During the last few decades, worsening air quality has been diagnosed in many cities
around the world. The accurately prediction of air pollutants, particularly, particulate matter …

In the quest to reconcile public perception of air pollution with scientific measurements, our
study introduced a pioneering method involving a gradient boost-regression tree model …

Air pollution threatens human health, necessitating effective and convenient air quality
monitoring. Recently, there has been a growing interest in using camera images for air …

Recent studies in the southwestern United States have shown that smelting processes and
mine tailings emit heavy metal (loid) s that are distributed via wind dispersion to nearby …

An efficient, accurate and high-resolution PM 2.5 monitoring approach is critical to pollution
control and public health. Here we propose an image-based method for PM 2.5 …

Aerosol optical depth (AOD) data derived from satellite products have been widely used to
estimate fine particulate matter (PM2. 5) concentrations. However, existing approaches to …

Abstract South Asian megacities, notably Delhi, are significant contributors to air pollution,
driven by factors such as population density, vehicular emissions, and industry, posing …

Background Air pollution has caused a significant burden in terms of mortality and mobility
worldwide. However, the current coverage of air quality monitoring networks is still limited …

PM2. 5 participates in light scattering, leading to degraded outdoor views, which forms the
basis for estimating PM2. 5 from photographs. This paper devises an algorithm to estimate …

Accurate and timely air quality forecasting is crucial for mitigating pollution-related hazards
and protecting public health. Recently, there has been a growing interest in integrating …