Recently, researchers have prioritized the accurate forecasting of the particulate matter (PM)
air quality indicators PM 2.5 and PM 10 in urban and industrial locations due to their …

Abstract Background Satellite-based PM2. 5 predictions are being used to advance
exposure science and air-pollution epidemiology in developed countries; including …

In this contribution, we applied a multi-stage machine learning (ML) framework to map daily
values of nitrogen dioxide (NO 2) and particulate matter (PM 10 and PM 2.5) at a 1 km 2 …

PM 2.5 constitutes a complex and diverse mixture that significantly impacts the environment,
human health, and climate change. However, existing observation and numerical simulation …

The adaptive inverse distance weighting (IDW) interpolation method shows improved
computational advantages for building high-precision 3D geological models. However, in …

Background Limited research has examined associations between exposure to ambient
temperature, air pollution, and kidney function or injury during the preadolescent period. We …

Prenatal fine particulate matter (PM 2.5) and maternal psychological functioning have been
associated with child cognitive outcomes, though their independent and joint impacts on …

Air pollutants such as fine particulate matter (PM 2.5) and nitrogen oxide (NO x) are
important to study due to their harmful health effects; therefore, it is essential to accurately …

Air pollution is a serious challenge to humankind as it poses many health threats. It can be
measured using the air quality index (AQI). Air pollution is the result of contamination of both …

Leukemia is the most common childhood cancer and its etiology could be related to various
environmental contaminants such as particulate matter (PM). The objective of our study is to …