计算气溶胶质量平衡中有机碳与有机物的换算系数

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
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引用次数: 0

摘要

基于过滤样本的气溶胶质量平衡研究需要一个换算系数,以便从热光学方法测量的有机碳(OC)得出有机物(OM)浓度。该系数可间接了解化学传输模型所需的 OM 分子结构。通过将 PM2.5 样品中的未识别化学组分与热光学 OC 浓度联系起来,利用 2012 年至 2021 年期间法国五个农村背景站点的数据计算了特定站点和季节的 OC 与 OM 比率(fOM:OC)。此外,还使用了多种线性公式来评估可能出现的伪影对 fOM:OC 测定结果的影响。然后将得出的 fOM:OC 与在线气溶胶质谱数据得出的其他估计值进行比较,结果显示两者具有良好的一致性。考虑到季节性、气象条件和大气氧化潜能等因素,讨论了 fOM:OC 的时空变异性。建立了线性混合效应模型,以定量确定影响法国农村背景站点 fOM:OC 的驱动因素。臭氧和相对湿度都是对 fOM:OC 有显著统计学影响的变量,这表明光氧化和含水量的贡献差异可以解释在法国农村背景观测点观察到的 fOM:OC 的变化。特定地点的 fOM:OC 可产生更准确的 PM2.5 质量闭合,因此建议在质量平衡工作中使用。准确的 fOM:OC 对于保持 OM 时间序列的一致性至关重要,尤其是在基于滤波的时间序列可能被最先进的在线仪器所取代的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Calculations of the conversion factor from organic carbon to organic matter for aerosol mass balance

Calculations of the conversion factor from organic carbon to organic matter for aerosol mass balance

Aerosol mass balance studies based on filter samples require a conversion factor to derive organic matter (OM) concentrations from organic carbon (OC) measurements from thermo-optical methods. This factor provides indirect insights on the molecular structure of OM needed in chemical transport models. Site- and season-specific ratios of OC to OM (fOM:OC) were calculated using data from five rural background sites in France between 2012 and 2021 by relating the unidentified chemical fraction in PM2.5 samples to thermo-optical OC concentrations. Further, multiple linear formulations were used to evaluate the impact of possible artefacts on the determination of fOM:OC. The resulting fOM:OC was then compared to other estimates derived from online aerosol mass spectrometry data, showing good agreement. The spatial and temporal variability in fOM:OC is discussed considering factors such as seasonality, meteorological conditions and the atmospheric oxidative potential. Linear-mixed effect models were formulated to quantitatively determine the drivers which influence the fOM:OC at the French rural background sites. Both ozone and relative humidity were variables with statistically significant effects on fOM:OC, indicating that differences in the contributions from both photooxidation and water content, explain the variability in fOM:OC observed at the French rural background sites. Site-specific fOM:OC yielded more accurate PM2.5 mass closure and are therefore recommended in mass-balance exercises. Accurate fOM:OC are critical to maintain consistency in OM time series, especially in cases where filter-based time series may be replaced by state-of-the-art online instrumentation.

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来源期刊
Atmospheric Pollution Research
Atmospheric Pollution Research ENVIRONMENTAL SCIENCES-
CiteScore
8.30
自引率
6.70%
发文量
256
审稿时长
36 days
期刊介绍: Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.
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