Literature DB >> 16681214

Retained nitrate, hydrated sulfates, and carbonaceous mass in federal reference method fine particulate matter for six eastern U.S. cities.

Neil H Frank1.   

Abstract

Material balance of fine particulate matter (PM2.5) measured with the Federal Reference Method (FRM) is developed for one rural and five urban locations in the eastern half of the United States using routine Speciation Trends Network (STN) and FRM chemical measurements and thermodynamic models. The Aerosol Inorganics Model is used to estimate retained particle bound water, and an ammonium nitrate evaporation model is used to estimate nitrate concentrations retained on the Teflon-membrane filter of the FRM. To address large uncertainties in carbonaceous mass calculated from STN carbon measurements, retained carbonaceous mass is derived by material balance between PM2.5 FRM mass and estimates of its non-carbon constituents. The resulting sulfate, adjusted nitrate, derived water, inferred carbonaceous material balance approach (SANDWICH) is compared with reconstructed fine mass (RCFM) using the Interagency Monitoring of Protected Visual Environments monitoring program equation. For this study, the SANDWICH method resulted in approximately 21-27% higher sulfate mass and approximately 24-85% lower nitrate mass. The combined mass associated with sulfates and nitrates, however, are well within +/- 10% of the proportion derived using the more traditional RCFM method. The discrepancies between SANDWICH and measurement-derived carbonaceous mass vary from -21% to +56% on an annual basis and are attributed in part to urban-rural source influences and uncertainties in estimating FRM-retained carbonaceous mass.

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Year:  2006        PMID: 16681214     DOI: 10.1080/10473289.2006.10464517

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  9 in total

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2.  A System for Developing and Projecting PM2.5 Spatial Fields to Correspond to Just Meeting National Ambient Air Quality Standards.

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3.  Multivariate spatial-temporal modeling and prediction of speciated fine particles.

Authors:  Jungsoon Choi; Montserrat Fuentes; Brian J Reich; Jerry M Davis
Journal:  J Stat Theory Pract       Date:  2009-06-01

4.  Spatial and temporal variations of PM2.5 mass closure and inorganic PM2.5 in the Southeastern U.S.

Authors:  Bin Cheng; Lingjuan Wang-Li; Nicholas Meskhidze; John Classen; Peter Bloomfield
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-13       Impact factor: 4.223

5.  Examining PM2.5 concentrations and exposure using multiple models.

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Journal:  Environ Res       Date:  2020-11-07       Impact factor: 6.498

6.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

7.  Spatial and temporal variation in PM(2.5) chemical composition in the United States for health effects studies.

Authors:  Michelle L Bell; Francesca Dominici; Keita Ebisu; Scott L Zeger; Jonathan M Samet
Journal:  Environ Health Perspect       Date:  2007-07       Impact factor: 9.031

8.  Ambient particulate matter air pollution in Mpererwe District, Kampala, Uganda: a pilot study.

Authors:  Stephan Schwander; Clement D Okello; Juergen Freers; Judith C Chow; John G Watson; Melody Corry; Qingyu Meng
Journal:  J Environ Public Health       Date:  2014-02-17

9.  Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley.

Authors:  Mariel D Friberg; Ralph A Kahn; James A Limbacher; K Wyat Appel; James A Mulholland
Journal:  Atmos Chem Phys       Date:  2018-07-09       Impact factor: 6.133

  9 in total

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