Project title
Integrated Assessment of Sustainable Drainage System (SuDS) Pond Performance and Maintenance
Project abstract
Sustainable Systems (SuDS) using green infrastructures like retention/detention ponds that serve multiple functions, despite their benefits, we don't know much about how their performance declines over time, and maintenance schedules are inadequate. This study aims to systematically analyze SuDS' key performance indicators (e.g., soil & water quality) degradation levels, through field tests and advanced hydro-dynamic modelling. The performance-controlling parameters will be physically tested across various aged ponds at specific sites. The collected data will be input into the model to upscale within a network of SuDS, considering variations in land use and site conditions. Moreover, novel 'Worst-case' and 'Best-case' performance scenarios will be used to simulate performance under synthetic rainfall events with different return years. Multi-objective optimization techniques (e.g., genetic algorithms) will be applied to determine optimal maintenance timing. This research seeks to optimize maintenance timing, ensure long-term performance, enhance SuDS management coordination, and significantly contribute to urban environmental resilience.