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主要国际机场活动和其他城市源对附近监测点颗粒数浓度(PNCs)的相对贡献。

Relative contributions of a major international airport activities and other urban sources to the particle number concentrations (PNCs) at a nearby monitoring site.

机构信息

University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.

National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.

出版信息

Environ Pollut. 2020 May;260:114027. doi: 10.1016/j.envpol.2020.114027. Epub 2020 Jan 25.

Abstract

In this study, the positive matrix factorization (PMF) source apportionment model was employed to quantify the contributions of airport activities to particle number concentrations (PNCs) at Amsterdam Schiphol. Time-resolved particle number size distributions in parallel with the concentrations of auxiliary variables, including gaseous pollutants (NO and CO), black carbon, PM mass, and number of arrivals/departures were measured for 32 sampling days over a 6-month period near Schiphol airport to be used in the model. PMF results revealed that airport activities, cumulatively, accounted for around 79.3% of PNCs and our model segregated them into three major groups: (i) aircraft departures, (ii) aircraft arrivals, and (iii) ground service equipment (GSE) (with some contributions of local road traffic, mostly from airport parking lots). Aircraft departures and aircraft arrivals showed mode diameters <20 nm and contributed, respectively, to 46.1% and 26.7% of PNCs. The factor GSE/local road traffic, with a mode diameter of around 60-80 nm, accounted for 6.5% of the PNCs. Road traffic related mainly to the surrounding freeways was characterized with a mode diameter of 30-40 nm; this factor contributed to 18.0% of PNCs although its absolute PNCs was comparable with that of areas heavily impacted by traffic emissions. Lastly, urban background with a mode diameter at 150-225 nm, had a minimal contribution (2.7%) to PNCs while dominating the particle volume/mass concentrations with a contribution of 58.2%. These findings illustrate the dominant role of the airport activities in ambient PNCs in the surrounding areas. More importantly, the quantification of the contributions of different airport activities to PNCs is a useful tool to better control and limit the increased PNCs near the airports that could adversely impact the health of the adjacent urban communities.

摘要

在这项研究中,采用正矩阵因子分解(PMF)源分配模型来量化机场活动对阿姆斯特丹史基浦机场附近粒子数浓度(PNC)的贡献。在史基浦机场附近进行了为期 6 个月的 32 天采样,测量了与辅助变量(包括气态污染物(NO 和 CO)、黑碳、PM 质量和到达/离开的航班数量)同时的时间分辨粒子数尺寸分布,并将其用于模型中。PMF 结果表明,机场活动累计占 PNC 的约 79.3%,我们的模型将它们分为三组:(i)飞机起飞,(ii)飞机降落,和(iii)地面服务设备(GSE)(有一些当地道路交通的贡献,主要来自机场停车场)。飞机起飞和飞机降落的模式直径<20nm,分别贡献了 46.1%和 26.7%的 PNC。GSE/当地道路交通因子,模式直径约为 60-80nm,占 PNC 的 6.5%。与周围高速公路有关的道路交通主要以模式直径为 30-40nm 为特征;尽管其绝对 PNC 与受交通排放影响严重的区域相当,但该因子对 PNC 的贡献为 18.0%。直径在 150-225nm 之间的城市背景,对 PNC 的贡献最小(2.7%),但对粒子体积/质量浓度的贡献最大(58.2%)。这些发现说明了机场活动在周围地区环境 PNC 中的主导作用。更重要的是,量化不同机场活动对 PNC 的贡献是控制和限制机场附近增加的 PNC 的有用工具,这可能对附近城市社区的健康产生不利影响。

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