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[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S ** and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China
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 …
the ecological environment and human health at the ground level. Large-scale and long …
[HTML][HTML] Application of land use regression model to assess outdoor air pollution exposure: A review
In this study, we reviewed the application of land use regression (LUR) models in various
regions worldwide to provide insight into approaches utilized for LUR models. We also …
regions worldwide to provide insight into approaches utilized for LUR models. We also …
Estimating spatiotemporal variation in ambient ozone exposure during 2013–2017 using a data-fusion model
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 …
However, recent studies suggest that ground surface O3 concentrations increased over the …
Using a land use regression model with machine learning to estimate ground level PM2. 5
Ambient fine particulate matter (PM 2.5) has been ranked as the sixth leading risk factor
globally for death and disability. Modelling methods based on having access to a limited …
globally for death and disability. Modelling methods based on having access to a limited …
Fine particulate matter (PM2. 5) trends from land surface changes and air pollution policies in China during 1980–2020
High levels of fine particulate matter (PM 2.5) pose a severe air pollution challenge in China.
Both land use changes and anthropogenic emissions can affect PM2. 5 concentrations. Only …
Both land use changes and anthropogenic emissions can affect PM2. 5 concentrations. Only …
[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 …
Evaluation of different machine learning approaches to forecasting PM2. 5 mass concentrations
With the rapid growth in the availability of data and computational technologies, multiple
machine learning frameworks have been proposed for forecasting air pollution. However …
machine learning frameworks have been proposed for forecasting air pollution. However …
Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach
Abstract The novel coronavirus (COVID-19), first identified at the end of December 2019, has
significant impacts on all aspects of human society. In this study, we aimed to assess the …
significant impacts on all aspects of human society. In this study, we aimed to assess the …
Spatial Modeling of Daily PM2.5, NO2, and CO Concentrations Measured by a Low-Cost Sensor Network: Comparison of Linear, Machine Learning, and Hybrid …
Previous studies have characterized spatial patterns of pollution with land use regression
(LUR) models from distributed passive or filter samplers at low temporal resolution. Large …
(LUR) models from distributed passive or filter samplers at low temporal resolution. Large …