Improving Simulation and Prediction of Flash Flood to Develop a Decision-making Model for Flood Protection in Luxemburg (SIPFLU)


Flooding is the top-ranking natural disaster in terms of insured/uninsured losses. The development of reliable methods for flood simulation has greatly improved our ability to predict these events thereby reducing damages and life losses in flood-prone regions. However, there is still much room for improvement. This is addressed in the project, the goal of which is to improve simulation/prediction of flash floods and to develop a spatial decision-making model (SDMM) for implementing flood protection measures in Luxembourg.

The most important outcome of the project will be the creation of valuable flood maps in areas where it matters – while accounting for effects of land use and climate change

Moh Zare

In SIPFLU, different approaches for flood simulation and protection are applied. The project links flood hazard modeling, remote sensing and machine learning. Combining these physical models and data driven methods will result in more reliable hybrid models that can be employed for flood prediction.

Five work packages are defined to achieve the research goal:

  • Add more functionality to a hydrodynamic model code
  • Complement the model with data driven methods
  • Develop a SDMM model for defining flood protection measures
  • Validate process-based and data-driven methods
  • Cross evaluate LIDAR topography with available local super-resolution drone data to assess the ability to incorporate local flood defences into the models.


This interdisciplinary project is carried out in Luxembourg, at RSS-Hydro’s Research and Education Department (RED), in collaboration with the University of Luxembourg, Research Unit in Engineering Sciences. To promote the scientific aspects of the SIPFLU, there is continuous collaborations between the research team and (inter)national collaborating institutions such as the Luxembourg Institute of Science and Technology (LIST) and the University of Bristol. There are continuous interactions between the SIPFLU team and Luxembourg’s Water Management Administration (AGE).

📍 Luxembourg
📍 Luxembourg
📍 Luxembourg
📍 United Kingdom



Innovative Postdoc work (Industrial Fellowship) supported by the Luxembourg National Research Fund (FNR).


Person of contact

Moh Zare | Senior Scientist