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Black carbon surface oxidation and organic composition of beech-wood soot aerosols

机译:黑碳表面氧化和山毛榉木烟尘气溶胶的有机组成

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摘要

Soot particles are the most strongly light-absorbing particles commonly found in the atmosphere. They are major contributors to the radiative budget of the Earth and to the toxicity of atmospheric pollution. Atmospheric aging of soot may change its health- and climate-relevant properties by oxidizing the primary black carbon (BC) or organic particulate matter (OM) which, together with ash, comprise soot. This atmospheric aging, which entails the condensation of secondary particulate matter as well as the oxidation of the primary OM and BC emissions, is currently poorly understood. In this study, atmospheric aging of wood-stove soot aerosols was simulated in a continuous-flow reactor. The composition of fresh and aged soot particles was measured in real time by a dual-vaporizer aerosol-particle mass spectrometer (SP-AMS).The dual-vaporizer SP-AMS provided information on the OM and BC componentsof the soot as well as on refractory components internally mixed with BC. By switching theSP-AMS laser vaporizer off and using only the AMS thermal vaporizer (at600 °C), information on the OM component only was obtained. In both modes, OM appeared to be generated largely by cellulose and/or hemicellulose pyrolysis and was only present in large amounts when new wood was added to the stove. In SP-AMS mode, BC signals otherwise dominated the mass spectrum. Thesesignals consisted of ions related to refractory BC (rBC, C),oxygenated carbonaceous ions (CO), potassium (K), and water (HO and related fragments). The C : C ratio, but not the C : C ratio, was consistent with the BC-structure trends of Corbin et al. (2015c). The CO signals likely originated from BC surface groups: upon aging, both CO and CO increased relative to C while CO simultaneously increased relative to CO. Factor analysis (positive matrix factorization) of SP-AMS and AMS data, using a modified error model to address peak-integration uncertainties, indicated that the surface composition of the BC was approximately constant across all stages of combustion for both fresh and aged samples. These results represent the first time-resolved measurements of in situ BC surface aging and suggest that the surface of beech-wood BC may be modelled as a single chemical species.
机译:烟尘颗粒是大气中最常见的最强吸光颗粒。它们是地球辐射预算和大气污染毒性的主要贡献者。烟灰的大气老化可能会通过氧化与烟灰一起构成烟灰的主要黑碳(BC)或有机颗粒物(OM)来改变其与健康和气候相关的特性。目前,人们对这种大气老化的认识还很陌生,这种大气老化导致次级颗粒物质的凝结以及初级OM和BC排放物的氧化。在这项研究中,在连续流反应器中模拟了木炉烟尘气溶胶的大气老化。通过双蒸发器气溶胶颗粒质谱仪(SP-AMS)实时测量新鲜和老化的烟灰颗粒的组成。双蒸发器SP-AMS提供有关烟灰的OM和BC成分以及耐火成分内部与BC混合。通过关闭SP-AMS激光蒸发器并仅使用AMS热蒸发器(在600°C下),仅获得有关OM组件的信息。在这两种模式下,OM似乎主要是由纤维素和/或半纤维素的热解产生的,并且仅在将新木材添加到火炉时才大量存在。在SP-AMS模式下,BC信号将主导质谱。这些信号由与难治性BC(rBC,C),氧化碳质离子(CO),钾(K)和水(HO和相关碎片)有关的离子组成。 C:C比,而不是C:C比,与Corbin等人的BC结构趋势一致。 (2015c)。 CO信号可能源自BC表面组:老化后,CO和CO均相对于C升高,而CO同时相对于CO升高。SP-AMS和AMS数据的因子分析(正矩阵分解),使用修正的误差模型解决了峰积分不确定性问题,表明对于新鲜和陈化样品,BC的表面组成在所有燃烧阶段均大致恒定。这些结果代表了原位BC表面老化的首次时间分辨测量结果,表明山毛榉木BC的表面可以建模为单一化学物种。

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