Literature DB >> 21090549

Updating the conceptual model for fine particle mass emissions from combustion systems.

Allen L Robinson1, Andrew P Grieshop, Neil M Donahue, Sherri W Hunt.   

Abstract

Atmospheric transformations determine the contribution of emissions from combustion systems to fine particulate matter (PM) mass. For example, combustion systems emit vapors that condense onto existing particles or form new particles as the emissions are cooled and diluted. Upon entering the atmosphere, emissions are exposed to atmospheric oxidants and sunlight, which causes them to evolve chemically and physically, generating secondary PM. This review discusses these transformations, focusing on organic PM. Organic PM emissions are semi-volatile at atmospheric conditions and thus their partitioning varies continuously with changing temperature and concentration. Because organics contribute a large portion of the PM mass emitted by most combustion sources, these emissions cannot be represented using a traditional, static emission factor. Instead, knowledge of the volatility distribution of emissions is required to explicitly account for changes in gas-particle partitioning. This requires updating how PM emissions from combustion systems are measured and simulated from combustion systems. Secondary PM production often greatly exceeds the direct or primary PM emissions; therefore, secondary PM must be included in any assessment of the contribution of combustion systems to ambient PM concentrations. Low-volatility organic vapors emitted by combustion systems appear to be very important secondary PM precursors that are poorly accounted for in inventories and models. The review concludes by discussing the implications that the dynamic nature of these PM emissions have on source testing for emission inventory development and regulatory purposes. This discussion highlights important linkages between primary and secondary PM, which could lead to simplified certification test procedures while capturing the emission components that contribute most to atmospheric PM mass.

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Year:  2010        PMID: 21090549     DOI: 10.3155/1047-3289.60.10.1204

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  7 in total

1.  Aging of biogenic secondary organic aerosol via gas-phase OH radical reactions.

Authors:  Neil M Donahue; Kaytlin M Henry; Thomas F Mentel; Astrid Kiendler-Scharr; Christian Spindler; Birger Bohn; Theo Brauers; Hans P Dorn; Hendrik Fuchs; Ralf Tillmann; Andreas Wahner; Harald Saathoff; Karl-Heinz Naumann; Ottmar Möhler; Thomas Leisner; Lars Müller; Marc-Christopher Reinnig; Thorsten Hoffmann; Kent Salo; Mattias Hallquist; Mia Frosch; Merete Bilde; Torsten Tritscher; Peter Barmet; Arnaud P Praplan; Peter F DeCarlo; Josef Dommen; Andre S H Prévôt; Urs Baltensperger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-06       Impact factor: 11.205

Review 2.  Aircraft engine exhaust emissions and other airport-related contributions to ambient air pollution: A review.

Authors:  Mauro Masiol; Roy M Harrison
Journal:  Atmos Environ (1994)       Date:  2014-05-28       Impact factor: 4.798

3.  Semi-volatile components of PM2.5 in an urban environment: volatility profiles and associated oxidative potential.

Authors:  Milad Pirhadi; Amirhosein Mousavi; Sina Taghvaee; Martin M Shafer; Constantinos Sioutas
Journal:  Atmos Environ (1994)       Date:  2019-12-02       Impact factor: 4.798

4.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

5.  Conditions Leading to Elevated PM2.5 at Near-Road Monitoring Sites: Case Studies in Denver and Indianapolis.

Authors:  Steven G Brown; Bryan Penfold; Anondo Mukherjee; Karin Landsberg; Douglas S Eisinger
Journal:  Int J Environ Res Public Health       Date:  2019-05-10       Impact factor: 3.390

6.  Trends in Exposure to Diesel Particulate Matter and Prevalence of Respiratory Symptoms in Western Australian Miners.

Authors:  Krassi Rumchev; Dong Van Hoang; Andy Lee
Journal:  Int J Environ Res Public Health       Date:  2020-11-14       Impact factor: 3.390

7.  Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10.

Authors:  Héctor Jorquera; Ana María Villalobos
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  7 in total

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