H Dai, G Huang, J Wang, H Zeng - Ecotoxicology and environmental safety, 2023 - Elsevier
Ozone (O 3) pollution in the atmosphere is getting worse in many cities. In order to improve the accuracy of O 3 prediction and obtain the spatial distribution of O 3 concentration over a …
Z Yang, Z Li, F Cheng, Q Lv, K Li, T Zhang… - Remote Sensing of …, 2025 - Elsevier
Surface ozone (O 3) has become a primary pollutant affecting urban air quality and public health in mainland China. To address this concern, we developed a nation-wide surface …
J Yang, X Chen, M Li, Q Yao, Q Lv, B Gao… - Journal of Cleaner …, 2023 - Elsevier
With the rapid increase of ground-level ozone concentrations, the comprehensive management of PM 2.5-O 3 composite air pollution has become one of the most pressing …
Z Yan, Y Liu, W Wu, Y Jiang, LB Zhuo - Science of the Total Environment, 2023 - Elsevier
Background Heat stress (HS) exposure has been linked to cognitive dysfunction. In reality, high temperature does not occur alone in environment, and ozone (O 3) and heatwaves …
Q Zhu, D Zhang, W Wang, RR D'Souza, H Zhang… - Nature Mental …, 2024 - nature.com
As wildfires increasingly impact the global economy and public health, understanding their effects is crucial. Particularly, the relationship between wildfires and anxiety disorders …
Q He, J Cao, PE Saide, T Ye… - Environmental Science & …, 2024 - ACS Publications
Accurately mapping ground-level ozone concentrations at high spatiotemporal resolution (daily, 1 km) is essential for evaluating human exposure and conducting public health …
Escalating health risks associated with ambient ozone (O 3) pollution presents a pressing challenge to global population well-being. An ever-increasing body of evidence supports an …
X Long, Y Han, QY Wang, XK Li, T Feng… - Geophysical …, 2024 - Wiley Online Library
Tropospheric ozone significantly damages vegetation and reduces net primary productivity (NPP). We developed a stable linear NPP response model based on accumulated ozone …
V Balamurugan, J Chen, A Wenzel… - … Chemistry and Physics, 2023 - acp.copernicus.org
Abstract Machine learning (ML) models are becoming a meaningful tool for modeling air pollutant concentrations. ML models are capable of learning and modeling complex …