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Towards an Operational Towards an Operational Model for the Tagus EstuaryModel for the Tagus Estuary
Rodrigo Fernandes, Ramiro Neves, Frank Rodrigo Fernandes, Ramiro Neves, Frank Braunschweig, João Silva, Susana Nunes, Madalena Braunschweig, João Silva, Susana Nunes, Madalena
Santos, Ângela Canas e João NogueiraSantos, Ângela Canas e João NogueiraPaulo Leitão, Paulo Leitão, Henrique CoelhoHenrique Coelho
OverviewOverview
Tagus estuaryTagus estuary MotivationMotivation System DesignSystem Design End user resultsEnd user results Present situationPresent situation Conclusions/Future WorkConclusions/Future Work
Tagus estuaryTagus estuary2 million people
M2 - 1 m
Area = 320 km2
Average river flow = 300 m3/s
Catchment area = 80.500 km2
MotivationMotivation
Monitoring programs (supported by Monitoring programs (supported by SANEST, SIMTEJO – 2 private SANEST, SIMTEJO – 2 private companies responsible for companies responsible for management of waste water from management of waste water from 1.5 million people);1.5 million people);
The Water Framework Directive;The Water Framework Directive; Validation in continuum of our Validation in continuum of our
numerical modeling system numerical modeling system (http://www.mohid.com)(http://www.mohid.com)
System DesignSystem Design
Real-time modelling
Atmospheric + Hydrodynamics
Real-time field dataValidation
Databases
Field Campaigns
Results Publication
(depending on target public)
MOHID System StructureMOHID System Structure
Mohid Base 1Process, IO and Function modules
Executable
Library
Interprocess Communication
TriangulatorRiver
Network
Mohid Base 2Grid and Atmosphere modules 0D
Main
BasinDelineator
DigitalTerrainCreator
MOHIDWater
Mohid Base 3Soil modules
MOHIDSoil
MOHIDLand
Global Data, Water Quality, Sediment Quality, EnterData, HDF, Functions, Time, LUD, Triangulation, Time Series, ...
Horizontal Grid,Vertical Grid, Atmosphere, Advection Diffusion, ...
Soil, Soil Properties,...
Portuguese Coast (dx = 2 km)
Discharges from rivers / WWTP’s
Tagus estuary (dx = 300 m)
Modelling Methodology Modelling Methodology (Nested Models)(Nested Models)
Atmospheric model –> http://meteo.ist.utl.pt
Global tide solutionFES95.2
Atmosphericforcing (MM5)
Cascais (dx = 50 m)
WWTP Discharge
Nazaré – Setúbal (2D)-Hydrodynamics
Tagus (2D)-Hydrodynamic-Water quality
Tagus (3D-10 layers)-Hydrodynamics
Guia (3D-10 layers)-Hydrodynamic
-Initial Dilution (Mohid Jet)+- Dispersion (Lagrangian)
Carc. - P. Arcos (2D)-Hidrodynamics(grid 301 x 105)
Carc. - P. Arcos (3D-layers))-Hydrodynamics(grid 301 x 105)
Some resultsSome results
Perfil de Salinidade - 38º25.4'N 9º15' W
0
5
10
15
20
25
30
35
40
45
33 34 35 36 37
Salinidade [psu]
Pro
fun
did
ad
e [m
]
CTD - Ipimar
Modelo - 14 dias
Perfil de Temperatura - 38º25.4'N 9º15' W
0
5
10
15
20
25
30
35
40
45
13.5 14.5 15.5 16.5
Temperatura [ºC]
Pro
fun
did
ad
e [m
]
CTD - Ipimar
Modelo - 14 dias
Automatic stations networkAutomatic stations network
Cascais
Carcavelos
Acoustic Doppler Current Meter ProfilerAutomatic atmospheric station
Buoys – automatic acquisition stations:-Velocities and pressure
- Temperature, salinity
-Clorofile, turbidity, oxygen, pH
http://www.mohid.com/tejo-ophttp://www.mohid.com/tejo-op
Conclusions/Future WorkConclusions/Future Work
The system started producing The system started producing modeling results on a daily basis in modeling results on a daily basis in March of 2003;March of 2003;
The links between models, data The links between models, data acquisition systems, data bases and acquisition systems, data bases and web applications are implemented;web applications are implemented;
Conclusions/Future WorkConclusions/Future Work
The system is workingThe system is working In the future it needs:In the future it needs:
• Implementation of data assimilation Implementation of data assimilation modulesmodules
• Daily statistical analysis of the model Daily statistical analysis of the model accuracyaccuracy
• To find other end users (ex: harbor)To find other end users (ex: harbor)