e-space
Manchester Metropolitan University's Research Repository

    Review: particulate matter emissions from aircraft

    Owen, Bethan ORCID logoORCID: https://orcid.org/0000-0002-6302-7513, Anet, Julien G, Bertier, Nicolas, Christie, Simon ORCID logoORCID: https://orcid.org/0000-0003-2631-5425, Cremaschi, Michele, Dellaert, Stijn, Edebeli, Jacinta, Janicke, Ulf, Kuenen, Jeroen, Lim, Ling ORCID logoORCID: https://orcid.org/0000-0002-6435-9683 and Terrenoire, Etienne (2022) Review: particulate matter emissions from aircraft. Atmosphere, 13 (8). p. 1230. ISSN 2073-4433

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (343kB) | Preview

    Abstract

    The contribution of aircraft operations to ambient ultrafine particle (UFP) concentration at and around airports can be significant. This review article considers the volatile and non-volatile elements of particulate matter emissions from aircraft engines, their characteristics and quantification and identifies gaps in knowledge. The current state of the art emission inventory methods and dispersion modelling approaches are reviewed and areas for improvement and research needs are identified. Quantification of engine non-volatile particulate matter (nvPM) is improving as measured certification data for the landing and take-off cycle are becoming available. Further work is needed: to better estimate nvPM emissions during the full-flight; to estimate non-regulated (smaller) engines; and to better estimate the emissions and evolution of volatile particles (vPM) in the aircraft exhaust plume. Dispersion modelling improvements are also needed to better address vPM. As the emissions inventory data for both vPM and nvPM from aircraft sources improve, better estimates of the contribution of aircraft engine emissions to ambient particulate concentrations will be possible.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    231Downloads
    6 month trend
    76Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record