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The Fort Collins commuter study: Variability in personal exposure to air pollutants by microenvironment.科林斯堡通勤者研究:微环境中个体对空气污染物暴露的可变性。
Indoor Air. 2019 Mar;29(2):231-241. doi: 10.1111/ina.12533. Epub 2019 Jan 25.
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The Fort Collins Commuter Study: Impact of route type and transport mode on personal exposure to multiple air pollutants.柯林斯堡通勤者研究:路线类型和交通方式对个人接触多种空气污染物的影响。
J Expo Sci Environ Epidemiol. 2016 Jun;26(4):397-404. doi: 10.1038/jes.2015.68. Epub 2015 Oct 28.
3
Spatiotemporally resolved black carbon concentration, schoolchildren's exposure and dose in Barcelona.巴塞罗那时空分辨的黑碳浓度、学童的暴露水平和剂量。
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Personal exposure to black carbon during commuting in peak and off-peak hours in Shanghai.上海市通勤高峰期和非高峰期个人暴露于黑碳的情况。
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Spatial variation of ultrafine particles and black carbon in two cities: results from a short-term measurement campaign.两城市中超细颗粒和黑碳的空间变化:短期测量活动的结果。
Sci Total Environ. 2015 Mar 1;508:266-75. doi: 10.1016/j.scitotenv.2014.11.088. Epub 2014 Dec 5.
6
Blood pressure changes in association with black carbon exposure in a panel of healthy adults are independent of retinal microcirculation.在一组健康成年人中,与黑碳暴露相关的血压变化与视网膜微循环无关。
Environ Int. 2015 Feb;75:81-6. doi: 10.1016/j.envint.2014.11.006. Epub 2014 Nov 15.
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Applicability of a noise-based model to estimate in-traffic exposure to black carbon and particle number concentrations in different cultures.基于噪声模型的适用性,以估计不同文化中道路交通暴露的黑碳和颗粒物数浓度。
Environ Int. 2015 Jan;74:89-98. doi: 10.1016/j.envint.2014.10.002. Epub 2014 Oct 30.
8
Validation of MicroAeth® as a Black Carbon Monitor for Fixed-Site Measurement and Optimization for Personal Exposure Characterization.验证MicroAeth®作为固定站点测量的黑碳监测仪以及对个人暴露特征进行优化
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Impact of bicycle route type on exposure to traffic-related air pollution.自行车道类型对交通相关空气污染暴露的影响。
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10
Methodology for setup and data processing of mobile air quality measurements to assess the spatial variability of concentrations in urban environments.移动空气质量测量的设置和数据处理方法,以评估城市环境中浓度的空间变异性。
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使用黑碳仪评估个人接触黑碳的情况时,准确的滤膜负载校正至关重要。

An accurate filter loading correction is essential for assessing personal exposure to black carbon using an Aethalometer.

作者信息

Good Nicholas, Mölter Anna, Peel Jennifer L, Volckens John

机构信息

Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.

Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.

出版信息

J Expo Sci Environ Epidemiol. 2017 Jul;27(4):409-416. doi: 10.1038/jes.2016.71. Epub 2016 Dec 21.

DOI:10.1038/jes.2016.71
PMID:28000686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5693258/
Abstract

The AE51 micro-Aethalometer (microAeth) is a popular and useful tool for assessing personal exposure to particulate black carbon (BC). However, few users of the AE51 are aware that its measurements are biased low (by up to 70%) due to the accumulation of BC on the filter substrate over time; previous studies of personal black carbon exposure are likely to have suffered from this bias. Although methods to correct for bias in micro-Aethalometer measurements of particulate black carbon have been proposed, these methods have not been verified in the context of personal exposure assessment. Here, five Aethalometer loading correction equations based on published methods were evaluated. Laboratory-generated aerosols of varying black carbon content (ammonium sulfate, Aquadag and NIST diesel particulate matter) were used to assess the performance of these methods. Filters from a personal exposure assessment study were also analyzed to determine how the correction methods performed for real-world samples. Standard correction equations produced correction factors with root mean square errors of 0.10 to 0.13 and mean bias within ±0.10. An optimized correction equation is also presented, along with sampling recommendations for minimizing bias when assessing personal exposure to BC using the AE51 micro-Aethalometer.

摘要

AE51 微型黑碳仪是评估个人接触颗粒态黑碳(BC)的一种常用且实用的工具。然而,很少有 AE51 的用户意识到,由于 BC 在滤膜基质上随时间积累,其测量结果存在偏低偏差(高达 70%);先前关于个人黑碳暴露的研究可能也受到了这种偏差的影响。尽管已经提出了校正微型黑碳仪颗粒态黑碳测量偏差的方法,但这些方法尚未在个人暴露评估的背景下得到验证。在此,对基于已发表方法的五个黑碳仪负载校正方程进行了评估。使用实验室生成的不同黑碳含量的气溶胶(硫酸铵、石墨乳和美国国家标准与技术研究院柴油颗粒物)来评估这些方法的性能。还对一项个人暴露评估研究中的滤膜进行了分析,以确定校正方法对实际样本的效果。标准校正方程产生的校正因子的均方根误差为 0.10 至 0.13,平均偏差在±0.10 以内。还提出了一个优化的校正方程,以及在使用 AE51 微型黑碳仪评估个人 BC 暴露时最小化偏差的采样建议。