Literature DB >> 19569354

Climate-relevant properties of diesel particulate emissions: results from a piggyback study in Bangkok, Thailand.

R Subramanian1, Ekbordin Winijkul, Tami C Bond, Worrarat Thiansathit, Nguyen Thi Kim Oanh, Ittipol Paw-armart, K G Duleep.   

Abstract

A "piggyback" approach is used to characterize aerosol emissions to obtain input for large-scale models of atmospheric transport. Particulate and gaseous emissions from diesel trucks, light-duty vehicles, and buses were measured by the Bangkok Pollution Control Department as part of the Developing Integrated Emissions Strategies for Existing Land Transport (DIESEL) project. We added filter-based measurements of carbonaceous composition, particulate light absorption, and water uptake. For 88 "normal" diesel vehicles (PM emission rate < 4.7 g/kg), our best estimate of the average PM2.5 emission rate is 2.2 +/- 0.5 g/kg, whereas for 15 high emitters, it is 8.4 +/- 1.9 g/kg. The effect of Euro standards on PM emission rates was apparent for heavy-duty vehicles, but not for light-duty vehicles. Carbonaceous composition appears relatively consistent, with particulate (artifact-corrected) OC at 17 +/- 1% and EC at 40 +/- 8% of PM for 103 pickups, vans, heavy-duty trucks and buses. The median absorption cross-section for EC is 10.5 m2/g at 532 nm. The history of average emission rate and chemical composition during the project suggests that about 25 vehicles can provide a regional PM emission rate for normal vehicles. Other studies such as remote sensing measurements will be required to estimate the important contribution of high-emitting vehicles.

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Year:  2009        PMID: 19569354     DOI: 10.1021/es8032296

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


  2 in total

1.  Positive sampling artifacts in particulate organic carbon measurements in roadside environment.

Authors:  Yan Cheng; Shun Cheng Lee; Kin Fai Ho; Kochy Fung
Journal:  Environ Monit Assess       Date:  2009-09-16       Impact factor: 2.513

2.  Exposure to ambient black carbon derived from a unique inventory and high-resolution model.

Authors:  Rong Wang; Shu Tao; Yves Balkanski; Philippe Ciais; Olivier Boucher; Junfeng Liu; Shilong Piao; Huizhong Shen; Maria Raffaella Vuolo; Myrto Valari; Han Chen; Yuanchen Chen; Anne Cozic; Ye Huang; Bengang Li; Wei Li; Guofeng Shen; Bin Wang; Yanyan Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

  2 in total

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