Numerical modeling of Ria Formosa tidal dynamics

Similar documents
Applications of ELCIRC at LNEC

Modeling changes to the historic Lower Columbia River Estuary using Delft3D. Drew Mahedy Lumas Helaire Stefan Talke David Jay May 30, 2014

LONG WAVES OVER THE GREAT BARRIER REEF. Eric Wolanski ABSTRACT

ISOLATION OF NON-HYDROSTATIC REGIONS WITHIN A BASIN

Tidal analysis and prediction of the flow characteristics around Abu Dhabi Island

Training program on Modelling: A Case study Hydro-dynamic Model of Zanzibar channel

Assessing the Influence of the River Discharge on the Minho Estuary Tidal Regime

TWO-DIMENSIONAL HYDRODYNAMIC MODELING OF BARNSTABLE HARBOR AND GREAT MARSH, BARNSTABLE, MA

An Investigation of the Influence of Waves on Sediment Processes in Skagit Bay

Observation and Analysis of Hydrodynamic Parameters in Tidal Inlets in a Predominantly Semidiurnal Regime

EFFECTS OF WAVE, TIDAL CURRENT AND OCEAN CURRENT COEXISTENCE ON THE WAVE AND CURRENT PREDICTIONS IN THE TSUGARU STRAIT

Tidally influenced environments. By Alex Tkaczyk, Henrique Menezes, and Isaac Foli

Appendix 5: Currents in Minas Basin. (Oceans Ltd. 2009)

Modelling study of the dispersal of pollutants at SHo Jacinto submarine outfall (Aveiro, Portugal)

ABSTRACT. KEY WORDS: Navigation safety; numerical modeling; waves; current; sediment transport; channel infilling; morphology change.

The impact of ocean bottom morphology on the modelling of long gravity waves from tides and tsunami to climate

STUDY ON TSUNAMI PROPAGATION INTO RIVERS

Study of Passing Ship Effects along a Bank by Delft3D-FLOW and XBeach1

Impact of the tides, wind and shelf circulation on the Gironde river plume dynamics

Tidal regime along Vietnam coast under impacts of sea level rise

OCN 201 Tides. Tsunamis, Tides and other long waves

Circulation Patterns at Tidal Inlets with Jetties

Three-dimensional High-resolution Numerical Study of the Tide and Tidal Current in the Jiaozhou Bay and Olympic Sailing Site

Structure and discharge test cases

Currents measurements in the coast of Montevideo, Uruguay

Clockwise Phase Propagation of Semi-Diurnal Tides in the Gulf of Thailand

Announcements. Project 2 due Nov 7 th Topics for today: Big waves. Tsunamis, seiches and tidal waves. Tsunamis and seiches

PROPAGATION OF LONG-PERIOD WAVES INTO AN ESTUARY THROUGH A NARROW INLET

SURFACE CURRENTS AND TIDES

SEASONDE DETECTION OF TSUNAMI WAVES

Modeling Results for Glacier Bay

page - Laboratory Exercise #5 Shoreline Processes

Effect of Hydrodynamics on Sediment Transport near a Coastal Inlet

Impact of Dredging the Lower Narrow River on Circulation and Flushing

Determination Of Nearshore Wave Conditions And Bathymetry From X-Band Radar Systems

MIKE 21 Toolbox. Global Tide Model Tidal prediction

Modeling Historic Columbia River Flood Impacts

An experimental study of internal wave generation through evanescent regions

Geostrophic and Tidal Currents in the South China Sea, Area III: West Philippines

Chapter 11 Tides. A tidal bore is formed when a tide arrives to an enclosed river mouth. This is a forced wave that breaks.

