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Source apportionment of molecular markers and organic aerosol. 2. Biomass smoke

机译:分子标记物和有机气溶胶的来源分配。 2.生物质烟雾

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Chemical mass balance analysis was performed using a large dataset of molecular marker concentrations to estimate the contribution of biomass smoke to ambient organic carbon (OC) and fine particle mass in Pittsburgh, Pennsylvania. Source profiles were selected based on detailed comparisons between the ambient data and a large number of published profiles. The fall and winter data were analyzed with fireplace and woodstove source profiles, and open burning profiles were used to analyze the spring and summer data. At the upper limit, biomass smoke is estimated to contribute on average 520 +/- 140 ng-C m(-3) or 14.5% of the ambient OC in the fall, 210 +/- 85 ng-C m(-3) or 10% of the ambient OC in the winter, and 60 +/- 21 ng-C/m(-3) or 2% of the ambient OC in the spring and summer. In the fall and winter, there is large day-to-day variability in the amount of OC apportioned to biomass smoke. The levels of biomass smoke in Pittsburgh are much lower than in some other areas of the United States, indicating significant regional variability in the importance of biomass combustion as a source of fine particulate matter. The calculations face two major sources of uncertainty. First, the ambient ratios of levoglucosan, resin acids, and syringhaldehyde concentrations are highly variable implying that numerous sources with distinct source profiles contribute to ambient marker concentrations. Therefore, in contrast to previous CMB analyses, we find that at least three distinct biomass smoke source profiles must be included in the CMB model to explain this variability. Second, the marker-to-OC ratios of available biomass smoke profiles are highly variable. This variability introduces uncertainty of more than a factor of 2 in the amount of ambient OC apportioned to biomass smoke by different statistically acceptable CMB solutions. The marker-to-OC ratios of source profiles are critical parameters to consider when evaluating CMB solutions.
机译:使用大量的分子标记物浓度数据集进行了化学物质平衡分析,以估计生物质烟雾对宾夕法尼亚州匹兹堡的环境有机碳(OC)和细颗粒质量的贡献。基于环境数据与大量已发布的配置文件之间的详细比较来选择源配置文件。使用壁炉和木炉源剖面分析了秋季和冬季数据,并使用露天燃烧剖面分析了春季和夏季数据。在上限时,估计生物质烟雾在秋天平均贡献520 +/- 140 ng-C m(-3)或520 +/- 140 ng-C m(-3)或14.5%。或冬季的10%OC,春季和夏季为60 +/- 21 ng-C / m(-3)或2%OC。在秋季和冬季,分配给生物质烟雾的OC量每天都有很大的差异。匹兹堡的生物质烟雾水平远低于美国其他地区,这表明在生物质燃烧作为细颗粒物来源的重要性方面,区域差异很大。计算面临两个不确定性的主要来源。首先,左旋葡聚糖,树脂酸和丁香醛浓度的环境比变化很大,这意味着具有不同来源特征的许多来源都有助于环境标记物浓度。因此,与以前的CMB分析相比,我们发现CMB模型中必须包括至少三个不同的生物质烟源概况,以解释这种可变性。其次,可用生物质烟雾分布的标志物与OC比率高度可变。这种可变性导致通过不同的统计可接受的CMB解决方案分配给生物质烟雾的环境OC量的不确定性超过2倍。源配置文件的标记与OC比率是评估CMB解决方案时要考虑的关键参数。

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