University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.
Majmaah University, Department of Civil and Environmental Engineering, Majmaah, Riyadh, Saudi Arabia.
Environ Pollut. 2022 Dec 1;314:120264. doi: 10.1016/j.envpol.2022.120264. Epub 2022 Sep 23.
Source apportionment analyses are essential tools to determine sources of ambient coarse particles (2.5 <d < 10 μm) and to disentangle their association and contribution from other pollutants, particularly PM (<2.5 μm). A semi-continuous sampling campaign was conducted using two virtual impactors/concentrators to enhance coarse particulate matter concentrations coupled with an online thermal-optical EC/OC monitor to quantify coarse PM-bound organic carbon volatility fractions (OC-OC) in central Los Angeles during the winter, spring, and summer of 2021. The total OC and its volatility fraction concentrations, meteorological parameters (i.e., wind speeds and relative humidity), vehicle miles traveled (VMT), and gaseous source tracers (i.e., O and NO) were used as inputs to positive matrix factorization (PMF) model. A 3-factor solution identified vehicular emissions (accounting for 46% in the cold phase and 26% in the warm phase of total coarse OC concentrations), secondary organic carbon (27% and 37%), and re-suspended dust (27% and 37%) as the primary organic carbon sources of coarse PM. The re-suspended dust factor showed a higher contribution of more volatile organic carbons (i.e., OC up to 77%) due to their re-distribution on dust particles, whereas the SOA factor was the dominant contributor to less volatile organic aerosols (i.e., OC up to 54%), which are the product of reactions at high relative humidity (RH). Our findings revealed that the total OC concentrations in the coarse size range were comparable with those of previous studies in the area, underscoring the challenges in curtailing coarse PM-bound OC sources and the necessity of developing effective emission control regulations on coarse PM. The results from the current study provide insights into the seasonal and temporal variation of total OC and its volatility fractions in Los Angeles.
来源分配分析对于确定环境粗颗粒物(2.5 < d < 10 μm)的来源以及厘清其与其他污染物(尤其是 PM<2.5 μm)的关联和贡献至关重要。本研究在 2021 年冬季、春季和夏季,于洛杉矶中心使用两个虚拟撞击器/浓缩器进行了半连续采样,以增强粗颗粒物浓度,并结合在线热光 EC/OC 监测仪,定量粗 PM 结合态有机碳挥发性分数(OC-OC)。总 OC 及其挥发性分数浓度、气象参数(即风速和相对湿度)、车辆行驶里程(VMT)和气态源示踪剂(即 O 和 NO)被用作正矩阵因子化(PMF)模型的输入。一个 3 因子解决方案确定了车辆排放(占冷相总粗 OC 浓度的 46%,占暖相总粗 OC 浓度的 26%)、二次有机碳(27%和 37%)和再悬浮粉尘(27%和 37%)是粗 PM 中主要的有机碳源。再悬浮粉尘因子由于其在粉尘颗粒上的重新分布,显示出更高比例的更易挥发有机碳(即 OC 高达 77%),而 SOA 因子是较不易挥发气溶胶(即 OC 高达 54%)的主要贡献者,这是在高相对湿度(RH)下反应的产物。本研究结果表明,粗粒径范围内的总 OC 浓度与该地区以往研究相当,突显了控制粗 PM 结合态 OC 源的挑战,以及制定有效的粗 PM 排放控制法规的必要性。本研究结果提供了洛杉矶总 OC 及其挥发性分数季节性和时间变化的见解。