PhD student, January 2010-December 2013

Equilibrium Model of Tides

Implementation of Structures in the CMS: Part IV, Tide Gate

Monitoring tidal movements in Cook Inlet, Alaska, using the integration of remote sensing data, GIS, and inundation models

Chapter 22, Section 1 - Ocean Currents. Section Objectives

Determination of Nearshore Wave Conditions and Bathymetry from X-Band Radar Systems

Tides. Tides: longest waves. or seas. or ripples

Interactions of Waves and River Plume and their Effects on Sediment Transport at River Mouth

PHYSICAL AND NUMERICAL MODELLING OF WAVE FIELD IN FRONT OF THE CONTAINER TERMINAL PEAR - PORT OF RIJEKA (ADRIATIC SEA)

2. Water levels and wave conditions. 2.1 Introduction

TIDAL ANALYSIS AT KUALA LANGSA AND PUSONG ISLAND USING ADMIRALTY METHOD

Testing TELEMAC-2D suitability for tsunami propagation from source to near shore

Atmospheric Rossby Waves in Fall 2011: Analysis of Zonal Wind Speed and 500hPa Heights in the Northern and Southern Hemispheres

Tides. 1. The dynamic theory of tides. The equilibrium theory is of limited practical value, even though certain of its predictions are correct:

An Investigation of the Influence of Waves on Sediment Processes in Skagit Bay

Hydrodynamic Modeling of Tides and Hurricane Storm Surge for Pre- and Post-Dredging Conditions in the Lower St. Johns River, Florida

Chapter 10 Lecture Outline. The Restless Oceans

Investigation of Suction Process of Scroll Compressors

Passage Key Inlet, Florida; CMS Modeling and Borrow Site Impact Analysis

Tide and Tidal Current in the Mahakam Estuary, East Kalimantan, Indonesia

NUMERICAL INVESTIGATION ON WATER DISCHARGE CAPABILITY OF SLUICE CAISSON OF TIDAL POWER PLANT

Super-parameterization of boundary layer roll vortices in tropical cyclone models

Waves. G. Cowles. General Physical Oceanography MAR 555. School for Marine Sciences and Technology Umass-Dartmouth

CIRCULATION IN THE BLACKWOOD RIVER ESTUARY

SURF ZONE HYDRODYNAMICS COMPARISON OF MODELLING AND FIELD DATA

Numerical modeling of refraction and diffraction

Theory and Application Introductory Oceanography Ray Rector: Instructor

Simulation of hydraulic regime and sediment transport in the Mekong delta coast

TIDES. Theory and Application

TIDE-TSUNAMI INTERACTIONS

Alongshore wind stress (out of the page) Kawase/Ocean 420/Winter 2006 Upwelling 1. Coastal upwelling circulation

Fortnightly tidal asymmetry inversions and perspectives on sediment dynamics in a macrotidal estuary (Charente, France)

Tidal flushing and eddy shedding in Mount Hope Bay and Narragansett Bay: An application of FVCOM

WOODFIBRE LNG VESSEL WAKE ASSESSMENT

Reading Material. Inshore oceanography, Anikouchine and Sternberg The World Ocean, Prentice-Hall

The events associated with the Great Tsunami of 26 December 2004 Sea Level Variation and Impact on Coastal Region of India

Influence of rounding corners on unsteady flow and heat transfer around a square cylinder

Forest Winds in Complex Terrain

DUXBURY WAVE MODELING STUDY

MAR 555 Lecture 20: Coastal Tides

Wave-Current Interaction in Coastal Inlets and River Mouths

Study of the hydrodynamics and morphodynamics of the Óbidos lagoon, Portugal Diogo Silva Mendes

Inlet Management Study for Pass-A-Grille and Bunces Pass, Pinellas County, Florida

SCIENCE OF TSUNAMI HAZARDS

Unsteady Wave-Driven Circulation Cells Relevant to Rip Currents and Coastal Engineering

A Review of the Bed Roughness Variable in MIKE 21 FLOW MODEL FM, Hydrodynamic (HD) and Sediment Transport (ST) modules

CHAPTER 6 DISCUSSION ON WAVE PREDICTION METHODS

SOME WATER CHARACTERISTICS OF ESTUARIES IN INDONESIA

Computational Analysis of Oil Spill in Shallow Water due to Wave and Tidal Motion Madhu Agrawal Durai Dakshinamoorthy

Effect of Diameter on the Aerodynamics of Sepaktakraw Balls, A Computational Study

SAND BOTTOM EROSION AND CHANGES OF AN ACTIVE LAYER THICKNESS IN THE SURF ZONE OF THE NORDERNEY ISLAND

Extracting sea level residual in tidally dominated estuarine environments.

