TY - JOUR
T1 - Understanding global PM2.5 concentrations and their drivers in recent decades (1998–2016)
AU - Lim, Chul Hee
AU - Ryu, Jieun
AU - Choi, Yuyoung
AU - Jeon, Seong Woo
AU - Lee, Woo Kyun
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea grant of the Ministry of Education (No. 2018R1D1A1B07049160), and Ministry of Science and ICT (No. 2019R1C1C1004979), and Korea University grant.
Funding Information:
We appreciate to Dr. Aaron van Donkelaar's team of the Atmospheric Physics Institute of the Dalhousie University in Canada, who provided the remotely sensed PM2.5 data used in this study. This work was supported by the National Research Foundation of Korea grant of the Ministry of Education (No. 2018R1D1A1B07049160), and Ministry of Science and ICT (No. 2019R1C1C1004979), and Korea University grant.
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/11
Y1 - 2020/11
N2 - The threat of fine particulate matter (PM2.5) is increasing globally. Tackling this issue requires an accurate understanding of its trends and drivers. In this study, global risk regions of PM2.5 concentrations during 1998–2016 were spatiotemporally derived. Time series analysis was conducted in the spatial relationship between PM2.5 and three socio-environmental drivers: population, urban ratio, and vegetation greenness that can cause changes in the concentration of PM2.5. “High Risk” areas were widely distributed in India and China. In India and sub-Saharan Africa, the increased overall population was strongly correlated with PM2.5 concentrations. Urban ratio increased in both developed and developing countries. A “decoupling” phenomenon occurred in developed countries, where urban expansion continued while PM2.5 concentrations decreased. Vegetation greenness and PM2.5 were strongly correlated in High Risk zones. Although urban expansion and population growth generally reduce vegetation greenness, developed countries reduced PM2.5 while maintaining greenness, whereas developing countries increased PM2.5 with decreasing greenness significantly in High Risk regions. Ultimately, economic and national growth should occur without increasing PM2.5 concentrations. Recent cases from Europe and the eastern United States demonstrate that this is possible, depending on the development pathway.
AB - The threat of fine particulate matter (PM2.5) is increasing globally. Tackling this issue requires an accurate understanding of its trends and drivers. In this study, global risk regions of PM2.5 concentrations during 1998–2016 were spatiotemporally derived. Time series analysis was conducted in the spatial relationship between PM2.5 and three socio-environmental drivers: population, urban ratio, and vegetation greenness that can cause changes in the concentration of PM2.5. “High Risk” areas were widely distributed in India and China. In India and sub-Saharan Africa, the increased overall population was strongly correlated with PM2.5 concentrations. Urban ratio increased in both developed and developing countries. A “decoupling” phenomenon occurred in developed countries, where urban expansion continued while PM2.5 concentrations decreased. Vegetation greenness and PM2.5 were strongly correlated in High Risk zones. Although urban expansion and population growth generally reduce vegetation greenness, developed countries reduced PM2.5 while maintaining greenness, whereas developing countries increased PM2.5 with decreasing greenness significantly in High Risk regions. Ultimately, economic and national growth should occur without increasing PM2.5 concentrations. Recent cases from Europe and the eastern United States demonstrate that this is possible, depending on the development pathway.
KW - Global correlation analysis
KW - Global trend analysis
KW - PM2.5
KW - Risk assessment
KW - Socio-environmental drivers
UR - http://www.scopus.com/inward/record.url?scp=85089242716&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2020.106011
DO - 10.1016/j.envint.2020.106011
M3 - Article
C2 - 32795749
AN - SCOPUS:85089242716
SN - 0160-4120
VL - 144
JO - Environmental International
JF - Environmental International
M1 - 106011
ER -