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使用基于蒙特卡洛的定量不确定性分析,开发在用沥青屋顶二次有机气溶胶前体的排放因子。

Development of emission factors for secondary organic aerosol precursors from in-service asphalt roofs using Monte Carlo-based quantitative uncertainty analysis.

作者信息

Fayerweather William E, Pramounmat Nuttanit, Higginbotham Miriam M, Trumbore David C

机构信息

Occupational/Environmental Health, Independent Statistical and Epidemiological Consultant United States, Maumee, Ohio.

Science & Technology Center, Owens Corning, Granville, Ohio.

出版信息

J Occup Environ Hyg. 2025 Jan;22(1):37-51. doi: 10.1080/15459624.2024.2420994. Epub 2024 Nov 25.

DOI:10.1080/15459624.2024.2420994
PMID:39586037
Abstract

Several recent studies have examined the role of intermediate/semi-volatile organic compound emissions from paving and roofing asphalts in the formation of secondary organic aerosols (SOAs), which constitute a portion of fine atmospheric particulate matter. These studies have yielded divergent results. Building upon this research, this study aims to develop more representative emission factors for estimating the contribution of roofing materials to SOA formation. This was accomplished by investigating the impact on SOA formation of variables such as rooftop temperatures, solar insolation values, study durations, and the physical and chemical properties of the roofing materials tested. To quantify the influence of these variables, data from existing literature were drawn, and limited experimental lab work was conducted. Monte Carlo-based quantitative uncertainty and sensitivity analyses were completed to estimate more representative emission factors, generate accompanying uncertainty ranges, and rank critical parameters driving emissions that should be considered in any follow-up research. The emission factors developed in this study resulted in a central tendency estimate of 1.7 × 10 Gg/yr SOA for the 720 hottest hours in Southern California, with a 90% confidence interval of 6.0 × 10 to 3.4 × 10 Gg/yr. For the 4,320 annual daylight hours, the central tendency estimate is 2.1 × 10 Gg/yr, with a 90% confidence interval of 4.7 × 10 to 5.1 × 10 Gg/yr. To provide perspective, the results of this study indicate that the SOA contribution to in-service emissions from asphalt roofing surfaces is four to five orders of magnitude lower than that reported for mobile diesel and gasoline sources.

摘要

最近的几项研究探讨了铺路和屋面沥青排放的中间/半挥发性有机化合物在二次有机气溶胶(SOA)形成中的作用,二次有机气溶胶是大气细颗粒物的一部分。这些研究得出了不同的结果。基于这项研究,本研究旨在制定更具代表性的排放因子,以估算屋面材料对SOA形成的贡献。这是通过研究屋顶温度、日照值、研究持续时间以及所测试屋面材料的物理和化学性质等变量对SOA形成的影响来实现的。为了量化这些变量的影响,我们借鉴了现有文献的数据,并进行了有限的实验室实验工作。完成了基于蒙特卡洛的定量不确定性和敏感性分析,以估算更具代表性的排放因子,生成相应的不确定性范围,并对后续研究中应考虑的驱动排放的关键参数进行排序。本研究中开发的排放因子得出,南加州720个最热小时的SOA年排放量的中心趋势估计值为1.7×10 Gg/年,90%置信区间为6.0×10至3.4×10 Gg/年。对于每年4320个日照小时,中心趋势估计值为2.1×10 Gg/年,90%置信区间为4.7×10至5.1×10 Gg/年。为了提供参考,本研究结果表明,SOA对沥青屋面表面在役排放的贡献比移动柴油和汽油源报告的贡献低四到五个数量级。

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