基于国际民航组织(ICAO)标准排放模型,结合中国民用航空局统计数据,构建了最新的2023~2024年中国大陆民用航空机场起降循环(LTO)阶段的大气污染物及碳融合排放清单,并利用CHAP数据集验证排放清单准确性.结果表明:2023年中国民航机场LTO循环NOx、CO、HC、SO2、PM和CO2排放量分别为12.77×104, 10.10×104, 0.84×104, 0.37×104, 0.10×104, 1767.39×104t, 2024年中国民航机场LTO循环NOx、CO、HC、SO2、PM和CO2排放量分别为13.53×104, 10.70×104, 0.89×104, 0.39×104, 0.10×104, 1871.89×104t, 2024年LTO阶段总排放量较2023年增长了5.91%.2023、2024年排放时空特征显示,东部经济发达地区(如北京、上海、广州)因航班密集,CO2排放量占全国26%以上,而西部地区受限于支线机场数量,排放量较低.经验模型表明NOx排放与CHAP浓度数据相关性较强(r=0.50),验证了清单可靠性.
Abstract
Based on the International Civil Aviation Organization (ICAO) standard emission model, combined with statistical data from the Civil Aviation Administration of China (CAAC), an updated 2023~2024 air pollutant and carbon fusion emission inventory for the landing and take-off (LTO) cycles of civil aviation airports in mainland China was constructed, and the accuracy of the emission inventory was verified using the CHAP dataset. The results showed that in 2023, NOx, CO, HC, SO2, PM, and CO2 emissions from LTO cycles at Chinese civil aviation airports were 1.277×105, 1.010×105, 0.084×105, 0.037×105, 0.010×105, and 176.739×105t, respectively. In 2024, the corresponding emissions were 1.353×105, 1.070×105, 0.089×105, 0.039×105, 0.010×105, and 187.189×105t, with a total LTO phase emission increase of 5.91% compared to 2023. The spatial and temporal characteristics of emissions in 2023 and 2024 indicated that economically developed eastern regions (such as Beijing, Shanghai, and Guangzhou) had CO2 emissions accounting for more than 26% of the national total due to dense flight operations, whereas emissions were lower in western regions due to the limited number of regional airports. Empirical models showed a strong correlation between NOx emissions and CHAP concentration data (r=0.50), validating the reliability of the inventory.
关键词
民用航空机场 /
二氧化碳 /
融合排放清单 /
起降循环
Key words
civil aviation airports /
carbon dioxide /
integrated emission inventory /
landing and take-off (LTO) cycles
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基金
国家自然科学基金资助项目(72174125)
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