Paper Info
Title
Detection of Aircraft Emissions Using Long-Path Differential Optical Absorption Spectroscopy at Hefei Xinqiao International Airport
Abstract
Airport emissions have received increased attention because of their impact on atmospheric chemical processes, the microphysical properties of aerosols, and human health. At present, the assessment methods for airport pollution emission mainly involve the use of the aircraft emission database established by the International Civil Aviation Organization, but the emission behavior of an engine installed on an aircraft may differ from that of an engine operated in a testbed. In this study, we describe the development of a long-path differential optical absorption spectroscopy (LP-DOAS) instrument for measuring aircraft emissions at an airport. From 15 October to 23 October 2019, a measurement campaign using the LP-DOAS instrument was conducted at Hefei Xinqiao International Airport to investigate the regional concentrations of various trace gases in the airport's northern area and the variation characteristics of the gas concentrations during an aircraft's taxiing and take-off phases. The measured light path of the LP-DOAS passed through the aircraft taxiway and the take-off runway concurrently. The aircraft's take-off produced the maximum peak in NO2 average concentrations of approximately 25 ppbV and SO2 average concentrations of approximately 8 ppbV in measured area. Owing to the airport's open space, the pollution concentrations decreased rapidly, the overall levels of NO2 and SO2 concentrations in the airport area were very low, and the maximum hourly average NO2 and SO2 concentrations during the observation period were better than the Class 1 ambient air quality standards in China. Additionally, we discovered that the NO2 and SO2 emissions from the Boeing 737-800 aircraft monitored in this experiment were weakly and positively related to the age of the aircraft. This measurement established the security, feasibility, fast and non-contact of the developed LP-DOAS instrument for monitoring airport regional concentrations as well as NO2 and SO2 aircraft emissions during routine airport operations without interfering with the normal operation of the airport.
Year
DOI
Venue
2022
10.3390/rs14163927
REMOTE SENSING
Keywords
DocType
Volume
LP-DOAS, aircraft emissions, remote sensing, NO2, SO2
Journal
14
Issue
ISSN
Citations 
16
2072-4292
0
PageRank 
References 
Authors
0.34
0
13
Name
Order
Citations
PageRank
Jun Duan100.34
Min Qin200.34
Wu Fang300.34
Zhitang Liao400.34
Huaqiao Gui500.34
Zheng Shi600.34
Haining Yang700.34
Fanhao Meng800.34
Dou Shao900.34
Jiaqi Hu1000.34
Baobin Han1100.34
Pinhua Xie1212.51
Liu Wen-qing1312.51