Addressing the advantages and limitations of using Aethalometer data to determine the optimal absorption Ångström exponents (AAEs) values for eBC source apportionment

IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment Pub Date : 2025-05-15 Epub Date: 2025-02-21 DOI:10.1016/j.atmosenv.2025.121121
Marjan Savadkoohi , Mohamed Gherras , Olivier Favez , Jean-Eudes Petit , Jordi Rovira , Gang I. Chen , Marta Via , Stephen Platt , Minna Aurela , Benjamin Chazeau , Joel F. de Brito , Véronique Riffault , Kostas Eleftheriadis , Harald Flentje , Martin Gysel-Beer , Christoph Hueglin , Martin Rigler , Asta Gregorič , Matic Ivančič , Hannes Keernik , Marco Pandolfi
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Abstract

The apportionment of equivalent black carbon (eBC) to combustion sources from liquid fuels (mainly fossil; eBCLF) and solid fuels (mainly non-fossil; eBCSF) is commonly performed using data from Aethalometer instruments (AE approach). This study evaluates the feasibility of using AE data to determine the absorption Ångström exponents (AAEs) for liquid fuels (AAELF) and solid fuels (AAESF), which are fundamental parameters in the AE approach. AAEs were derived from Aethalometer data as the fit in a logarithmic space of the six absorption coefficients (470–950 nm) versus the corresponding wavelengths. The findings indicate that AAELF can be robustly determined as the 1st percentile (PC1) of AAE values from fits with R2 > 0.99. This R2-filtering was necessary to remove extremely low and noisy-driven AAE values commonly observed under clean atmospheric conditions (i.e., low absorption coefficients). Conversely, AAESF can be obtained from the 99th percentile (PC99) of unfiltered AAE values. To optimize the signal from solid fuel sources, winter data should be used to calculate PC99, whereas summer data should be employed for calculating PC1 to maximize the signal from liquid fuel sources. The derived PC1 (AAELF) and PC99 (AAESF) values ranged from 0.79 to 1.08, and 1.45 to 1.84, respectively. The AAESF values were further compared with those constrained using the signal at mass-to-charge 60 (m/z 60), a tracer for fresh biomass combustion, measured using aerosol chemical speciation monitor (ACSM) and aerosol mass spectrometry (AMS) instruments deployed at 16 sites. Overall, the AAESF values obtained from the two methods showed strong agreement, with a coefficient of determination (R2) of 0.78. However, uncertainties in both approaches may vary due to site-specific sources, and in certain environments, such as traffic-dominated sites, neither approach may be fully applicable.
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解决使用乙醇浓度计数据确定eBC源分配的最佳吸收Ångström指数(aae)值的优点和局限性
当量黑碳(eBC)对液体燃料(主要是化石燃料;eBCLF)和固体燃料(主要是非化石燃料;eBCSF通常使用来自血压计仪器(AE方法)的数据进行。本研究评估了利用声发射数据确定液体燃料(AAELF)和固体燃料(AAESF)的吸收Ångström指数(AAEs)的可行性,这是声发射方法的基本参数。aae是根据Aethalometer数据得出的,作为六个吸收系数(470-950 nm)相对于相应波长的对数空间的拟合。结果表明,AAELF可以通过R2 >拟合确定为AAE值的第一个百分位数(PC1);0.99. 这种r2过滤对于去除在清洁大气条件下(即低吸收系数)通常观察到的极低和噪声驱动的AAE值是必要的。反之,AAESF可以从未滤波的AAE值的第99百分位(PC99)得到。为了优化固体燃料源信号,应使用冬季数据计算PC99,而使用夏季数据计算PC1,以最大限度地利用液体燃料源信号。所得PC1 (AAELF)和PC99 (AAESF)值分别为0.79 ~ 1.08和1.45 ~ 1.84。AAESF值进一步与使用质量电荷比60 (m/z 60)信号约束的值进行了比较,这是一种新鲜生物质燃烧的示踪剂,使用部署在16个站点的气溶胶化学形态监测仪(ACSM)和气溶胶质谱仪(AMS)测量。总体而言,两种方法获得的AAESF值具有很强的一致性,决定系数(R2)为0.78。然而,两种方法的不确定性可能因具体地点的来源而异,并且在某些环境中,例如流量占主导地位的地点,两种方法都可能完全适用。
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来源期刊
Atmospheric Environment
Atmospheric Environment 环境科学-环境科学
CiteScore
9.40
自引率
8.00%
发文量
458
审稿时长
53 days
期刊介绍: Atmospheric Environment has an open access mirror journal Atmospheric Environment: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Atmospheric Environment is the international journal for scientists in different disciplines related to atmospheric composition and its impacts. The journal publishes scientific articles with atmospheric relevance of emissions and depositions of gaseous and particulate compounds, chemical processes and physical effects in the atmosphere, as well as impacts of the changing atmospheric composition on human health, air quality, climate change, and ecosystems.
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