It is a common view that climate change has influenced hydrological elements such as precipitation

temperature and river flow. Zhejiang Province has witnessed the climate extremes with high frequency in recent years and it has drawn a lot attention of hydrologists. Low flow hydrology is a very important part of hydrology. It is quite meaningful to analyze the low flow. The historical daily precipitation

temperature and flow in 1975-2004 in the Jinhua River Basin are used as baseline data in this study. Climate projections from Hadgem2_ES of CMIP5 for 2070-2100 are downscaled to stationscale projections based on a multisite statistical downscaling model GIST. The flows in future period are generated by a lumped hydrological model GR4J. Two typical low flow indices 7Q10 and 30Q10 are calculated and compared. The results show that the two indices have obvious rising trends

implying a better situation in low flow periods under climate change.