Many of the largest cities in Denmark have been affected by
heavy rainfall in the last couple of years. When that happens large amounts of
water runs off paved surfaces and enters the sewer system. In extreme cases,
this can lead to urban flooding, overflow from the sewers to the natural
environment, and cause problems at the downstream wastewater treatment plants.
Modern drainage systems are equipped with storage tanks,
pumps and valves that can be used to control where we want the water to flow in
the system. It often takes time to implement a specific control strategy and we
are therefore interested in being able to forecast where, when and how much
rainfall we will see in the near future.
The Danish Meteorological Institute provides several
different types of weather forecasts to DTU Environment, which are based on
either weather radar information, large-scale computer simulations, or both.
However, the weather forecasts come with biases and limited uncertainty
descriptions that need to be accounted for.
The project aims at investigating how these forecasts can
actively be used to optimize the operation of integrated urban water systems
during medium to large rainfall events. The project will involve case studies
in Copenhagen and/or Aarhus and can be tailored to the student’s specific interests.
We can for instance choose to focus more on rainfall analysis or on various
modeling aspects. The project is linked to the Water Smart Cities research
and might involve a collaboration with Krüger A/S.
Feel free to reach out to either Jonas (firstname.lastname@example.org) or Luca (email@example.com) to learn more about the project.
In collaboration withKrüger - Veolia
This project requires good modelling skills and some basic statistics (e.g. as taught in 12104). Basic knowledge of either R, Python or Matlab would be great.