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Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China.
Bao, Danwen; Tian, Shijia; Kang, Di; Zhang, Ziqian; Zhu, Ting.
  • Bao D; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangning District, No. 29, Jiangjun Avenue, Nanjing, 211106 Jiangsu Province China.
  • Tian S; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangning District, No. 29, Jiangjun Avenue, Nanjing, 211106 Jiangsu Province China.
  • Kang D; Department of Industrial and Systems Engineering, University of Minnesota, 2818 Como Avenue S.E, Minneapolis, MN 55414 USA.
  • Zhang Z; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangning District, No. 29, Jiangjun Avenue, Nanjing, 211106 Jiangsu Province China.
  • Zhu T; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangning District, No. 29, Jiangjun Avenue, Nanjing, 211106 Jiangsu Province China.
Air Qual Atmos Health ; 16(3): 641-659, 2023.
Article in English | MEDLINE | ID: covidwho-2251169
ABSTRACT
Aircraft engine emissions (AEEs) generated during landing and takeoff (LTO) cycles are important air pollutant sources that directly impact the air quality at airports. Although the COVID-19 pandemic triggered an unprecedented collapse in the civil aviation industry, it also relieved some environmental pressure on airports. To quantify the impact of COVID-19 on AEEs, the amounts of three typical air pollutants (i.e., HC, CO, and NOx) from LTO cycles at airports in central eastern China were estimated before and after the pandemic. The study also explored the temporal variation and the spatial autocorrelation of both the emission quantity and the emission intensity, as well as their spatial associations with other socioeconomic factors. The results illustrated that the spatiotemporal distribution pattern of AEEs was significantly influenced by the policies implemented and the severity of COVID-19. The variations of AEEs at airports with similar characteristics and functional positions generally followed similar patterns. The results also showed that the studied air pollutants present positive spatial autocorrelation, and a positive spatial dependence was found between the AEEs and other external socioeconomic factors. Based on the findings, some possible policy directions for building a more sustainable and environment-friendly airport group in the post-pandemic era were proposed. This study provides practical guidance on continuous monitoring of the AEEs from LTO cycles and studying the impact of COVID-19 on the airport environment for other regions or countries.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Air Qual Atmos Health Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Air Qual Atmos Health Year: 2023 Document Type: Article