Literature DB >> 21458027

Particulate emission factors for mobile fossil fuel and biomass combustion sources.

John G Watson1, Judith C Chow, L-W Antony Chen, Douglas H Lowenthal, Eric M Fujita, Hampden D Kuhns, David A Sodeman, David E Campbell, Hans Moosmüller, Dongzi Zhu, Nehzat Motallebi.   

Abstract

PM emission factors (EFs) for gasoline- and diesel-fueled vehicles and biomass combustion were measured in several recent studies. In the Gas/Diesel Split Study (GD-Split), PM(2.5) EFs for heavy-duty diesel vehicles (HDDV) ranged from 0.2 to ~2 g/mile and increased with vehicle age. EFs for HDDV estimated with the U.S. EPA MOBILE 6.2 and California Air Resources Board (ARB) EMFAC2007 models correlated well with measured values. PM(2.5) EFs measured for gasoline vehicles were ~two orders of magnitude lower than those for HDDV and did not correlate with model estimates. In the Kansas City Study, PM(2.5) EFs for gasoline-powered vehicles (e.g., passenger cars and light trucks) were generally <0.03 g/mile and were higher in winter than summer. EMFAC2007 reported higher PM(2.5) EFs than MOBILE 6.2 during winter, but not during summer, and neither model captured the variability of the measured EFs. Total PM EFs for heavy-duty diesel military vehicles ranged from 0.18±0.03 and 1.20±0.12 g/kg fuel, corresponding to 0.3 and 2 g/mile, respectively. These values are comparable to those of on-road HDDV. EFs for biomass burning measured during the Fire Laboratory at Missoula Experiment (FLAME) were compared with EFs from the ARB Emission Estimation System (EES) model. The highest PM(2.5) EFs (76.8±37.5 g/kg) were measured for wet (>50% moisture content) Ponderosa Pine needles. EFs were generally <20 g/kg when moisture content was <20%. The EES model agreed with measured EFs for fuels with low moisture content but underestimated measured EFs for fuel with moisture content >40%. Average EFs for dry chamise, rice straw, and dry grass were within a factor of three of values adopted by ARB in California's San Joaquin Valley (SJV). Discrepancies between measured and modeled emission factors suggest that there may be important uncertainties in current PM(2.5) emission inventories.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21458027     DOI: 10.1016/j.scitotenv.2011.02.041

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Disparities in exposure to automobile and truck traffic and vehicle emissions near the Los Angeles-Long Beach port complex.

Authors:  Douglas Houston; Wei Li; Jun Wu
Journal:  Am J Public Health       Date:  2013-05-16       Impact factor: 9.308

2.  Household Fuel Use and Cardiovascular Disease Mortality: Golestan Cohort Study.

Authors:  Sumeet S Mitter; Rajesh Vedanthan; Farhad Islami; Akram Pourshams; Hooman Khademi; Farin Kamangar; Christian C Abnet; Sanford M Dawsey; Paul D Pharoah; Paul Brennan; Valentin Fuster; Paolo Boffetta; Reza Malekzadeh
Journal:  Circulation       Date:  2016-06-14       Impact factor: 29.690

3.  Emission of metals from pelletized and uncompressed biomass fuels combustion in rural household stoves in China.

Authors:  Wei Zhang; Yindong Tong; Huanhuan Wang; Long Chen; Langbo Ou; Xuejun Wang; Guohua Liu; Yan Zhu
Journal:  Sci Rep       Date:  2014-07-08       Impact factor: 4.379

  3 in total

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