期刊
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
卷 109, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2022.103379
关键词
Automatic Dependent Surveillance-Broadcast (ADS-B); Aviation emissions; Bottom-up inventory; Flight trajectories; Geospatial emission inventory; Norway
资金
- FME NTRANS
Emissions from aviation have significant impacts on air pollution and climate change. The AviTEAM model is developed to estimate emissions from aviation activities. This study applies the model to analyze emissions from commercial aviation in Norway and demonstrates the generation of high-resolution geospatial emission datasets using flight data and emission models.
Emissions from aviation contribute increasingly to both air pollution and climate change. Understanding how these emissions are distributed across regions, seasons, and different altitudes is important to fully ascertain the climate impacts caused by our current aviation sector and set a clear benchmark for our mitigation efforts. The Aviation Transport Emission Assessment Model (AviTEAM) is developed for this purpose. The model estimates various emission species from aviation activities based on flight trajectories, airplane, engine types, and atmospheric conditions. In this paper, we present the AviTEAM framework and apply it to study the emissions from commercial aviation in Norway. We find emissions associated with Norwegian air transport for 2019 of 4.5 MtCO(2), 26.2 ktNO(x), 3.26 ktHC, and 1.8 ktCO. Furthermore, we exemplify how Automatic Dependent Surveillance-Broadcast data in combination with flight dynamic and emission models can be used to generate high-resolution geospatial emission datasets for research and national reporting purposes.
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