Linking Urban Floods to Citizen Science and Low Impact Development in Poorly Gauged Basins under Climate Changes for Dynamic Resilience Evaluation

Cities must develop actions that reduce flood risk in the face of extreme rainfall events. In this study, dynamic resilience Gregorio catchment (São Carlos, Brazil) was assessed. The lacks environmental monitoring and suffers from recurrent floods. curves were made considering water depth drainage system as performance index, obtained by simulations with SWMM HEC-RAS. calibration extension performed using citizen science data. contribution to increasing implementing decentralized low impact development (LID) practices also evaluated. For purpose, bioretention cells added simulations. then calculated for current future climate scenario, without LID, return periods 5, 10, 50, 100 years duration 30, 60, 120 min. Intensity–duration–frequency (IDFs) updated regional model MIROC5 2050 2100 used. results showed a significant improvement system’s light storms period due LID practice interventions. Efficiencies reduced moderate heavy no drops floodwater regardless scenario.