Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong, China.
North China Sea Marine Forecasting Center of State Ocean Administration, Qingdao, Shandong, China.
Sci Total Environ. 2023 Feb 1;858(Pt 2):159948. doi: 10.1016/j.scitotenv.2022.159948. Epub 2022 Nov 3.
Source apportionments of urban aerosols identified with positive matrix factorization (PMF) are sensitive to input variables. So far, total elements were frequently included as effective factors in PMF-based source apportionment. We investigated the advances to involve soluble parts of elements in the source apportionment with four data sets of PM composition observed at a coastal city (Qingdao) in northern China: water-soluble ions plus organic and elemental carbon (IC set), the IC set plus total elements (ICTE set), the IC set plus soluble elements (ICSE set), and the IC set plus both total elements and soluble elements (ICAE set). The apportionments of six sources, including secondary sulfate, secondary nitrate, secondary oxalate, sea salt, biomass burning and dust, were identified with the IC set. In comparison, pollutants from vehicle + coal combustion, ship emissions, waste incineration and industrial activities were also identified with the ICTE, ICSE, or ICAE sets. We found that the PMF solutions of the ICAE set could distinguish aged and fresh dust, and identify fly ash and aged pollutants from industrial sources. The profiles and corresponding time series of vehicle + coal combustion, secondary aerosols, ship emissions, sea salt, and biomass burning emissions identified with the four data sets were very similar, while discrepancies were encountered for waste incineration, dust, and industrial sources. These results indicate the benefits and potentials with total and soluble elements involved in PMF-based source apportionments.
利用正定矩阵因子分解(PMF)进行的城市气溶胶源解析对输入变量敏感。到目前为止,总元素经常被纳入基于 PMF 的源解析的有效因素中。我们调查了将元素的可溶部分纳入源解析的进展,使用了中国北方沿海城市(青岛)观测到的四个 PM 成分数据集:水溶性离子加有机和元素碳(IC 集)、IC 集加总元素(ICTE 集)、IC 集加可溶元素(ICSE 集)和 IC 集加总元素和可溶元素(ICAE 集)。利用 IC 集识别了六个源的分配,包括二次硫酸盐、二次硝酸盐、二次草酸盐、海盐、生物质燃烧和灰尘。相比之下,利用 ICTE、ICSE 或 ICAE 集也可以识别来自车辆+煤炭燃烧、船舶排放、废物焚烧和工业活动的污染物。我们发现,ICAE 集的 PMF 解决方案可以区分老化和新鲜灰尘,并识别来自工业源的粉煤灰和老化污染物。利用四个数据集识别的车辆+煤炭燃烧、二次气溶胶、船舶排放、海盐和生物质燃烧排放的特征和相应时间序列非常相似,而废物焚烧、灰尘和工业源则存在差异。这些结果表明,将总元素和可溶元素纳入基于 PMF 的源解析中具有益处和潜力。