Size resolved traffic emission factors of submicrometer particles

2004 ◽  
Vol 38 (26) ◽  
pp. 4331-4340 ◽  
Author(s):  
Sara Janhäll ◽  
Åsa M. Jonsson ◽  
Peter Molnár ◽  
Erik A. Svensson ◽  
Mattias Hallquist
2004 ◽  
Vol 38 (5) ◽  
pp. 657-673 ◽  
Author(s):  
Adam Kristensson ◽  
Christer Johansson ◽  
Roger Westerholm ◽  
Erik Swietlicki ◽  
Lars Gidhagen ◽  
...  

2010 ◽  
Vol 44 (31) ◽  
pp. 3814-3822 ◽  
Author(s):  
Luis Carlos Belalcazar ◽  
Alain Clappier ◽  
Nadège Blond ◽  
Thomas Flassak ◽  
Joachim Eichhorn

2008 ◽  
Vol 8 (4) ◽  
pp. 15537-15594 ◽  
Author(s):  
W. Birmili ◽  
B. Alaviippola ◽  
D. Hinneburg ◽  
O. Knoth ◽  
T. Tuch ◽  
...  

Abstract. Atmospheric particle number size distributions of airborne particles (diameter range 10–500 nm) were measured over ten weeks at three sites in the vicinity of the A100 urban motorway in Berlin, Germany. The A100 carries about 180 000 vehicles on a weekday, and roadside particle size distributions showed a number maximum between 20 and 60 nm clearly related to the motorway emissions. The average total number concentration at roadside was 28 000 cm−3 with a total range between 1200 and 168 000 cm−3. At distances of 80 and 400 m from the motorway the concentrations decreased to mean levels of 11 000 and 9 000 cm−3, respectively. An obstacle-resolving dispersion model was applied to simulate the 3-D flow field and traffic tracer transport in the urban environment around the motorway. By inverse modelling, vehicle emission factors were derived, representative of a relative share of 6% lorry-like vehicles, and a driving speed of about 80 km h−1. Three different calculation approaches were compared, which differ in the choice of the experimental winds driving the flow simulation. The average emission factor per vehicle was 2.1(±0.2) · 1014 km−1 for particle number and 0.077(±0.01) · 1014 cm3 km−1 for particle volume. Regression analysis suggested that lorry-like vehicles emit 116 (± 21) times more particulate number than passenger car-like vehicles, and that lorry-like vehicles account for about 91% of particulate number emissions on weekdays. Our work highlights the increasing applicability of 3-D flow models in urban microscale environments and their usefulness in determining traffic emission factors.


Atmósfera ◽  
2019 ◽  
Vol 32 (3) ◽  
pp. 213-223
Author(s):  
Katerina Maneva Mitrovikj ◽  
◽  
Franišek Skácel ◽  

2009 ◽  
Vol 43 (36) ◽  
pp. 5830-5837 ◽  
Author(s):  
Luis Carlos Belalcazar ◽  
Oliver Fuhrer ◽  
Minh Dung Ho ◽  
Erika Zarate ◽  
Alain Clappier

2019 ◽  
Vol 19 (7) ◽  
pp. 5187-5207 ◽  
Author(s):  
Aurélie Charron ◽  
Lucie Polo-Rehn ◽  
Jean-Luc Besombes ◽  
Benjamin Golly ◽  
Christine Buisson ◽  
...  

Abstract. 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), n-alkanes (C19-C26), light-molecular-weight polycyclic aromatic hydrocarbons (PAHs; pyrene, fluoranthene, anthracene) and two hopanes (17α21βnorhopane and 17α21βhopane) 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 (Cu∕Fe and Cu∕Sn) 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 OC∕EC 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.


2009 ◽  
Vol 9 (7) ◽  
pp. 2355-2374 ◽  
Author(s):  
W. Birmili ◽  
B. Alaviippola ◽  
D. Hinneburg ◽  
O. Knoth ◽  
T. Tuch ◽  
...  

Abstract. Atmospheric particle number size distributions of airborne particles (diameter range 10–500 nm) were collected over ten weeks at three sites in the vicinity of the A100 urban motorway in Berlin, Germany. The A100 carries about 180 000 vehicles on a weekday. The roadside particle distributions showed a number maximum between 20 and 60 nm clearly related to the motorway emissions. The average total number concentration at roadside was 28 000 cm−3 with a total range of 1200–168 000 cm−3. At distances of 80 and 400 m from the motorway the concentrations decreased to mean levels of 11 000 and 9000 cm−3, respectively. An obstacle-resolving dispersion model was applied to simulate the 3-D flow field and traffic tracer transport in the urban environment around the motorway. By inverse modelling, vehicle emission factors were derived that are representative of a fleet with a relative share of 6% lorry-like vehicles, and driving at a speed of 80 km h−1. Three different calculation approaches were compared, which differ in the choice of the experimental winds driving the flow simulation. The average emission factor per vehicle was 2.1 (±0.2) · 1014 km−1 for particle number and 0.077 (±0.01) · 1014 cm3 km−1 for particle volume. Regression analysis suggested that lorry-like vehicles emit 123 (±28) times more particle number than passenger car-like vehicles, and lorry-like vehicles account for about 91% of particulate number emissions on weekdays. Our work highlights the increasing applicability of 3-D flow models in urban microscale environments and their usefulness for determining traffic emission factors.


2012 ◽  
Vol 14 (9) ◽  
pp. 2488 ◽  
Author(s):  
Sara Janhäll ◽  
Peter Molnar ◽  
Mattias Hallquist

2018 ◽  
Author(s):  
Aurélie Charron ◽  
Lucie Polo-Rehn ◽  
Jean-Luc Besombes ◽  
Benjamin Golly ◽  
Christine Buisson ◽  
...  

Abstract. 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), n-alkanes (C19–C26), light molecular weight PAHs (Pyrene, Fluoranthene, Anthracene) and two hopanes (17α21βNorhopane and 17α21βhopane) 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 duty traffic emission factors are also determined. Most of the first ones are in good agreement with emissions from chassis dynamometer measurements in absence of significant non-combustion emissions. This study has shown that ratios involving copper (mainly Cu/Fe and Cu/Sn) could be used to trace brake-wear emissions as they seem to be roughly constant in Europe and as longer as Cu-free brake are not largely spread. In France where the traffic was largely dominated by diesel vehicles in 2011 (70 %), the OC/EC ratio typical of traffic emissions was around 0.44. On the contrary, the use of quantitative data for source apportionment studies is not straightforward for the identified organic molecular markers; while, their presence seems to well-characterized fresh traffic emissions.


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