Air pollution modelling and control represent critical intersections between environmental science, engineering and public policy. Modelling techniques—ranging from deterministic dispersion models and ...

New modeling from the University of Waterloo reveals that by 2100, 100 million Americans will routinely breathe air ...

AI is helping scientists detect pollution earlier by combining data from water, air, and soil to spot environmental damage ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

A major review is underway to modernise the methods for modelling air pollutants in NSW, with consultation now open on ...

A new ADB report highlights that accurate pollution measurement at the source, not just modeling its spread, is critical for ...

New modelling shows almost one in three Americans will routinely breathe air considered unhealthy for sensitive people by the year 2100 due to climate change, a sevenfold increase compared to the turn ...

The air quality in Swedish cities has improved continuously over the last twenty years, according to a research collaboration based at the University of Gothenburg. Several thousand deaths may have ...