Farrell Sara L, Pye Havala O T, Gilliam Robert, Pouliot George, Huff Deanna, Sarwar Golam, Vizuete William, Briggs Nicole, Duan Fengkui, Ma Tao, Zhang Shuping, Fahey Kathleen
Department of Environmental Sciences and Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA.
Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27709, USA.
Atmos Chem Phys. 2025 Mar;25(5):3287-3312. doi: 10.5194/acp-25-3287-2025. Epub 2025 Mar 18.
A portion of Alaska's Fairbanks North Star Borough was designated as nonattainment for the 2006 24 h fine particulate matter 2.5 μm or less in diameter (PM) National Ambient Air Quality Standards (NAAQS) in 2009. PM NAAQS exceedances in Fairbanks mainly occur during dark and cold winters, when temperature inversions form and trap high emissions at the surface. Sulfate ( ), often the second-largest contributor to PM mass during these wintertime PM episodes, is underpredicted by atmospheric chemical transport models (CTMs). Most CTMs account for primary and secondary formed via gas-phase oxidation of sulfur dioxide ( ) and in-cloud aqueous oxidation of dissolved S(IV). Dissolution and reaction of in aqueous aerosols are generally not included in CTMs but can be represented as heterogeneous reactive uptake and may help better represent the high concentrations observed during Fairbanks winters. In addition, hydroxymethanesulfonate (HMS), a particulate sulfur species sometimes misidentified as , is known to form during Fairbanks winters. Heterogeneous formation of and HMS in aerosol liquid water (ALW) was implemented in the Community Multiscale Air Quality (CMAQ) modeling system. CMAQ simulations were performed for wintertime PM episodes in Fairbanks (2008) as well as over the Northern Hemisphere and Contiguous United States (CONUS) for 2015-2016. The added heterogeneous sulfur chemistry reduced model mean sulfate bias by ~0.6 μg m during a cold winter PM episode in Fairbanks, AK. Improvements in model performance are also seen in Beijing during wintertime haze events (reducing model mean sulfate bias by ~2.9 μgS m). This additional sulfur chemistry also improves modeled summertime bias in the southeastern US, with implications for future modeling of biogenic organosulfates.
2009年,阿拉斯加费尔班克斯北极星自治市镇的一部分地区被认定未达到2006年直径2.5微米及以下细颗粒物(PM)的国家环境空气质量标准(NAAQS)。费尔班克斯的PM NAAQS超标主要发生在黑暗寒冷的冬季,此时会形成温度逆温,将高排放物困在地表。硫酸盐( )在这些冬季PM事件中通常是PM质量的第二大贡献者,但大气化学传输模型(CTMs)对其预测不足。大多数CTMs考虑了通过二氧化硫( )的气相氧化和溶解态S(IV)的云内水相氧化形成的一次 和二次 。CTMs通常不包括 在水性气溶胶中的溶解和反应,但可以表示为非均相反应吸收,这可能有助于更好地反映费尔班克斯冬季观测到的高 浓度。此外,羟甲基磺酸酯(HMS)是一种有时被误认作 的颗粒态硫物种,已知在费尔班克斯冬季会形成。在社区多尺度空气质量(CMAQ)建模系统中实现了 和HMS在气溶胶液态水(ALW)中的非均相形成。对费尔班克斯2008年冬季的PM事件以及2015 - 2016年北半球和美国本土(CONUS)进行了CMAQ模拟。在阿拉斯加费尔班克斯寒冷的冬季PM事件中,添加的非均相硫化学使模型平均硫酸盐偏差降低了约0.6微克/立方米。在北京冬季霾事件期间,模型性能也有所改善(模型平均硫酸盐偏差降低了约2.9微克S/立方米)。这种额外的硫化学还改善了美国东南部夏季 偏差的模拟结果,对未来生物源有机硫酸盐的建模有影响。