Literature DB >> 33156619

Vehicle Exhaust Remote Sensing Device Method to Screen Vehicles for Evaporative Running Loss Emissions.

Gary A Bishop1, Timothy H DeFries2, James A Sidebottom3, James M Kemper3.   

Abstract

Vehicle hydrocarbon (HC) emissions can be emitted from either tailpipe or nontailpipe locations, and understanding their fleet apportionment is important for a successful air pollution policy. Vehicles initially misidentified as having elevated tailpipe HC emissions first indicated that roadside exhaust sensors could detect the presence of evaporative HC emissions as increased noise in the HC/carbon dioxide (CO2) correlation measurement. The 90th percentile of the largest residual of the HC/CO2 correlation is defined as a running loss index (RLI) for each measurement. An RLI that is three standard deviations or greater above the instrument noise indicates possible evaporative running loss emissions with the probability increasing with larger RLI values. Two databases of vehicle emission measurements previously collected in West Los Angeles in 2013 and 2015 were screened using this method. The screening estimated that 0.09% (31/33,806) and 0.18% (49/27,413) of the attempted measurements indicated evaporative running loss emissions from a 9-year-old fleet. California LEV I certified vehicles (1994-2003 model years) accounted for the largest age group for both. The minimum detection limits for the instrument used were estimated at 2.8 and 1.6 g/mile on a propane basis for the 2013 and 2015 data, respectively, or 32-56 times the Federal Tier 2 and Tier 3 standards of 0.05 g/mile.

Entities:  

Year:  2020        PMID: 33156619     DOI: 10.1021/acs.est.0c05433

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


  2 in total

Review 1.  Atmospheric, Water and Acoustic Pollution from Hydrocarbon Activities in the American Continent: A Literature Review.

Authors:  Maylin Ordoñez-Obando; Oliver Rodas-López; Carlos Pazmiño-Uruchima; Cristopher Cañarte-Ayon; Luis Rivera-González; Kenny Escobar-Segovia
Journal:  Int J Environ Res Public Health       Date:  2022-08-04       Impact factor: 4.614

2.  Improvement of the Theoretical Model for Evaluating Evaporative Emissions in Parking and Refueling Events of Gasoline Fleets Based on Thermodynamics.

Authors:  Genta Noumura; Hiroo Hata; Hiroyuki Yamada; Kenichi Tonokura
Journal:  ACS Omega       Date:  2022-09-02
  2 in total

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