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Seasonal variation and sources of derivatized phenols in atmospheric fine particulate matter in North China Plain

机译:华北平原大气细颗粒物质中衍生化酚衍生化酚的季节变异和季节性变化

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Qualitative and quantitative analyses of derivatized phenols in Beijing and in Xinglong were performed from 2016 to 2017 using gas chromatography-mass spectrometry. The results showed substantially more severe pollution in Beijing. Of the 14 compounds detected, the total average concentration was 100 ng/m3 in Beijing, compared with 11.6 ng/m(3) in Xinglong. More specifically, concentration of nitro-aromatic compounds (NACs) (81.9 ng/m(3) in Beijing and 8.49 ng/m(3) in Xinglong) was the highest, followed by aromatic acids (14.6 ng/m(3) in Beijing and 2.42 ng/m(3) in Xinglong) and aromatic aldehydes (3.62 ng/m(3) in Beijing and 0.681 ng/m(3) in Xinglong). In terms of seasonal variation, the highest concentrations were found for 4-nitrocatechol in winter in Beijing (79.1 +/- 63.9 ng/m(3)) and 4-nitrophenol in winter in Xinglong (9.72 +/- 8.94 ng/m(3)). The analysis also revealed diurnal variations across different seasons. Most compounds presented higher concentrations at night in winter because of the decreased boundary layer height and increased heating intensity. While some presented higher levels during the day, which attributed to the photo-oxidation process for summer and more biomass burning activities for autumn. Higher concentrations appeared in winter and autumn than in spring and summer, which resulted from more coal combustions and adverse meteorological conditions. The significant correlations among NACs indicated similar sources of pollution. Higher correlations presented within each subgroup than those between the subgroups. Good correlations between levoglucosan and nitrophenols, nitrocatechols, nitrosalicylic acids, with correlation coefficients (r) of 0.66, 0.69 and 0.69, respectively, indicating an important role of biomass burning among primary sources. (c) 2019 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
机译:使用气相色谱 - 质谱法从2016〜2017年从2016〜2017年进行北京和兴龙衍生化酚的定性和定量分析。结果表明北京显着严重污染。在检测到的14种化合物中,北京的总平均浓度为100ng / m3,与Xinglong的11.6 ng / m(3)相比。更具体地,己酮芳族化合物(NACS)的浓度(NACS)(81.9 ng / m(3)在Xinglong中的8.49ng / m(3))是最高的,其次是芳香酸(14.6ng / m(3)北京北京和2.42 ng / m(3)在兴龙)和芳香醛(北京3.62ng / m(3)和xinglong的0.681 ng / m(3))。在季节性变化方面,在北京的冬季冬季冬季发现最高浓度(79.1 +/- 63.9 ng / m(3))和4-硝基苯酚在Xinglong(9.72 +/- 8.94 ng / m( 3))。分析还揭示了不同季节的昼夜变化。由于边界层高度降低和增加的加热强度,大多数化合物在冬季举行较高浓度。虽然有些日期呈现出更高的水平,其归因于夏季的夏季和更多生物量燃烧活动的光氧化过程。冬季和秋季的冬季和夏季较高的浓度显现,导致更多的煤炭燃烧和不利的气象条件。 NACS之间的显着相关性表明了类似的污染源。在每个子组内呈现的较高相关性比子组之间的相关性。 Levoglucosan和硝基苯酚,硝基脲,硝基吡啶醇,硝基水杨酸之间的良好相关性分别具有0.66,0.69和0.69的相关系数(R),表明生物量在主要来源之间燃烧的重要作用。 (c)2019中国科学院生态环境科学研究中心。 elsevier b.v出版。

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