o7

ú/ I2 .031 "4L .010 .13 0 0 .004 .05

1 .009 .13 .005 .07 .004 .05 0 0

TABLE 6.3b: The error in the phases in condiÈíon 3'5.3, 6r(x,o) = Çr(xrO), -â { x < 0, using the Galerkin technique, for increasing values of N [ = lArg(Ç") - erg(er)l vlb 0 1/ 10 2lro 3/LO 4lto 5 /L0 6/LO 7 /LO 8/ 10 9 /ro I

N=2 .0038 .0023 .0006 .0033 0041 .0021 .0020 .0059 .0061 .0012 .0189

N=4 .0012 .0001 .0012 .0005 .0012 .0009 .0014 .0015 .0021 .0029 .0106

N=6 .0006 .0003 .0003 .0006 .0003 .0005 .0009 .0005 .0009 .0025 .0073

N=8 .0003 .0003 .0002 .0001 .0001 .0003 .0005 .0007 .0009 .0014 .0056

calculated using the Galerkin technique, for TASLE 6.4: Values of l,tr(O,y) I

increasing values of N æ

1 */t 0 Llt2 2lt2 3/L2 4/L2 5 /L2 6 /12 7 /12 8/L2 9 l12 LO /T2 IT/L2 al

.0005 .0025 .0037 .0027 .0017 .0101 N=2 .0014 .0013 " 0006 0007 .00 18 .0021 .0013

0 .0018 .0011 005 7 N 4 .0004 0003 .0003 .0006 0 .0007 .0005 .0005 0011

0007 .0001 .0013 .0039 N 6 .0002 0 .0003 .0001 0003 .0002 .0003 .0004 .0002 .0001 .0005 .0010 .0030 }]= 8 .000 I 0 .0001 0002 .0002 0 .0002 .0003 .0002

(*,-¿) calculated using the Galerkin technique, for TABLE 6.5 Values of ltt I increas ing values of N 81

(3) Tables 6.3a and b indicate the error in condition 3.5.3,

Çr(x,O) = Çz(x,O), -â ( x < 0. The residuals of this condition are also seen to decrease as N is increased, however, a comparison with Table 6.1 shows that the convergence is slower than for condition 3.5.1. Except near x = -a, there is error only in the 3rd decimal place when because of the N = g, but the percentage error is still hígh; this is smal1 amplitude region associated with the arnphidromic point as seen in Figure 6.5, which shows the co-amplitude and co-phase lines for the N12 (-a,0) tide. Once again, the largest error in the amplitude occurs at

(4) Table 6"4 shows the error in condition 3.5.4, u2(0,y) = 0, 0 < y < b. satisfacÈory convergence is obtained as N is increased. ( (5) The error in condition 3'5'5, v1(x,-d) = 0, -a < x 0' is shown in Table 6.5. This also sholnls satisfactory convergence as the value of N is increased.

The condition hlvl(xr0) = hzvz(x,0) is satisfied exactly in Section 3.4 and Èhe error htas correspondingly found to be zeto.

6 .2.2 Corrver Us ing the Collocation Method since the mathematicalmanipulationusing the collocation method is less work Ehan for the Galerkin technique, the same situation was prograrEned, using this simpler meÈhod, Èo comPare the rates of convergence'

The results for condiËions 3.5.1 and 3.5.3 are shown in Tables 6'6 and 6.7 respectively. I^Ihereas the errors do decrease as N is increased, the rate of convergence is slower than for the Galerkin technique' The zero entríes in these tables correspond to chosen collocation points. The figures in brackets in Tabl-e 6.7 for N = 2 are calculated according ro rhe ratio L/lerl instead of LllÇzl since Ehe latter ratio gave an error of greater than IOO7", distorting the indication of accuracy. 82

vlb N 2 N=4 N=6 N=8

lr d A /"

0 0 0 0 0 0 0 0 rlL0 .084 .076 9.98 .050 6.67 .022 3.01

2/LO .104 .032 4.09 .019 2.56 .02L 2.8L

3/10 .082 .o23 2.98 .013 r.7I . 014 L.79

4lL0 .040 .028 3 .53 .016 1 .93 .006 79

0 0 0 0 5 lL0 0 0 0

6l 10 .025 .016 L.92 .009 1.08 .004 42 .004 .51 7 /L0 .031 .008 .89 .004 .49

8/Lo .023 .006 .66 .003 .36 .003 "37 .43 .002 .t7 e /rc .010 .007 .78 .004

I 0 0 0 0 0 0 0

TABLE 6.6: Errors in the ampliËudes in condition 3.5.1' Çr(-a,y) = E,(-a,Y), 0 < Y < b' as calculated using Collocation, for increasing values of N r=llrrl-lrrll. 83

*l N 2 N=4 N 6 N=8 a

ø/ o/ A 7" A 7 A ^

0 0 0 0 0 0 0 0 0

rl12 .007 .96 .004 .51 002 30 001 .16

2/12 .026 3.82 .008 0 0 0 .003 .38

3/12 .047 7 .98 0 0 008 L.26 0 0

4 /12 .056 12.02 . 018 3.63 0 0 .006 1.18

5/L2 .042 12.63 .o24 6 .48 .014 4.06 .008 2.t3

6l12 0 0 0 0 0 0 0 0

7 lt2 .026 4r.63 .026 57.30 017 27 .t4 .010 L9 .44

8/L2 .r43 200.48 "052 35.90 0 0 .018 16.98 (66.51) e /L2 .201 L}t.24 0 0 .043 15 .08 0 0 (50.0) LO/T2 .2L3 63.32 .090 24.34 0 0 .034 8.28

LLI 12 .L52 30.93 .r28 26.74 .093 19. 16 .056 11.36

1 0 0 0 0 0 0 0 0

TABLE 6.7: Errors in the amplitude in condition 3.5.3, 4r(x,0) = Çr(x,O), -a ( x ( 0, using the

Collocation method, for increasing values of N

r = I lr,l - le,l I . 84

The comparison of Table 6.1 with 6.6 and Table 6.3 with 6.7 jusÈify the use of the more comPlicated Galerkin technique '

6.2.3 The F Response of the Gulf lrrilliams Qg72), using a Gulf \^ridth of a = 480 km, found the resonant periods of the Gulf to be 7.86 hrs, 10.35 hrs and 16.0 hrs' His frequency-response curve is based on the amplitude at Karumba and is shown in Figure 6.3. It displays a broad maxímum over the periods 15 ' 5 hrs to L7,0 hrs raÈher than a resonance peak. On the basis of this figure, he uses a period of 11.8 hrs for the semi-diurnal tide rather than 12.4 hrs. since bottom friction will tend to damp out oscillations, and in order Èo find a Gulf width which produces a resPonse which agrees with the observed resonance oscillations of 10.6 hrs and 16.0 hrs (Uelville and

Buchr¿ald ( 1976) ) , the frequency resPonse curves lvere determined for several different Gulf widths. These curves rePresènt the amplitude at Karumba in response to a unit amplitude at Jensen Bay. The results for a = 468 km,

520 km and 546 km are presented in Figure 6.4. Each curve shows a marked

resonance near 8.5 hrs, the peak values being 22.2 m at 8.3 hrs for a = 468 km

26.3 m at 8.5 hrs for a = 520 krn

24.6 m at 8.6 hrs for a = 546 km'

Melvi1le and Buchwald ( Lglù indicate that there is some evidence

of resonance activity at a period of abouÈ 8.0 hrs. using Figure 6'4, the width of the Gulf was chosen as 468 km since this gives the best

agreement with observed resonant frequencies as well as a low arnplitude for the period of L2.4 hrs. The co-amplitude and co-phase lines are shown for Èhe l4z tide in

Figure 6.5 and for the K¡ tide in Figure 6 ' 6 ' 85

8,0

6.0

o.D o lr'0 lUo f Þ =fL

Iz k trj J 2.0 trJ

0 712 172227 TIDAL PERIOD (Hours)

FIGURE 6.3: The frequency response at Karumba according to l{illíams (L972), with a = 480 km' 86

a=546 km I

a= 52O km

I a= lr.0 468 km. I

I

I

3.0 I Â I ,t I I I pah I I I o I I

ou.l I ? 2.0 t ù:i

I I I I z I , I k , tlJ J I I UJ I I I 0 t I I I I tj t I I I I I t I , I \ I I /

0 7 I ll r3 15 17 19 21 23 T]DAL PERIOD (Hours)

FIGUR-E 6.4: The frequency response at Karumba for various Gulf widths. B7

\e \ / roo \ / \ 1.5 \ / a \ I / 80 40 o

-- -6.

I

I \ 20 I ---/ \ \2 lor \ 2.51 I ß \ 40 { I

9-1

FIGURE 6.5: The co-amplitude and co-phase lines for the Mz tide according to Èhe analytic model of Chapter 3. The amplitude, is shown in centimetres and the phase -s, in hours. 88

5 6

I I I I \ I t t I 40 I t I 10 t \ I \ \ I Þ \ I \ \ \ \ I \

t. --' -t--12 I 1'-' tt t, I o o tl \ o I 20 I \ I \ I \ I 30 \ \ 17 19 \ 40 t \ \' 8 I

FIGURE 6.6: The co-amplitude and cc-phase lines for the K1 tide

according to the analytic model of Chapter 3 ' 89

6.3 The Analy tic l{odel of Chapter 4

As well as the constants specified in the previous section, the values

w1 = 156 km

wz = 234 km ha=10m I v = .70 ms m 4 were chosen for the model which considers the effect of tidal forcing from Torres SÈrait.. In the manner described previously, the effective length of the input channel is required to be greater than 57 km. If the channel is extended out to the islands and reefs on the Eastern side of Torres Strait, the channel length may be considered as greater than 100 km, so that, once again, the Kelvin !{ave is a reasonable approximation Èo the inPut wave in this channel.

