A comparison of machine learning methods for ozone pollution prediction
Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …
[HTML][HTML] Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019
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 characteristics of ozone distribution and assessing ozone exposure levels in …
Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China
K Xiong, X Xie, J Mao, K Wang, L Huang, J Li… - Environmental Pollution, 2023 - Elsevier
Due to inherent errors in the chemical transport models, inaccuracies in the input data, and
simplified chemical mechanisms, ozone (O 3) predictions are often biased from …
simplified chemical mechanisms, ozone (O 3) predictions are often biased from …
Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method
Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …
Four years of National Clean Air Programme (NCAP) in Indian cities: Assessment of the impact on surface ozone during the period 2018–2022
GS Gopikrishnan, J Kuttippurath - Sustainable Cities and Society, 2024 - Elsevier
There is a significant increase in ozone at the surface and troposphere due to growing
population, industrialisation and urbanisation. The initiation of National Clean Air …
population, industrialisation and urbanisation. The initiation of National Clean Air …
[HTML][HTML] Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model
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 …
health and ecosystems. At present, data fusion frameworks only provided ground-level O 3 …
Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China
Environmental exposure to surface ozone (O 3) has become a major public health concern.
To accurately estimate the spatial-coverage O 3 from sparse ground-truth data, we here …
To accurately estimate the spatial-coverage O 3 from sparse ground-truth data, we here …
Rebuilding high-quality near-surface ozone data based on the combination of WRF-Chem model with a machine learning method to better estimate its impact on crop …
T Han, X Hu, J Zhang, W Xue, Y Che, X Deng… - Environmental …, 2023 - Elsevier
In recent years, the problem of surface ozone pollution in China has been of great concern.
According to observation data from monitoring stations, the concentration of near-surface …
According to observation data from monitoring stations, the concentration of near-surface …
[HTML][HTML] Air quality improvement and cognitive function benefit: Insight from clean air action in China
X Hu, Z Nie, Y Ou, Z Qian, SE McMillin, HE Aaron… - Environmental …, 2022 - Elsevier
Introduction Epidemiological evidence suggests associations between long-term exposure
to air pollution and accelerated cognitive decline. China implemented a strict clean air action …
to air pollution and accelerated cognitive decline. China implemented a strict clean air action …
Development of a high-performance machine learning model to predict ground ozone pollution in typical cities of China
Y Cheng, LY He, XF Huang - Journal of Environmental Management, 2021 - Elsevier
High ozone concentrations have adverse effects on human health and ecosystems. In recent
years, the ambient ozone concentration in China has shown an upward trend, and high …
years, the ambient ozone concentration in China has shown an upward trend, and high …