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 the amount of water and
pollutants we will see in the near future.
Simulations of water and pollutant fluxes through urban
drainage systems are often made with detailed physical models such as Mike
Urban and SWMM. However, these detailed models are too slow for forecasting flows
in real time – we cannot really use a forecast of the next two hours if it
takes three hours to run the simulation. We need fast models. To do this we set
up simpler descriptions of the drainage system that can provide simulations almost
instantly. The key problem is how we can describe the most important processes
in the drainage system in an efficient manner.
The project will investigate the use of simple,
fast model structures to simulate flows and pollutants in an online context. The
scope of the project can be tailored to the student’s own interests. We can
choose to focus more on the dynamics of the system, on processes related to
water quality issues, on the interplay between rain forecasts and hydrological
model structure, etc. 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 (email@example.com) or Luca (firstname.lastname@example.org).
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.