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Advanced source apportionment of carbonaceous aerosols by coupling offline AMS and radiocarbon size-segregated measurements over a nearly 2-year period

机译:通过耦合离线AMS和RadioCarbon尺寸隔离测量,在近2年期间通过耦合碳质气溶胶的高级源分配

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Carbonaceous aerosols are related to adverse human health effects. Therefore, identification of their sources and analysis of their chemical composition is important. The offline AMS (aerosol mass spectrometer) technique offers quantitative separation of organic aerosol (OA) factors which can be related to major OA sources, either primary or secondary. While primary OA can be more clearly separated into sources, secondary (SOA) source apportionment is more challenging because different sources – anthropogenic or natural, fossil or non-fossil – can yield similar highly oxygenated mass spectra. Radiocarbon measurements provide unequivocal separation between fossil and non-fossil sources of carbon. Here we coupled these two offline methods and analysed the OA and organic carbon (OC) of different size fractions (particulate matter below 10 and 2.5μm – PM10 and PM2.5, respectively) from the Alpine valley of Magadino (Switzerland) during the years 2013 and 2014 (219?samples). The combination of the techniques gave further insight into the characteristics of secondary OC (SOC) which was rather based on the type of SOC precursor and not on the volatility or the oxidation state of OC, as typically considered. Out of the primary sources separated in this study, biomass burning OC was the dominant one in winter, with average concentrations of 5.36±2.64μgm?3 for PM10 and 3.83±1.81μgm?3 for PM2.5, indicating that wood combustion particles were predominantly generated in the fine mode. The additional information from the size-segregated measurements revealed a primary sulfur-containing factor, mainly fossil, detected in the coarse size fraction and related to non-exhaust traffic emissions with a yearly average PM10 (PM2.5) concentration of 0.20±0.24μgm?3 (0.05±0.04μgm?3). A primary biological OC (PBOC) was also detected in the coarse mode peaking in spring and summer with a yearly average PM10 (PM2.5) concentration of 0.79±0.31μgm?3 (0.24±0.20μgm?3). The secondary OC was separated into two oxygenated, non-fossil OC factors which were identified based on their seasonal variability (i.e. summer and winter oxygenated organic carbon, OOC) and a third anthropogenic OOC factor which correlated with fossil OC mainly peaking in winter and spring, contributing on average 13%±7% (10%±9%) to the total OC in PM10 (PM2.5). The winter OOC was also connected to anthropogenic sources, contributing on average 13%±13% (6%±6%) to the total OC in PM10 (PM2.5). The summer OOC (SOOC), stemming from oxidation of biogenic emissions, was more pronounced in the fine mode, contributing on average 43%±12% (75%±44%) to the total OC in PM10 (PM2.5). In total the non-fossil OC significantly dominated the fossil OC throughout all seasons, by contributing on average 75%±24% to the total OC. The results also suggested that during the cold period the prevailing source was residential biomass burning while during the warm period primary biological sources and secondary organic aerosol from the oxidation of biogenic emissions became important. However, SOC was also formed by aged fossil fuel combustion emissions not only in summer but also during the rest of the year.
机译:碳质气溶胶与不良人体健康影响有关。因此,鉴定它们的来源和分析它们的化学成分是重要的。离线AMS(气溶胶质谱仪)技术提供有机气溶胶(OA)因子的定量分离,其与主要OA来源有关,主要或中学。虽然主要OA可以更清楚地分成来源,但次要(SOA)源分配更具挑战性,因为不同的来源 - 人为或天然,化石或非化石 - 可以产生类似的高氧化质谱。 radiocarbon测量提供化石和非化石碳源之间的明确分离。在这里,我们耦合了这两个离线方法,并在多年来,从Magadino(瑞士)的高山谷分析了不同尺寸分数的OA和有机碳(OC)(分别低于10和2.5μm - PM10和PM2.5) 2013年和2014年(219个?样品)。该技术的组合进一步了解基于SOC前体的类型而不是基于SOC前体的类型而不是挥发性的oc(SoC)的特征的洞察。出于本研究中分离的主要来源,生物量燃烧oc是冬季中的主要浓度,平均浓度为5.36±2.64μgm≤PM10和3.83±1.81μgm2.5,表明木燃烧颗粒是主要在精细模式下产生。来自尺寸隔离测量的附加信息揭示了含有含硫的含硫因子,主要是化石,在粗略尺寸分数中检测到,与非排气交通排放有关,每年平均PM10(PM2.5)浓度为0.20±0.24μgm ?3(0.05±0.04μgm≤3)。在春季和夏季的粗模式下也检测到一次初级生物oC(PBOC),每年平均PM10(PM2.5)浓度为0.79±0.31μgm≤3(0.24±0.20μgm≤3)。将二次OC分成两种含氧,非化石OC因子是基于它们的季节性变异性(即夏季和冬季含氧有机碳,OOC)和第三种人类学对冬季和春季主要达到峰值的第三种人类的OOC因子来鉴定。 ,平均为PM10(PM2.5)中的oc总数为13%±7%(10%±9%)。冬季OOC还与人为源相连,平均为PM10(PM2.5)的总oc平均贡献13%±13%(6%±6%)。夏季OOC(SEOC)源于生物发射的氧化,在精细模式中更加明显,平均为PM10(PM2.5)中的总OC的43%±12%(75%±44%)。总,非化石oc在整个季节中显着占据了化石OC,通过平均贡献了75%±24%至总oc。结果还提出,在寒冷时期期间,普遍的来源是住宅生物量燃烧,而在温暖的期间生物来源和二次有机气溶胶免受生物发射的氧化变得重要。然而,SoC也由老年化石燃料燃烧排放不仅在夏季而且在今年剩下的时间内形成。
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