Sea State Analysis. Topics. Module 7 Sea State Analysis 2/22/2016. CE A676 Coastal Engineering Orson P. Smith, PE, Ph.D.

The ocean water is dynamic. Its physical

Tide transformation in the Guadalquivir estuary (SW Spain) and process-based zonation

Internal Tides and Solitary Waves in the Northern South China Sea: A Nonhydrostatic Numerical Investigation

Wave energy converter effects on wave and sediment circulation

PRINCIPLES OF FLUID FLOW AND SURFACE WAVES RIVERS, ESTUARIES, SEAS AND OCEANS. Leo C. van Rijn

Refined Source Terms in WAVEWATCH III with Wave Breaking and Sea Spray Forecasts

BEACH PROCESSES AND COASTAL ENVIRONMENTS

Transcription:

Journal of Coastal Research SI 56 1345-1349 ICS2009 (Proceedings) Portugal ISSN 0749-0258 Numerical modeling of Ria Formosa tidal dynamics J. M. Dias and M. C. Sousa CESAM Departamento de Física Universidade de Aveiro 3810-193 Aveiro, Portugal joao.dias@ua.pt mcsousa@ua.pt ABSTRACT DIAS, J. M. and SOUSA, M. C., 2009. Numerical modeling of Ria Formosa tidal Dynamics. Journal of Coastal Research, SI 56 (Proceedings of the 10th International Coastal Symposium), 1345 1349. Lisbon, Portugal, ISSN 0749-0258. The tidal dynamics of shallow estuaries and lagoons is a complex matter, which has attracted the attention of a large number of researchers over the last few decades. The main purpose of the present research is to study the tidal dynamics of the Ria Formosa lagoon, which is located in Algarve, south of Portugal. This lagoon exhibits an extremely complex geometry and is characterized by large areas of salt marshes and sand flats. The methodology followed in this study comprises the application of a two-dimensional depth-integrated mathematical model (ELCIRC), in order to determine the spatial distributions of amplitude and phase of the main harmonic constituents. The tidal asymmetry and the tidal dissipation were also studied for this environment. The analysis of the model results show that the tidal amplitude decreases with the distance from the lagoon inlets, while the phase lag increases, revealing a strong deformation of the tidal wave inland. The tidal asymmetry results also revealed a considerable tidal distortion along the Ria Formosa, and were found both flood and ebb dominance areas in the lagoon. The tidal dissipation results showed higher values in areas where the tidal currents are stronger, as well as in the areas of transition from the sea to the lagoon. According to the results, most of the characteristics of the tidal propagation in Ria Formosa can be related to changes in the lagoon geometry and depth. In shallow areas there is a strong attenuation of M2 tidal constituent and the opposite occurs for the M4, which undergoes strong amplification, thus inducing tidal asymmetry in these areas. There is also a significant phase delay as the tide propagates into these shallow areas. ADITIONAL INDEX WORDS: ELCIRC, harmonic analysis, tidal dissipation, tidal asymmetry INTRODUCTION Investigating tidal dynamics has been the focus of a large number of recent numerical modeling studies. This has lead to significant advances in the field of mathematical modeling of physical processes in shallow estuarine waters over the last few decades. The models produced can be used as reliable and useful tools to study tidal dynamics in shallow estuaries. There are several recent studies devoted to investigating the tidal dynamics of shallow estuaries motivated by the use of hydrodynamic models, such as: DIAS et al. (2000) in Ria de Aveiro (Portugal), BURLING et al. (2003) in Shark Bay (Australia), CANHANGA and DIAS (2005) in Maputo Bay (Mozambique) or MIRFENDERESK and TOMLINSON (2007) in Gold Coast Broadwater (Australia). The Ria Formosa is a large mesotidal, coastal lagoon extending along the eastern part of the south coast of the Algarve, Portugal (36º56 N, 8º02 W to 37º03 N, 7º32 W, see Figure 1). It is a large multi-inlet barrier island system (50 km long; 110 km 2 of surface area), presently with six tidal inlets. The embayment is characterized by a large area of salt marshes and sand flats and by a complex net of natural and partially dredged channels. The average depth of the navigable channels is 6 m, although most areas are less than 2 m deep (SALLES et al., 2005). NEVES (1988) has modeled the submergence and emergence period for the western part of the lagoon as a function of the tides, showing that large areas of mudflats are exposed at low water and submerged at high water. The major transport mechanisms within the Ria Formosa are tidally driven (SALLES et al., 2005) and therefore the tidal regime will be an important component in a hydrodynamic study of this lagoon. In this work, is studied the tidal dynamics of Ria Formosa, through the application of the hydrodynamic model ELCIRC and consequent exploitation of results. The present paper follows a previous study, where the ELCIRC model was calibrated and validated in order to study the relocation of one of the inlets of Ria Formosa (DIAS et al., in press). HYDRODYNAMIC MODEL The hydrodynamic model used in this study is the ELCIRC (ZHANG et al, 2004). This model uses a finite-volume/finite difference Eulerian-Lagrangian algorithm to solve the shallow water equations. Because the equations are solved using an unstructured grid in the horizontal, ELCIRC is particularly adequate for cases involving complex bathymetries and geometries. This model solves the free surface elevation and the 3D water velocity, using a set of four hydrodynamics equations based on the Boussinesq and hydrostatic approximations. Because the study area is shallow and well mixed (SALLES, 2001), a single 1345

