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With its notoriously hot and humid climate and robust industrial environment, Houston is one of the most ozone-polluted cities in the United States. Now, a University of Houston research team is integrating the power of machine learning (ML) with innovative analysis techniques to pinpoint the city’s air pollution sources more accurately.

A team of scientists at University of Houston Department of Earth and Atmospheric Sciences examined air movement outdoors and its effects on the spread of respiratory diseases like COVID-19. The findings published online in Science of The Total Environment.

Masoud Ghahremanloo’s Work Published in Journal of Geophysical Research: Atmospheres

A University of Houston doctoral student has developed a more accurate artificial intelligence (AI) method for reading amounts of ground-level nitrogen dioxide (NO2) with the help of satellite technology.

As vehicle traffic lightened and industry slowed during the COVID-19 stay-at-home period in 2020, a University of Houston study by the air quality forecasting group led by Yunsoo Choi, associate professor in the Department of Earth and Atmospheric Sciences, estimates levels of potentially-dangerous air pollutants simultaneously decreased in major cities across the country.