The method described in ChapÈer 4 is applied to the region depicËed in Figure 6.2, so that the second connectíng channel occupies theregion wz

6.3. 1 Convergence using the Galerkin Technique

The resíduals of the conditíon (i) to (v) in Section 4,2 showed, as would be expected, the same convergence as Èhose in Section 6.2.1 and so the results are not presented here. The errors in condition 4.2.7, ez(O,y) = çu(O,y), \úz ( y < b are shown in Table 6.8. The residuals of this condition appear to be smaller

Ëowards the centre of the channel for N = 4 than for N = 6; this is due to the manner of choosing points for presentation in the table 90

vlb N=2 N=4 N 6

o/ l-\ A /" A /"

6/Lo .007 .63 006 .52 .003 .29

001 7 /L0 .005 43 0 0 .t2

8/ 10 .004 .35 .001 .05 .003 .14

e lr0 .007 59 001 .08 .003 .24

1 .o23 L.99 .008 .68 .006 .51

TABLE 6.8: The errors in the amplitudes in condition 4.2.7, Çr(O,y) = 6u(0,Y), wz < ! < b, using the Galerkin A technique, for increasing values of N' - I lerl lru I

vlb N=2 N=4 N=6

/" A 7" A /"

5L.7 4 6lL0 3 .011 57 .90 2.600 49.57 2.784 I.T7 .243 4.76 7 /ro I.962 36.81 .061

8/ 10 .649 L2.09 .426 8.0 .287 5.39

elL0 .762 14. 13 .27 3 4.85 "455 7 .99

.624 11. 5 1 r.929 34.12 .335 6.09

= h,,t4(0'y) TABLE 6.9: The errors in the Condition 4'2'8, hzuz(O'y) ' for íncreasing wz < Y < b, using the Galerkin technique' values of N. [ = ltt, 1", I -lttu l"u ll 91

vlb N=2 N=4 N=6

0 .0059 .0053 .0043

rlL0 .0046 .0001 .0021

2/Lo .0021 .0058 .0025

3lL0 .0033 .0004 .0051

4/t0 .0102 .0088 .0039

5/LO .0211 .0044 .0024

TABLE 6.10: The values of lur(O,y) l, O < Y < wz using the Galerkin techníque, for

increasing values of N 92

(spacing of 39 km across the channel, the same as in the previous tables).

In fact, the error is comparable for N = 4 and N = 6, the convergence being very slow. However, the error at the channel wa1ls is smaller as N increases, so that the overall error may be considered to decrease wiÈh increasing N The convergence for part of condition 4.2.8, that is , hz,¿2(O,y) = hr+u¡+(Ory) r n2 € y < b, is slow, as shown in Table 6.9, though the error is less than 10% away from the sides of the channel for N > 4.

Once again, the higher errors for N = 6 are a little misleading as the overall error is similar to that for N = 4. The large error at Y = Íñ2. is probably caused by the condition on the velocities at this corner which is simílar to the condition at the corner (-a,0). The errors at

Èhis junction, rdz < y < b¡ are generally highet than for the other matching conditions. This is possibly due to the large relative change in depth , being 827" aE this boundary buË on1-y 347" at the boundary between region 2 and region 3. However, the other part of condiÈion 4.2.8, u2(0,y) = 0,

0 < y 1 þr2: shows satisfactory convergence as N is increased as indicated by Table 6.10. The percentage fÍgures in Tables 6.8, 6.9 are calculated wlth reference to the values in Region 2. The case of N = 8 for these conditions is not shovm as 1t re- quires over 200K words of Central Mernory on t'he comPuter '

6.3,2 Convergence using the Collocation Method

Because of the slow convergence of condition 4.2.8 using the Galerkin technique, it was decided to try CollocaÈion for comparison, âs, intuitativelyrbetter results mey be expected from the latter method for this, virtualty, two-in-one condiÈion. However, as for Èhe results in SecÈion 6.2, the errors were larger and the convergence slower when

Collocation \das used. 93

7.5 o 1.5

M2 FIGURE 6.7: The co'amplitude and co-phase lines for the tide according to the analytic model of Chapter 4' 94

5 10

t t7 I I I I I I I 0 I I I 1 / t 0 I / I I / o \ l / \ I \ I \ I I -tt' I /

o I \ _ I \\ _19. I 2 \ \ I \

I \ I \ I I \ t I 40 I , \ I \ \ \ I \ 19 18

FIGURE 6.8: The co-amplitude and co-phase lines for the K1 tide according to the analytic model of Chapter 4. 95

The co-amplitude and co-phase lines for the M2 and K1 tides, for the model of Chapter 4, are shown in Figures 6.7 and 6.8 respectively.

6.4 The Linear Numerical Model

The boundary configuration of the numerical model is a closer approximation to the coastline than that for the analytic model' This can be seen in Figure 6.11. This figure shows the coastal boundary approximaEion used for the numerical models and also the position of the open boundaries at which the tidal inputs are specified. I^lith reference to Table 5"1, the element labels associated with this config- uration are sho\{n in Figure 6.9. The depths, assigned at Ç-points,are shown in Figure 6.10. Ax is taken to be 13 krn and Ay to be 39 km' The boundary approximation shown in Figure 6.11 was found to be the one which gave the closest results to the observed tidal phenomena'

The seemingly poor approximation on the !üestern side of the Gulf is consistent with Teleki et alts (1973) observation that "most of Linnnen Bight, between Groote Eylandt and the Edward Pellew Group, is a shallow area where the bays and river mouths remain choked with sediment most of t.he year. Thís is a low energy coast.rr An idea of the islands, shoals and sand or mud banks in the area may be obtained from Aus ctrarL 410. The area to the south-East, near Karumba, is modelled as being wider and shallower than it is in reality. This is to try to account for the dissipation in the l'/Iz tide. There is a long sand- bank in this area, shornm on Aus Chart 410' The input along the open boundary for Ehe numerical model is obtained from the analytic mode1, there being no data available across the input channel. It could be possible to determine input values from co-tida1 and co-range charts as given by Easton (1970), but such 96

data would be inÈerpolations on diagrams which are themselves obtained by interpolation and extrapolation, and hence the input is not likely to be very accurate. The convergence of the model is tested by modelling the exact system described in Chapter 3 and comparing the outpuÈs for the yI2 tide with that obtained from the analytic model. The appropriate form of the friction parameter, 5.4. 1, uses ,r,, = .35 ms-I. The results for the amplitudes are given in Table 6.11 and for the phases in Table 6.12. The largest discrepancies occur at the corner x = -a, where the analytic model incurred the largest errors in the matching conditions, and in regions affected by Ehe amphidrornic points (compare with Figure 6.5), particularly in the bottom right-hand corner of each tab1e. Away from these regions, the results are in good agreement, the maximum error in the ampliÈudes being about 3% and for the phases about 57" íf. the phase is larger than 2 hours. Sometimes the percentage error is larger than this for phases smaller than 2 hours, but the maximum absolute error is comparable to that for the larger phases, being about 18 minutes. Hence, accepting the fact that amphidromíc points are singular regions in which any linear depth-inEegrated model is likely to be inaccurate (see Nihoul (f977)), the otherwise favourable agreement of the numerical model rnrith Èhe analytic model indicates that the solution provided by the linear numerical model is likely to be convergent to the true solution for the situation of a more complicated boundary and bottom topography. The results, incorporating the input from Torres strait, are shown in Figure 6.11 for the Nlz tide and in Figure 6.12 for the K1 tide. The results for the linear numerical model which uses the iterated form of the friction parameter, as given by 5.4'2, are shown in 8888888888888888888888888 11 9 6666666666666 6 6 6 6 6 6 6 6 6 6 9 6666666666666 6 6 6 6 6 6 6 6 6 612 6 6 3 9 6666666666666 6 6 6 6 6 6 6 6 6 6 3 9 6666666666666 6 6 6 6 6 6 6 6 10 226666666666 6 6 6 6 6 6 6 6 6 6 6 3 444 5666666666 6 6 6 6 6 6 6 6 6 6 6 3 444 166666666666 6 6 6 6 6 6 6 6 6 3 6 3 4488 5 6 6 6 6 66666 6 6 6 6 6 6 6 6 6 44 56666 6 6 66666 6 6 6 6 6 6 6 6 6 6 3 44 r2222 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 3 \o\¡ 44444444 I 2 2 2 2 2 6 6 6 6 6 6 6 6 6 6 3 t+44444444444 4 4 1 2 2 2 2 2 2 2 2 2 3

FIGI]RE 6.9: The element labels for the linear numerical model associated with the boundary configuration in Figure 6'11'

I *******.**Jr*******}L*******

65 65 60 60 50 50 40 40 40 40 40 40 40 40 40 40 40 40 30 20 10 10 9 9 10 65 60 55 55 55 55 55 55 55 55 55 55 50 50 50 50 50 45 t+5 40 30 20 10 10 10 10 & 70 70 65 65 65 60 60 57 57 55 55 55 55 55 55 55 55 50 50 45 40 30 20

50 30 50 50 50 55 55 55 55 55 50 50 55 55 60 60 60 60 60 55 50 40 30 20 30 50 30 30 45 50 50 55 55 55 60 60 60 65 65 65 60 65 70 70 70 60 50 40 ú J ¿ 35 50 50 55 55 55 55 60 60 60 60 65 65 65 65 60 60 55 50 45 30 40 45 50 55 55 55 55 60 60 60 60 60 60 60 60 60 60 55 50 40 30 & & 20 40 50 55 55 58 60 62 65 65 65 66 65 60 54 50 45 40 30 20 & t + 10 30 35 40 50 50 50 55 55 55 55 55 55 55 55 50 45 45 40 35 20 15 ¿ 20 20 25 25 35 40 45 50 50 55 55 50 45 45 40 40 40 35 25 20 15 10 \o J. @ s J ¿ ¿ $ 20 25 30 30 30 30 30 35 35 35 30 30 25 25 15 10

+ -* J ¿ 5 5 5 5 5 5 5 5 5 5

J.

