Department of Environmental Health, Harvard School of Public Health , Boston, MA, USA.
School of Public Policy and Government, Fundação Getúlio Vargas , Brasília Distrito Federal, Brazil.
J Air Waste Manag Assoc. 2020 Jul;70(7):700-707. doi: 10.1080/10962247.2020.1766597.
Ultrafine particles (UFPs) pose a human health risk as they can penetrate deep into the respiratory system. The Harvard supersite in Boston, MA provides one of the longest time series of UFP concentrations. This study examined the hypothesis that long-term reductions in PM mass and sulfur have influenced UFP trends by limiting the ability of UFPs to coagulate onto the accumulation mode via polydisperse coagulation with larger particles. The study used Generalized Additive Models (GAMs) to assess whether changes in PM mass and sulfur concentrations resulted in smaller than expected (assuming no change in PM mass or sulfur) decreases in daily UFP trends over the 20-year period from 1999 to 2018. The impact of PM mass and sulfur changes were represented as UFP penalties. Bootstrapping was applied to calculate standard errors for the different trend and penalty estimates. Results showed that PM mass and sulfur concentrations declined significantly over the study period. The analysis found an estimated 7.3% (95% CI: 3.5, 11.1%) UFP penalty due to long-term PM mass trends, and a 9.9% (95% CI: 6.2, 13.7%) UFP penalty due to long-term sulfur trends. Findings from this study suggest that future UFP control efforts should account for the role of PM mass and sulfur changes.
Using one of the longest available time series of UFP concentrations (1999 to 2018), this study examined the hypothesis that long-term trends of PM mass and sulfur concentrations have an impact on UFP trends. We found that PM mass and sulfur reductions had a small but significant impact, i.e., penalty, on UFP trends. Improved understanding of the impact of PM mass and sulfur concentrations on UFP trends can inform future air quality control efforts.
超细颗粒(UFPs)对人体健康构成威胁,因为它们可以深入穿透呼吸系统。马萨诸塞州波士顿的哈佛超级站点提供了最长的 UFPs 浓度时间序列之一。本研究检验了以下假设,即 PM 质量和硫的长期减少通过限制 UFPs 通过多分散凝聚与较大颗粒凝聚到积累模式的能力,从而影响 UFPs 趋势。该研究使用广义加性模型(GAMs)评估 PM 质量和硫浓度的变化是否导致每日 UFPs 趋势的下降幅度小于预期(假设 PM 质量或硫没有变化)在 1999 年至 2018 年的 20 年期间。PM 质量和硫变化的影响表示为 UFPs 罚款。采用自举法计算不同趋势和罚款估计值的标准误差。结果表明,在研究期间 PM 质量和硫浓度显著下降。分析发现,由于长期 PM 质量趋势,UFPs 估计有 7.3%(95%CI:3.5,11.1%)的罚款,由于长期硫趋势,UFPs 有 9.9%(95%CI:6.2,13.7%)的罚款。本研究结果表明,未来的 UFPs 控制工作应考虑 PM 质量和硫变化的作用。
本研究使用可获得的最长 UFPs 浓度时间序列之一(1999 年至 2018 年),检验了以下假设,即 PM 质量和硫浓度的长期趋势对 UFPs 趋势有影响。我们发现 PM 质量和硫的减少对 UFPs 趋势有较小但显著的影响,即罚款。更好地了解 PM 质量和硫浓度对 UFPs 趋势的影响可以为未来的空气质量控制工作提供信息。