Literature DB >> 19728484

Methods to assess carbonaceous aerosol sampling artifacts for IMPROVE and other long-term networks.

John G Watson1, Judith C Chow, L W Antony Chen, Neil H Frank.   

Abstract

Volatile organic compounds (VOCs) and semi-volatile organic compounds (SVOCs) adsorb to quartz fiber filters during fine and coarse particulate matter (PM2.5 and PM10, respectively) sampling for thermal/optical carbon analysis that measures organic carbon (OC) and elemental carbon (EC). Particulate SVOCs can evaporate after collection, with a small portion adsorbed within the filter. Adsorbed organic gases are measured as particulate OC, so passive field blanks, backup filters, prefilter organic denuders, and regression methods have been applied to compensate for positive OC artifacts in several long-term chemical speciation networks. Average backup filter OC levels from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network were approximately 19% higher than field blank values. This difference is within the standard deviation of the average and likely results from low SVOC concentrations in the rural to remote environments of most IMPROVE sites. Backup filters from an urban (Fort Meade, MD) site showed twice the OC levels of field blanks. Sectioning backup filters from top to bottom showed nonuniform OC densities within the filter, contrary to the assumption that VOCs and SVOCs on a backup filter equal those on the front filter. This nonuniformity may be partially explained by evaporation and readsorption of vapors in different parts of the front and backup quartz fiber filter owing to temperature, relative humidity, and ambient concentration changes throughout a 24-hr sample duration. OC-PM2.5 regression analysis and organic denuder approaches demonstrate negative sampling artifact from both Teflon membrane and quartz fiber filters.

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Year:  2009        PMID: 19728484     DOI: 10.3155/1047-3289.59.8.898

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


  6 in total

1.  A Source Apportionment of U.S. Fine Particulate Matter Air Pollution.

Authors:  George D Thurston; Kazuhiko Ito; Ramona Lall
Journal:  Atmos Environ (1994)       Date:  2011-08       Impact factor: 4.798

2.  Recommended metric for tracking visibility progress in the Regional Haze Rule.

Authors:  Brett Gantt; Melinda Beaver; Brian Timin; Phil Lorang
Journal:  J Air Waste Manag Assoc       Date:  2018-05       Impact factor: 2.235

3.  Chemical composition, structures, and light absorption of N-containing aromatic compounds emitted from burning wood and charcoal in household cookstoves.

Authors:  Mingjie Xie; Zhenzhen Zhao; Amara L Holder; Michael D Hays; Xi Chen; Guofeng Shen; James J Jetter; Wyatt M Champion; Qin'geng Wang
Journal:  Atmos Chem Phys       Date:  2020-11-20       Impact factor: 6.133

4.  Spatial Variation in Particulate Matter Components over a Large Urban Area.

Authors:  Scott Fruin; Robert Urman; Fred Lurmann; Rob McConnell; James Gauderman; Ed Rappaport; Meredith Franklin; Frank D Gilliland; Martin Shafer; Patrick Gorski; Ed Avol
Journal:  Atmos Environ (1994)       Date:  2014-02-01       Impact factor: 4.798

5.  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

6.  Collocated comparisons of continuous and filter-based PM2.5 measurements at Fort McMurray, Alberta, Canada.

Authors:  Yu-Mei Hsu; Xiaoliang Wang; Judith C Chow; John G Watson; Kevin E Percy
Journal:  J Air Waste Manag Assoc       Date:  2016-03       Impact factor: 2.235

  6 in total

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