Modelling Airport Pollutants Dispersion at High Resolution†
ONERA, The French Aerospace Lab, 31055 Toulouse, France
Centre National de Recherches Météorologiques (CNRM, UMR 3589), Météo France/CNRS, 31057 Toulouse, France
This paper is an extended version of our paper published in Making Aviation Environmentally Sustainable, Selected Proceedings of the 2nd ECATS Conference, 2016
Author to whom correspondence should be addressed.
Received: 11 April 2017 / Revised: 18 August 2017 / Accepted: 18 August 2017 / Published: 25 August 2017
Local air quality is a major concern for the population regularly exposed to high levels of air pollution. Due mainly to its aircraft engine activities during taxiing and take-off, the airport is often submitted to heterogeneous but important concentrations of NO
and Particulate Matter (PM). The study suggests an innovative approach to determining the air traffic impact on air quality at the scale of the airport, its runways, and its terminals, to be able to locate the persistent high-concentration spots, for example. The pollutant concentrations at 10 m resolution and 1 s time step are calculated in order to identify the most affected areas of an airport platform and their contributors. A real day of air traffic on a regional airport is simulated, using observations and aircraft trajectories data from radar streams. In order to estimate the aircraft emissions, the Air Transport Systems Evaluation Infrastructure (IESTA) is used. Regarding local air quality, IESTA relies on the non-hydrostatic meso-scale atmospheric model Meso-NH using its grid-nesting capabilities with three domains. The detailed cartography of the airport distinguishes between grassland, parking, and terminals, allowing the computation of exchanges of heat, water, and momentum between the different types of surfaces and the atmosphere as well as the interactions with the building using a drag force. The dynamic parameters like wind, temperature, turbulent kinetic energy, and pollutants concentration are computed at 10 m resolution over the 2 km × 4 km airport domain. The pollutants are considered in this preliminary study as passive tracers, without chemical reactions. This study aims at proving the feasibility of high-scale modelling over an airport with state-of-the-art physical models in order to better understand the repartition of pollutants over an airport, taking into account advection and turbulence in interactions with buildings and regional trends, emissions, Auxiliary Power Units (APU), taxiing, parking, take off. All these processes drive the model at each time step and are not averaged over one hour or more like in Gaussian or Lagrangian ones. This study is investigating the feasibility of high spatio-temporal air quality modelling for research purposes but not for operational forecasting.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Scifeed alert for new publications
Never miss any articles
matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
Define your Scifeed now
Share & Cite This Article
MDPI and ACS Style
Sarrat, C.; Aubry, S.; Chaboud, T.; Lac, C. Modelling Airport Pollutants Dispersion at High Resolution. Aerospace 2017, 4, 46.
Sarrat C, Aubry S, Chaboud T, Lac C. Modelling Airport Pollutants Dispersion at High Resolution. Aerospace. 2017; 4(3):46.
Sarrat, Claire; Aubry, Sébastien; Chaboud, Thomas; Lac, Christine. 2017. "Modelling Airport Pollutants Dispersion at High Resolution." Aerospace 4, no. 3: 46.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.