The research group "Intelligent Network Operation" develops new methods and tools to decrease pollution from sewer systems. Through a combination of experimentation and modeling, we enhance our understanding of important processes such as urban rainfall, pollutant flows, and unwanted infiltration of clean water. Our aim is to improve the accuracy of our models in predicting water and pollutant fluxes in urban drainage systems. Achieving this requires the reliable quantification of prediction uncertainty, which we achieve by using advanced Bayesian data analysis.
We support the digital transformation of urban drainage with methods to improve the quality of monitoring data and make them available to all users. In addition to technical solutions, we also investigate policy instruments to overcome institutional and organizational barriers to water protection and support the evidence-based management of integrated wastewater systems. We lead and contribute to innovation projects that use cutting-edge technology to protect receiving waters by operating sewer networks intelligently.
