Literature DB >> 30005158

Additional Benefits of Federal Air-Quality Rules: Model Estimates of Controllable Biogenic Secondary Organic Aerosol.

Annmarie G Carlton1, Havala O T Pye2, Kirk R Baker3, Christopher J Hennigan4.   

Abstract

Atmospheric models that accurately describe the fate and transport of trace species for the right reasons aid in the development of effective air-quality management strategies that safeguard human health. Controllable emissions facilitate the formation of biogenic secondary organic aerosol (BSOA) to enhance the atmospheric fine particulate matter (PM2.5) burden. Previous modeling with the EPA's Community Multiscale Air Quality (CMAQ) model predicted that anthropogenic primary organic aerosol (POA) emissions had the greatest impact on BSOA. That experiment included formation processes involving semivolatile partitioning but not aerosol liquid water (ALW), a ubiquitous PM constituent. We conduct 17 summertime CMAQ simulations with updated chemistry and evaluate changes in BSOA due to the removal of individual pollutants and source sectors for the contiguous U.S. CMAQ predicts SO2 from electricity generating units, and mobile source NOX emissions have the largest impacts on BSOA. The removal of anthropogenic NOX, SO2, and POA emissions during the simulation reduces the nationally averaged BSOA by 23, 14, and 8% and PM2.5 by 9.2, 14, and 5.3%, respectively. ALW mass concentrations decrease by 10 and 35% in response to the removal of NOX and SO2 emissions. This work contributes chemical insight into ancillary benefits of Federal NOX and SO2 rules that concurrently reduce organic PM2.5 mass.

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Year:  2018        PMID: 30005158      PMCID: PMC6748392          DOI: 10.1021/acs.est.8b01869

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 in total

1.  Controlling Biogenic Particle Mass with NOx and SOx.

Authors:  Annmarie G Carlton; Sherri W Hunt
Journal:  EM (Pittsburgh Pa)       Date:  2019-05-01

2.  Human-health impacts of controlling secondary air pollution precursors.

Authors:  Havala O T Pye; K Wyat Appel; Karl M Seltzer; Cavin K Ward-Caviness; Benjamin N Murphy
Journal:  Environ Sci Technol Lett       Date:  2022-02-08

3.  Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model.

Authors:  James T Kelly; Carey Jang; Yun Zhu; Shicheng Long; Jia Xing; Shuxiao Wang; Benjamin N Murphy; Havala O T Pye
Journal:  Atmosphere (Basel)       Date:  2021-08-14       Impact factor: 3.110

4.  Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States.

Authors:  Xiaoyang Chen; Yang Zhang; Kai Wang; Daniel Tong; Pius Lee; Youhua Tang; Jianping Huang; Patrick C Campbell; Jeff Mcqueen; Havala O T Pye; Benjamin N Murphy; Daiwen Kang
Journal:  Geosci Model Dev       Date:  2021-06-29       Impact factor: 6.892

5.  Phase Behavior of Internal Mixtures of Hydrocarbon-like Primary Organic Aerosol and Secondary Aerosol Based on Their Differences in Oxygen-to-Carbon Ratios.

Authors:  Fabian Mahrt; Yuanzhou Huang; Julia Zaks; Annesha Devi; Long Peng; Paul E Ohno; Yi Ming Qin; Scot T Martin; Markus Ammann; Allan K Bertram
Journal:  Environ Sci Technol       Date:  2022-03-16       Impact factor: 9.028

  5 in total

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