Mukherjee A, Hartikainen A, Joutsensaari J, Basnet S, Mesceriakovas A, Ihalainen M, Yli-Pirilä P, Leskinen J, Somero M, Louhisalmi J, Fang Z, Kalberer M, Rudich Y, Tissari J, Czech H, Zimmermann R, Sippula O
Department of Environmental and Biological Science, University of Eastern Finland, Kuopio 70210, Finland.
Department of Technical Physics, University of Eastern Finland, Kuopio 70210, Finland.
Sci Total Environ. 2024 Nov 20;952:175840. doi: 10.1016/j.scitotenv.2024.175840. Epub 2024 Aug 28.
Residential wood combustion (RWC) remains a significant global source of particulate matter (PM) emissions with adverse impacts on regional air quality, climate, and human health. The lung-deposited surface area (LDSA) and equivalent black carbon (eBC) concentrations have emerged as important metrics to assess particulate pollution. In this study we estimated combustion phase-dependent emission factors of LDSA for alveolar, tracheobronchial, and head-airway regions of human lungs and explored the relationships between eBC and LDSA in fresh and photochemically aged RWC emissions. Photochemical aging was simulated in an oxidative flow reactor at OH• exposures equivalent to 1.4 or 3.4 days in the atmosphere. Further, the efficiency of a small-scale electrostatic precipitator (ESP) for reducing LDSA and eBC from the wood stove was determined. For fresh emission eBC correlated extremely well with LDSA, but the correlation decreased after aging. Soot-dominated flaming phase showed the highest eBC dependency of LDSA whereas for ignition and char burning phases non-BC particles contributed strongly the LDSA. Deposition to the alveolar region contributed around 60 % of the total lung-deposition. The ESP was found as an effective method to mitigate particulate mass, LDSA, as well as eBC emissions from wood stoves, as they were reduced on average by 72%, 71%, and 69%, respectively. The reduction efficiencies, however, consistently dropped over the span of an experiment, especially for eBC. Further, the ESP was found to increase the sub-30 nm ultrafine particle number emissions, with implications for LDSA. The results of this study can be used for assessing the contribution of RWC to LDSA concentrations in ambient air.
住宅木材燃烧(RWC)仍然是全球颗粒物(PM)排放的一个重要来源,对区域空气质量、气候和人类健康产生不利影响。肺沉积表面积(LDSA)和等效黑碳(eBC)浓度已成为评估颗粒物污染的重要指标。在本研究中,我们估计了人类肺部肺泡、气管支气管和头部气道区域LDSA的燃烧阶段相关排放因子,并探讨了新鲜和光化学老化的RWC排放中eBC与LDSA之间的关系。在氧化流动反应器中模拟光化学老化,OH•暴露量相当于大气中1.4或3.4天。此外,还测定了小型静电除尘器(ESP)减少木炉中LDSA和eBC的效率。对于新鲜排放,eBC与LDSA的相关性非常好,但老化后相关性降低。以烟尘为主的火焰阶段显示LDSA对eBC的依赖性最高,而对于点火和焦炭燃烧阶段,非BC颗粒对LDSA的贡献很大。沉积到肺泡区域约占肺部总沉积量的60%。ESP被发现是一种减轻木炉颗粒物质量、LDSA以及eBC排放的有效方法,因为它们平均分别减少了72%、71%和69%。然而,在整个实验过程中,去除效率持续下降,尤其是对于eBC。此外,还发现ESP会增加小于30nm的超细颗粒物排放,这对LDSA有影响。本研究结果可用于评估RWC对环境空气中LDSA浓度的贡献。