Nine out of 10 people in the world breathe air that exceeds the World Health Organization's guidelines for air pollution. The era of big data and machine learning has facilitated predicting air ...

Air pollutants that have previously escaped monitoring can now be detected through a new method developed at the University of East Anglia (UEA), promising a more complete picture for people and ...

A research team used data from low-cost sensors, artificial intelligence and mobility data to improve models that assess human exposure to fine particulate matter (PM 2.5), tiny particles in smoke and ...

A large Chinese research team has developed an air quality model called EPICC (Emission and atmospheric Processes Integrated and Coupled Community Model) that demonstrates improved accuracy in its ...

Enacting a combination of four policies could reduce mismanaged plastic waste by 91% and greenhouse gas (GHG) emissions by about 37% third by 2050, according to a model created by scientists at the ...

As wildfire seasons intensify and air pollution continues to threaten public health, geographers are turning to new generations of artificial intelligence models to understand how environmental ...

People who breathe polluted air experience changes within the brain regions that control emotions, and as a result, they may be more likely to develop anxiety and depression than those who breathe ...

Nine out of 10 people in the world breathe air that exceeds the World Health Organization’s guidelines for air pollution. The era of big data and machine learning has facilitated predicting air ...

A biostatistician seeks to close the gap between novel air pollution prediction models and health studies. Nine out of 10 people in the world breathe air that exceeds the World Health Organization's ...