Xin Xu , Qian You , Zheng Zhang , Zimeng Zhao , Zhaotong Wang , Bidi Zhang , Xin Bo
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Here, this study explored pollution characteristics from temporal trends and spatial distribution perspectives based on a previously developed 2019–2020 high-resolution air pollution and CO<sub>2</sub> emission inventory of the landing and take-off (LTO) cycle of civil aviation airports in China and the ChinaHighAirPollutants (CHAP) dataset. Besides, this study established an empirical model to evaluate the relationship between the air pollutant emissions of China's civil aviation sector in 2019–2020 and the pollutant concentration from the CHAP dataset. Compared to those in 2019, the total NOx, CO, PM, and SO<sub>2</sub> emissions during the LTO phase in China's civil aviation sector in 2020 decreased by 14.29%–24.32%, and the average concentrations of NO<sub>2</sub>, CO, PM<sub>10</sub>, and SO<sub>2</sub> in 2020 decreased by 6.33%–9.45%. The eastern, central, and southern regions of China are characterized by high emissions of pollutants, a phenomenon closely related to the economic prosperity and tourism development in these areas. They tend to boast higher route densities, increasing air transport activity and consequently resulting in elevated emissions. In addition, NOx had the highest correlation coefficient in the empirical model, with a correlation coefficient of 0.603 in 2019. Our findings provide new insights into civil aviation emissions in China from the analysis of the emission inventory of air pollutants and the CHAP dataset and provide a new method for verifying the accuracy and completeness of China's civil aviation emission inventory.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100270"},"PeriodicalIF":3.8000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000376/pdfft?md5=1cd7d3e7fac18c6ede6fd077bd46eb9f&pid=1-s2.0-S2590162124000376-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Insights into civil aviation emissions in China: Analysis of an emission inventory of air pollutants and the ChinaHighAirPollutants (CHAP) dataset\",\"authors\":\"Xin Xu , Qian You , Zheng Zhang , Zimeng Zhao , Zhaotong Wang , Bidi Zhang , Xin Bo\",\"doi\":\"10.1016/j.aeaoa.2024.100270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The emissions from the civil aviation sector are a significant source of CO<sub>2</sub> and air pollutants, which represent a serious threat to ambient air quality and public health. To gain a deeper understanding of civil aviation airport emissions, it is imperative to develop a precise and comprehensive emission inventory of China's civil aviation airports. However, there are limited studies dedicated to analyzing and verifying the accuracy and completeness of China's civil aviation emission inventory. Here, this study explored pollution characteristics from temporal trends and spatial distribution perspectives based on a previously developed 2019–2020 high-resolution air pollution and CO<sub>2</sub> emission inventory of the landing and take-off (LTO) cycle of civil aviation airports in China and the ChinaHighAirPollutants (CHAP) dataset. Besides, this study established an empirical model to evaluate the relationship between the air pollutant emissions of China's civil aviation sector in 2019–2020 and the pollutant concentration from the CHAP dataset. Compared to those in 2019, the total NOx, CO, PM, and SO<sub>2</sub> emissions during the LTO phase in China's civil aviation sector in 2020 decreased by 14.29%–24.32%, and the average concentrations of NO<sub>2</sub>, CO, PM<sub>10</sub>, and SO<sub>2</sub> in 2020 decreased by 6.33%–9.45%. The eastern, central, and southern regions of China are characterized by high emissions of pollutants, a phenomenon closely related to the economic prosperity and tourism development in these areas. They tend to boast higher route densities, increasing air transport activity and consequently resulting in elevated emissions. In addition, NOx had the highest correlation coefficient in the empirical model, with a correlation coefficient of 0.603 in 2019. Our findings provide new insights into civil aviation emissions in China from the analysis of the emission inventory of air pollutants and the CHAP dataset and provide a new method for verifying the accuracy and completeness of China's civil aviation emission inventory.</p></div>\",\"PeriodicalId\":37150,\"journal\":{\"name\":\"Atmospheric Environment: X\",\"volume\":\"22 \",\"pages\":\"Article 100270\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590162124000376/pdfft?md5=1cd7d3e7fac18c6ede6fd077bd46eb9f&pid=1-s2.0-S2590162124000376-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Environment: X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590162124000376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590162124000376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
民航业是二氧化碳和空气污染物的重要排放源，对环境空气质量和公众健康构成严重威胁。为了更深入地了解民航机场的排放情况，当务之急是编制一份精确、全面的中国民航机场排放清单。然而，专门用于分析和验证中国民航排放清单准确性和完整性的研究十分有限。在此，本研究基于之前开发的 2019-2020 年中国民航机场起降（LTO）周期高分辨率空气污染和二氧化碳排放清单以及中国高空污染物（CHAP）数据集，从时间趋势和空间分布角度探讨了污染特征。此外，本研究还建立了一个实证模型来评估 2019-2020 年中国民航大气污染物排放与 CHAP 数据集污染物浓度之间的关系。与2019年相比，2020年中国民航LTO阶段氮氧化物、一氧化碳、可吸入颗粒物和二氧化硫排放总量下降了14.29%-24.32%，2020年氮氧化物、一氧化碳、可吸入颗粒物和二氧化硫平均浓度下降了6.33%-9.45%。中国东部、中部和南部地区的污染物排放量较高，这一现象与这些地区的经济繁荣和旅游业发展密切相关。这些地区的航线密度较高，增加了航空运输活动，从而导致排放量增加。此外，在实证模型中，氮氧化物的相关系数最高，2019 年的相关系数为 0.603。我们的研究结果通过对大气污染物排放清单的分析和 CHAP 数据集，为中国民航排放提供了新的见解，并为验证中国民航排放清单的准确性和完整性提供了新的方法。
Insights into civil aviation emissions in China: Analysis of an emission inventory of air pollutants and the ChinaHighAirPollutants (CHAP) dataset
The emissions from the civil aviation sector are a significant source of CO2 and air pollutants, which represent a serious threat to ambient air quality and public health. To gain a deeper understanding of civil aviation airport emissions, it is imperative to develop a precise and comprehensive emission inventory of China's civil aviation airports. However, there are limited studies dedicated to analyzing and verifying the accuracy and completeness of China's civil aviation emission inventory. Here, this study explored pollution characteristics from temporal trends and spatial distribution perspectives based on a previously developed 2019–2020 high-resolution air pollution and CO2 emission inventory of the landing and take-off (LTO) cycle of civil aviation airports in China and the ChinaHighAirPollutants (CHAP) dataset. Besides, this study established an empirical model to evaluate the relationship between the air pollutant emissions of China's civil aviation sector in 2019–2020 and the pollutant concentration from the CHAP dataset. Compared to those in 2019, the total NOx, CO, PM, and SO2 emissions during the LTO phase in China's civil aviation sector in 2020 decreased by 14.29%–24.32%, and the average concentrations of NO2, CO, PM10, and SO2 in 2020 decreased by 6.33%–9.45%. The eastern, central, and southern regions of China are characterized by high emissions of pollutants, a phenomenon closely related to the economic prosperity and tourism development in these areas. They tend to boast higher route densities, increasing air transport activity and consequently resulting in elevated emissions. In addition, NOx had the highest correlation coefficient in the empirical model, with a correlation coefficient of 0.603 in 2019. Our findings provide new insights into civil aviation emissions in China from the analysis of the emission inventory of air pollutants and the CHAP dataset and provide a new method for verifying the accuracy and completeness of China's civil aviation emission inventory.
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