The “13th Five-Year Plan” of civil aviation energy conservation and emission reduction impacts China’s domestic aviation exchanges. However, few researchers pay attrition to the impact of the 13th Five-Year Plan on aviation emissions. This paper intends to calculate the emissions of six pollutants (CO2, CO, HC, NOx, PM2.5, and SO2) in China’s domestic airlines from 2014 to 2019 and explore the impact of the 13th Five-Year Plan on emissions changes. In this paper, the improved BFFM2-FOA-FPM method is used to unify the calculation of CO2 and other aviation emissions. The error rate between the estimate and the official data was about 6.45%. The results show that the 13th Five-Year Plan has impacted on aviation emissions, including the number of routes and airlines, aircraft configuration, air routes, and airline unit turnover emissions. Additionally, the 13th Five-Year Plan’s effect is not significant, and it does not promote the reduction of emissions on domestic routes.
Abstract. Aviation emission accounting is the key to establishing
market measures to control aviation pollutant emissions. Based on the fuel
percentage method (FPM), this paper applies the improved BFFM2-FOA-FPM (Boeing Fuel Flow Method 2–First Order Approximation FPM) to calculate the emissions of six pollutants (CO2, CO, HC, NOx,
SO2, and PM2.5) between Chinese and foreign cities from 2014 to 2019,
including CCD (climbing, cruising, and descending) emissions and LTO (landing and
take-off) emissions. The error rate between the calculated results and the
official data is about 2.75 %. The results show that the emissions of six
pollutants changed before and after the proposal of the “Carbon Neutral
Growth 2020” strategy (CNG2020 strategy). Although the total amount has
increased, the average emission per tonne-kilometer of CO2, CO, HC, NOx, SO2,
and PM2.5 has decreased by 17.77 %, 17.26 %, 25.15 %, 14.32 %,
17.77 %, and 16.35 %, respectively. The results of this paper can
provide a data basis and method reference for implementing the CNG2020
strategy and realizing global carbon emission reduction goals. The dataset
is available from https://doi.org/10.6084/m9.figshare.20071751.v1 (Cui.,
2022).
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