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

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 The discrepancy between actual versus modeled PM emissions is generally attributed to inadequate emissions data and outdated assumptions in the PART5 model.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).

Spark Ignition Motor Vehicle Exhaust Particulate Matter Characterization

2000 ◽  
Vol 6 (S2) ◽  
pp. 72-73
Author(s):  
Douglas A. Blom ◽  
Ted A. Nolan
Keyword(s):  
Electron Microscopy ◽  
Particulate Matter ◽  
Health Effects ◽  
Motor Vehicle ◽  
Front Range ◽  
Vehicle Exhaust ◽  
Ongoing Research ◽  
Southwest Research Institute ◽  
Transmission Electron ◽  
Vital Interest

The Northern Front Range Air Quality Study concluded that for the Denver metropolitan area during 1996 and 1997, 55% of particles with an aerodynamic diameter 50% cutpoint of 2.5 μm (PM2.5) were attributable to motor vehicle exhaust particulates. The health effects of PM2.5 are currently unknown, but are under investigation. It is of vital interest to understand the chemistry, morphology, size distribution and microstructure of motor vehicle exhaust. The techniques of transmission electron microscopy (TEM) and energy dispersive X-ray spectroscopy (EDS) appear to be well suited for the analysis of the microstructure, morphology and microchemical composition of particulate matter. Previous electron microscopy observations of particulate matter from a variety of sources have found that the chemical composition and crystal structure are characteristics of the source of the particles.As part of an ongoing research project into the health effects of motor vehicle particulate matter, Southwest Research Institute (SWRI) is performing chassis dynamometer tests of a variety of vehicles and collecting samples from the exhaust stream for analysis.

How Well Can mPEMS Measure Particulate Matter Motor Vehicle Exhaust Emissions?

2020 ◽  
Author(s):  
Diep Vu ◽  
Joseph Szente ◽  
Michael Loos ◽  
Matti Maricq
Keyword(s):  
Particulate Matter ◽  
Motor Vehicle ◽  
Exhaust Emissions ◽  
Vehicle Exhaust

scholarly journals Experimental Study on the Chemical Characterization of Atmospheric Aerosols in Wuhan, China

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1393
Author(s):  
Qianjun Mao ◽  
Fangyuan Cheng ◽  
Min Chen
Keyword(s):  
Particulate Matter ◽  
Solar Energy ◽  
Motor Vehicle ◽  
Sampling Period ◽  
Atmospheric Particulate Matter ◽  
Energy Utilization ◽  
Atmospheric Environment ◽  
Exhaust Emission ◽  
Vehicle Exhaust ◽  
Atmospheric Particulate

Air pollution has a significant impact on the use of solar energy. On the one hand, the polluted environment directly reduces the intensity of solar radiation, on the other hand, pollution of the environment will also reduce the life of the equipment. Therefore, mastering the dynamic characteristics of the atmospheric environment has certain guiding significance for the efficient utilization of solar energy. In this study, the concentrations of particulate matter, CO, SO2 and NO2 from Tianyun big data website are analyzed to obtain the general characteristics of particulate pollution in Wuhan. At the same time, a long-period sampling atmospheric particulate matter sampler in the Huangjiahu area of Wuhan has been used, and experimental analysis of the physical and chemical characteristics of the samples has been obtained. The results show that both PM2.5 and PM10 show obvious seasonal changes, and the concentration of the four anions during the sampling period is SO42− > NO3− > Cl− > F−. During the sampling period, atmospheric particulate matter is mainly composed of organic matter, inorganic anions and oxides of more than 20 elements. The results of the enrichment factor analysis show that elements such as Br, Pb, Sb and Zn are the main enriched elements during the sampling period. The enrichment factors of these elements are 246.43 ± 168.81, 133.28 ± 115.03, 403.305 ± 396.18 and 90.67 ± 67.01, respectively. The high enrichment of these elements also reflects the contribution of motor vehicle exhaust emission during the sampling period. Traffic source is the main emission source in the Huangjiahu area of Wuhan. This research has a certain guiding significance for many industries such as energy utilization, environmental monitoring, health care, transportation and so on.

Effect of Ambient Temperature and E-10 Fuel on Primary Exhaust Particulate Matter Emissions from Light-Duty Vehicles

1997 ◽  
Vol 31 (5) ◽  
pp. 1302-1307 ◽  
Author(s):  
Patricia A. Mulawa ◽  
Steven H. Cadle ◽  
Kenneth Knapp ◽  
Roy Zweidinger ◽  
Richard Snow ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Ambient Temperature ◽  
Light Duty ◽  
Particulate Matter Emissions ◽  
Light Duty Vehicles ◽  
Exhaust Particulate
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