FIGURE 6.10: The depths in m, specified at Ç-pointsrfor the numerical model with configuration shown in Figure 6^11. The *'s shor¡ land, and the depths correspond to the bathymetry shown in Figure 6.1. Ê Þ tË x-Distance from Input Boundary (kn) F t4 I 0 52 104 156 208 260 3L2 374 4l-6 468 520 572 H H .991 .970 .900 .734 .505 275 .256 .486 .737 .948 1.095 t.l-64 39 rd0¡ .97 5 . 910 .756 .537 326 .297 .497 .735 .940 1.083 1. 150 Ëo50P c) .991 OlJEÉFrÞã Fl o< gt .965 943 .870 .703 .467 .zLL L79 - t+37 .692 .903 1.050 Ll22 H.0J rt Ft 117 o o F.H. .965 946 .877 .717 .489 .252 2TL .440 . 685 . 891 r.036 1. 106 Þ f o o HO 3Þ F1 É 940 .915 842 .67 5 "443 .180 .t2L .388 .645 837 .97 8 1. 049 o ^Ox o.o :¿ 195 (,¡ù Ét .9L7 845 .683 .455 .138 .383 .624 822 .962 1.031 É\4 O 940 "204 lJv '- af ,ô É H.:' 886 808 .64r .t7L .087 .339 .567 753 .883 .949 - Ðo il 273 .916 "4L9 c"0J cj0¡ . 916 887 808 .643 .422 .178 .087 .331 .555 739 .868 .933 o:'p5ã É ÞE o€ H à .489 .655 .770 .830 rfH. ¡.. 899 .858 753 .572 .37 4 .L62 .o72 .287 \o *rrOrr qt 351 \o !' n É É 899 . 859 759 .570 .370 .t57 .066 .282 .480 .643 .7 58 . B17 ts.oÈ u)o É o Ê.Þ 0j Êq 4L4 .300 042 .225 .395 .537 . 638 .688 H.0' I 429 "L42 o Ho.H.^ E 376 .27 6 .t28 046 .225 .392 .532 .632 .683 Þ< Þ o rt at cl H P. P.:' ã l+{ Þoov 319 .256 .t47 .014 .140 280 .398 . ¿+83 525 (¡) 0c 507 J FJlJ o 297 .237 .133 .017 .t44 28L .396 "482 525 HO F.Fr Ë Þø50 (ü ÞÉoFt +J P.uÊ¡ (D .323 .278 .L96 .092 .053 t57 .254 .324 .359 .rrl-lû . r'l 585 .363 J â .311 .266 " 185 .083 . 051 158 .255 .326 H.i o I V'ÊãB >r 0qoN .37 6 .336 .267 .L7 7 .081 .052 .r22 . 180 .209 H. H.rÌFI 663 .368 .328 .258 .067 .038 .IzL .184 .2L8 ooP.< "]-67 ÞÞo. HO 0lØ .432 .394 . 330 .248 . 156 .069 .027 . 071 .095 crä 741 J o ooc .427 .388 .324 .2t+O .148 .060 . 031 .083 . 113 . 663 2 2. 88 3.01 0qÉ 9 18 9.17 9 19 9.27 9 58 2.07 2.7 <3P.H.Ê ó ooo. J. .66 2.24 2.58 tFlo 9.10 9 IO 9.11 9.L6 9.28 9 70 H.e 74L 8 64 t+.62 3.73 3.7r Êlo 9.24 9 2L 9.18 9. 13 9.03 crÊr0q O PH. 2 32 2.79 oão 9 10 9.O7 9.05 9 .03 9.02 9 o4 9. 13 o5 819 5 47 4.87 ÊÈ 9 23 9.18 9. 11 9 .00 8.81 I 39 7.23 oH

I 12 2

I I , \ I x x t , \ I I \ o0l I , I I I x I \ I I , I 1s ¡ \ I I x I I I \ I I \ 1 x I \ I \ I I I I x.il \ / \ \ 3t I 2 \ I 8.5r ,r- , \ I \ I \ f \ .10 \ 31 t 40 t / o tl , I I I I I ,r

11 \10

FIGURE 6.11: The co-amplitude and co-phase lines for the lqz tide

according to the linear numerical model which uses the

non-iterated form of the friction parameter. The open

boundaries are indicated, with a X represeriting the position of a C, eríd point. L02

I 1q I I , I o I I I I / t o / I /12 5 I I I / f / I I \ I I o 20

I I I I \ I \ \f8_\_s ! \ * I \ !" \\ 20 2',| - ¿

FIGURE 6,L2: The co-amplitude and co-phase lines for the K1 tide according to the linear numerical model which uses the non-iterated form of Ëhe friction parameter. 103

100 2 8l 't2t I I I I \ I I rl I t, oo I I I 1OO o I I t I I I I I 2-' \ ./ -'i o , 4t I o 8¿/ I o \ I I \ , 3 I \ --"- \ I Lo__ _ I I ì I O¡ I 40 \ 4 \ I 80 \l ta, i I I t 10.5 \ o 10

FrcuRE 6.13: The co-amplitude and co-phase lines for rhe þr2 tide

according to the linear numerical model which uses the iterated form of the friction parameter. 104

10 t7 I I I I o I I I I I 0 I I 2 Jt I I I / o / / f o I I t \l o., /'ì / I \16

I t I I 18 , , a 121 t \ \ 20

1

FIGURE 6.L4: The co-amplitude and co-phase lines for rhe K1 tide

according to the 1ínear numerical model which uses Ëhe iterated form of the friction parameter. 105

Figures 6.13 and 6.14. For the N12 tide, which has the dominant velocity component in the region studied, the friction parameter converged at each velocity grid-point after 11 iterations. For both linear models, the maximum error in the end-condition, after the EVP solution had been deter- mined, \¡Ias 2 x 10 5

6.5 The Non-linear Numerical Model

The labels ín Figure 6.9 and the depth array in Figure 6.10 are also used for the non-linear model. The value of À , in the fríction Parameter form of 5.5'3, is taken to be .00878, corresPonding to a value of .030 for Manning's n. The time increment rrhich satisfies the stability condition 5.6.4 is taken to be 120 secs for the Yt2 tide and 239 secs for the K1 tide, the number of time-steps per tidal cycle being roughly the same in both cases. As for the linear model, the input daEa was obtained from the analytic resrrlts. The model took 13 tidal cycles to iteratively converge' that is, Íf p ts the number of sÈeps per tídal cycle' trfl¡* tt - ,Íll I . .001, .c = 1,...rmi j = 1,.-.rni 6'5'1

on a when v/p = 13. The output during the 14th tidal cycle is stored random-access file, using the Random Mass Storage package on the computer, and later Fourier-analyzed to obtain the fundamental frequency (and harmonics, if desired) using the efficient program detailed in Ralston and Ìlilf (1960). At first íÈ was thought that the long model time required for iteration convergence mey be due to the method of modelling the advection terms, but removal of these terms from the equations had no effect on the time for convergence. This is reassuring from the poinÈ of view thaE 106

the advection terms should not have a very large effect on the results (see Flather and Heaps (1975)). The iteration convergence time seems to be dependent more on the type of area being modelled than on the manner in which the PDE is approximated by the FDA. The model of Morecambe Bay developed by Flather and Heaps (1975) takes 11 tidal cycles to iteratively converge in the manner of 6.5. 1. The long model-time for convergence in this study is probably due to two factors:- (i) the large model region and (ii) the input wave has to svreep around Èhe corner into the resonator region and, because of this, the transient motion associated with the wave and its reflection may take a while to die ar¡ray" The truncation convergence, that is, the property of convergence discussed in Sections 5.3.3 and 5.6, is investigated by comparing the results for the NIz tide with the results obtained from the linear numerical model ¡¿hich used the iterated friction parameter" The agreement between the two, shown by a comparison of Figure 6. 13 with 6.15, is exceller¡s, The only discrepancy is in the South-Eastern corner where depths are only 5 m and the advection terms are likely to be c.rf more importance than elser¿here in the Gu1f. Such a comparison shows not only the convergence of the non-linear mode1, but also the value of the simple linear model, The result for the K1 tide is shoqm in Figure 6.16. This

shows favourable agreement with Figure 6.14, any differences arising from the fact that Ehe linear model accounts for interaction with the 142 component, through the manner in which friction parameter is modelled, while Èhe non-linear model does not. 107

