Open AccessPopulation weighted distribution of PM2.5 in 31 provinces in China
Author(s) -
Wen Jing,
Zheng Shu-fen,
Yunfeng Zhao,
Deshun Shen
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/657/1/012070
Subject(s) - china , population , air pollution , distribution (mathematics) , geography , pollution , statistics , chinese population , mathematics , environmental science , demography , physical geography , environmental health , medicine , archaeology , mathematical analysis , ecology , sociology , biology , biochemistry , chemistry , organic chemistry , gene , genotype
The traditional calculated PM2.5 based on the simple arithmetic average method (SAAM) is not adequate enough to reflect the influence of air pollution to public health and the exposed public. Considering the exposed population to air pollution, this study calculated PPM2.5 in 31 provinces in China by using the population weighted arithmetic average method (PWAA). The study shows that in 2018, most provinces have a significant difference between the populations weighted PM2.5 (PPM2.5) and the simple average value (PM2.5) in which Qinghai and Sichuan have the highest differences. Moreover, from 2013 to 2018, PPM2.5 based on 346 cities is higher than PM2.5 and the differences grow in escalation. Thus, compared with the SAAM, PPM2.5 based on the PWAA can reflect explicitly the impact of air pollution to the exposed population.