Abstract
Aviation is a unique anthropogenic source with 4-dimensional varying emissions, emitting 90 % of their emissions in upper troposphere at cruise altitudes (9–12 km). Aircraft emissions budgets in upper troposphere lower stratosphere (UTLS) region and their potential impacts on upper troposphere and surface air quality are not well understood. The key objective of this study is to characterize the aircraft emissions during full-flight activity in regional and hemispheric modeling scales, and assess their impacts on upper tropospheric chemistry and surface air quality. Using detailed spatio-temporal characterization of aircraft emissions along with other background emissions in the modeling domains, we studied incremental impacts of aircraft emissions focusing mainly on O3, NOx and PM2.5 species. Comparison of modeling results with aircraft measurements showed improvement of model performance due to enhanced modeling platform and consideration of cruise altitude aviation emissions in the upper troposphere.
Keywords
- Weather Research Forecast
- Hemispheric Scale
- Aircraft Emission
- Intercontinental Transport
- Polar Stereographic Projection
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Acknowledgments
The emissions inventories used for this work were provided by U.S. DOT Volpe Center and are based on data provided by the U.S. FAA and EUROCONTROL in support of the objectives of the International Civil Aviation Organization Committee on Aviation Environmental Projection CO2 Task Group. Any opinions, finding, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. DOT, Volpe Center, the U.S., FAA, EUROCONTROL or ICAO.
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© 2014 Springer International Publishing Switzerland
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Vennam, L.P. et al. (2014). A Multiscale Modeling Study to Assess Impacts of Full-Flight Aircraft Emissions on Upper Troposphere and Surface Air Quality. In: Steyn, D., Mathur, R. (eds) Air Pollution Modeling and its Application XXIII. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-04379-1_32
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DOI: https://doi.org/10.1007/978-3-319-04379-1_32
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