Numerical modeling of Ria Formosa tidal dynamics Figure 1. Location of the Ria Formosa lagoon, with the representation (circles) of the stations used to calibrate and validate the numerical model. vertical layer is used, so ELCIRC reverts two dimensions (equations 1-3). The equations solved in this model express the conservation of mass and momentum, and are written in the following form: HU HV 0 (1) t x y U U U C D t x y x H 2 2 U V fv g U V U V V V C D t x y y H 2 2 U V fu g U V V where h(x,y) is the water depth; ζ is the surface water elevation; H is the total water depth (H(x,y,t)=h(x,y)+ζ(x,y,t)); g is the acceleration of gravity; t is the time; U and V are the depthaveraged velocity components in the x (eastward) and y (northward) direction; and C D is the bottom drag coefficient. Due to the relatively reduced dimension of the domain in the N-S direction, a constant Coriolis factor was used (f=9.310-5 rad/s). The bottom drag coefficient is computed through the following equation: 2 gn C D (4) 3 H where n is the space-dependent Manning coefficient. The temporal discretization of the equations is done with a semi-implicit scheme: the barotropic pressure gradient in the momentum equation and the flux term in the continuity equation are treated semi-implicitly; the bottom boundary condition for the momentum equations is treated fully implicitly; and all other terms are treated explicitly. The ELCIRC model was previously implemented and calibrated Figure 2. Distributions of tidal amplitude and phase for M 2 harmonic constituent for each measurement site ( data; model). (2) (3) for the entire Ria Formosa. The calibration was performed comparing the measured and predicted time series of sea surface elevation (SSE) for 11 stations distributed throughout the lagoon (Figure 1), and comparing the harmonic constants of the tides generated by the model to the respective values of the field data (DIAS et al., in press). As an example of the model calibration results, the amplitude and phase of the M 2 constituent determined by harmonic analysis are shown in Figure 2. The comparison between predicted and observed values shows that the amplitude of the M 2 constituent may be considered well represented by the numerical model for the entire lagoon, with average differences lower than 2 cm and an average delay of about 4 minutes. The model validation consisted in comparing the modeled and measured velocity values and tidal discharges. The validation results show that the model adequately reproduces the hydrodynamic behavior of the Ria Formosa. METHODOLOGY Once the numerical model is considered calibrated and validated, much useful information can be derived from its application. In this study the model was used keeping the parameters defined during the calibration and validation (DIAS et al., in press). It was only forced by the tides at the ocean boundary, with 12 tidal constituents (Z 0, M sf, O 1, K 1, N 2, M 2, S 2, MN 4, M 4, MS 4, M 6, 2MS 6 ), and were performed 30 days of simulation. The spatial distribution of the harmonic constants of the major tidal constituents was determined from harmonic analysis applied to SSE time series numerically computed for each grid element. In order to evaluate the flow pattern and characterize its flood or ebb dominance, the tidal asymmetry was also studied. Different definitions were found for tidal asymmetry in the literature, relating flood and ebb amplitudes. For the purposes of this study, the conventions using the M 2 harmonic constituent and its overtide M 4 are used (FRIEDRICHS and AUBREY, 1988). Consequently, the ratio of M 4 to M 2 amplitude in SSE (asymmetrical coefficients) is used to indicate the magnitude of the tidal asymmetry generated within the lagoon. Similarity, the relative phase of M 2 and M 4 determines the type of asymmetry. The asymmetrical coefficients (amplitude ratio A r and relative phase ) are defined as follows: A 4 A M r (5) A M 2 (6) 2 M 2 M 4 where A is the amplitude, is the phase, and subscripts M 2 and M 4 indicate the tidal constituents. The flow is flood dominant if 0º<<180º and ebb dominant if 180º<<360º. 1346

