Abstract Model-estimated air pollution exposure assessments have been extensively
employed in the evaluation of health risks associated with air pollution. However, few …

Various approaches have been proposed to model PM 2.5 in the recent decade, with
satellite-derived aerosol optical depth, land-use variables, chemical transport model …

The main component of haze is the particulate matter (PM) 2.5. How to explore the laws of
PM2. 5 concentration changes is the main content of air quality prediction. Combining the …

Satellite data are vital for understanding the large-scale spatial distribution of particulate
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …

Ambient exposure to fine particulate matter (PM 2.5) is known to harm public health in
China. Satellite remote sensing measurements of aerosol optical depth (AOD) were …

With increasing public concerns on air pollution in China, there is a demand for long-term
continuous PM 2.5 datasets. However, it was not until the end of 2012 that China …

Estimating population exposure to particulate matter during wildfires can be difficult because
of insufficient monitoring data to capture the spatiotemporal variability of smoke plumes …

Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) poses
adverse impacts on public health and the environment. It is still a great challenge to estimate …

Air quality forecasting is a hot research topic that has been widely explored by the whole
society. To better understand environmental quality, numerous methods have been …

Over the past few decades, air pollution has caused serious damage to public health.
Therefore, making accurate predictions of PM2. 5 is a crucial task. Due to the transportation …