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首页> 外文期刊>Atmospheric chemistry and physics >Influence of oil and gas field operations on spatial and temporal distributions of atmospheric non-methane hydrocarbons and their effect on ozone formation in winter
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Influence of oil and gas field operations on spatial and temporal distributions of atmospheric non-methane hydrocarbons and their effect on ozone formation in winter

机译:石油和天然气场运作对大气非甲烷烃的空间和时间分布及其对冬季臭氧地层影响的影响及其对臭氧形成的影响

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Emissions from oil and natural gas development during winter in the Upper Green River basin of Wyoming are known to drive episodic ozone (O_3≥ production. Contrasting O_3 distributions were observed in the winters of 2011 and 2012, with numerous episodes (hourly O_3 ≥85 ppbv) in 2011 compared to none in 2012. The lack of O_3 episodes in 2012 coincided with a reduction in measured ambient levels of total non-methane hydrocarbons (NMHC). Measurements of speciated NMHC, and other air quality parameters, were performed to better understand emission sources and to determine which compounds are most active in promoting O_3 formation. Positive matrix factorization (PMF) analyses of the data were carried out to help achieve these goals. PMF analyses revealed three contributing factors that were identified with different emission source types: factor 1, combustion/traffic; factor 2, fugitive natural gas; and factor 3, fugitive condensate. Compositional signatures of the three contributing factors were identified through comparison with independently derived emission source profiles. Fugitive emissions of natural gas and of condensate were the two principal emission source types for NMHC. A water treatment and recycling facility was found to be a significant source of NMHC that are abundant in condensate, in particular toluene and m+p-xylene. Emissions from water treatment have an influence upon peak O_3 mixing ratios at downwind measurement sites.
机译:冬季绿河流域的石油和天然气开发的排放是众所周知的,促使臭氧臭氧(O_3≥生产。在2011年和2012年的冬季观察到对比O_3分布,具有许多剧集(每小时O_3≥85PPBV )2011年与2012年无比。2012年缺乏O_3剧集恰逢测量的环境水平的总非甲烷烃(NMHC)。进行了规定的NMHC和其他空气质量参数的测量,以更好地了解发射来源和确定哪种化合物在促进O_3形成方面最活跃。进行数据的正矩阵分解(PMF)分析,以帮助实现这些目标。PMF分析显示了不同排放源类型的三种贡献因素:因子1,燃烧/交通;因子2,逃逸天然气;和因子3,逃逸凝结物。三种贡献事实上的组成特征通过与独立导出的发射源配置文件进行比较来识别rs。天然气和缩合物的逃逸排放是NMHC的两个主要排放源类型。发现水处理和再循环设施是NMHC的重要来源,其在冷凝物中丰富,特别是甲苯和M + P-二甲苯。水处理的排放对下行测量位点的峰值O_3混合比具有影响。

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