"Hydrodynamic modelling is the base on which advection-diffusion, sediment transport, particle tracking and morphological bed updating modelling is undertaken. Outputs of hydrodynamic modelling are predictions in water levels, tidal currents and waves that result from tidal, meteorological and density forcing". (Environment Agecny UK, 2008).
"Hydrodynamic modelling is a powerful tool to gain understanding of river conditions. In order to minimize the losses of flooding events and to plan flood control operations, river hydrodynamic modelling is essential". (Jahandideh-Tehrani et al., 2020)
Environment Agency UK. "Hydrodynamic Modelling." Analysis and Modelling Guide. (2008). Link: http://www.estuary-guide.net/guide/analysis_and_modelling/hydrodynamic_…
Jahandideh-Tehrani, M., Helfer, F., Zhang, H. et al. "Hydrodynamic modelling of a flood-prone tidal river using the 1D model MIKE HYDRO River: calibration and sensitivity analysis". Environmental Monitoring and Assessments, 192, 97 (2020). https://doi.org/10.1007/s10661-019-8049-0
Associate Professor of Hydroinformatics IHE Delft Institute for Water Education
Ioana Popescu is currently Associate Professor of Hydroinformatics at IHE Delft Institute for Water Education in Delft, The Netherlands. Her research focuses on computational methods, aspects of flood modeling and vulnerability related to floods, lake and reservoir modeling and water supply systems modeling and optimisation. She is particularly interested in integrating mathematical models into decision support systems. Data is key in model development, hence she explores all sources of data, from EO to in situ data and is for the FAIR data sharing.
Associate Professor of Hydroinformatics IHE Delft Institute for Water Education
Ioana Popescu is currently Associate Professor of Hydroinformatics at IHE Delft Institute for Water Education in Delft, The Netherlands. Her research focuses on computational methods, aspects of flood modeling and vulnerability related to floods, lake and reservoir modeling and water supply systems modeling and optimisation. She is particularly interested in integrating mathematical models into decision support systems. Data is key in model development, hence she explores all sources of data, from EO to in situ data and is for the FAIR data sharing.
