Earth’s atmosphere holds an ocean of water, enough liquid to fill Utah’s Great Salt Lake 800 times.

Butterflies and moths collect so much static electricity whilst in flight, that pollen grains from flowers can be pulled by static electricity across air gaps of several millimetres or centimetres.

A room-temperature method to decompose perfluoroalkyl substances (PFASs) using visible LED light offers a promising solution for sustainable fluorine recycling and PFAS treatment.

Lead levels in moss are as much as 600 times higher in older Portland neighborhoods where lead-sheathed telecommunications cables were once used compared to lead levels in nearby rural areas, a new study of urban moss has found.

The global steel industry is turning away from polluting coal-fired blast furnaces and toward cleaner electric arc furnaces, which now account for roughly half of all planned steelmaking capacity, according to a new report.

New research led by the University of East Anglia (UEA) and Plymouth Marine Laboratory (PML) has found that the Southern Ocean absorbs more carbon dioxide (CO2) than previously thought.

Since the discovery of GenX in the Cape Fear River in 2017, Lee Ferguson, professor of civil and environmental engineering at Duke University, has been a leading figure in sussing out other per- and polyfluoroalkyl substances (PFAS) compounds in water supplies across North Carolina and the nation.

World leaders must take advantage of a pivotal window of opportunity for forging a much-needed joined-up approach to tackle climate change and biodiversity loss, say scientists from York University and ZSL. 

The wildfire season of 2023 was the most destructive ever recorded in Canada and a new study suggests the impact was unprecedented.

A new automated system of monitoring and classifying persistent vibrations at active volcanoes can eliminate the hours of manual effort needed to document them.

Graduate student researcher Darren Tan at the University of Alaska Fairbanks Geophysical Institute led development of the system, which is based on machine learning. Machine learning is a branch of artificial intelligence focused on building systems that learn from data, identify patterns and make decisions with minimal human intervention.

Details about Tan’s automated system were published June 11 in the journal JGR Solid Earth.

His system documents volcanic tremor, a continuous, rhythmic seismic signal that emanates from a volcano. It often indicates underground movement of magma or gas and occurs regularly at active volcanoes.

Read more at: University of Alaska Fairbanks

Photo Credit: Ben David Jacob