Based on the daily precipitation of 24 global climate models from the sixth phase of the Coupled Model Intercomparison Project 6 (CMIP6) multimodel simulations, the generalized extreme value distribution (GEV) is introduced to study the risks of extreme precipitation that expected to occur every 20, 50, and 100 years over China under 1.5 and 2℃ global warming levels.In comparison to the historical period (1995-2014), the changes in the probability of the risk of extreme precipitation under 1.5 and 2℃ global warming present an overall increasing trend.Although their spatial distributions show similar characteristics, the additional half degree of global warming will lead to a higher risk.For example, extreme precipitation that occurs once every 50 years will become once every 14 or 17 years under the 1.5 and 2℃ global warming, respectively, and extreme precipitation will become more frequent.There are regional differences in how each region reacts to global warming, among which the middle and upper reaches of the Yangtze and Yellow Rivers and the Qinghai-Tibet Plateau region in Western China, and the middle and lower reaches of the Yangtze and Yellow Rivers and their tributaries in Eastern China, are regions that are highly sensitive to climate change, with probability ratios of 3 or even 5 or more.Furthermore, the influence and contribution measures of location and scale parameters on the probability ratios are explored theoretically using probability distributions, which are also used to explore the influences of climate means and variability changes on the risks of extreme precipitation.The results show that there are significant differences between Eastern China and Western China in the incremental changes of location and scale parameters, and in the rates of probability changes, which lead to differences in the factors that influence the risk of extreme precipitation.In Western China, although the changes in climate means and variabilities of extreme precipitation are small, the probability ratios increase significantly due to the high rates of changes in probability.In contrast, the change rates are small, but the climate means and variabilities are increasing significantly, which also lead to an increase in Eastern China.Moreover, compared to the location parameters, the increased risks in most regions of China are mainly due to the anticipated changes in scale parameters of extreme precipitation.