Based on the temperature datasets from 1961 to 2005 at 96 meteorological stations, the spatiotemporal trends of climate change were analyzed in annual and seasonal timescales, by a linear and regression model, cumulative anomaly method, Mann-Kendall test and inverse distance weighted interpolation methods, in Northeastern China. The results showed that: (1) Both annual and seasonal mean temperature showed increasing trends, the annual mean temperature have rised by 0.07°Cwith a rate of 0.38°C/decade, and the highest increasing rates of temperature occured in the winter (0.53°C/decade) and lowest one was the in the summer (0.23°C/decade). (2) The results of Mann-Kendall test on temperature showed that the annual and seasonal mean temperature significantly increased at 95% of confidence. The climate jump of annual mean temperature took place in 1987, and the climate jumps of spring, summer, autumn and winter mean temperature occurred in 1988, 1993, 1989 and 1981, respectively, and these results were confirmed by the cumulative anomaly curve. (3) The higher the latitude, the more obvious the increasing trend, especially in winter, and therefore the temperature increased in most parts of the Northeastern China.However, the increasing trends in the northern region of the Da Hinggan Moutains and Xiao Hinggan Moutains were the most obvious.

Risk Analysis and Crisis Response under the Background of the Belt and Road (RAC-18