The Frontiers of Society, Science and Technology, 2020, 2(17); doi: 10.25236/FSST.2020.021704.
Ruixue Sun1, Guizhi Wang1*, Xinyue Zhang2, Xiaodong Liu3, Jie Cao4
1 School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China.
2 Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
3 School of Computing, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH10 5DT, UK.
4 Xuzhou University of Technology, Xuzhou 221000, China.
*Corresponding Author
Air pollution affects people’s health and daily life. In previous studies, mean exposure response coefficient was often used to study the impact of air pollution on health. However, using the mean exposure response coefficient weakens the impact of air pollution on children and the elderly. This paper optimized the use of exposure response coefficient, taking Beijing from 2014 to 2018 as an example, used Integrated Exposure-response (IER) model and life table to estimate the number of premature deaths and years of potential life lost (YPLL), and compared the results before and after optimization. Results show that with the reduction of PM2.5 concentration, the number of premature deaths of Beijing in 2018 decreased by about 2,000 compared with 2014, and YPLL decreased by 0.2 y. By comparing the results before and after optimization, it was found that previous studies had weakened the impact of PM2.5 on human health. Therefore, it is necessary to distinguish ages in air pollution studies. When the question involves the population of all ages, the result of mean exposure response coefficient could be used as the lower limit of the research results.
Air pollution, Integrated Exposure-response model, YPLL, Premature death, Exposure risk
Ruixue Sun, Guizhi Wang, Xinyue Zhang, Xiaodong Liu, Jie Cao. Research on Optim ization of Pm2.5 Exposure Risk Based on the Relationship between Exposure Risk and Age. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 17: 23-36. https://doi.org/10.25236/FSST.2020.021704.
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