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Take-off engine particle emission indices for in-service aircraft at Los Angeles International Airport

We present ground-based, advected aircraft engine emissions from flights taking off at Los Angeles International Airport. 275 discrete engine take-off plumes were observed on 18 and 25 May 2014 at a distance of 400 m downwind of the runway. CO(2) measurements are used to convert the aerosol data int...

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Detalles Bibliográficos
Autores principales: Moore, Richard H., Shook, Michael A., Ziemba, Luke D., DiGangi, Joshua P., Winstead, Edward L., Rauch, Bastian, Jurkat, Tina, Thornhill, Kenneth L., Crosbie, Ewan C., Robinson, Claire, Shingler, Taylor J., Anderson, Bruce E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744856/
https://www.ncbi.nlm.nih.gov/pubmed/29257135
http://dx.doi.org/10.1038/sdata.2017.198
Descripción
Sumario:We present ground-based, advected aircraft engine emissions from flights taking off at Los Angeles International Airport. 275 discrete engine take-off plumes were observed on 18 and 25 May 2014 at a distance of 400 m downwind of the runway. CO(2) measurements are used to convert the aerosol data into plume-average emissions indices that are suitable for modelling aircraft emissions. Total and non-volatile particle number EIs are of order 10(16)–10(17) kg(−1) and 10(14)–10(16) kg(−1), respectively. Black-carbon-equivalent particle mass EIs vary between 175–941 mg kg(−1) (except for the GE GEnx engines at 46 mg kg(−1)). Aircraft tail numbers recorded for each take-off event are used to incorporate aircraft- and engine-specific parameters into the data set. Data acquisition and processing follow standard methods for quality assurance. A unique aspect of the data set is the mapping of aerosol concentration time series to integrated plume EIs, aircraft and engine specifications, and manufacturer-reported engine emissions certifications. The integrated data enable future studies seeking to understand and model aircraft emissions and their impact on air quality.