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Hydraulics Laboratory - Research

Urban and River Hydrology and Hydraulics (prof. Patrick Willems)  

The research on Urban and River Hydrology and Hydraulics covers all aspects of the water cycle in the urban environment as well as in river systems.

The main water domains covered are Rainfall, Urban hydrology and hydraulics (including design and modelling of urban drainage and sewer systems, source control measures, combined sewer overflow emissions, overflow structures, sediment and pollutant transport modelling), River hydrology and hydraulics (including rainfall runoff modelling at river catchment scale, hydrodynamic river and floodplain modelling, flood and low flow risk assessment and physico-chemical water quality modelling, integrated modelling of urban drainage systems with receiving rivers) and Hydrometry.

Hydrodynamics, Sediment Mechanics and Remote Sensing of the Coastal and Estuarine Zone (prof. Jaak Monbaliu, prof. Erik Toorman)  

In the research on Coastal and Estuarine Hydrodynamics, emphasis is on numerical modelling of currents in shelf seas and estuaries, on numerical modelling of wave generation and propagation in the coastal zone (spectral approach), on the interaction of waves and currents, and on statistical properties of waves, such as wave climate and extreme waves in shallow water using time series analysis of individual wave records and numerical simulation of non-linear waves.

The Sediment Mechanics Research is focused on the behaviour and fate of non-cohesive sediments (sand) and cohesive sediments (mud) in coastal areas, estuaries, rivers, reservoirs and sewer systems. The major research activities are related to a better theoretical understanding of the processes and to the numerical modelling of sediment-laden turbulent flow under currents and wave action. Also experimental laboratory studies and field measurements are carried out.

Remote sensing offers the opportunity to gather data simultaneously over large, sometimes inaccessible areas, such as tidal flats. Processing techniques for hyperspectral images of tidal flats are studied in order to be able to obtain maps of soil classification with discrimination of major grain classes and biota. The link between erodibility of the surface and its spectral signature as a function of geophysical and biotic soil characteristics, is studied both in the laboratory and in the field.

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