Leveraging Scientific Community Knowledge for Air Quality Model Chemistry Parameterizations
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Pye, Havala O. T., Rebecca H. Schwantes, Kelley C. Barsanti, V. Faye McNeill, and Glenn M. Wolfe. “Leveraging Scientific Community Knowledge for Air Quality Model Chemistry Parameterizations,” The Magazine for Enviornmental Managers, January 1, 2024. https://ntrs.nasa.gov/citations/20240000094
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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Public Domain Mark 1.0 Universal
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Abstract
Air pollution contributes to adverse health outcomes.Approximately 121 million people in the United States—one third of the population—live where National Ambient Air Quality Standards (NAAQS) are violated. In most cases, the criteria pollutants exceeding standards are ozone (O₃) and fine particles (PM₂.₅). In addition, 188 substances known or suspected to cause cancer or other serious health effects are designated as hazardous air pollutants (HAPs). Essentially, all O₃ and significant portions of PM₂.₅ and HAPs are produced in the atmosphere through chemical and physical processes. In the case of PM₂.₅, subcomponents formed primarily from precursor gases—sulfate, nitrate, ammonium, and secondary organic aerosol (SOA)—account for 60% of the U.S. county-level annual mean concentration. In addition, 47% of the cancer risk and 25% of the noncancer risk from HAPs have been attributed to atmospheric chemistry rather than direct emissions. In this article, we introduce the role of chemical mechanisms in air quality models, a new atmospheric science community effort, and needs for further mechanism development.