University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.
University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.
Sci Total Environ. 2022 Sep 10;838(Pt 2):156215. doi: 10.1016/j.scitotenv.2022.156215. Epub 2022 May 25.
As a primary component of coarse particulate matter (PM), ambient mineral dust has been linked to adverse health effects. Los Angeles, the largest metropolitan urban area of the United States, is impacted by both windblown and localized sources of mineral dust, often internally mixed with black carbon. The estimation of mineral dust concentrations with a high time resolution becomes critical in improving our understanding of its sources and temporal trends. Using Aethalometers combined with a high-volume virtual impactor (VI) to enrich coarse (2.5 <dp < 10 μm) particles, the light absorption and mass concentration of mineral dust were estimated in real-time during summer, fall, and winter over 2020-2021. The concentration-enriched coarse PM was collected on Teflon filters, and its chemical composition in terms of trace elements and metals was chemically quantified. The high time-resolution measurements enabled us to calculate the absorption coefficient of enriched dust particles by subtracting the light absorption of the post-VI coarse PM from that of the PM aerosol fraction to reduce the impact of stronger light absorbers in ambient PM. Mineral dust was more prevalent during the fall and winter campaigns (i.e., 19.3 and 11.4 μg/m, respectively), lower concentrations were observed during the summer campaign (i.e., 8.50 μg/m). The calculated absorption Ångström exponent (AAE) was 2.18, highlighting the presence of dust particles during the sampling period. The dust mass absorption coefficient was estimated to be 2.7 ± 1.6 Mm at 370 nm and 0.41 ± 0.16 Mm at 880 nm wavelengths, respectively. The validation of the proposed approach was investigated by comparing the evaluated mineral dust mass concentrations in this study with the reported coarse PM concentrations by the California Air Resources Board (CARB). The results reported by the optical-based approach with high temporal resolution can provide crucial information on identifying sources of mineral dust in urban areas.
作为粗颗粒物(PM)的主要成分之一,环境矿物粉尘已被证实与不良健康影响有关。美国最大的都会区洛杉矶受到风成和局部来源的矿物粉尘的影响,这些粉尘通常与黑碳内部混合。以高时间分辨率估算矿物粉尘浓度对于提高我们对其来源和时间趋势的理解至关重要。本研究采用 Aethalometers 结合大容量虚拟撞击器(VI)浓缩粗颗粒(2.5<dp<10μm),在 2020 年至 2021 年的夏季、秋季和冬季实时估算矿物粉尘的光吸收和质量浓度。浓缩后的粗 PM 被收集在聚四氟乙烯(Teflon)滤纸上,并通过化学定量分析其痕量元素和金属的化学成分。高时间分辨率测量使我们能够通过从 PM 气溶胶部分的光吸收中减去 VI 后的粗 PM 的光吸收来计算富集粉尘颗粒的吸收系数,以减少环境 PM 中较强光吸收剂的影响。矿物粉尘在秋季和冬季的出现频率更高(即分别为 19.3 和 11.4μg/m),夏季的浓度较低(即 8.50μg/m)。计算出的吸收 Ångström 指数(AAE)为 2.18,突出了采样期间粉尘颗粒的存在。在 370nm 波长下,粉尘质量吸收系数估计为 2.7±1.6Mm,在 880nm 波长下估计为 0.41±0.16Mm。通过将本研究中评估的矿物粉尘质量浓度与加利福尼亚空气资源委员会(CARB)报告的粗 PM 浓度进行比较,研究了所提出方法的验证情况。高时间分辨率的光学方法可以提供有关识别城市地区矿物粉尘来源的关键信息。