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Ozone production from the interaction of wildfire and biogenic emissions: A case study in Russia during spring 2006

机译:野火与生物排放相互作用产生的臭氧:2006年春季俄罗斯的案例研究

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摘要

The objective of this study is to investigate the contribution of biomass burning emissions to O3 production during small-scale dry-grass fires over Western Russia (24 April-10 May 2006) as well as to quantify the effect of biogenic emissions in this environment. By using the Factor Separation methodology, we evaluate the pure contribution of each one of these two sources and we appoint the significance of their synergistic effect on O3 production. The total (actual) contribution of each source is also estimated. Sensitivity simulations assess the effect of various fire emission parameters, such as chemical composition, emissions magnitude and injection height. The model results are compared with O3 and isoprene observations from 117 and 9 stations of the EMEP network, respectively. Model computations show that the fire episode determines the sensitivity of O3 chemistry in the area. The reference run which represents grass fires with high NO_x/CO emission ratio (0.06) is characterized by VOC-sensitive O3 production. In that case, the pure impact of fire emissions on surface O3 is up to 40-45 ppb, while their synergistic effect with the biogenic emissions is proven significant (up to 8 ppb). Under a lower NO_x/CO molar ratio (0.025, representative of agricultural residues), the area is characterized by NO_x-sensitive chemistry and the maximum surface O3 predictions are almost doubled due to higher O3 production at the fire spots and lower fires' NO emissions.
机译:这项研究的目的是调查在俄罗斯西部(2006年4月24日至5月10日)进行的小规模干草大火期间,生物质燃烧排放物对O3产生的贡献,并量化这种环境下生物排放的影响。通过使用因子分离方法,我们评估了这两种来源中每种来源的纯贡献,并指定了它们对O3产生的协同作用的重要性。还估计每个来源的总(实际)贡献。灵敏度模拟评估各种火灾排放参数的影响,例如化学成分,排放量和喷射高度。将模型结果分别与EMEP网络的117个站和9个站的O3和异戊二烯观测值进行比较。模型计算表明,火灾发作决定了该地区O3化学的敏感性。代表具有高NO_x / CO排放比(0.06)的草火的参考运行的特征是对VOC敏感的O3产生。在那种情况下,火排放物对表面O3的纯影响高达40-45 ppb,而事实证明它们与生物排放物的协同作用很明显(高达8 ppb)。在较低的NO_x / CO摩尔比(0.025,代表农业残留物)下,该区域的特征是对NO_x敏感的化学物质,并且最大的表面O3预测值几乎翻了一番,这是因为着火点处的O3产量更高且火灾的NO排放量更低。

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