Contribution of Organic and Elemental Carbon Fractions in Indian in-Used Vehicle-Exhaust Particulate Matter

2015 ◽  
Author(s):  
Moqtik Ashok Bawase ◽  
Amita Baikerikar ◽  
M R Saraf
Keyword(s):  
Particulate Matter ◽  
Elemental Carbon ◽  
Vehicle Exhaust ◽  
Carbon Fractions ◽  
Exhaust Particulate

Composition of Light-Duty Motor Vehicle Exhaust Particulate Matter in the Denver, Colorado Area

1999 ◽  
Vol 33 (14) ◽  
pp. 2328-2339 ◽  
Author(s):  
Steven H. Cadle ◽  
Patricia A. Mulawa ◽  
Eric C. Hunsanger ◽  
Ken Nelson ◽  
Ronald A. Ragazzi ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Motor Vehicle ◽  
Vehicle Exhaust ◽  
Light Duty ◽  
Exhaust Particulate

Light-Duty Motor Vehicle Exhaust Particulate Matter Measurement in the Denver, Colorado, Area

1999 ◽  
Vol 49 (9) ◽  
pp. 164-174 ◽  
Author(s):  
Steven H. Cadle ◽  
Patricia Mulawa ◽  
Eric C. Hunsanger ◽  
Ken Nelson ◽  
Ronald A. Ragazzi ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Motor Vehicle ◽  
Vehicle Exhaust ◽  
Light Duty ◽  
Exhaust Particulate

scholarly journals Evaluation of traffic exhaust contributions to ambient carbonaceous submicron particulate matter in an urban roadside environment in Hong Kong

2017 ◽  
Author(s):  
Berto P. Lee ◽  
Peter K. K. Louie ◽  
Connie Luk ◽  
Chak K. Chan
Keyword(s):  
Hong Kong ◽  
Particulate Matter ◽  
Elemental Carbon ◽  
Road Traffic ◽  
Control Strategies ◽  
Carbonaceous Aerosol ◽  
Local Source ◽  
Dispersion Modeling ◽  
Vehicle Exhaust ◽  
Road Traffic Emissions

Abstract. Road traffic has significant impacts on local air quality particularly in densely urbanized and populated areas where vehicle emissions are a major local source of ambient particulate matter. Characterization studies on road traffic emissions in Hong Kong are sparse due to the complexity of the urban built environment and the encountered transient engine loads which make emission factor and dispersion modeling approaches difficult to implement. This study provides an estimation of the contribution of vehicles powered by different fuels (gasoline, diesel, LPG) to carbonaceous aerosol based on ambient aerosol mass spectrometer (AMS) and elemental carbon (EC) measurements and real traffic data in an urban inner city environment with the aim to gauge the importance of different vehicle types to particulate matter burdens in a typical urban street canyon. On an average per-vehicle basis, contributions of diesel and gasoline vehicles to carbonaceous PM1 were similar, contrary to previous studies which attributed higher particulate matter emissions to diesel vehicles. This clear reduction is likely due to recent control strategies targeted at commercial vehicles and buses. LPG vehicles were found to be a negligible source of elemental carbon and only small contributor to organic particulate mass despite their high abundance in the traffic mix. Gasoline vehicle exhaust contained similar amounts of elemental carbon and organic species, while diesel vehicle exhaust was dominated by elemental carbon.

Exhaust Particulate Matter Emission Factors and Deterioration Rate for In-Use Motor Vehicles

2003 ◽  
Vol 125 (2) ◽  
pp. 513-523 ◽  
Author(s):  
B. Ubanwa ◽  
A. Burnette ◽  
S. Kishan ◽  
S. G. Fritz,
Keyword(s):  
Particulate Matter ◽  
Motor Vehicle ◽  
Emission Factors ◽  
Motor Vehicles ◽  
Heavy Duty ◽  
Vehicle Exhaust ◽  
Emission Data ◽  
Wide Range ◽  
Heavy Duty Diesel ◽  
Exhaust Particulate

