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The impact of biogenic, anthropogenic, and biomass burning volatile organic compound emissions on regional and seasonal variations in secondary organic aerosol

机译:生物,人为和生物质燃烧挥发性有机化合物排放对次生有机气溶胶区域和季节变化的影响

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The global secondary organic aerosol (SOA) budget is highly uncertain, with global annual SOA production rates, estimated from global models, ranging over an order of magnitude and simulated SOA concentrations underestimated compared to observations. In this study, we use a?global composition-climate model (UKCA) with interactive chemistry and aerosol microphysics to provide an in-depth analysis of the impact of each VOC source on the global SOA budget and its seasonality. We further quantify the role of each source on SOA spatial distributions, and evaluate simulated seasonal SOA concentrations against a?comprehensive set of observations. The annual global SOA production rates from monoterpene, isoprene, biomass burning, and anthropogenic precursor sources is 19.9, 19.6, 9.5, and 24.6 Tg?(SOA)?asup?1/sup , respectively. When all sources are included, the SOA production rate from all sources is 73.6 Tg?(SOA)?asup?1/sup , which lies within the range of estimates from previous modelling studies. SOA production rates and SOA burdens from biogenic and biomass burning SOA sources peak during Northern Hemisphere (NH) summer. In contrast, the anthropogenic SOA production rate is fairly constant all year round. However, the global anthropogenic SOA burden does have a?seasonal cycle which is lowest during NH summer, which is probably due to enhanced wet removal. Inclusion of the new SOA sources also accelerates the ageing by condensation of primary organic aerosol (POA), making it more hydrophilic, leading to a?reduction in the POA lifetime. With monoterpene as the only source of SOA, simulated SOA and total organic aerosol (OA) concentrations are underestimated by the model when compared to surface and aircraft measurements. Model agreement with observations improves with all new sources added, primarily due to the inclusion of the anthropogenic source of SOA, although a?negative bias remains. A?further sensitivity simulation was performed with an increased anthropogenic SOA reaction yield, corresponding to an annual global SOA production rate of 70.0 Tg?(SOA)?asup?1/sup . Whilst simulated SOA concentrations improved relative to observations, they were still underestimated in urban environments and overestimated further downwind and in remote environments. In contrast, the inclusion of SOA from isoprene and biomass burning did not improve model–observations biases substantially except at one out of two tropical locations. However, these findings may reflect the very limited availability of observations to evaluate the model, which are primarily located in the NH mid-latitudes where anthropogenic emissions are high. Our results highlight that, within the current uncertainty limits in SOA sources and reaction yields, over the NH mid-latitudes, a?large anthropogenic SOA source results in good agreement with observations. However, more observations are needed to establish the importance of biomass burning and biogenic sources of SOA in model agreement with observations.
机译:全球二次有机气溶胶(SOA)预算高度不确定,根据全球模型估算的全球SOA年度生产率在一个数量级范围内,与观察值相比,模拟SOA浓度被低估了。在这项研究中,我们使用具有交互化学和气溶胶微物理学的全球组成-气候模型(UKCA),对每种VOC来源对全球SOA预算及其季节性的影响进行了深入分析。我们进一步量化每个来源在SOA空间分布上的作用,并根据一组综合的观察结果评估模拟的季节性SOA浓度。单萜,异戊二烯,生物质燃烧和人为前体来源的全球SOA的年生产率分别为19.9、19.6、9.5和24.6 Tg?(SOA)?a ?1 。当包括所有来源时,来自所有来源的SOA生产率为73.6 Tg?(SOA)?a ?1 ,这在先前建模研究的估计范围内。在北半球(NH)夏季,来自生物源和生物质燃烧SOA源的SOA生产率和SOA负担达到峰值。相比之下,人为的SOA生产率全年都相当稳定。但是,全球人为的SOA负担确实具有一个季节性周期,该季节周期在NH夏季最低,这可能是由于提高了除湿能力所致。包含新的SOA来源还可以通过缩合主要有机气溶胶(POA)来加速老化,使其更加亲水,从而导致POA寿命缩短。以单萜作为SOA的唯一来源,与地面和飞机测量值相比,模型会低估模拟的SOA和总有机气溶胶(OA)浓度。尽管增加了负偏差,但增加了所有新来源后,与观测值的模型一致性得到了改善,这主要是由于包括了人为来源的SOA。以更高的人为源SOA反应产率进行了进一步的灵敏度模拟,相当于全球SOA的年生产率为70.0 Tg?(SOA)?a ?1 。尽管模拟的SOA浓度相对于观测值有所提高,但在城市环境中仍然被低估,而在顺风和偏远环境中则被高估了。相比之下,将异戊二烯和生物质燃烧中的SOA包括在内并不能改善模型的观测偏差,除了两个热带地区中的一个以外,观测偏差基本上没有。但是,这些发现可能反映了评估模型的观测资料非常有限,这些观测资料主要位于人为排放量很高的北半球中纬度地区。我们的研究结果表明,在目前的SOA源和反应产量的不确定性范围内,在NH中纬度地区,大型的人为SOA源与观测结果吻合良好。但是,需要更多的观察来建立与观察模型一致的生物质燃烧和SOA生物源的重要性。

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