Applied PhD 2024: City-scale combined sewer overflow prediction model for real-time forecasts and climate change impact analysis

The objective of this applied PhD is to develop an operational city-scale combined sewer overflow prediction model by using a state-of-the-art machine learning approach. The model outputs will enable Hydria to implement real-time control measures for reducing CSO based on overflow risk nowcasting, and to align their development strategies based on estimations of the climate change impact on CSO risk.