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 ...

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 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 ...

The model also successfully quantified the impact of typhoon position shifts on regional ozone levels, further proving its robustness. "We've gained a clearer picture of how weather patterns drive ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

In our recent Nature Geoscience article, we calculated the proportion of stream flow that derives from upstream, publicly owned treatment works and used that to estimate estrogenic compound ...

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 ...