Dias and Sousa Flood dominance indicates that the duration of falling tides exceeds that of rising tides, producing longer lags at low water than at high water, and leading to a tendency for stronger flood than ebb tidal currents. Ebb dominance refers to the opposite situation. The mean rate of dissipation of energy per unit area, due to bottom friction is also estimated for Ria Formosa in this study, from the application of the following equation BURLING et al. (2003): T 1 2 2 3/2 CD( U V ) dt (7) T 0 where C D is the bottom friction used in the calibration of the model (DIAS et al., in press) and U and V are the x and y components of the current, respectively. The fortnightly modulation of tidal forcing changes the amount of energy dissipated inside the lagoon, contributing to the tidal mixing of the water column. In this study, the integration presented in equation (7) was taken over 1 tidal cycle, for neap and spring tide cases, respectively. Calculations were performed on the half-hourly depth-averaged currents. RESULTS AND DISCUSSION Tidal propagation was analyzed along Ria Formosa. The semidiurnal constituents have the highest amplitudes, followed by the diurnal. The results for M 2 can be considered representative of the tide in Ria Formosa lagoon, since it has most of the tidal energy. The following analysis is based on the amplitudes and phases of the M 2 and M 4 tidal constituents (Figure 3), although the main patterns are common to the majority of the constituents. The tides propagate into the lagoon and are altered by its geometry and bathymetry. The tide propagates faster at the beginning of the inlets, especially in the Faro, Armona and Tavira Inlets. There are rapid phase changes as the tide propagates along the lagoon channels, especially in shallow areas, where there is a Figure 3. Amplitude and phase distributions for the M 2 and M 4 constituents. 1347

