Abstract: In order to understand the high risk rules in Chongqing area, reducing the area of disaster losses caused by high temperature. Using the temperature data (1981-2010) in 34 ground meteorological observation stations in Chongqing area, combining the theory of information diffusion model, the author analyzed high temperature risk and the causes of the Chongqing area. The results showed that: the number of years the average maximum temperature, the high temperature days in Chongqing with time showed a linear increase trend; Chongqing had 3 extreme high temperature and high temperature days prone zone of high temperature; and4 regional Chongqing area number risk difference greatly, at high degrees of risk probability study, Chongqing 4 area at 36℃risk probability reached the maximum value stability, represented by the Qianjiang Region with a higher probability of risk, high temperature events; from the perspective of high temperature disaster risk distribution, with the area increased disaster grade of high temperature had also reduced accordingly. Based on this, it will provide the theoretical basis for disaster prevention and mitigation in Chongqing.