B t I I , t I \ I 12t \ t2 t arf oo I I I I o I I 10 I \ / \ zI- .l I a I I 0 I o B 4t \ I o I , 3 I I t 10 \ \ I 2\\ \ 4 \ I \ I 80 \ \ I \l .t I I \ 10. 40

10

FIGURE 6.15: The co-amplitude and co-phase lines for the l,l2 tide

according to the non-linear numerical model. 108

l7 101 I I o I I ¡ 40 I I I I 5\ \ I / \ I I I If t / /12 t / I t f \l --t'l o., I :.16 I I I t I 18 21 I I \ I \ \ 4 50 \----- 20

FIGURE 6.16: The co-amplitude and co-phase lines for the K1 tide

according Èo the non-linear numerical mode1. 109

MODEL TIME CENTRAL MEMORY ( secs ) (r words)

LINEAR ANALYTIC Torres Straít closed 53 100.2 Torres Strait open 72 140

LINEAR NUMERICAL simple friction 6.4 60 iterated friction 2L.8 60

NON-LINEAR NT]MERICAL basic program - 14 cycles 1024.t 54 Fourier analysis 5.4 60

TABLE 6.1-3: Details of the requirements of each model

on the CDC CYber 173 ComPuter. 110

6.6 The Prosrams

The programs for all the models described were written in Fortran

IV and run on the CDC Cyber 173 computer at the University of Adelaide.

The results for the analytic models hrere obtained using N = 6. Table 6.13 indicates the time required (in secs) Èo run each program and the length of Central Memory needed(in Kilowords).

6.7 The Response of the Gulf to Tidal Forcins

The tidal response predicted by the models is now discussed in more detail.

6.7.L The Semi-diurnal Response The semi-diurnal response of the system is investigated with reference to the l'Íz tide which has a period of. I2.4 hours. The response predicted by the analytic model of Chapter 3 is shown in Figure 6.5. It features three amphidromic points, one in the junction which is clockwise and two in the resonator, Ëhe one near

Karumba in the South-East being clockwise, the other anti-clockwise. This agrees fairly well with the results of Williams (tglZ) wittr the difference that the features that he suggests should appear in his results (namely, that the amphidromic point in the juncËion should be nearer to the resonator than to the boundary y = b, and the existence of Èhe amphi- dromic point near Karumba) in fact do appear in Figure 6"5' Figure 6.7 shows the N2 tidal response when flow through Torres Strait is allowed. This flow forces the three amphidromic points to contract to one, frear Karumba. Apart from this, the response is si¡nilar to that of Figure 6.5. This result is analogous to the effect of allowing flow through the StraiLs of Dover in a model (see Nihoul and 111

Ronday (1976)) where the overall response is similar when the Strait is opened or closed but the position of the amphidromic point is changed when the Strait is opened. The phase distribution varies accordingly. Figures 6.11, 6.13 and 6"15 show the response as predicted by the numerical models which more accurately approximate the boundaries

and the depth contours. The three amphidromic points reaPPear. That the first analytic model agrees so well in this respect with the numerical models is deemed to be completely fortuitous. It may be personal inter- pretat.ion by interpolation since the region inside the .2m contour contains a very narrohr region of amplitudes less than .lm in both analytic models. The three amphidromes which appear in the numerical model (and thus the

features suggesÈed by williams (1972))are likely to be due to the bottom topography which causes this region of small amplitudes to bend away from the deeper water to the North-East of the resonaÈor. The linear model which uses the simple friction parameter agrees well with the other numerical models. It, in fact, gives a more accurate response at Karumba,

predicting an amplitude of .18m, while the othet two models predict an arnplitude of .4m (the measured value is .17m). All rnodels predict the peak amplitude of the Gulf to be at the point (0,0) as r¿ell as high amplitudes in the South-hlest of the Gulf.

The amplitudes and phases for setrected positions,as given in the Australian National Tide Tables for 1978, are shown in Table 6.L4. Keeping in mind that these observations are made at sites which may be subject to local influences not capable of resolution in the model (one grid element represents a surface area of 2028 kmz), the following observaËions may be made:

(1) The movement of the tide around the perimeter of the resonaÈor

agrees with observaÈion in that the tíde at l{eipa lags behind that at

Karumba and the tide in the Northern region around Caledon Bay lags behind Ehat at Port McArthur i.n the South. ,L12

LOCATION 142 Kr

PHASE AMPLITUDE PHASE AMPLITUDE (trrs ) (m)

JENSEN BAY 7"5 .91 5"0 .32

},IELVILLE BAY I 3 .80 5.8 .26

CALEDON BAY 9 0 .50 2.7 ,2

PORT LAI{GDON 9 2 .26 23.2 .15

PORT McARTIIUR 1 6 .4r 23.6 .41 .91 I(ARUMBA 6 2 .t7 22.O .46 T{EIPA 5 1 .36 14.4

WEDNESDAY IS. 1 3 .40 14. 1 "56

ylz TABLE 6.L4: The ampliÈudes and phases for the and K1 tides at selecEed sites, as given in the Australian National Tide Tables, 1978' 113

(2) The amplitude response at Inleipa is too high in all models. Thís site is located near a relatively steep bottom slope and a better representation of the bathymetr:y in this area may improve the results. The amplitude along the perimeter in the Southern half of the Gulf is generally in good agreement with data in the analytic results but too high in Èhe numerical results. This is surprising, as a closer aPProx- imation to the boundaries and bottom topography should give more accurate results. Using the input from an analytic model with a different Gulf width produced no significant change in the response of the numerical models. Increasing the value of the fricEion parameter will decrease the arnplitudes in the South of the Gulf, but Èhis has a detrimental effect on the amplitude of the diurnal tide and is hardly justifiable on the results of the analytic model. It is probable that the input provided by the analytic model is sÈill not accurate enough. This could be improved if the reference point for the scaling of the response could be chosen away from the mainland or islands. Ilowever, no data is available at such sites and so this could not be tested. The reference points were changed to other mainland sites but Jensen Bay and I'lednesday Island gave the best results.

6.7 .2 The Diurnal Resoonse

The response of the system of chapter 3 for the K1 ride is shown in Figure 6.6. There is a single amphidromic poinÈ about which the rotation ís clockwise, in keeping with observations. I^Iith the opening of Torres Strait, the location of the amphidrome moves South from just outside the resonator to just inside. This is shown in Figure 6.8. The bathymetry introduced in the numerical model moves the amphidromic point further South-EasÈ. This is in agreement with lüilliam's (L972) suggestion tL4

that the amphidrome lies 240 km in a direction East-South-East of the position, towards the centre of the channel-junction boundary, predicted by his model, As the amphidrome moves further into the resonator, the phases in the l^lestern and Southern parts of the Gulf change accordingly, providing better agreement l¡ith observed values.

Comparison with Table 6.14 shows Èhat the amplitude at l'leipa,

Karumba and Port McArthur is too small while the agreement in phase is quite good. The phase and amplitudes at Port Langdon and positions north of this agree quite well with observations' The results of the Sz tide were similar to those of the Nl2 ticle, and the 01 tide similar to the K1 tide; hence the results are not presented here. Since no data is yet available away from the rnainland or islands, there is no conclusive evidence as to the quantitative accuracy of the models in the interior of the Gulf. However, there is good agreement

amongst the models, givíng an indication as to the main features of the

response of the Gulf to tídal forcíng. The discrepancies with regard to specific observed tidal phenomena rnay possibly be due to lack of detail in coasEal boundaries and in the bottom toPograPhy near the coast' As mentioned in Chapter 1, the water motion in the Gulf is influenced by a variety of faclors and it may be necessary to incorporaEe some of these, for example, a horizontal density gradient from South Èo North, or the effect of winds, to more accurately predict the Èidal motion in the Gulf. The results of the urodels in this thesis could be used in more (L976), LocaLízed studies with a grid refínement such as used by Ranrning giving a better approximation Èo coastal boundaries and bathymetry' Thus,

if a model of the Gulf included more detail of Lir¡nen Bight ' a more accurate study of this area could be obtained by using a finer grid and inputs from

some outer boundary to the East of GrooÈe Eylandt, Ehe inÈeraction between 115

Èhe coarse and fine grids being account.ed for in the manner described by Rarmning. The fine grid model would, of necessity, be a non-linear model because of the importance of the advection terms in shallow coastal areas

llhereas it is possible, by including features and refinement.s as described above, to improve the models in this thesis, it is considered that one of the factors limiting the accuracy of the numerical models may still be the ínput along the open boundary. If the reference locations of the analytic model could be more ideally chosen, € more accurate input for the numerical models could be obtained. 116