Numerical modeling of Ria Formosa tidal dynamics Figure 4. Amplitude ratio (A r ) (upper) and relative phase () (lower). rapid phase change due to an increase in the friction. For instance, for the M 2 constituent the phase lag from the Faro Inlet to Faro city is of the order of 35º, which corresponds to 1.2 hours of delay. Figure 3 shows a similar phase pattern between the M 2 and M 4 constituent. In general, the time of propagation of M 4 from the inlets into the far end of the channels is about 1 hour, which corresponds to longer time delays of propagation than those of the principal tides. The relationship between the M 2 and M 4 patterns suggests an ebb and flow dominated asymmetry in the tidal flow at the region close to the inlets. BURLING et al. (2003) found similar results for Shark Bay (Australia). There is strong attenuation of the M 2 constituent along the shallow regions and the opposite occurs for the M 4 tidal constituent, which undergoes strong amplification. The amplitudes of these shallow water tides are very small and show little spatial variation, except for a perceptible decrease away from the channels head, indicative of generation within the lagoon. This constituent is essentially locally generated, in shallow regions where non-linear interactions are important. Its major generating mechanisms are due to bottom friction effects, flow curvature and to the reduced tidal amplitude comparing to the water depth (PUGH, 1987). As tidal waves propagate into a shallow region, shallow water tides usually increase, thus inducing tidal asymmetry (Figure 4). The tidal asymmetry is also measured by the water-surface relative phase, which is an indicator of the type of flow dominance and plays an important role in the dynamics of non-cohesive sediments (FRIEDRICHS and AUBREY, 1988). The analysis of the amplitude ratio (A r ) and relative phase () in Figure (4) shows that neither parameter exhibits a clear trend in Ria Formosa. In other words, the results reveal an interesting feature, showing that there are both ebb and flood dominated areas, as well as areas where asymmetry does not exist. In general, the A r growth is not significant (from 0 to 0.1 for all inlets), revealing that in theses areas there is no tidal asymmetry. The amplitude ratio increases inside the lagoon (shallow regions), revealing that tidal asymmetry is maximum at these areas. The relative phase decreases inside the lagoon, suggesting clear flood dominance in Ancão, Armona, Fuzeta and Cacela inlets and ebb dominance in the other inlets. These results are in disagreement with the findings of SALLES et al. (2005) for the Ancão and Armona inlets. This can be due to the fact that the duration of flood or ebb is not a determinant factor for flow dominance. Longer flood (ebb) may be associated with flood (ebb) dominance, due to the existence of strong residual circulation between inlets. In fact, larger flood (ebb) discharge in a shorter period does not necessarily lead to stronger flood (ebb) currents. But, the flood (ebb) dominance has an important impact on the sediment dynamics, promoting the inflow of the sediments into (out of) the lagoon. Figure 4 also shows a strong distortion of the tide within the lagoon, which is the result of dissipation due to friction and nonlinear spectral energy transfer. Dissipation is responsible for the weakening of the mean velocity field, for third-diurnal, fourthdiurnal and for fortnightly components (DWORAK and GÓMEZ- VALDÉS, 2003). With this purpose Figure 5 shows the spatial tidal distribution of average dissipation in neap and spring tides, respectively. The results show one order of magnitude difference between spring and neap tides in the effective tidal mixing energy input, which is consistent with the observed change in current amplitudes (DIAS et al., in press), implying a considerable fortnightly change in the balance between stratifying and mixed terms. This pattern is in accordance with the results obtained for the Shark Bay (BURLING et al., 2003) and for the Maputo Bay (LENCART E SILVA, 2007), where the tidal dissipation calculated for neap tides is considerable lower than for spring tides. In Ria Formosa, during neap tides the channels of the lagoon become very shallow, that is, the water column height is low during the majority of the tidal cycle and tidal currents are weak, contributing to a low dissipation of energy from the principal harmonic constituents to their sub-harmonics, as normally occurs with M 2 (AUBREY and SPEER, 1985). During spring tides, the tidal dissipation is about 0.2-0.4 W.m -2 over a large proportion of the Ria Formosa and the maximum tidal dissipation (1 W.m -2 ) is found through the Faro channel. Dissipation is also high in Armona inlet, where the tidal currents 1348

