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通过基于图像的反射率分析滤膜上的黑碳。

Analysis of black carbon on filters by image-based reflectance.

作者信息

Jeronimo Matthew, Stewart Quinn, Weakley Andrew T, Giacomo Jason, Zhang Xiaolu, Hyslop Nicole, Dillner Ann M, Shupler Matthew, Brauer Michael

机构信息

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, V6T1Z3, Canada.

Air Quality Research Center, University of California - Davis, Davis, California 95616, United States.

出版信息

Atmos Environ (1994). 2020 Feb 15;223. doi: 10.1016/j.atmosenv.2020.117300. Epub 2020 Jan 20.

Abstract

Black carbon (BC) is an important contributor to global particulate matter emissions. BC is associated with adverse health effects, and an important short-lived climate pollutant. Here, we describe a low cost method of analysis that utilizes images of PTFE filters taken with a digital camera to estimate BC content on filters. This method is compared with two existing optical methods for analyzing BC (Smokestain Reflectance and Hybrid Integrating Plate and Sphere System) as well as the standard chemical analysis method for determining elemental carbon (Thermal-Optical Reflectance). In comparisons of aerosol generated under controlled conditions (using an inverted diffusion flame burner to cover a range of mass loading and reflectance levels) (N=12) and in field samples collected from residential solid fuel combustion in China and India (N=50), the image-based method was found to correlate well (normalized RMSE <10% for all comparisons) with existing methods. A correlational analysis of field samples between the optical methods and Fourier-transform infrared spectroscopy indicated that the same functional groups were predominantly responsible for light attenuation in each optical method. This method offers reduced equipment cost, rapid analysis time, and is available at no cost, which may facilitate more measurement of BC where PM mass concentrations are already measured, especially in low income countries or other sampling efforts with limited resources.

摘要

黑碳(BC)是全球颗粒物排放的重要贡献者。黑碳与不良健康影响相关,是一种重要的短期气候污染物。在此,我们描述了一种低成本分析方法,该方法利用数码相机拍摄的聚四氟乙烯滤膜图像来估算滤膜上的黑碳含量。将该方法与两种现有的分析黑碳的光学方法(烟渍反射率法和混合积分板与球体系统法)以及测定元素碳的标准化学分析方法(热光反射率法)进行了比较。在对受控条件下产生的气溶胶(使用倒置扩散火焰燃烧器以涵盖一系列质量负荷和反射率水平)(N = 12)以及从中国和印度的居民固体燃料燃烧中采集的现场样本(N = 50)的比较中,发现基于图像的方法与现有方法具有良好的相关性(所有比较的归一化均方根误差<10%)。对光学方法与傅里叶变换红外光谱之间的现场样本进行的相关分析表明,相同的官能团在每种光学方法中主要负责光衰减。该方法降低了设备成本,缩短了分析时间,并且免费可用,这可能有助于在已经测量了PM质量浓度的地方更多地测量黑碳,特别是在低收入国家或其他资源有限的采样工作中。

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