Recent measurements and modeling of primary exhaust particulate matter (PM) emissions from both gasoline and diesel-powered motor vehicles suggest that many vehicles produce PM at rates substantially higher than assumed in the current EPA PM emission factor model, known as “PART5.” The discrepancy between actual versus modeled PM emissions is generally attributed to inadequate emissions data and outdated assumptions in the PART5 model. This paper presents a study with the objective of developing an in-house tool (a modified PART5 model) for the Texas Natural Resource Conservation Commission (TNRCC) to use for estimating motor vehicle exhaust PM emissions in Texas. The work included chassis dynamometer emissions testing on several heavy-duty diesel vehicles at the Southwest Research Institute (SwRI), analysis of the exhaust PM emissions and other regulated pollutants (i.e., HC,CO,NOx), review of related studies and exhaust PM emission data obtained from literature of similar types of light and heavy-duty vehicle tests, a review of the current PART5 model, and analysis of the associated emission deterioration rates. Exhaust PM emissions data obtained from the vehicle testing at SwRI and other similar studies (covering a relatively large number and wide range of vehicles) were merged, and finally, used to modify the PART5 model. The modified model, which was named PART5-TX1, was then used to estimate new exhaust PM emission factors for in-use motor vehicles. Modifications to the model are briefly described, along with emissions test results from the heavy-duty diesel-powered vehicles tested at SwRI. Readers interested in a detailed understanding of the techniques used to modify the PART5 model are referred to the final project report to TNRCC (Eastern Research Group 2000).

scholarly journals Quantification of Non-Exhaust Particulate Matter Traffic Emissions and the Impact of COVID-19 Lockdown at London Marylebone Road

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 190
Author(s):  
William Hicks ◽  
Sean Beevers ◽  
Anja H. Tremper ◽  
Gregor Stewart ◽  
Max Priestman ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Measurement Data ◽  
Emission Factors ◽  
Meteorological Conditions ◽  
Traffic Emissions ◽  
Atmospheric Particulate Matter ◽  
Exhaust Emission ◽  
Brake Wear ◽  
The Impact ◽  
Exhaust Particulate

This research quantifies current sources of non-exhaust particulate matter traffic emissions in London using simultaneous, highly time-resolved, atmospheric particulate matter mass and chemical composition measurements. The measurement campaign ran at Marylebone Road (roadside) and Honor Oak Park (background) urban monitoring sites over a 12-month period between 1 September 2019 and 31 August 2020. The measurement data were used to determine the traffic increment (roadside–background) and covered a range of meteorological conditions, seasons, and driving styles, as well as the influence of the COVID-19 “lockdown” on non-exhaust concentrations. Non-exhaust particulate matter (PM)10 concentrations were calculated using chemical tracer scaling factors for brake wear (barium), tyre wear (zinc), and resuspension (silicon) and as average vehicle fleet non-exhaust emission factors, using a CO2 “dilution approach”. The effect of lockdown, which saw a 32% reduction in traffic volume and a 15% increase in average speed on Marylebone Road, resulted in lower PM10 and PM2.5 traffic increments and brake wear concentrations but similar tyre and resuspension concentrations, confirming that factors that determine non-exhaust emissions are complex. Brake wear was found to be the highest average non-exhaust emission source. In addition, results indicate that non-exhaust emission factors were dependent upon speed and road surface wetness conditions. Further statistical analysis incorporating a wider variability in vehicle mix, speeds, and meteorological conditions, as well as advanced source apportionment of the PM measurement data, were undertaken to enhance our understanding of these important vehicle sources.

Chemical Profiling of Exhaust Particulate Matter from Indian In-Service Vehicles

2021 ◽  
Author(s):  
Moqtik Bawase ◽  
Yogesh Sathe ◽  
Suhail Mulla ◽  
Sukrut S Thipse
Keyword(s):  
Particulate Matter ◽  
Chemical Profiling ◽  
Service Vehicles ◽  
Exhaust Particulate
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