Abstract Machine learning (ML) is an artificial intelligence technology that has been used in
atmospheric pollution research due to their powerful fitting ability. In this review, 105 articles …

Ozone (O 3) pollution in the atmosphere is getting worse in many cities. In order to improve
the accuracy of O 3 prediction and obtain the spatial distribution of O 3 concentration over a …

Particulate matter (PM) is the air pollutant that causes the greatest deleterious health effects
across the world, so PM is routinely monitored within air quality networks, usually in respect …

Reactive oxygen species (ROS) carried or induced by particulate matter (PM) are suspected
of inducing oxidative stress in vivo, leading to adverse health impacts such as respiratory or …

Long-term monitoring at sites with relatively low particulate pollution could provide an
opportunity to identify changes in pollutant concentration and potential effects of current air …

Ambient particulate matter (PM) is a major contributor to air pollution, leading to adverse
health effects on the human population. It has been suggested that the oxidative potential …

Brown carbon (BrC) constitutes a large fraction of organic carbon and exhibits strong light
absorption properties, thus affecting the global radiation budget. In this study, we …

PM 10 aerosol was measured during one semester, simultaneously, at a roadside (RS) and
an urban background (UB) location in Coimbra, Portugal. On average, the mass …

Background Prenatal exposure to fine particulate matter (PM2. 5) assessed through its mass
concentration has been associated with foetal growth restriction in studies based on outdoor …

This study aimed to evaluate the oxidative potential (OP) of PM 2.5 collected for almost a
year in an urban area of the East Mediterranean. Two acellular assays, based on ascorbic …