Land use land cover change (LULC) is a very significant issue in terms of global dynamics and their responses to hydrological features and the soil and water management of a watershed because it has a great effect on stream flow. This study aims to evaluate and predict the land use and land cover change effect on Suha stream flow using the QSWAT model. The land use land cover data were downloaded from USGS Earth Explorer and were used to develop land use land cover maps for 1992, 2007, and 2022 by using semi-automatic supervised classification plugin techniques. A prediction of future land use land cover maps for 2037 and 2052 was prepared using Cellular-Markov model. The physical-based, semidistributed QSWAT model was used to simulate LULC effects on the hydrological response of Suha watershed. The performance of this model was evaluated through sensitivity analysis, calibration, and validation using SWAT-CUP. The coefficient of determination (0.87-0.90) and Nash-Sutcliff efficiency (0.79-0.86) values were acceptable and showed good agreement between monthly observed and monthly simulated stream flow for calibration and validation for the study periods. The results of study indicate that mean seasonal stream flow increased from 58.8 to 68.9m 3 /s and 56.6 to 64.6m 3 /s for wet season and decreased from 5.4 to 1.98m 3 /s and 5.2 to 3.93m 3 /s in dry season for both calibration and validation period, respectively. The mean annual surface runoff increased from 108.62 to 139.8mm, while the mean annual groundwater flow decreased from 84.2 to 62.23mm throughout the whole period. Due to the expansion of agriculture, built areas, and bare lands and reduction of forests, shrubs, and grass lands, increasing surface runoff and stream flow in the wet season and decreasing stream flow and ground water flow in the dry season within Suha watershed was occurred. Hence, controlled measures of soil and water conservation practices with biological measures should be taken to minimize land use land cover change, stream flow, and groundwater flow change by natural resource managers, planners, policy makers and concerned stakeholders. Key Words: QSWAT, Cellular-Markov, Suha stream flow, land use land cover change