CHAPTER 7

CONCLUSION

Two analytic models to determine the tidal propagation in a resonator-channel system have been developed in this thesis. They are based on the two-dimensional depth-inÈegrated equations of continuity and momentum conservation which govern fluid flow. The rnodels have been applied to the Gulf of Carpentaria, Australia. The second model accounts for flow through Torres Strait and shor¿s the ínfluence of this Strait on the position of amphidromic points and the subsequent effect on the phase distribution in the Gulf. There is little change in the amplitude response of the Gulf with the inclusion of this second channel. As well as giving a good indication of the general features of the tidal response of Ëhe Gulf, these models are useful in providing a comparison for the two numerical models which are developed to approx- imate the boundaries and bottom topography more accurately. The second analyÈic model also provides the input along the open boundaries for the numeríca1 models since there is ínadequate measured data available. The two numerical models use finite-difference approximations to the two-dimensional equaÈions, the first being linear and the second, non-linear. The results of the linear model agree very well with those of the non-linear model, indicating the usefulness of linear schemes r¡hich model Èhe friction parameter judiciously. They also indicate, as would be expected, that the advection lerms are not important in Èhe interior of the Gul-f . LL7

Table 6.13 supports the usefulness of the linear model, which, as well as providing good results, has a much smaller running time on the computer than the non-linear model. It, thus, would be an ideal model Èo provide inputs for more localized studies utilizing a finer grid resolution. These localized studies would use the non-linear numerical- model to give better quantitative agreement with the data avail-able near the mairrland. r18

APPENDIX 1

The esentation of BoEËom Friction

Integration of the general three-dimensional equations over depth introduces the surface and bottom stresses (see, for example, Dronkers (1964),Nihoul (1975)). The generally accepted formula used for the latter is (see Groen and Groves 0962), Nihoul (1977))

Iu = - tI" * YPllqllq

respectively, where Ju and L are the bottom and surface stresses, m and y are empirical constants and g i" the horizontal velocity ilbottom at some reference heíght above the bottom (henceforth termed the veloclÈyt') or the depth-averaged velocity and p is the densfty of Ëhe fluid. This fott"f" includes a stress exerted on the bottom even aÈ times when q = 0. However, Ín tidal models where Èhe ef- fects of wind are neglected, I" t" taken to be zero.

(a) The Non-linear resentation kll Since, in two-dimensional models, the value of the bottom velocity is not kuown, non-linear equations use the form

Fo(= tolott) = kllqllq A1. 1

-1 where H 1s the water depth and k has dimensíons m ' Ín rnks unlts' As a ffrst estimation, k-rnay be given a consÈanÈ value, equi- valent to considering a reglon of constant dePth' Thus k=y/h wh-ere h 1s the depth of undisÈurbed water and y ís dimensionless' Taylorfs (1920b) study of dlssÍpaËion 1n the used y = '002' 119

Giace (1936,1937) attempted to determine appropriate values for Y by using measurements of tidal eleva¡ions along the coasts of the Bristol and Englj-sh Channels' He found values of Y ranging from .0014 to .0041 (average value of

"0026) for various sections of the Bristol Channel, and from.0024 to .OZL (average value of .0093) for various sections of the Engl-ish Channel.

The larger values for the l^tere associated with large apparent phase differences betqreen the current and t.he frictional st.ress and, according to Bowden and Fairbairn (1952), are "probably less significant than the Bristol Channel results." Bowden and Fairbairn give a value of Y = .0018 when using the mean current in a hrater depth of abouÈ 19rn in their invest- igation off Anglesey, whereas, in a later paPer (1956), they find an average value for ] of .0024 when using the current at a specified height above the bottom, Ëhe depths ranging from 12m to 22m' Numerical models ofËen use (see, for example, Flather (1976))

k=y/H v¡ith H = ft * Z , the toËal depth of water. Values for Y which are conrnonly used lie in the range

.0024 ( y ( .0030

(see Dronkers (L964), Nihoul and Ronday (1976)). A perhaps more realistic formula considers the roughness of Ehe bottom material. It is a combination of the de Chèzy and the Manning forrm¡lae (see Dronkers (1964, p.156)) which were originally developed for the study of channel flows: n=õä ^L.2 L20

where rl6 1 .003 R' Yz -1 s c=-m n

R is the hydraulic radius (usually aPProximated by H for a shallow sea)

n is Manningts roughness coefficient which varies with position according to the roughness of the bottom

maEerial. tlang and Connor Q975) give .025 < n ( .040 and their subsequent calculations of the bottom friction parameter for different depEhs (1 < h ( 10Om) and different types of bottom material yield values of k in the range .0013 - .0095. Harleman and Lee (1969) use values of n as lorv as .020. Using R = H, AL.z can be written

u = X/n43 41.3 where À depends on n. In channel or river flow studies where Ehe region of interest may be djvided into a seríes of one-dimensional secÈions, the value of n may be varied in each section unÈi1 the results obtained agree with observations This is the approach of Harleman and Lee (1969). However, such systematic variation of n, in the case of a two-dimensional shallow sea model, is not always feasible and À is usually given a constant value. A1'3 is used by Teubner (1976)rwho considers a value of tr corresponding to n = .030, and Prandle (1978)rwho uses ll = ,O25. Leenderts e (1967 ) says that when the bottom roughness has a considerable influence on water movemenÈ "the parameter C has to be found in an iterative manner by comparing results with actual field measufements. I' He obtains

C = 19.4 9-n[0.9H] t2L

experimentally from computations of his Haringvliet mode1. However, as previously stated, such experimerrtal evaluation of c is not always feasible, especially when Èhere is a paucity of field data available'

some, more sophisticated, models return to the definition which employs the bottom velocity. using vertical velocity profiles adjusted to observations, the reference velocity can be expressed in terms of the depth-averaged velocity. Thus,Nihoul and Ronday (L976) quote Ronday (L976) as using

0¡ Y= ç¡.2r+e-a o':lr' where cis is a constant and z0 is a roughness length. This can be (see obtained from a velocity profile of the type due Eo vori Karman Dronkers (1964, p.156)). Dronkers gives zo = '03d' where d is a scale for the height of the irregularities of the bottom' The non-linearity of the friction term kll qll q provides one and mechanism for the interaction between different tidal constitutents for the generation of harmonics. This effect of the quadratic 1aw has two- been studied by, amongst others, Dronkers (1961) for the case of a (1976) case of a dimensional mono-periodic tide, and by Le Provost for the multi-periodic tide. Le Provostrs investigaÈion of the components of the friction in the English Channel lead him to conclude that "for a first approximation, the M2 component could be studied alone uPon a given atea, but that to study a secondary \¡/ave, 52,N2,K2, it is necessary to consider their propagation together with the Mz comPonent""; a simulation taking together YI2 and sz or ulz'sz and N2 gave a better representation of the componenE l{2 ." His analysis depends on the presence of a dominant tidal component. However, such a dominant componentmaynoËalwaysexístrandrinsuchacase'acompletepictureof 122 the Ëidal motion can probably only be obÈained by considering the whole tide, a Fourier analysis of the results providing the componenÈs if these are required. The main deterrenÈ against such studies is not only the lack of adequate data along open boundaries, but also, if such information did exist, the data over about 15 or 29 days would be needed as input for a model (see Defant (1961, p.304)). This is necessary to account for the effects of such factors as Èhe semi-monthly inequality and the contrast between the spring and the neap tides. Then' not only would the model have to be run long enough to converge numerically, but it would also have to be run for a further period to provide the necessary output. Time and cost obviously preclude such a study. One of the advantages of a linear representation of the frictional force (in linear equations of motion) is that the complete tide may be estimated from the suPerPosition of the solutions for the individual constitutents.

(b) The Linear resentation of kll q

Many models tave linearízed the quadratic bottom friction law for

Èhe sake of simplicitY, taking r F q or =åg A1.4 -b I Io

In MKS units, r has dimensions *"-1 This linear representation is essentíal for analytic methods of solution which do not rely on perturb- ation or iterative techniques. The second exPression of 41"4 is sometimes used in linear numerical models which still retain explicit time dependence, Most studies take r to be a constent, for example, Heaps (1969) uses r = .0024 rns-l while Flather (1972) uses a value of .0014. Real- istically, the value of r will not be constanÈ, but will vary with pos ition. t23

t The linear expression q can be related to the quadratic law h LorenEz approximation for r in the one-dimensional case, ftCffC The , is found by equating Ehe dissipatíon over a tidal cycle given by each of tl¡e expressions (see Proudman (1953)). Thus, it is found I r==- YU JlT

where q = U cos trtt.

Harleman and Lee (1969) use I t=- '3n åt"* where C is the Chèzy coefficient which can vary with position and t*,. is an over-all estimate of the maximum velocity. Dronkers (1964, p.191) gives the two-dimensional version of this, 8s '=ËÉu_ Al.s where V_ is the mean value of the maximum magnitudes of the velocities,

if it may be assumed that V- does not vary greatly" If C is given a constant value, 41.5 may be used as an estimate of r in an analytic analysis of a tidal region. Dronkers (1961), produces a lineatízed form of the quadratic friction term for the tr¡o-dimensional case of a mono-periodic tide and

shows that, not only the magnitude of Èhe velocity, but also the relative phases of the two velocity cornponents should be taken into account.