Dias and Sousa Figure 5. Spatial-logarithmic distribution of the average dissipation in neap (upper) and spring tides (lower). are strong, as well as in the zones of transition from the sea to the lagoon. CONCLUSIONS The tidal dynamics of Ria Formosa has been successfully resolved through the application of the ELCIRC model. The model results showed that the tidal amplitude decreases with the distance from the inlets while the phase lag increases, and that the shallow depths distort the tidal wave along its propagation through the lagoon channels. Tidal asymmetry parameters indicate flood dominance in Ancão, Armona, Fuzeta and Cacela inlets and ebb dominance in the other inlets. The results for the tidal dissipation showed that the dissipation is higher in areas where the tidal currents are stronger and in transition zones from the sea to the lagoon. The tidal dissipation is considerably higher during spring versus neap tides. In conclusion, most of the characteristics of the propagation in Ria Formosa can be related to the variations in the lagoon geometry and bathymetry. In the shallow areas the M 2 tidal constituent is strongly attenuated, while the opposite occurs for the M 4, which is strongly amplified, thus inducing tidal asymmetry. The phase delay is also significant as the tide propagates into these shallow areas. LITERATURE CITED AUBREY, D.G. and SPEER, P.E., 1985. A Study of Non-Linear Tidal Propagation in Shallow Inlet/Estuarine Systems. Part I: Observations. Estuarine, Coastal and Shelf Science 21, 185-205. BURLING, M.C.; PATTIARATCHI, C.B. and IVEY, G.N., 2003. The tidal regime of Shark Bay, Western Australia. Estuarine, Coastal and Shelf Science 57, 725-735. CANHANGA, S. and DIAS, J.M., 2005. Tidal characteristics of Maputo Bay, Mozambique. Journal of Marine Systems 58, 83-97. DIAS, J.M.; LOPES, J.F. and DEKEYSER, I., 2000. Tidal Propagation in Ria de Aveiro Lagoon, Portugal. Phys Chem Earth (B) 25: 369 374. DIAS, J.M.; SOUSA, M.C.; BERTIN, X.; FORTUNATO, A.B. and OLIVEIRA, A., in press. Numerical modeling of the impact of the Ancão Inlet relocation (Ria Formosa, Portugal). Environmental Modeling & Software. DWORAK, J.A. and GÓMES-VALDÉS, J., 2003. Tide-induced residual current in a coastal lagoon of the Gulf of California. Estuarine, Coastal and Shelf Science 57, 99-109. FRIEDRICHS, C.T. and AUBREY, D.G., 1988. Nonlinear Tidal Distortion in Shallow Well-Mixed Estuaries: A Synthesis. Estuarine, Coastal and Shelf Science 11, 521-545. LENCART E SILVA, J.D., 2007. Controls on exchange in a subtropical tidal embayment, Maput Bay. University of Wales, Bangor, UK, Ph. D. thesis, 133p. MIRFENDERESK, H. and TOMLINSON, R., 2007. Numerical Modelling of Tidal Dynamic and Water Circulation at the Gold Coast Broadwater, Australia. Journal of Coastal Research, SI 50, 277 281. NEVES, R.J., 1988. Flow process in a salt marsh. In A. Scherefler, & A. Zienkiewicz (Eds). Rotterdan:Balkema. Computer Modeling in Ocean Engineering, 303-310. PUGH, D.T., 1987. Tides, Surges and Mean Sea Level: A Handbook for Engineers and Scientists, John Willey & Sons, Chichester, 472p. SALLES, P., 2001. Hydrodynamic controls on multiple tidal inlet persistence. University of Mexico, Ph. D. thesis, 272p. SALLES, P.; VOULGARIS G. and AUBREY, D.G., 2005. Contribution of nonlinear mechanisms in the persistence of multiple tidal inlet systems. Estuarine, Coastal and Shelf Science 65, 475-491. ZHANG, Y.; BAPTISTA, A. and MEYERS, E., 2004. A cross-scale for 3D baroclinic circulation in estuary-plume shelf systems: I. Formulation and skill assessment. Continental Shelf Research 24, 2187-2214. ACKNOWLEDGEMENTS The authors would like to thank Doutores Xavier Bertin, André Fortunato and Anabela Oliveira for their contributions to the model. Professors A.M. Baptista and Joseph Zhang (Center for Coastal Margin Observation and Prediction, U.S.A.) are also greatly thanked for making available the model ELCIRC. 1349