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Source Apportionment and Macro Tracer: Integration of Independent Methods for Quantification of Woody Biomass Burning Contribution to PM10

机译:源分配和宏示踪剂:量化PM 10 木质生物质燃烧贡献的独立方法的集成

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During the last few years, the rise in woody biomass burning (BB) for household heating has caused an increase in PM mass concentrations, particularly for the fine fraction, in Europe, as reported by the European Environmental Agency. Estimating the contribution from biomass combustion to airborne particulate matter is therefore an important issue in air quality governance, due to its potential health and environmental impacts.Wood burning’s contribution to PM_(10) was estimated in winter at a rural site in southern Italy by means of two independent methods: source apportionment analysis with Positive Matrix Factorization (BBPMF) and the macro tracer approach, based on levoglucosan concentrations (BBLevo). PM_(10) and PM_(2.5) samples were collected every 24 h and every 8 h, respectively, and analyzed to determine the organic and elemental carbon, levoglucosan, inorganic ions and elements.The results obtained via these methods showed good agreement (r = 0.85), with a linear correlation slope of about 1, and provide a reliable assessment of the BB contribution.Woody biomass combustion contributed significantly to the PM_(10) (on average, slightly less than 30% of the total mass) during winter. The combination of the independent methods proposed here may be used as a methodology for refining the BB contribution to air pollution.
机译:根据欧洲环境署的报告,在过去的几年中,用于家庭取暖的木质生物质燃烧(BB)的增加导致了欧洲PM浓度的增加,特别是细颗粒物浓度的增加。因此,估计生物量燃烧对空气中颗粒物的贡献是空气质量治理中的一个重要问题,因为它可能对健康和环境造成影响。意大利南部农村地区的冬季,木材燃烧对PM_(10)的贡献估计为两种独立方法中的一种:基于左旋葡聚糖浓度(BBLevo)的采用正矩阵因式分解(BBPMF)的源分配分析和宏示踪法。每24 h和8 h分别采集一次PM_(10)和PM_(2.5)样品,并进行分析以确定有机碳和元素碳,左旋葡聚糖,无机离子和元素。通过这些方法获得的结果显示出良好的一致性(r = 0.85),线性相关斜率约为1,可以可靠地估算BB含量。冬季木质生物质燃烧对PM_(10)的贡献很大(平均略低于总质量的30%) 。这里提出的独立方法的组合可以用作完善BB对空气污染的贡献的方法。

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