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Guanyu Huang Receives NSF Grant to Support Climate Change and Machine Learning Research

October 2021

Spelman Environmental Science Professor Guanyu Huang
Guanyu Huang, Ph.D., assistant professor in the Department of Environmental & Health Sciences, received a grant from the National Science Foundation to support climate change and machine learning research.

For the project, "HBCU-Excellence in Research: Estimate of Ground Nitrogen Dioxide (NO2) and Ozone Concentrations by Using Multiple Satellite Data and Machine Learning Techniques," Dr. Huang will serve as the principal investigator and work with students and a NASA scientist to improve satellites’ observations on NO2 and ozone at ground level using machine learning techniques. 

Why This Research Matters

Armed with a simple goal: "To prevent people from breathing garbage," Dr. Huang's groundbreaking research includes air quality, atmospheric chemistry and physics, remote sensing, numerical modeling, environmental big data, environmental health and environmental justice. This study will specifically help increase the research community's understanding of the mechanisms that control NO2 and ozone at ground-level and the results will be beneficial for air quality management and climate resilience planning.

Dr. Huang will also generate a dataset of ground-level NO2 and ozone with high resolution over the U.S. from 2004 – 2020. This dataset will reveal hotspots of air pollutions over the U.S. at community level.  The dataset will be used for studies of environmental health and environmental justice.

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