Us ing

u = U cos(6t+Cr)

v = V cos(ot+ß)

he finds, on neglecting the harmonics which arise from the quadratic law L24

u(u2+v2 )!' = xu. r # v(u2+v2)/"=À.r-r# where À and m are quite complicated functions of U,V,o and $. This form is only useful in idealized studies when (for example, if only Kelvin waves are considered) exact values for À and m may be found. However, use of this linear form is usually precluded by the fact that foreknowledge of UrVrOt and ß are required and these are, in fact, unknowns of the sys tem. prandle (1978) uses a non-linear Èidal model in conjunction \^tith a linear model for secondary effecÈs (.such as those of wind) and so is able to relate, at each grid-point, the linear friction coefficient K(=;) of the dominant constituent (say Mz) to tire non-linear law' He finds K at a u-velocity grid point by rninimizing € with respect Èo K' wheft

2 e2 dr r ) 0 where T is the period of the NI2 tidal constituent, and Ce is a frictional coefficient corresponding to Il = .025. An analogous expression is used at a v-velocity grid-point. However, for obvious reasons, this approach cannot be adopted in linear tidal models and the best approximation to the friction coefficient is probably given bY 41.5. The effecÈ of a dominant tidal constituent on other components is easily accounted for with a linear friction representaEion' Jeffreys

(1976) shows thaÈ, for two tidal velocity consËituenÈs Ulcos t!1t and

u2cos (s2t, with lJz/Üt < \' the frictional comPonent with frequency (¡J1 is uÎ = ut cos 01t, ,, = *.{ "o"r-Dlt T 125

while the component at frequency tr2 is

cos (r)2t cos (t)2t F,=+{u'u, =?u,n

Hence, if r1 is a frictional coefficient for a dominant Eidal constituent' the appropriate linear friction factor for any other constituent is

Tz 1 5 r A1. 6

Garrett (I972) states that this result is readily extended to Èhe two-dimensional case when "tidal ellipses (are) of the same eccentricity for all constituents being considered." This interaction of constituents is not so easily taken into account with a non-linear friction law.

(c) Comparison between the two representations

Although, according to Nihoul and Ronday (L976), "it is now

connnonly admitted that a quadratic law must be used", Durance (1975) justifies his use of the linear law thus: "Although there is evidence to suggest that the boÈtom friction does depend quadratically on the velocity near the bottom, there is no direct relationship betweem the near-bottom velocity and the mass transport, and in some situations they can be in opposite directions. In addition, Èhe bottom friction coefficient is likely t.o depend on position because of both the general bathymetry and the variation in bottom roughness." The investigation of velocity profiles by Johns Qg|6) and NihouI (1_97 7) would seem to substantiate that, about the time of tide reversal, the validity of the quadratic law is questionable; however, Nihoul shows that Ehe discrepancy does not affect the results significanÈ1y. Flather (1972) compares the results of a linear scheme to the results of a non-linear scheme applied to the computation of the Mz tide in a rectangular sea 65m deep. He finds Iaxge differences in the NI2 L26

amplitudes obtained by the two models, but says that this is "probably due largely to the choice of friction parameters" (he uses r = .0014 and y = .0025). Noye and Tronson (1978) show that with a judícious choice (through trial and error) of the value of the linear parameter, good agreement can be obtained between the results produced by the two models. Apart from simplicity and the possibility of superposition of solutions, the linear friction coefficient has the advanËage of being more easily able to include the effect (shown by Jeffreys (1916) and Le provost (1976)) of a dominant tídal constituent on the other constituents.

However, if the non-linear effects in shallow l¡¡ater are of special interest, it seems more important, in some cases, to include a non-linear friction law than to include the non-linear advection terms (see, for example,

Flather and Heaps (1975)).

In some cases, as in Leendertsers (1967) Haringvliet study

(where the maximum depth is 13rn), the bottom roughness influences the v/ater movements to a considerable extent and it would be expected that a quadratic law r¿ould be essential. Even for the non-linear representation, careful estimates of the friction parameter are necessary and usually have to be found in an iterative anner, comparing computed results with actual field measuremenEs.

No matter which form is chosen for the representaEion of the bottom fricËional force, no maÈter how complicated the analysis used to obtain it, there is always some empirical facLor associated with it; and it seems that the justification for any choice of parameterization lies solely in the accuracy of the resulÈs obtained by the model. r27

APPENDIX 2

The Galerkin and Collocation Methods

The exact solutíon to a differential equation and its boundary conditions cannot always be found and an approximate solution must be sought, either by analytical methods or by numerical methods. An analytical approximation may be obtained by the Method of l^leighted Residuals (see Finlayson (1972)). The two techniques discussed here, the Collocation and the Galerkin methods, belong to this class. The classic approach of these two methods ís to find an infinite series of, for example, trigonometric functions which satisfy at least some of the boundary conditions exactly, and to Proceed to solve for a finite number of unknown coefficients in the series by approximately satisfying the differential equation and any remaining boundary conditions. The Galerkin technique used in this manner is described in detail by Fletcher (1978). However, if it is possible to find a solution to the differential equation, Shuleshko (196la, 196Ib) has shown that better results are obtained if the approximation method is applied to the boundary condition rather than to the differential equatíon. This is the technique used here. Consider the Helmholtz equation

(v'+x2)e = o A2.l with its boundary conditions

= 0o (*,v) along s p 1r... rP M e [6(x,y)] p where M_ are linear differential operators and is Ehe pth portion p "o of the boundary. The solution to the differential equation may be written as t28

P æ Ç, (x,Y) 6(x,y) n n ¡ I n=0 where ã, are unknown coefficients and each term, 4, , in the series Jn^ n satisfies 42.1 exactly. It is also requíred that

P æ Q along S = 1r"-rP A2.2 MtI ejn] -0p = P o j="t n=0

For some boundary conditions it may be possible to find a simple relation between the tj' such that A2.2 is satisfied exactly; but, if not, an approximate solution may be found by truncating the infinite series; in which case

M (x,y), along s P 1r...,P p [6(x,y)] - Qo(x,y) =r p p where P N 7=\ Çjn 5L I", n j =t n=O is the residual, or the error in the pth boundary condition' and r p It is expected that the residual be sma1l in some measure and that the effect of obtaining a new solution with N increased should cause a

in some average'---e sense along s . Inlhen t, = 0, f.ot reduct.ion in r p P P all p, the exact solution has been found' The meEhod proceeds Lo solve for the â, - by imposing an ortho- gonality condition on the ro (x,Y),

ro(xry)Ø,ro(xry)ds = O, f, = 0r...,N for P = 1r"''P A2'3 J sp ds is a line increment along and is some chosen weighting nrhere "o 'r,o + r and ¿ function. If , as N -r{rrro} is a complete.set, rhen p =O is the exact soluÈion. If

- ) wnp =6(x-x np ,Y Yrro t29

where ô(x,y) is the Dirac de1!a function and (*no ry,,o ) (n = 0r.. .rN)

S use of 42.3 is called the Collocation Method. If are points along p ,

IÀ) = M j € {1,...,P} for î = 0,. N np p te.Jn l, then use of A2.3 is called the Galerkin technique. Application of 42.3 results in a set of linear simultaneous equations which may be solved for the "j ' The advantage of Collocation is its simplicity; no integration or mathematical manipulation is required to set up the simultaneous equations. However, the accuracy of the solution depends on the position of the Collocation points (see Shuleshko (196la)). Chapter 6 shows thaÈ the overall accuracy and convergence using the Galerkin method is better than that obtained by Collocation. Since the mathematical manípulation for the Galerkin method need to be done only once, even if physical constants are varied, it is the Galerkin method which has been adopted for the analytical approximations in Chapters 3 and 4. 130

APPENDIX 3.

Evaluation of the Intesral Form for (" (x.v)

In Chapter 3, er(x,y) is expressed in integral form by 3.4.13' that is,

-ilx {Àgo +iKrfo] = e 0(À)dÀ Çz(x,Y) * ).2+Kz [- I I + I .-i"(**u) {go[À cosh Kra - iKr sinh Kle] f s[À sinh K1a - iK1 cosh K1a]tSft oi

æ {Às+i4r} -i Àx an e 0( À) dr NT n I x2 ( f I a

æ -t ¡\( x+a) + [ {-r)" e A3. 1 n=1 J- with À0 sinh s( -b * (1+i ) cosh s( -b 0( À) " 0 _S 1+i z) sinh sb -¿(x<0

2 and s =\2 - ur2 2

This may be written as

æ Q{-, = + T+ (-rrn +I L3.2 Çz(x,y) 21T' ^uo -Lo I Lr')]' n= 1 iÀx where I,rrr(n > 0) ís an integral associated with e and is evaluated (n>0) using a contour closed in the uPPer half-plane; and r"r, isan À(x+a) with and is evaluated using a contour integral associated "-i closed in the lornrer half-Plane' 131

For ru r"o' the poles of the integrand are given by o

Yz (s + 2 ) so) 43.3a À I iK1, í(Kî X 2

r/" r¡2 It- Kz) A3.3b À 1kÍro) ,(" 0 = '[a,r*iq,r]/' Lel,',

Lr g>0 43. 3c 1 k(2e) .I (s 1 ) À = 4 -('J l' b branch where the aPProPriate value of s is defined as shown and the ( c) that trn(k > 0, Lr 0 chosen for A3.3b,c is such 2 ) The poles assocíated with l,rr,,I"n (n > 1) are given by

lz nfi À 1 S= x2 d t(+l '.)

o) À + k( 2

0¡ À + k( 1,>0 2

Noting that In(1K < O, 43.2 may be written as a sum of residues I )

I 2trí Res(-iKr) + ne"(t!o) ) + i n""(tta) ) Uo 9. )

