Influence of Engine Operating Conditions on Diesel Particulate Matter Emissions in Relation to Transient and Steady-State Conditions

2007 ◽  
Vol 41 (13) ◽  
pp. 4593-4599 ◽  
Author(s):  
Z. Gerald Liu ◽  
Denise C. Ford ◽  
Victoria N. Vasys ◽  
Da-Ren Chen ◽  
Timothy R. Johnson
Keyword(s):  
Particulate Matter ◽  
Steady State ◽  
Operating Conditions ◽  
Diesel Particulate Matter ◽  
Diesel Particulate ◽  
Particulate Matter Emissions ◽  
Transient And Steady State

Effect of Nano-Filtered Intake Air on Diesel Particulate Matter Emissions

2004 ◽  
Author(s):  
Z. Gerald Liu ◽  
Edward M. Thurow ◽  
Byron A. Pardue ◽  
Thomas J. Wosikowski
Keyword(s):  
Particulate Matter ◽  
Diesel Particulate Matter ◽  
Diesel Particulate ◽  
Particulate Matter Emissions

Reactivity of Standard Diesel Particulate Matter with NO2 under Different Operating Conditions

2019 ◽  
Vol 33 (11) ◽  
pp. 11932-11940
Author(s):  
María Abián ◽  
Ricardo Pernía ◽  
Ángela Millera ◽  
Rafael Bilbao ◽  
María U. Alzueta
Keyword(s):  
Particulate Matter ◽  
Operating Conditions ◽  
Diesel Particulate Matter ◽  
Diesel Particulate

Predicting areas of high diesel particulate matter emissions in Phoenix, Arizona, using spatial analysis techniquesA paper submitted to the Journal of Environmental Engineering and Science.

2010 ◽  
Vol 37 (2) ◽  
pp. 354-365
Author(s):  
Bryan M. Penfold ◽  
Hilary R. Hafner ◽  
Steven G. Brown
Keyword(s):  
Information System ◽  
Particulate Matter ◽  
Diesel Exhaust ◽  
Inhalation Exposure ◽  
Environmental Engineering ◽  
Diesel Particulate Matter ◽  
Activity Data ◽  
Diesel Particulate ◽  
Gis Model ◽  
Particulate Matter Emissions

Growing evidence suggests that inhalation exposure to diesel exhaust, including diesel particulate matter (DPM), causes acute and chronic health effects. As a result, interest in monitoring diesel exhaust has increased. Maps of emissions sources, emissions activity data, and meteorology were combined within a geographic information system (GIS) suitability model to produce a composite map identifying areas where DPM emissions are likely to be high. The results of the GIS model were compared with (i) the locations of existing monitoring sites in Phoenix, Arizona, and (ii) the spatial distribution of population. The results indicate that two existing sites are located in areas where DPM emissions are predicted to be high; however, incorporating meteorology as a factor showed that one site is located upwind of a predicted high DPM area. Consideration of population density showed high density in two areas that appear to be moderately influenced by DPM.

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