TY - JOUR
T1 - Substantially underestimated global health risks of current ozone pollution
AU - Wang, Yuan
AU - Yang, Yuanjian
AU - Yuan, Qiangqiang
AU - Li, Tongwen
AU - Zhou, Yi
AU - Zong, Lian
AU - Wang, Mengya
AU - Xie, Zunyi
AU - Ho, Hung Chak
AU - Gao, Meng
AU - Tong, Shilu
AU - Lolli, Simone
AU - Zhang, Liangpei
N1 - Funding Information:
Our study is sustained by the National Key R&D Program of China 2023YFF0804800 (Y.W.), National Science Foundation of China 42230108 (Lp.Z.), 42222503 (Y.Y.), and 42471414 (Q.Y.), Fundamental Research Funds for the Central Universities 2042022dx0002 (Lp.Z.), 2042024kf0020 (Q.Y.), and 2042023kfyq04 (Q.Y.), and Startup Foundation for Introducing Talent of NUIST 1523142401007 (Y.W.). The authors would like to express sincere gratitude to all the institutions for providing datasets and their supports of this study.
Publisher Copyright:
© The Author(s) 2024
PY - 2025/1/2
Y1 - 2025/1/2
N2 - Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future.
AB - Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future.
UR - http://www.scopus.com/inward/record.url?scp=85213983333&partnerID=8YFLogxK
U2 - 10.1038/s41467-024-55450-0
DO - 10.1038/s41467-024-55450-0
M3 - Journal article
C2 - 39747001
AN - SCOPUS:85213983333
SN - 2041-1723
VL - 16
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 102
ER -