BLUEmodelling

Aquatic systems modelling is an essential tool for understanding, predicting and optimising the hydrodynamic, sedimentary and environmental behaviour of rivers, estuaries, coastal and oceanic areas. It allows complex scenarios to be simulated, supports technical and political decisions, and reduces uncertainties associated with interventions in the aquatic environment. By combining physics, mathematics, data and technology, this area acts as a link between environmental observation and solution design, and is crucial for coastal and river planning, infrastructure design and environmental impact assessment.

01
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Physical & Numerical Modeling

Hydrodynamics, sediments and quality

2D/3D models and simulations to understand the dynamics of rivers, estuaries, and coastal areas.

  • 2D/3D hydrodynamic modelling for rivers, estuaries, coastal areas and oceans;
  • Sediment transport modelling and morphodynamics;
  • Modelling of plume dispersion (dredging, effluents, salinity, temperature);
  • Simulations of water quality and environmental parameters.
02
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Marine & Coastal Infrastructure

Feasibility, sizing and analyses

Technical studies for coastal and marine works, from outlets to ports and discharges.

  • Technical, environmental and economic feasibility studies;
  • Sizing of intakes and outfalls;
  • Analysis of workability and downtime in coastal/offshore construction projects;
  • Definition of hydrodynamic actions and analysis of agitation in ports and marinas;
  • Simulation of long waves and infragravity.
03
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Computational Fluid Dynamics (CFD)

Detailed analysis of runoff

Advanced analyses to understand complex flows and evaluate stresses in structures.

  • Detailed analysis of complex and turbulent flows;
  • Assessment of hydrodynamic forces on coastal, port and offshore structures;
  • Wave/current-structure interaction studies;
04
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Innovation & Digitization

Digital Twins, AI, and real-time integration

Digital solutions for real-time data integration, forecasting, and operational support.

  • Integration with real-time data (Digital Twins);
  • Predictive modelling with AI/ML;
  • Development of simulation-based decision support systems;

Turn challenges into solutions