Experimental Research and Modeling of Rain Floods in Urbanized Territories of the Moscow Region (on the Example of the Setun River)

The Moscow agglomeration has a high proportion of impermeable surfaces, which leads to a specific water regime characterized by frequent short-term floods due to the rapid response of the catchment area to precipitation. For one of the largest tributaries of the Moskva River in the capital, the Setun River, the SWMM model was able to reproduce the passage of extreme flood events in 2020–2023. The model was calibrated using 30-minute monitoring data on water discharge and 10-minute precipitation rates obtained by interpolating to the center of the catchment. The performance of the model was assessed using relative error (RE) and coefficient of determination (R²). The calibration and verification results showed a good correlation between the modeled and measured maximum water discharges (R² = 0.77) with relative errors ranging from 2 to 56%. The most accurate results were obtained for flood events with peak flow rates exceeding 15 m³/s.