关键词: Air quality Airport Emission Generalized additive model Source attribution

Mesh : Air Pollutants / analysis Air Pollution / analysis Airports China Environmental Monitoring Particulate Matter / analysis Vehicle Emissions / analysis

来  源:   DOI:10.1016/j.scitotenv.2022.154519

Abstract:
Large airport operation release harmful air pollutants and have adverse impact on local air quality. As one of the world\'s top 30 busiest airports, Xinzheng International Airport (CGO) located in Zhengzhou City, China, its emission impacts needs particular attention. To identify the possible impacts and quantify the contribution of CGO airport to air pollution, a comprehensive approach including emission inventory, continuous monitoring, coupled with statistical modelling was adopted in this study. We estimated a more detailed emissions inventory for CGO, including hourly and annual emissions from engines and auxiliary power units of aircrafts during landing and take-off flight, and airside ground support equipment (GSE) in 2019. The results indicate that almost all the CGO specific parameters including operating hours, fuel consumption and unit LTO emissions at different modes were lower than ICAO reference values. The annual total emissions of NOx, CO, HC, SO2 and PM from CGO from aircrafts and GSE were 1207.7, 921.3, 123.7, 268.3 and 36.2 tons, respectively. In addition to SO2, the main engines of the aircraft accounted for 80.3%, 62.6%, 45.5% and 74.3% of the total emissions, respectively. Meanwhile, a continuous monitoring campaign was conducted for one year in the vicinity of CGO airport. The monitoring data were analyzed using generalized additive model (GAM) to quantify the impact of NOx emissions from airport activities on air quality at CGO. The results showed that even the influence of environmental and meteorological variables was greater, nearly 13% of the ambient NOx concentrations were explained by emissions from airport activities, indicating the importance of airport-related emissions as the major source affecting local air quality.
摘要:
大型机场运行释放有害空气污染物,对当地空气质量产生不利影响。作为世界前30个最繁忙的机场之一,新郑国际机场(CGO)位于郑州市,中国,其排放影响需要特别关注。为了确定可能的影响并量化CGO机场对空气污染的贡献,包括排放清单在内的全面方法,连续监测,本研究采用了统计模型。我们估计了CGO更详细的排放清单,包括飞机在着陆和起飞飞行期间发动机和辅助动力装置的每小时和每年排放量,和2019年空侧地面支持设备(GSE)。结果表明,几乎所有的CGO具体参数,包括运行时间,不同模式下的燃料消耗和单位LTO排放量均低于ICAO参考值。年NOx排放总量,CO,HC,来自飞机和GSE的CGO的SO2和PM分别为1207.7、921.3、123.7、268.3和36.2吨,分别。除SO2外,该机的主机占80.3%,62.6%,占总排放量的45.5%和74.3%,分别。同时,在CGO机场附近进行了为期一年的持续监测活动。使用广义相加模型(GAM)对监测数据进行了分析,以量化机场活动中NOx排放对CGO空气质量的影响。结果表明,即使环境和气象变量的影响更大,近13%的环境氮氧化物浓度是由机场活动的排放解释的,指出机场相关排放是影响当地空气质量的主要来源的重要性。
公众号