Author(s): Ognjen Govedarica; Milos Milasinovic; Anja Randelovic; Veljko Prodanovic
Linked Author(s): Anja Randelovic
Keywords: No Keywords
Abstract: Urban Drainage Systems (UDSs) are increasingly challenged by ageing infrastructure, rapid urbanization, and the impacts of climate change. Nature-Based Solutions (NBSs), such as green roofs and swales, can enhance UDS performance and resilience, yet traditional Asset Management (AM) approaches primarily focus on grey infrastructure. To ensure optimal functionality, both grey and blue–green components must be systematically monitored and maintained. This study presents a Digital Twin (DT)-based framework for the rapid assessment of NBS conditions through continuous model updating. The proposed method employs a Proportional–Integral–Derivative (PID) controller to dynamically adjust simulation model parameters (e.g., surface roughness, hydraulic conductivity) based on real-time sensor observations. Parameter changes are interpreted as indicators of NBS condition, serving as early warnings for maintenance or intervention. The methodology will be tested on a section of the Belgrade UDS, focusing on a hypothetical green roof scenario. Water level data collected from the nearby sewer network will be assimilated into the model to update NBS parameters. The results aim to demonstrate the potential of DTs as effective asset management tools for monitoring and maintaining hybrid urban drainage systems.
Year: 2026