( sinh s ( +s ( t+i ) cosh s -b e'-K, x -f -i0Kr 2rí 2 U K z + S ( 1+i0z sinh s¡b { I 0

( o) t rr ( -ik x b -([) trrll. -ik x+ K, v- b) + e cos Ai- g-n k, sln +ô e I ôol b b ]J oo e

. ( [) l. nes ( iKl ) + Res,-n(o) ¡ + Res(- K ) I 2rí 2 i 2 Lo 9 I

( s K x +f i0K sinh s ( )+s t+i cosh -b) 2trí e 2l0zr + S 1+ þz sinh s ob { 0

( 0) i k x-Kr(v-b) ulo"t" +€ e + ."0 .'nirr.["o, oo + .,.iõ,, * +]] 9. Ï, L32

æ I * T + I = zTtí ttes(tlo)) L nes(r.!e)) a*."(T). ,*""( T)) Un I e-

( o) IK x+Kr(V"b) 2ntt ô e no

t Ît -i k x + e 2 OS w . nlo' I ônl b # [- þ .,.qrot "t,,+]

nn0 . n'lTX / lII l_1 sin sl-nh s rY-b) + S (1+i0z)"o" cosh s"(v-b)1 'a an n + o , b - 2 - A/a)z - s¿ ( t+i6r ¡ s b [(nn n lsinh n

.nrt0 nTlX/r\ s (y-D/ 1S (1+i0z)sin 4E cosh s.(y-b)1 t, cos slnh n +íf an t n - s ( 1+i0z sinh s b 2 [(nn 0/a)' )'l n f

( f I i{n""(-táo)) * nes(-r.Ío') * zn."(- ,*"" g)) Ln =-27 [ T). t Q= r

i kÍo) x- K.( v- b) z" i{e e L n.

. . ( Q) l Kz x W.t + e e cos UJ - , 9, . =b u{Q) srn i nI b ( 1+i02 ) r.r 2 b e rm0 ü (y-b (v-b) + (1+i0z cos 5 ) 1 [-r sinh s s ) An "o"¡ d "irU an +çÞ b n - / a)' s' t+iþz )' l sinh s 2l( n n

n1T0 nll x . filTX . ¿ ccs sinh sn (v-b) i s (t+i0z) srn-coshsrY-b)l AJ n n + if - s2 (r+i0z)21 sinh s b n 2 [(nn0/a)2 - n where €nQ,ônl (n > 0, .Q, > 0) are linear combinations of the gn and fn' theit actual form being immaterial'

Thus, using 43.2 , 133

o) I o) -1 *' *, ( v= b) -ik.'x+K.(y"b) (.2(x,y) = nt{(Ï" € . u^, e no )"t (Ï, )

t ll ik x Lry b . t rl . e 2 cos Kz sln W -1, (ì, .l ). b Lr b

nla)'.["'" . -1,(Ï, u"o)" T. t,-Îõt # u!'', "" +]

K s + s (t+ )cosh K x cosh s ¡) +go ieK sinh x sinh -b) 0 K +S 1+ þz) I sinh s¡b 0

ieK cosh K x sinh s _¡) + s (t+i )sinh K x cosh s ( -b + fo +S nh sob to K I 1+i0z ls

nrO ntx * cos S cosh s.(y-b)J ó L-:. ;_ s1n sinh s,r(y-b) ",r(1+i0z) Ie" - [ (nn0/ a)2 snz(1+iQ2)2 s inhsb n= I n

-nn0 nTTx i S cosh sn(v-b)l [; cos sinh s,,(v-b) - "n(l+iÔz)sin I -1 f - 2 i n [ (nrO/a) - s2( t+i4r¡'1 s inhsb f n n n A3 .4 where it has been assumed that the order of summation of the series associated with €rr[ , ôr,I may be interchanged ' This expression may be rewritten as

Eo + Go ejuio)*+K2(v-b) 6r(x,y) = "'*)"'*-K'(v'b) oo (r) r'rr +lE zx cos L9 "ik b #uto)sinry] [= t æ LTII -*(1)*f cos + uf'o' +[% e2L b # "t" T] !=l "tÎõJ *Do Krx cosh so(y-b) . sinh Krx sinh so(y-b) ["o"t, çffi

i0K +Fo sinh Krx cosh s¡(Y-b) + cosh K1x sinh sr{v-t)] S9 1+i0 2

@ sinh sprr-o)l + Dt T eosh so(y-b) ffiJ ,l "'" T 2 I ["'" [rï- . 'tn A3. 5 .i Ft T cosh so(y-b) dt "o" "ir,¡ "e{v-u)] 9.=t' ["r" 134

wirh f-l i so(t+i4r (Do ) (go,fo) ,Fo K +S 1+i02 ) I sinh sob t0 I 0

( CIi so 1+iQ2) + (to,ro) (g[,fp), 9-e z ( l,nO a sf(1+i$r)zl sinh [ "Qb

_ ( 0) K2 ffirr+io,)Ì

( t) k 2 {.; -(ilj",u'=*

% 2 Sg 1 K2 + X 2

+ ^,,\," 9"ez "I ={ (Ti Xrl

(r)2 I l.* K2 ,{ (t+îõz) -sh2 Í 135

APPENDIX 4.

The Classes of Elements for the Non-Linear Plodel and their Associated Finite-oi f ference Equations

n+1) 1 Z, as in equation 5.5.2a rJ n+1) u[ = u[:;" - o ,j

I n+ 1) 2 Zp','¡' ' as in equation 5.5.2a n) Atã n) n) n) = t'[ïì,, -u[ Ì --\/ '[ {u[ -u[ i u[,;" u[,ì #'[,] - 1, j 2LY , j +1

n( ^)ul'l * -r[]i]ì I - at tQ,., *' f q"l s{z["*" ' ^r # n+ I ) v[ 0 ,j

n+ I ) 3 -(n+l) vI not calculated "Q, : ¡l u[];' ' =Q

n+1) n+ 1) zl r[,;" u[ not calculated 4. /s< ,j , ,j A

_(n+l) 5 tQj as in equaÈi ot 5 .5 .2a n+1) u[ =Q tt 7t n) At ,a n+l) v[ {u[:ì,, -u[,1 ] v[ 2Ax 4:;" l ,j ,j Ar n) 1 4, u[, -u[:ì. - Ar R(n)tr, v[ 4Lv ìt ]., ,] , - Arf 4l;" - rl e{z['*"-t[']ll]

n+l) n+ 1) n+1) Z, uI v[ AS in equations 5.5.2 6 ,j ,j ,j

{, n+l) not calculated l ,j n+ I ) u[ = u[:;" = Q ,j 136

n+1) n+ I ) Z; uI not calculated 8 ,J ,j n+1) V; 0 tt

9 (trrlestern open boundary) I I (n+l) zQ, = Re{z e-i.(n+1)At t where Z. gives the I ¡ 1n. 1n. x J amplitude änd phase of the I A elevation at y = jAY along I

I the open boundarY. n+1) uI not calculated rj n+l) vI rulTì,, -u[, i ,j 4:l åi 4:;" ] n) {'[:]*,-u["]., ] - n. R( 4:ì #'[]ì Q, i it - arf ";:,.')- e{z['*"-r["]Jl] n+ 1) = 4 :J à{u["*]l.4ii:Ì",i

10. l (Llestern oPen BoundarY) I t zÍ"]t) = Re{Z. z as f or: e lement 9 "-t-(n+r)at} 1n. rj J ./../>/ t[,;t) t'ot calculated

v!"*t)'t, j = o

I l2 I (Eastern open BoundarY) I x -it"r(n+1)^t e. Ì Z: as for Z. 1n I ,l:;') = ne{2f,,. 1n. ln' t J 9 and 10 /////// ^ elements n+ I uI ) {'[:]-u[]ì,, ] rJ 4:ì *'[:ì ( n) n) t4:Ì.,-u[:] ] - a, nto, uI *q:ì ,

n) Ar o( n+1) n+ 1) +Atf q e { og -2l9- Ì i 2Lx ,j - l, j

vÍ "l') 0 Xt J t37

11. (Eastern open Boundary) I I ,;",;') = ne{21o. Z'. as in element 12 I "-i-(n+r)4t1, l-tl. x J I n) n) n) n+ I ) n) At uI -u[ ] A uI uI 2Ñ. tu[ _ l, j I 'j I n) t4:1.,-u[:1.,] - a, R( ") u[ #q:l tQ, j +Atf q n) # ,{rl"*"-t[]ill]

n+ 1) n) At n+ 1) v[ vI q t4,l-u[]ì,, ] ,J t^" 'j At ö'[]l r'[]Ì*,-u[, ì., I - o. *l;], 4:ì it - At f õolî.r)- c{z['*"-r[,i]ìl 4:;') = à{u[":".u["i]| t

A indicates a V-velocity grid-point

x an elevation grid-Point land

an open boundarY. 138

BIBLIOGRAPHY

the Frictional BOI'IDEN, K.F. and FAIRBAIRN, L.A. l1g52); A Deternination of a Tidal Curtent. Proc'Roy. Soc. Lond' 37L-392 Fo¡ces in ^,2\l+,

( Turbulent BOI,JDEN, K. F. and FAIRBAIRN , L.A. 1956) : Measurefnen¿s of Fluctuations and Regnolds Stresses jn a Tidal cutrent' Proc'

Roy. Soc. Lond. A., 237 , 424-438'

Resonato¡s on BUCHI^IALD, V.T. and I,JILLIAMS, N.V. (1975): Rectangular Infinite and semi-infinite channels. J. Fluid Mech. 67,

497 -5tr.

of Carpentaria' CRESSI^IELL, G.R. (1971): Current Measurenents in the Gulf C.S.I.R.O. Div. Fish' Oceanog' Rept' No'50'

Petgamon Press' DEFANT, A. (1961) z Phgsical Tceanogtaphg, Vol ' 2,

Oxford, 598 PP.

