Abstract Residential wood combustion, which is characterized by incomplete combustion, is a common source of particulate matter in suburban areas. This study investigated the usability of three different scattering-based particulate matter (PM) sensors and an absorption-based black carbon (BC) sensor in an environment impacted by wood combustion emissions. The measurement campaign, which lasted approximately 10 weeks, was conducted during wintertime in a suburban detached housing area in Helsinki, Finland. The results indicated that the scattering-based sensors were better suited for the measurement of PM1 (R2: 0.94–0.97) than for the PM2.5 (R2: 0.75–0.87). Analysis of the different proportions of size fractions indicated this was due to the particle size discrimination characteristics of sensors. Furthermore, the sensor responses were affected by the BC to PM1 ratio. This was attributed to the changing optical properties of the measured aerosol; however, the effect was not consistent across all the 3 p.m. sensors. The absorption-based BC sensor exhibited very good performance (R2: 0.97–0.98) at 470 and 880 nm wavelengths, and the source apportionment (BC contributed to wood burning and fossil fuel combustion) results were comparable to that of the reference instrument. When sensor data was applied in practice, a case study demonstrated that a simultaneous use of PM1 and BC sensors enabled more sophisticated data analysis; episodes originating from local wood burning and long-range transported aerosols were distinguishable from each other due to their different BC to PM1 ratios. The evaluated sensors were shown to bring added value to residential area air quality assessments.

中文翻译：

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在住宅木材燃烧影响的环境中利用基于散射和吸收的颗粒物传感器

摘要 住宅木材燃烧以不完全燃烧为特征，是郊区常见的颗粒物来源。本研究调查了三种不同的基于散射的颗粒物 (PM) 传感器和基于吸收的黑碳 (BC) 传感器在受木材燃烧排放影响的环境中的可用性。测量活动持续了大约 10 周，于冬季在芬兰赫尔辛基的郊区独立住宅区进行。结果表明，基于散射的传感器比 PM2.5（R2：0.75-0.87）更适合测量 PM1（R2：0.94-0.97）。对不同比例的粒度分数的分析表明，这是由于传感器的粒度区分特性造成的。此外，传感器响应受 BC 与 PM1 比率的影响。这是由于被测气溶胶的光学特性发生了变化；然而，所有下午 3 点传感器的效果并不一致。基于吸收的 BC 传感器在 470 和 880 nm 波长下表现出非常好的性能（R2：0.97-0.98），并且源分配（BC 有助于木材燃烧和化石燃料燃烧）结果与参考仪器的结果相当。在实际应用传感器数据时，一项案例研究表明，同时使用 PM1 和 BC 传感器可以实现更复杂的数据分析；由于 BC 与 PM1 的比率不同，源自局部木材燃烧的事件和远程传输的气溶胶可以相互区分。