Estimation of VOC emission factors from flux measurements using a receptor model and footprint analysis. Kota, S. H., Park, C., Hale, M. C., Werner, N. D., Schade, G. W., & Ying, Q. ATMOSPHERIC ENVIRONMENT, 82:24-35, PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, JAN, 2014.
doi  abstract   bibtex   
Fluxes of 18 volatile organic compounds (VOCs) collected during May to July 2008 from a tower platform 60 m above the surface in an urban Houston residential area were analyzed using receptor-oriented statistical models and an analytical flux-footprint model to resolve daytime source specific emissions rates. The Multilinear Engine version 2 (ME-2) was used to determine that five sources were responsible for the measured flux at the tower: (i) vehicle exhaust, (ii) a foam plastics industrial source with significant pentane emissions, (iii) consumer and commercial solvent use emissions, (iv) a biogenic emissions source dominated by isoprene, and, (v) evaporative fuel emissions. The estimated median daytime (0700-1900 CST) hourly emission rate from the foam plastics industry was 15.7 +/- 3.1 kg h(-1), somewhat higher than its permitted hourly emission rates. The median daytime vehicle exhaust VOC emission rate of 14.5 +/- 2 g h(-1) vehicle(-1), was slightly higher than our estimation using the Motor Vehicle Emission Simulator (MOVES) with a county-representative vehicle fleet of year 2008 (11.6 +/- 02 g h(-1) vehicle(-1)). The median daytime evaporative fuel VOCs emission rate from parked vehicles was 2.3 1.0 g h(-1) vehicle(-1), which is higher than MOVES estimations and could not be explained by the age of the vehicle fleet, indicating either locally higher evaporative emission sources in the footprint or an underestimation of evaporative emissions by MOVES, or both. (C) 2013 Elsevier Ltd. All rights reserved.
@article{ WOS:000329886200004,
Author = {Kota, Sri Harsha and Park, Changhyoun and Hale, Martin C. and Werner,
   Nicholas D. and Schade, Gunnar W. and Ying, Qi},
Title = {{Estimation of VOC emission factors from flux measurements using a
   receptor model and footprint analysis}},
Journal = {{ATMOSPHERIC ENVIRONMENT}},
Year = {{2014}},
Volume = {{82}},
Pages = {{24-35}},
Month = {{JAN}},
Abstract = {{Fluxes of 18 volatile organic compounds (VOCs) collected during May to
   July 2008 from a tower platform 60 m above the surface in an urban
   Houston residential area were analyzed using receptor-oriented
   statistical models and an analytical flux-footprint model to resolve
   daytime source specific emissions rates. The Multilinear Engine version
   2 (ME-2) was used to determine that five sources were responsible for
   the measured flux at the tower: (i) vehicle exhaust, (ii) a foam
   plastics industrial source with significant pentane emissions, (iii)
   consumer and commercial solvent use emissions, (iv) a biogenic emissions
   source dominated by isoprene, and, (v) evaporative fuel emissions. The
   estimated median daytime (0700-1900 CST) hourly emission rate from the
   foam plastics industry was 15.7 +/- 3.1 kg h(-1), somewhat higher than
   its permitted hourly emission rates. The median daytime vehicle exhaust
   VOC emission rate of 14.5 +/- 2 g h(-1) vehicle(-1), was slightly higher
   than our estimation using the Motor Vehicle Emission Simulator (MOVES)
   with a county-representative vehicle fleet of year 2008 (11.6 +/- 02 g
   h(-1) vehicle(-1)). The median daytime evaporative fuel VOCs emission
   rate from parked vehicles was 2.3 1.0 g h(-1) vehicle(-1), which is
   higher than MOVES estimations and could not be explained by the age of
   the vehicle fleet, indicating either locally higher evaporative emission
   sources in the footprint or an underestimation of evaporative emissions
   by MOVES, or both. (C) 2013 Elsevier Ltd. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ying, Q (Corresponding Author), Texas A\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.
   Kota, Sri Harsha; Ying, Qi, Texas A\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.
   Park, Changhyoun; Hale, Martin C.; Werner, Nicholas D.; Schade, Gunnar W., Texas A\&M Univ, Dept Atmospher Sci, College Stn, TX USA.}},
DOI = {{10.1016/j.atmosenv.2013.09.052}},
ISSN = {{1352-2310}},
EISSN = {{1873-2844}},
Keywords = {{Source apportionment; Positive Matrix Factorization (PMF); Multilinear
   Engine (ME-2); Motor Vehicle Emission Simulator (MOVES); Vehicle
   exhaust; Evaporative emissions; Foam plastics industry}},
Keywords-Plus = {{VOLATILE ORGANIC-COMPOUNDS; SOURCE APPORTIONMENT; ATMOSPHERIC AEROSOL;
   MULTILINEAR ENGINE; OZONE FORMATION; AIR-POLLUTANTS; HOUSTON; CHEMISTRY;
   QUALITY; EVENTS}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{qying@civil.tamu.edu}},
ResearcherID-Numbers = {{Schade, Gunnar/G-9000-2012
   }},
ORCID-Numbers = {{Schade, Gunnar/0000-0003-4327-0839
   Ying, Qi/0000-0002-4560-433X
   Kota, Sri/0000-0002-1977-2954}},
Funding-Acknowledgement = {{U.S. Environmental Protection AgencyUnited States Environmental
   Protection Agency {[}R834556]}},
Funding-Text = {{Although the research described in the article has been funded in part
   by the U.S. Environmental Protection Agency's Science to Achieve Results
   (STAR) program through grant (R834556), it has not been subjected to any
   EPA review and therefore does not necessarily reflect the views of the
   Agency, and no official endorsement should be inferred. We are indebted
   to the Houston Yellow Cab Co. and its employees for their altruistic
   support of this project.}},
Number-of-Cited-References = {{48}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{83}},
Journal-ISO = {{Atmos. Environ.}},
Doc-Delivery-Number = {{292EY}},
Unique-ID = {{WOS:000329886200004}},
DA = {{2021-12-02}},
}

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