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Estimate and quantify the subjectivity in hydrologic modeling
Both consciously and unconsciously, hydrologic modelers make many decisions before a model is run, e.g. on which data is used, the calibration period, the calibration procedure, or which model is used at all. In this project, the ...
Supervisor: Lieke Melsen
Department: Hydrology and Quantitative Water Management Group |
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Robustness in climate change impact projections across the US
A data-set containing hydrologic projections for 605 basins throughout the US is available, based upon 5 climate models, 3 hydrological models, and at least 1500 parameter sets per hydrologic model. It turned out that different ca ...
Supervisor: Lieke Melsen
Department: Hydrology and Quantitative Water Management Group |
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Sensitivity analysis of drought descriptors for 605 basins in the US (2x)
Many drought studies rely on model output, where the model has been calibrated and a single parameter set was used to run the model. With an available data-set for 605 basins in the US, we can conduct a comprehensive sensitivity a ...
Supervisor: Lieke Melsen (can be in collaboration with other colleagues working on drought)
Department: Hydrology and Quantitative Water Management Group |
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River dunes and their contribution to flow resistance
Dunes are wavy sediment features at the river bed that significantly increase water levels and the associated flood risk. Knowledge of dune morphodynamics and their contribution to flow resistance are crucial in managing flow and ...
Supervisor: Suleyman Naqshband
Judith Poelman
Department: Hydrology and Quantitative Water Management Group |
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Quantifying turbulent flow over migrating river dunes
Flow resistance and flow depths over dune fields are mainly controlled by dune geometry where the dune leeside angle plays a crucial role in generating turbulence in the flow separation zone. The onset angle for flow separation be ...
Supervisor: Suleyman Naqshband
Department: Hydrology and Quantitative Water Management Group |
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Quantifying riverine plastic emission into the ocean using citizen science
Plastic pollution in aquatic environments is one of today’s most urgent environmental challenges. Rivers are a main source of marine plastic pollution, but unfortunately accurate data on riverine plastic transport is scarce. Obser ...
Supervisor: Tim van Emmerik
Department: Hydrology and Quantitative Water Management Group |
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Quantifying bedform three-dimensionality using geostatistics
Bedforms, wavy features on the river bed, are ubiquitous features in rivers and estuaries. They influence the sediment transport, and by inducing hydraulic roughness they play an important role in determining the water level. It i ...
Supervisor: Sjoukje de Lange, Suleyman Naqshband
Department: Hydrology and Quantitative Water Management Group |
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Distributed hydrological modelling of tributaries of the (Dutch) Meuse
After entering the Netherlands of the Meuse river, several tributaries (Rur, Niers, Swalm, etc) contribute to the flow and water level of the Meuse. Currently, these rivers are modelled using a statistical relationship. In collabo ...
Supervisor: Albrecht Weerts
Remko Uijlenhoet
Department: Hydrology and Quantitative Water Management Group |
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Using big data and crowdsourced data to forecast discharge
To forecast river discharge, conventional rainfall sources (gauges and radar) are usually used as input. However, these data are not always available. In this project, you will investigate the possibility of using opportunistic da ...
Supervisor: Claudia Brauer
(in collaboration with Lotte de Vos or Remko Uijlenhoet)
Department: Hydrology and Quantitative Water Management Group |
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