Multi-year, high-time resolution aerosol chemical composition and mass measurements from Fairbanks, Alaska†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES Environmental science: atmospheres Pub Date : 2024-04-29 DOI:10.1039/D4EA00008K
Ellis S. Robinson, Michael Battaglia, Jr, James R. Campbell, Meeta Cesler-Maloney, William Simpson, Jingqiu Mao, Rodney J. Weber and Peter F. DeCarlo
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Abstract

Fairbanks-North Star Borough, Alaska (FNSB) regularly experiences some of the worst wintertime air quality in the United States. Exceedances of the EPA's 24 h fine particulate matter (PM2.5) rule are common, and can last for weeks-long periods. Here we present sub-hourly measurements of chemically-speciated aerosol measurements over a 25 month span from an Aerosol Chemical Speciation Monitor (ACSM). This dataset includes measurements from all four seasons and over three separate winters (2020, 2021, 2022). It spans a long enough duration to provide an overview of typical seasonal and diurnal variations in aerosol concentrations, composition, and sources in Fairbanks. We observe consistent high PM2.5 concentrations in wintertime, which is dominated by organic aerosol (OA) and, to a lesser extent, sulfate (SO4). We perform factor analysis of the OA using Positive Matrix Factorization (PMF), which reveals three factors, two of which are attributable to primary sources. These primary OA factors are highest in concentration and fractional contribution during wintertime. We show that high concentration periods are correlated with cold temperatures, and enriched in those organic aerosol components related to primary emissions. High concentration periods are also enriched in SO4, though we show that some of the “SO4” measured by the ACSM is very likely organosulfur compounds, which are more prevalent at high concentrations. We also show that within winter, there are significantly different diurnal patterns in PM components depending on meteorological parameters. This analysis is important for understanding air quality patterns in Fairbanks, and as context for the 2022 ALPACA measurement campaign.

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阿拉斯加费尔班克斯的多年高时间分辨率气溶胶化学成分和质量测量结果†。
阿拉斯加州费尔班克斯-北星区(FNSB)的冬季空气质量经常是美国最差的。超过美国环保署规定的 24 小时细颗粒物(PM2.5)标准的情况很常见,而且可能持续数周之久。在此,我们介绍了气溶胶化学特性监测仪(ACSM)在 25 个月的时间跨度内对化学特性气溶胶测量数据进行的亚小时测量。该数据集包括所有四季和三个冬季(2020 年、2021 年和 2022 年)的测量数据。它的时间跨度足够长,可以概述费尔班克斯气溶胶浓度、成分和来源的典型季节和昼夜变化。我们观察到冬季 PM2.5 浓度持续较高,其中主要是有机气溶胶(OA),其次是硫酸盐(SO4)。我们使用正矩阵因式分解(PMF)对有机气溶胶进行了因子分析,结果显示有三个因子,其中两个可归因于主要来源。这些原生 OA 因子在冬季的浓度和贡献率最高。我们发现,高浓度时段与低温相关,并富含与原生排放相关的有机气溶胶成分。高浓度时段也富含二氧化硫,不过我们表明,ACSM 测量到的一些 "二氧化硫 "很可能是有机硫化合物,它们在高浓度时段更为普遍。我们还表明,在冬季,根据气象参数的不同,可吸入颗粒物成分的昼夜模式也明显不同。这一分析对于了解费尔班克斯的空气质量模式以及 2022 年 ALPACA 测量活动的背景非常重要。
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