[HTML][HTML] Spatiotemporal distributions of surface ozone levels in China from 2005 to 2017: A machine learning approach

R Liu, Z Ma, Y Liu, Y Shao, W Zhao, J Bi - Environment international, 2020 - Elsevier
In recent years, ground-level ozone has become a severe ambient pollutant in major urban
areas of China, which has adverse impacts on population health. However, in-situ …

[HTML][HTML] Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019

X Meng, W Wang, S Shi, S Zhu, P Wang, R Chen… - Environmental …, 2022 - Elsevier
Evaluating ozone levels at high resolutions and accuracy is crucial for understanding the
spatiotemporal characteristics of ozone distribution and assessing ozone exposure levels in …

Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment

Y Zhan, Y Luo, X Deng, ML Grieneisen, M Zhang… - Environmental …, 2018 - Elsevier
In China, ozone pollution shows an increasing trend and becomes the primary air pollutant
in warm seasons. Leveraging the air quality monitoring network, a random forest model is …

Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021

Y Lyu, Q Ju, F Lv, J Feng, X Pang, X Li - Environmental Pollution, 2022 - Elsevier
China was seriously affected by air pollution in the past decade, especially for particulate
matter (PM) and emerging ozone pollution recently. In this study, we systematically …

Estimating spatiotemporal variation in ambient ozone exposure during 2013–2017 using a data-fusion model

T Xue, Y Zheng, G Geng, Q Xiao, X Meng… - … science & technology, 2020 - ACS Publications
Since 2013, clean-air actions in China have reduced ambient concentrations of PM2. 5.
However, recent studies suggest that ground surface O3 concentrations increased over the …

[HTML][HTML] Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign

B Guo, H Wu, L Pei, X Zhu, D Zhang, Y Wang… - Environment …, 2022 - Elsevier
Abstract Surface ozone (O 3), one of the harmful air pollutants, generated significantly
negative effects on human health and plants. Existing O 3 datasets with coarse …

[HTML][HTML] Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model

Y Wang, Q Yuan, L Zhu, L Zhang - Geoscience Frontiers, 2022 - Elsevier
Abstract Ground-level ozone (O 3) is a primary air pollutant, which can greatly harm human
health and ecosystems. At present, data fusion frameworks only provided ground-level O 3 …

Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China

J Wei, Z Li, K Li, RR Dickerson, RT Pinker… - Remote Sensing of …, 2022 - Elsevier
Ozone (O 3) is an important trace and greenhouse gas in the atmosphere, posing a threat to
the ecological environment and human health at the ground level. Large-scale and long …

[HTML][HTML] Spatiotemporal distribution of ground-level ozone in China at a city level

G Yang, Y Liu, X Li - Scientific Reports, 2020 - nature.com
In recent years, ozone (O3) pollution in China has shown a worsening trend. Due to the vast
territory of China, O3 pollution is a widespread and complex problem. It is vital to understand …

[HTML][HTML] A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019

X Weng, GL Forster, P Nowack - Atmospheric Chemistry and …, 2022 - acp.copernicus.org
Surface ozone concentrations increased in many regions of China from 2015 to 2019. While
the central role of meteorology in modulating ozone pollution is widely acknowledged, its …