Computational models of flow, flooding and pollution dispersion in rivers and coastal waters (KLIMOD)

KLIMOD is an active running environmental engineering project that implements applied scientific research and develops computer models for efficient modeling of fluid flow and pollution dispersion in rivers, lakes, coastal waters, and atmospheric models in the HPC environment. The project aims to synthesize various HPC Algorithms and Machine learning techniques creating 3D numerical models, machine learning predictive models, and metamodels in various CFD applications: river inflows, industrial outlets, sewage discharges into the coastal area, predictive model of microbiological water quality in recreational areas based on artificial intelligence models and the integration of the microplastic pollution dispersion model into the overall model. Numerical models are adapted to the supercomputer environment, tested, and performed on the supercomputer facilities BURA (University of Rijeka) which allow the use of high resolution numerical simulations for different environmental projects to mitigate the effects of human impact on environmental and climate change related problems.

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Contributors:

• Lado Kranjcevic (Center for Advanced Computing and Modelling, University of Rijeka)
• Marta Alvir (Faculty of Engineering, University of Rijeka)
• Sinisa Druzeta (Faculty of Engineering, University of Rijeka)
• Luka Grbčić (Faculty of Engineering, University of Rijeka)
• Ivana Lucin (Faculty of Engineering, University of Rijeka)
• Andro Rak (Faculty of Engineering, University of Rijeka)
• Ante Sikirica (Center for Advanced Computing and Modelling, University of Rijeka)