The study aimed to improve the accuracy of predicting runoff in urban areas using the Stormwater Management Model (SWMM). By analyzing rainfall and runoff data from a specific watershed in Daejeon, South Korea, the researchers adjusted the model parameters to better reflect real-world conditions. They found that by using different methods to estimate soil infiltration rates and optimizing certain coefficients, the SWMM could more accurately predict runoff volumes. This research is significant for enhancing the reliability of runoff models in urban areas and could help in better predicting future changes in water flow and quality due to urban development.