River Kabini is a vital source of water for domestic, agricultural and industrial purposes for the local population. It is being polluted by various point and non-point source of pollution, which has resulted in decrease in its dissolved oxygen concentration. In this paper, a river water quality assessment model Qual2Kw was applied to predict the effects of these sources on the water quality of River Kabini. The model accurately simulated the field data. Analyzing the sensitivity of the model, we found that its performance was highly sensitive to reaeration rate, point source flow, total nitrogen and headwater flow and moderate to channel slope, bottom width and point source total phosphorus. The QUAL2Kw was also applied to determine water quality control strategies to meet the minimum water quality criteria. The simulations were made to investigate how changes in point loads, shade and temperature would affect water quality. The minimum dissolved oxygen concentration of 4 mg/L was achieved with 30 and 20 mg/L ultimate biological oxygen demand and 17 mg/L total nitrogen limits at point sources. The results of the model run showed that the minimum water quality criteria can be achieved by pollution load modification, increased shade and reduction in temperature.