Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions
<p>In order to identify and quantify key species associated with non-exhaust emissions and exhaust vehicular emissions, a large comprehensive dataset of particulate species has been obtained thanks to simultaneous near-road and urban background measurements coupled with detailed traffic counts...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-04-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/19/5187/2019/acp-19-5187-2019.pdf |
| _version_ | 1818419828757626880 |
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| author | A. Charron A. Charron L. Polo-Rehn L. Polo-Rehn J.-L. Besombes B. Golly C. Buisson H. Chanut N. Marchand G. Guillaud J.-L. Jaffrezo |
| author_facet | A. Charron A. Charron L. Polo-Rehn L. Polo-Rehn J.-L. Besombes B. Golly C. Buisson H. Chanut N. Marchand G. Guillaud J.-L. Jaffrezo |
| author_sort | A. Charron |
| collection | DOAJ |
| description | <p>In order to identify and quantify key species associated with non-exhaust
emissions and exhaust vehicular emissions, a large comprehensive dataset of
particulate species has been obtained thanks to simultaneous near-road and
urban background measurements coupled with detailed traffic counts and
chassis dynamometer measurements of exhaust emissions of a few in-use
vehicles well-represented in the French fleet. Elemental carbon, brake-wear
metals (Cu, Fe, Sb, Sn, Mn), <span class="inline-formula"><i>n</i></span>-alkanes (C19-C26), light-molecular-weight
polycyclic aromatic hydrocarbons
(PAHs; pyrene, fluoranthene, anthracene) and two hopanes (17<span class="inline-formula"><i>α</i></span>21<span class="inline-formula"><i>β</i></span>norhopane and
17<span class="inline-formula"><i>α</i></span>21<span class="inline-formula"><i>β</i></span>hopane) are strongly associated with the
road traffic. Traffic-fleet emission factors have been determined for all of
them and are consistent with most recent published equivalent data. When
possible, light-duty- and heavy-duty-traffic emission factors are also
determined. In the absence of significant non-combustion emissions, light-duty-traffic
emissions are in good agreement with emissions from chassis
dynamometer measurements. Since recent measurements in Europe including those
from this study are consistent, ratios involving copper (<span class="inline-formula">Cu∕Fe</span> and <span class="inline-formula">Cu∕Sn</span>)
could be used as brake-wear emissions tracers as long as brakes with Cu
remain in use. Near the Grenoble ring road, where the traffic was largely
dominated by diesel vehicles in 2011 (70 %), the <span class="inline-formula">OC∕EC</span> ratio estimated for
traffic emissions was around 0.4. Although the use of quantitative data for
source apportionment studies is not straightforward for the identified
organic molecular markers, their presence seems to well-characterize fresh
traffic emissions.</p> |
| first_indexed | 2024-12-14T12:44:47Z |
| format | Article |
| id | doaj.art-f6a2d952b04d41e1acbc0c06f54927fb |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-14T12:44:47Z |
| publishDate | 2019-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-f6a2d952b04d41e1acbc0c06f54927fb2022-12-21T23:00:49ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-04-01195187520710.5194/acp-19-5187-2019Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissionsA. Charron0A. Charron1L. Polo-Rehn2L. Polo-Rehn3J.-L. Besombes4B. Golly5C. Buisson6H. Chanut7N. Marchand8G. Guillaud9J.-L. Jaffrezo10Université Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, FranceIFSTTAR, 69675 Bron, FranceUniversité Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, FranceIFSTTAR, 69675 Bron, FranceLCME, Université Savoie Mont Blanc, LCME, 73000 Chambéry, FranceLCME, Université Savoie Mont Blanc, LCME, 73000 Chambéry, FranceLICIT, ENTPE, IFSTTAR, 69518 Vaux en Velin, FranceAtmo Auvergne-Rhône-Alpes, 69500 Bron, FranceAix-Marseille Université, CNRS, LCE, 13331 Marseille, FranceAtmo Auvergne-Rhône-Alpes, 69500 Bron, FranceUniversité Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, France<p>In order to identify and quantify key species associated with non-exhaust emissions and exhaust vehicular emissions, a large comprehensive dataset of particulate species has been obtained thanks to simultaneous near-road and urban background measurements coupled with detailed traffic counts and chassis dynamometer measurements of exhaust emissions of a few in-use vehicles well-represented in the French fleet. Elemental carbon, brake-wear metals (Cu, Fe, Sb, Sn, Mn), <span class="inline-formula"><i>n</i></span>-alkanes (C19-C26), light-molecular-weight polycyclic aromatic hydrocarbons (PAHs; pyrene, fluoranthene, anthracene) and two hopanes (17<span class="inline-formula"><i>α</i></span>21<span class="inline-formula"><i>β</i></span>norhopane and 17<span class="inline-formula"><i>α</i></span>21<span class="inline-formula"><i>β</i></span>hopane) are strongly associated with the road traffic. Traffic-fleet emission factors have been determined for all of them and are consistent with most recent published equivalent data. When possible, light-duty- and heavy-duty-traffic emission factors are also determined. In the absence of significant non-combustion emissions, light-duty-traffic emissions are in good agreement with emissions from chassis dynamometer measurements. Since recent measurements in Europe including those from this study are consistent, ratios involving copper (<span class="inline-formula">Cu∕Fe</span> and <span class="inline-formula">Cu∕Sn</span>) could be used as brake-wear emissions tracers as long as brakes with Cu remain in use. Near the Grenoble ring road, where the traffic was largely dominated by diesel vehicles in 2011 (70 %), the <span class="inline-formula">OC∕EC</span> ratio estimated for traffic emissions was around 0.4. Although the use of quantitative data for source apportionment studies is not straightforward for the identified organic molecular markers, their presence seems to well-characterize fresh traffic emissions.</p>https://www.atmos-chem-phys.net/19/5187/2019/acp-19-5187-2019.pdf |
| spellingShingle | A. Charron A. Charron L. Polo-Rehn L. Polo-Rehn J.-L. Besombes B. Golly C. Buisson H. Chanut N. Marchand G. Guillaud J.-L. Jaffrezo Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions Atmospheric Chemistry and Physics |
| title | Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions |
| title_full | Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions |
| title_fullStr | Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions |
| title_full_unstemmed | Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions |
| title_short | Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions |
| title_sort | identification and quantification of particulate tracers of exhaust and non exhaust vehicle emissions |
| url | https://www.atmos-chem-phys.net/19/5187/2019/acp-19-5187-2019.pdf |
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