Machine learning algorithm uses high-resolution micro-satellite imagery and weather data to detect levels of harmful air pollution with as much accuracy and more resolution than any current method.

As droughts become more frequent and intense, the fragmentation of water service in the U.S. leaves many households vulnerable to water contamination or loss of service.

Satellite data show that aerosol levels have dropped significantly since the COVID-19 lockdown began.

A report authored by a Texas A&M professor details how often people in the region will be threatened by the hazards of pollution and heat.

Paper reviews major findings, technological advances that could help in next deep-sea spill.

Elevated levels of nitrogen dioxide in the air may be associated with a high number of deaths from Covid-19.

A review of several major oil spills and how NOAA's roll in response to these events has evolved with time.

Unlike animals, which only digest proteins, carbohydrates and fats, microorganisms also feed on a variety of other organic compounds.

Jing Wang and his team at Empa and ETH Zurich usually work on measuring, analyzing and reducing airborne pollutants such as aerosols and artificially produced nanoparticles. 

In spring of 2019, researchers set out to investigate what chemicals could be found in the waters of Bangladesh.