天井山空氣背景站單顆粒氣溶膠有機硫酸酯初步研究
發(fā)布時間:2018-08-09 13:43
【摘要】:運用單顆粒氣溶膠飛行時間質(zhì)譜儀(SPAMS)在雨季(2015年8月18日~9月7日)于廣東南嶺天井山國家背景空氣站,首次從二次有機氣溶膠(SOA)中發(fā)現(xiàn)了有異戊二烯參與生成的有機硫酸酯(IEPOX-derived organosulfate),并初步研究了其變化規(guī)律.運用自適應(yīng)共振理論神經(jīng)網(wǎng)絡(luò)算法(ART-2a)將細顆粒物按化學(xué)成分分為9類,元素碳(EC)、有機碳(OC)、元素/有機混合碳(ECOC)、左旋葡聚糖顆粒(LEV)、富鉀顆粒(K-rich)、富鈉顆粒(Na-rich)、金屬顆粒(Metal)、富硅顆粒(Si-rich)和有機胺(Amine).并運用示蹤離子法研究森林中與異戊二烯氧化相關(guān)的有機硫酸酯的變化規(guī)律,發(fā)現(xiàn)其變化趨勢與O_3較為相關(guān),與SO_2和CO幾乎不相關(guān).另外,有機硫酸酯在相對濕度大于90%和在溫度小于18℃時更容易形成.在夜間觀測到的有機硫酸酯較白天高出49%,這可能與森林夜間濕度更高,溫度更低有關(guān).本研究證實了該森林地區(qū)已經(jīng)受到人為源污染的影響,并且可以生成人為源二次有機氣溶膠(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,
本文編號: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,
本文編號:2174253
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