天井山空气背景站单颗粒气溶胶有机硫酸酯初步研究
发布时间：2018-08-09 13:43
【摘要】：运用单颗粒气溶胶飞行时间质谱仪(SPAMS)在雨季(2015年8月18日~9月7日)于广东南岭天井山国家背景空气站,首次从二次有机气溶胶(SOA)中发现了有异戊二烯参与生成的有机硫酸酯(IEPOX-derived organosulfate),并初步研究了其变化规律.运用自适应共振理论神经网络算法(ART-2a)将细颗粒物按化学成分分为9类,元素碳(EC)、有机碳(OC)、元素/有机混合碳(ECOC)、左旋葡聚糖颗粒(LEV)、富钾颗粒(K-rich)、富钠颗粒(Na-rich)、金属颗粒(Metal)、富硅颗粒(Si-rich)和有机胺(Amine).并运用示踪离子法研究森林中与异戊二烯氧化相关的有机硫酸酯的变化规律,发现其变化趋势与O_3较为相关,与SO_2和CO几乎不相关.另外,有机硫酸酯在相对湿度大于90%和在温度小于18℃时更容易形成.在夜间观测到的有机硫酸酯较白天高出49%,这可能与森林夜间湿度更高,温度更低有关.本研究证实了该森林地区已经受到人为源污染的影响,并且可以生成人为源二次有机气溶胶(ASOA).
[Abstract]:A single particle aerosol time-of-flight mass spectrometer (SPAMS) was used in the rainy season (August 18 to September 7, 2015) at the National background Air Station in Nanling, Guangdong Province, from August 18 to September 7, 2015. For the first time, an organic sulfate (IEPOX-derived organosulfate),) with isoprene involved in the formation of secondary organic aerosol (SOA) was found and its variation law was preliminarily studied. Adaptive resonance theory neural network algorithm (ART-2a) is used to classify fine particles into 9 categories according to their chemical composition. Elemental carbon (EC), Organic carbon (OC), / Organic mixed carbon (ECOC), Levodextran granules (LEV), potassium rich (K-rich), Sodium rich (Na-rich), Metal particles (Metal), Silicon rich (Si-rich) and Organic Amine (Amine). The changes of organic sulfate related to isoprene oxidation in forest were studied by means of tracer ion method. It was found that the variation trend was related to O _ 3, but not to SO_2 and CO. In addition, organic sulfate is easier to form when the relative humidity is more than 90% and the temperature is less than 18 鈩，
本文编号：2174253
[Abstract]:A single particle aerosol time-of-flight mass spectrometer (SPAMS) was used in the rainy season (August 18 to September 7, 2015) at the National background Air Station in Nanling, Guangdong Province, from August 18 to September 7, 2015. For the first time, an organic sulfate (IEPOX-derived organosulfate),) with isoprene involved in the formation of secondary organic aerosol (SOA) was found and its variation law was preliminarily studied. Adaptive resonance theory neural network algorithm (ART-2a) is used to classify fine particles into 9 categories according to their chemical composition. Elemental carbon (EC), Organic carbon (OC), / Organic mixed carbon (ECOC), Levodextran granules (LEV), potassium rich (K-rich), Sodium rich (Na-rich), Metal particles (Metal), Silicon rich (Si-rich) and Organic Amine (Amine). The changes of organic sulfate related to isoprene oxidation in forest were studied by means of tracer ion method. It was found that the variation trend was related to O _ 3, but not to SO_2 and CO. In addition, organic sulfate is easier to form when the relative humidity is more than 90% and the temperature is less than 18 鈩，
本文编号：2174253
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