Resjstance fe¡m DRONKERS, J.J. (1961); The Linearization of the &uadtatjc intheEguationsofMotionfo¡aPuteHatnonicTidejnaSea.

NATO Symposium 1961' Inst' für Meeresk' Univ' Hamburg'

and Coastal l4/aters' DRONKERS, J.J. (1964) : Tidal Conputations in Rive¡s North-Holland Publ' Co', Amsterdam' 518 pp'

Residual Citculation DURANCE, J.A. ¡g75): A Mathenatical Model of the of the Southern Notth Sea' M6m' Soc' Roy' Sci' Liàge' 6e série, tome VII, 26L-272' 139

EASToN, A.K. (rgzo): The Tides of the of ,4ustra-lia Horace

Lamb Centre for Oceanog' Res., Res' paper No' 37 '

FINLAYSON, B.A. Q972): The Method of l4leighted Âesjduals and variational Principles. Academic Press, New York, 4'L2 pp'

Theorg of FLATHER, R.A. (1972): Analgtic and Nunetical Studies in the Tides and Storm SurEtes' Ph' D' Thesis, U' of Liverpool.

Eutopean continental FLATHER, R.A. Í976): A Tidal Model of Lhe North-l4test Shelf. Mám. Soc. Roy' Sci' Liège, 6e série' tome X' 14l-164'

for Morecambe FLATHER, R.A. and HEApS, N.S. (1975): Tidal conputations Bag. Geophys. J. Roy. Astr' Soc' 42, 489-517'

in FLETCHER, C.A.J. (1978) z The Galerkin Method: An Introduction Nunerical Sinulation of Fluid Motion (ed. J. Noye), North- Holland Publ. Co', Amsterdam, 580 pp'

Fundg and Gulf of GARRETT, C. 0972): Tidal Resonance in the Bag of Maine. Nature, London 238, 44L-443'

of the Btistol Channel' GRACE, S.F" (1936): Friction in the Tidai Cur¡ents Mon. NoÈ. Roy. Astr' Soc', Geophys' Suppl' 3' 388-395'

of the English Channel' GRACE, S.F. (1937): Friction in the Tidal Cutrents Mon. Not. Roy. Astr' Soc', Geophys' Suppl' 4' L33-L42'

fhe Sea (ed' M'N' Hill)' GROEN, P. and GROVES, G'I'¡' (1962): Surges in New York Vol. 1, 6II-646 , Interscience Pub1.,

,:1976): in a Rotating Basin. HAMBLIN, P.F A Theotg of Short Petiod rjdes Phil. Trans. Roy. Soc. Lond. A, 281, 97-111' 140

HANSEN, hl. (tgOZ): Tides from fhe Sea (ecl. M.N. Ilil1), Vol' 1, 164-80l' Lnterscience Publ', New York'

HARLEMAN, D.R.F. and LEE, C.H. (1969): The Computation of Tides and cutrents in Estuatjes and canals. u.s. Army Corps of Engrs.,

Comm. Tidal Hydraulics, Tech' Bul1' No'16'

HEAPS, N.S. Q969): A Two Dinensjonal Nunerical Sea Model' Phil' Trans' Roy. Soc. Lond. A, 265, 93-137'

HENDERSHOTT, M. and lufUNK, lJ. (1970): fides. Ann. Rev. F1. Mech., 2,

205-224.

JEFFREYS, H. (]-976): The Earth, 6th ed. , cambridge university Press,

574 PP.

,1976): JOHNS, B. A Note on the Boundarg Laqer at the Flaor of a fidal Channel. Dyn. Atmos. Oceans' 1, 91-98'

LEENDERTSE, J.J. (1967): , spects of the Computational Model for Long-Period lllater-wave Ptopagation. Rand Mem' RM5294-PR'

LE PROVOST, C. ¡g7ü: Theotetical Analysis of the Structure of the Tidal lllave,s Spectrun in Shallow lïater Areas. Mém. Soc. Roy. Sci.

Liège, 6e série, Èome X, 97-IL7'

MELVILLE, W.K. and BUCHI4IALD, V.T. (1976): 0scilJatjons in the Gulf of Carpentatia" J. Phys. Oceanog' 6, 394-398'

MILLER, G.R. (1966): The FIux of Tidal Energg Ùut of the Deep Oceans'

J. GeophYs. Res. 71, 2485-2489' L41

C S.I.R,O NEI^IELL, B . S ( 1973) : Hqdrologq of the Gulf of Catpentatia' Div. Fish. Oceanog, Tech'Pap' No' 35'

of Marine Sqstens NTHOUL, J. C. J (1975): Hgdrodqnanic Models in ModeIlinq

( ed. J.C.J. Nihoul), Elsevier, Amsterdam, 292 pp'

Surgtes NIHOUL, J.C.J. (tgll): Three-dimensional Model of Tides and Stotn Oceans, 2, in a Shal low lt/ell-nixed Continental Sea. Dyn. Atmos'

29-47 .

(.:1976): Hqdrodgnamic Models of the North NIITOUL, J "C J. and RoNDAy, F.C . Liège' Sea : A Conpa¡ative Assessnent. Mém' Soc' Roy' Sci'

6e série, tome X, 6l-96.

NOyE, B.J, (1973) : An Introduction to Finite Difference Techniques' in Nunerical sinulation of Fluid Motion (ed. J. noye), North-

tlolland Pub1. Co ' , Amsterdam, 580 pp '

Techniques Applied to NOYE, B.J" and TRONSON, K. (1978): Finite Diffetence theSimu]ationofTidesandCuttentsinGu]fs.ílNunetical Sinutatinn ,tf FIuid MoLton (ed. J. Noye), North-Holland Publ'

Co., Amsterdam, 580 PP'

Surge of 26th June' PLATZMAN, G'W. (1958): A Numerical Conputation of the

1954, on Lake Michigan' Geophysica 6' 407-438'

the southern Notth PRANDLE, D. (1978): Âesjdual Flows and Elevations in Sea. Proc' Roy' Soc' Lond' A, 359' 189-228'

Methuen, London, 409 pp' PROUDMAN, J. (1953) ; Dgnanical }ceanographg.

(1960) Methods for Digital RALSÎON , A. and I'rlILF , H' S - : Mathenatical

ConPuters. Vo1 ' 1, Inliley, New York. r42

RAMI,1ING, H,G, (1916): A ilested Notth Sea Model with Fine Resolution in

Shallow Coastal 4reas. Mém. Soc. Roy. Sci. Liàge, 6e sárie,

tome X , 9-26.

ROACHE, p.J. Og72): Conputational Fluid Dgnanics. Hermosa Publishers,

Alberquerque. 446 PP-

ROCHFORD, D.J. (1966): Some Hgdrological Features of the Eastern Arafuta

sea and the Gulf of catpentaria in August 1964. Aust. J. Mar. Freshw' Res. 17, 31-60.

du RONDAY, F.C. (]1976): Modèles de Circulation Hgdrodgnanique en Mer Nord. Ph.D. Thesis, Liège Univ.

SHULESHKO, P. (196la): Comparative Analysis of Different Collocation

Methods on the Basis of the Solution of a Torsional Problen- Aust. J. ApPl' Sci' 1?, I94-2IO'

5HULESHKO, P. (1961b): A Method of Integration over the Boundarg fot Solving Boundarg Value Problems' Aust' J' Appl' Sci' 12'

393-406.

TAYLOR, G.I. (1920a): Tidal 7scillatjons in Gulfs and Rectangular Basjns' Proc. Lond. Math. Soc. (2),20,148-181'

TAYLOR, c.I. (1920b): Tidal Ftiction in the f¡jsf¡ Sea. Phil' Trans' Roy. Soc. Lond. 1-33' ^,220,

TELEKI, P.G., RABCHEVSKY , G.A. and lrlHITE, J.W. (1973): 0n the /Vea¡sho¡e circulation of the Gulf of carpentaria, AusLralia - a studg in uses of satellite Inagelg (ERTS) in RemoteJg ,4ccessibJe A¡eas. Proc. A.S.P. Symposium on Remote sensing in Oceanog"

lg7 3 , Lake Bue'na Vis ta , Florida ' L43

in the Pott Rivet 'IEUBNER, M.D ' ftglü: Tidal and Thermal Propagation Estuarg- Ph' D' Thesis' U" of Adelaide'

( Modellinq of Near I^]ANG, J.D. and CONNOR, J.J. ]rg75): Mathematjcal Coasta]Citcu]ation.MITRepE.No.MITSGT5-13.

and 0ther Methods I^IILLIAMS, N.V ' |.]jlÐ z The Application of Âesonato¡s to Problems in }ceanogtaphg' Ph' D' Thesis' U' of N'S'I^l'

published The Admiralty Charts and Èhe Australian National Tide Tables, by the llydrographer, R'A'N' were also used'