Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, 2121 Nicosia, Cyprus.
Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, 2121 Nicosia, Cyprus.
Sci Total Environ. 2023 Oct 1;893:164741. doi: 10.1016/j.scitotenv.2023.164741. Epub 2023 Jun 8.
A total of 348 daily PM samples were collected at an urban background site of Nicosia, capital of Cyprus, for one-year period (October 2018-October 2019) to assess the origin and sources of fine PM at the Eastern Mediterranean, a poorly characterized area of the world. The samples were analysed for water soluble ionic species, elemental and organic carbon, carbohydrates and trace metals, the combination of which were utilized to identify pollution sources by applying Positive Matrix Factorization (PMF). Six PM sources, namely long-range transport (LRT; 38 %), traffic (20 %), biomass burning (16 %), dust (10 %), sea salt (9 %) and heavy oil combustion (7 %), were identified. Despite sampling in an urban agglomeration, the chemical fingerprint of the aerosol is largely dictated by air mass origin rather than local sources. Springtime is characterized by the most elevated particulate levels due to the southerly air masses carrying particles from the Sahara Desert. Northerlies are observed throughout the year but are predominant during summer allowing the LRT source to peak (54 % during summer). Only during winter, due to extensive use of biomass combustion for domestic heating (36.6 % during winter), local sources dominate. A co-located online PMF source apportionment of submicron carbonaceous aerosols (Organic Aerosols, OA; Black Carbon) was performed by the means of an Aerosol Chemical Speciation Monitor (for OA) and an Aethalometer (for BC) for a four-month period. The comparison between the two methodologies allowed to better assess the robustness and limitations of the two methodologies. More specifically, LRT OA and biomass burning BC apportioned by the offline PMF showed a strong consistency with the online apportioned more oxidized oxygenated OA and BC, respectively; cross validating these sources. On the other hand, our traffic factor may contain additional hydrocarbon-like OA and BC from fossil fuel sources other than just vehicular emissions. Finally, the offline biomass burning OA source is likely to contain both primary and secondary OA.
在塞浦路斯首都尼科西亚的城市背景点,我们采集了总共 348 个每日 PM2.5 样本,对其进行为期一年(2018 年 10 月至 2019 年 10 月)的分析,以评估东地中海(世界上一个特征较差的地区)细颗粒物的来源。这些样本分析了水溶性离子物种、元素和有机碳、碳水化合物和痕量金属,通过应用正矩阵因子化(PMF)将这些组合起来用于识别污染源。确定了 6 种 PM 源,即远距离传输(LRT;38%)、交通(20%)、生物质燃烧(16%)、扬尘(10%)、海盐(9%)和重油燃烧(7%)。尽管是在城市群中进行采样,但气溶胶的化学特征主要由气团来源决定,而不是由当地来源决定。由于南风携带撒哈拉沙漠的尘埃,春季颗粒物浓度最高。全年都有北风,但主要出现在夏季,使远距离传输源达到峰值(夏季占 54%)。只有在冬季,由于大量使用生物质燃烧来取暖(冬季占 36.6%),本地源才会占主导地位。在为期四个月的时间里,通过气溶胶化学特征在线监测仪(用于 OA)和黑碳光度计(用于 BC)对亚微米碳气溶胶(有机气溶胶,OA;黑碳)进行了在线 PMF 源分配。两种方法的比较使我们能够更好地评估两种方法的稳健性和局限性。具体来说,离线 PMF 分配的远距离传输 OA 和生物质燃烧 BC 与在线分配的更氧化的含氧 OA 和 BC 具有很强的一致性,分别验证了这些源。另一方面,我们的交通因子可能包含来自化石燃料源(不仅仅是车辆排放)的额外烃类 OA 和 BC。最后,离线生物质燃烧 OA 源可能既包含一次 OA 也包含二次 OA。