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Impact of pollution controls in Beijing on atmospheric oxygenated volatile organic compounds (OVOCs) during the 2008 Olympic Games: observation and modeling implications

机译:2008年奥运会期间北京对大气氧化有机化合物(OVOCS)的影响:观察和建模意义

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Oxygenated volatile organic compounds (OVOCs) are important products of the photo-oxidation of hydrocarbons. They influence the oxidizing capacity and the ozone-forming potential of the atmosphere. In the summer of 2008, 2 months of emission restrictions were enforced in Beijing to improve air quality during the Olympic Games. Observational evidence reported in related studies that these control measures were efficient in reducing the concentrations of primary anthropogenic pollutants (CO, NOx and non-methane hydrocarbons, i.e., NMHCs) by 30–40%. In this study, the influence of the emission restrictions on ambient levels of OVOCs was explored using a neural network analysis with consideration of meteorological conditions. Statistically significant reductions in formaldehyde (HCHO), acetaldehyde (CH3CHO), methyl ethyl ketone (MEK) and methanol were found to be 12.9, 15.8, 17.1 and 19.6%, respectively, when the restrictions were in place. The effect of emission controls on acetone was not detected in neural network simulations, probably due to pollution transport from surrounding areas outside Beijing. Although the ambient levels of most NMHCs were reduced by ~35% during the full control period, the emission ratios of reactive alkenes and aromatics closely related to automobile sources did not present much difference (3CHO, methyl vinyl ketone and methacrolein (MVK + MACR) before and during the pollution controlled period were comparable to the estimated reductions in the neural network, reflecting that current mechanisms can largely explain secondary production of those species under urban conditions. However, it is worth noting that the box model overestimated the measured concentrations of aldehydes by a factor of 1.4–1.7 without consideration of loss of aldehydes on aerosols, and simulated MEK was in good agreement with the measurements when primary sources were taken into consideration. These results suggest that the understanding of the OVOCs budget in the box model remains incomplete, and that there is still considerable uncertainty in particular missing sinks (unknown chemical and physical processes) for aldehydes and absence of direct emissions for ketones.
机译:含氧挥发性有机化合物(OVOCS)是烃光氧化的重要产物。它们影响氧化能力和大气的臭氧形成潜力。在2008年夏天,在北京强制执行2个月的排放限制,以改善奥运会期间的空气质量。在相关研究中报告的观察证据表明,这些控制措施在将原发性人为污染物(CO,NOx和非甲烷烃,即NMHC)的浓度降低30-40%时有效。在这项研究中,利用神经网络分析考虑了气象条件,探讨了对OVOCs环境水平的影响。发现甲醛(HCHO),乙醛(CH3℃),甲基乙基酮(MEK)和甲醇的统计学上显着降低,分别为12.9,15.8,17.1和19.6%,当限制到位时。在神经网络模拟中未检测到排放对丙酮对丙酮的影响,可能是由于北京以外周边地区的污染运输。尽管在完全控制期间,大多数NMHC的环境水平降低〜35%,但与汽车源密切相关的反应性烯烃和芳烃的排放比率并未出现太大差异(3℃,甲基乙烯基酮和甲基丙烯醛(MVK + MACR)在污染期间和在污染期间与神经网络中的估计减少相当,反映了当前机制在很大程度上可以在城市条件下解释这些物种的二次生产。但是,值得注意的是,盒式模型高估了测量的醛浓度的醛1.4-1.7不考虑在不考虑气溶胶上的醛丧失的情况下,并且在考虑主要来源时,模拟MEK与测量有关的议程。这些结果表明,箱体模型中的OVOCS预算的理解仍然不完整,特别是缺失的水槽仍然存在相当大的不确定性(未知的Chemica L和物理过程)对于醛和酮类缺乏直接排放。

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