FUZZY LOGIC CONTROL APPLICATION ON ON-LINE RESERVOIRS UNDER NON-STATIONARY IDF CONDITIONS

Código

XXVI-SBRH0616

Autores

Mateo Hernández Sánchez, Veronica Nazaré Ramos Viana, Eduardo Mário Mendiondo

Tema

C - Águas Urbanas e Cidades Sustentáveis

Resumo

Increasing climate change impacts, along with the densification and vertical expansion of flood-prone urban areas, heighten flood vulnerability by amplifying rainfall frequency and expanding impervious surfaces. This intensifies peak runoff and places greater pressure on urban drainage systems. To address these challenges, real-time control of stormwater infrastructure, equipping systems with sensors and controllable gates, can dynamically manage watersheds during rainfall events, reducing downstream flooding. In this study, we implement independent real-time controls for stormwater detention reservoirs using Fuzzy Logic Control (FLC) within a 100 km² poorly gauged urban catchment, aiming to decrease flood vulnerability. A calibrated and validated coupled hydrological-hydraulic model was employed to apply FLC in upstream reservoirs and evaluate its effectiveness in mitigating flood impacts. Results show that the total affected population (TAP) in the Aricanduva basin decreased by 3.86%, 2.56%, 3.14%, 3.20%, 2.76%, and 1.91% under non-stationary intensity-duration-frequency (IDF) curves with return periods of 2-, 5-, 10-, 25-, 50-, and 100-years, respectively. Additional flood impact indicator further confirms the efficacy of the FLC-based approach as a flood mitigation strategy. These findings demonstrate the potential of this methodology as a practical framework for flood risk management, especially in poorly gauged urban areas. The study supports the Sustainable Development Goals (SDGs) 6, 9, 11, and 13 related to water resilience, smart infrastructure, climate adaptation, and urban sustainability.