LAUSR

The provinces of China have suffered from severe PM2.5 pollution in recent years, presenting a significant threat to human health. Identifying associations between mortality rate and PM2.5 level is extremely useful for a range of purposes, such as the development of preventive measures, increasing health awareness, and establishing disaster warning systems. Based on remote sensing data, station monitoring data, and statistical data, this paper uses the exposure response function, regression analysis, and kriging to evaluate the number of deaths in China’s 31 provinces caused by PM2.5 pollution in 2015. Variations in the number of deaths and mortality rates in China under different PM2.5 concentration control standards have been simulated by a range of countries and organizations helping to develop optimal control standards for each province individually according to actual PM2.5 concentration. These results show that: 1) PM2.5 pollution has an important effect on the mortality rate in China. The rate caused by PM2.5 pollution in 2015 accounted for 1.75‰, or approximately 2.62 million people and 31.14% of all deaths