School of Life Sciences, University of Sussex, Falmer, Brighton, UK.
Chemosphere. 2010 Mar;78(11):1385-92. doi: 10.1016/j.chemosphere.2009.12.065. Epub 2010 Jan 18.
An investigation was made into the emissions of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) as well as inorganic gases (e.g. CO) from a wood fired combustion boiler using wood pellets, under two different boiler operating modes. Levels of total PAHs varied from 6.4 and 154 microg m(-3), and were found to be dominating in the gas phase (>80%), regardless of pellet type and boiler operating mode. In addition to this, PAH concentrations were higher in slumber mode than in full flame, and increased with the moisture content of pellets, consistent with the lower combustion efficiency in slumber mode (58.6-64.3%) than in full flame (74.4-82.3%). PAHs in the gas phase comprised mainly of low molecular mass compounds, while PAHs in the particulate phase were mostly composed of high molecular mass compounds, consistent with the physicochemical properties of such compounds. In comparison to PAHs, significantly lower concentrations of PCBs (a maximum of 2.5 microg m(-3)) were released from pellet combustion, consistent with the virgin nature of the pellets. The PCBs in both the gas and particulate phases were dominated by hexachlorinated congeners, although congeners with more chlorine substitution were more abundant in the particulate phase than in gas phase. Significant relationships were established between CO and organic pollutants, and between PAHs and PCBs, which are useful tools for prediction purposes.
研究了在两种不同的燃烧器运行模式下,生物质颗粒燃烧器排放的多环芳烃(PAHs)和多氯联苯(PCBs)以及无机气体(如 CO)。总多环芳烃的水平在 6.4 和 154μg/m³之间变化,无论颗粒类型和燃烧器运行模式如何,它们在气相中都占主导地位(>80%)。此外,在休眠模式下,PAH 浓度高于全火焰模式,并且随着颗粒的水分含量增加而增加,这与休眠模式下较低的燃烧效率(58.6-64.3%)一致,而全火焰模式下的燃烧效率(74.4-82.3%)较高。气相中的 PAHs 主要由低分子量化合物组成,而颗粒相中 PAHs 主要由高分子量化合物组成,这与这些化合物的物理化学性质一致。与 PAHs 相比,颗粒燃烧释放的 PCBs 浓度显著较低(最高 2.5μg/m³),这与颗粒的原始性质一致。气相和颗粒相中的 PCBs 主要由六氯同系物组成,尽管具有更多氯取代的同系物在颗粒相中比在气相中更丰富。CO 和有机污染物之间以及 PAHs 和 PCBs 之间建立了显著的关系,这些关系是预测目的的有用工具。