Hydrological modeling academic studies have focused on the response to human-caused land use changes. The efects of land use change on food degree in the catchment basin of Ekbatan Dam were investigated in this study, which looked at changes that occurred in 1985, 2000, and 2015. A combination of remote sensing and the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) was used to achieve this goal. First, Landsat satellite images and sensors from Thematic Mapper, Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager were used to create land use maps for the target years. The weighted curve numbers (CN), a parameter related to infltration, were then calculated for land uses. The extracted CN value, along with physiographic parameters and rainfall-runof data, was then imported into the HEC-HMS model to simulate the efect of land use changes on runof volume. After calibration and validation of the model using fve (5) food events, the simulation results showed an increase in the discharge peak volume of 64.3, 67.3, and 70.5 (m3 /s) during the years 1985, 2000, and 2015, respectively, which resulted in an increase in the runof height in these years as well.