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An aircraft gas chromatograph–mass spectrometer System for Organic Fast Identification Analysis (SOFIA): design, performance and a case study of Asian monsoon pollution outflow

机译:用于有机快速识别分析(SOFIA)的飞机气相色谱-质谱仪系统:亚洲季风污染流出的设计,性能和案例研究

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摘要

Volatile organic compounds (VOCs) are important for global airquality and oxidation processes in the troposphere. In addition toground-based measurements, the chemical evolution of such species duringtransport can be studied by performing in situ airborne measurements.Generally, aircraft instrumentation needs to be sensitive, robust and sampleat higher frequency than ground-based systems while their construction mustcomply with rigorous mechanical and electrical safety standards. Here, wepresent a new System for Organic Fast Identification Analysis (SOFIA), whichis a custom-built fast gas chromatography–mass spectrometry (GC-MS) systemwith a time resolution of 2–3 min and the ability to quantify atmosphericmixing ratios of halocarbons (e.g. chloromethanes), hydrocarbons (e.gisoprene), oxygenated VOCs (acetone, propanal, butanone) and aromatics (e.g. benzene,toluene) from sub-ppt to ppb levels. The relatively high timeresolution is the result of a novel cryogenic pre-concentration unit whichrapidly cools (∼ 6 °C s) the sample enrichment traps to−140 °C, and a new chromatographic oven designed for rapid cooling rates(∼ 30 °C s) and subsequent thermal stabilization. SOFIAwas installed in the High Altitude and Long Range Research Aircraft (HALO)for the Oxidation Mechanism Observations (OMO) campaign in August 2015, aimedat investigating the Asian monsoon pollution outflow in the tropical uppertroposphere. In addition to a comprehensive instrument characterization wepresent an example monsoon plume crossing flight as a case study todemonstrate the instrument capability. Hydrocarbon, halocarbon and oxygenatedVOC data from SOFIA are compared with mixing ratios of carbon monoxide (CO)and methane (CH), used to define the pollution plume. By using excess(ExMR) and normalized excess mixing ratios (NEMRs) the pollution could beattributed to two air masses of distinctly different origin, identified byback-trajectory analysis. This work endorses the use of SOFIA for aircraftoperation and demonstrates the value of relatively high-frequency,multicomponent measurements in atmospheric chemistry research.
机译:挥发性有机化合物(VOC)对于对流层的全球空气质量和氧化过程很重要。除了基于地面的测量之外,还可以通过执行原位机载测量来研究此类物质在运输过程中的化学演化。通常,飞机仪表需要比地面系统灵敏,坚固且采样频率更高,而其构造必须符合严格的机械要求。和电气安全标准。在这里,我们介绍了一个新的有机快速识别分析系统(SOFIA),它是定制的快速气相色谱-质谱(GC-MS)系统,其时间分辨率为2-3µmin,并且能够量化卤代烃的大气混合比(低于ppt到ppb的水平的烃,碳氢化合物(例如,异戊二烯),氧化的VOC(丙酮,丙醛,丁酮)和芳香族化合物(例如,苯,甲苯)。相对较高的时间分辨率是新型的低温预浓缩装置将样品富集阱迅速冷却(〜6 C s)至-140°C的结果,另外还有一种新型色谱炉设计用于快速冷却(〜30 C s) )和随后的热稳定化。 SOFIA于2015年8月安装在高空和远程研究飞机(HALO)中,用于氧化机理观测(OMO)运动,旨在调查热带对流层上亚洲季风的污染流出情况。除了全面的仪器表征外,我们还提供了一个季风羽流穿越飞行示例,以演示仪器功能。将来自SOFIA的碳氢化合物,卤代烃和氧化的VOC数据与一氧化碳(CO)和甲烷(CH)的混合比进行比较,以定义污染羽流。通过使用过量(ExMR)和归一化过量混合比(NEMR),污染可能会扩散到起源明显不同的两个空气团中,这通过反向轨迹分析得以识别。这项工作支持将SOFIA用于飞机运行,并证明了相对高频,多组分测量在大气化学研究中的价值。

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