Based on climate change A2 and B2 scenarios,the statistical downscaling model (SDSM) was adopted to predict the future air temperature and precipitation with the simulation data from three global circulation modes (HadCM3,CSIRO-Mk2 and CGCM2) in Changle River Watershed,Eastern China,and then these downscaled data were coupled with SWAT (Soil and Water Assessment Tool) model to analyze the impacts of climate change on river hydrology and water quality under different climate scenarios. Results showed that there was a significantly increasing trend for TN concentrations in the rivers,but no obvious increasing or decreasing trend for TP concentrations compared with the baseline. The phenomena of a weak reducing trend for runoff and a increasing trend for nutrient loads in the rivers demonstrated that the impacts of the climate warming on water environment was greater than that of the precipitation weak increasing. Under different climate change scenarios,there was a big difference in annual runoff and nutrient loading distribution. These results can provide some theoretical basis for the response of river water environment to the impacts of climate change in the future.