School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China; Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland.
School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; Atmospheric Environment Center, Joint Laboratory for International Cooperation on Climate and Environmental Change, Ministry of Education (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China.
Environ Int. 2022 Oct;168:107466. doi: 10.1016/j.envint.2022.107466. Epub 2022 Aug 13.
Biomass burning (BB) is an important contributor to the air pollution in Southeast Asia (SEA), but the emission sources remain great uncertainty. In this study, PM samples were collected from an urban (Chiang Mai University, CMU) and a rural (Nong Tao village, NT) site in Chiang Mai, Thailand from February to April (high BB season, HBB) and from June to September (low BB season, LBB) in 2018. Source apportionment of carbonaceous aerosols was carried out by Latin Hypercube Sampling (LHS) method incorporating the radiocarbon (C) and organic markers (e.g., dehydrated sugars, aromatic acids, etc.). Thereby, carbonaceous aerosols were divided into the fossil-derived elemental carbon (EC), BB-derived EC (EC), fossil-derived primary and secondary organic carbon (POC, SOC), BB-derived OC (OC) and the remaining OC (OC). The fractions of EC generally prevailed over EC throughout the year. OC was the dominant contributor to total carbon with a clear seasonal trend (65.5 ± 5.8 % at CMU and 79.9 ± 7.6 % at NT in HBB, and 39.1 ± 7.9 % and 42.8 ± 4.6 % in LBB). The distribution of POC showed a spatial difference with a higher contribution at CMU, while SOC displayed a temporal variation with a greater fraction in LBB. OC was originated from biogenic secondary aerosols, cooking emissions and bioaerosols as resolved by the principal component analysis with multiple liner regression model. The OC contributed within a narrow range of 6.6 %-14.4 %, despite 34.9 ± 7.9 % at NT in LBB. Our results highlight the dominance of BB-derived fractions in carbonaceous aerosols in HBB, and call the attention to the higher production of SOC in LBB.
生物质燃烧(BB)是东南亚(SEA)空气污染的一个重要贡献源,但排放源仍存在很大的不确定性。本研究于 2018 年 2 月至 4 月(高生物质燃烧季节,HBB)和 6 月至 9 月(低生物质燃烧季节,LBB)在泰国清迈的城市(清迈大学,CMU)和农村(农陶村,NT)采集了 PM 样品。采用拉丁超立方采样(LHS)法结合放射性碳(C)和有机示踪剂(如脱水糖、芳香酸等)对碳质气溶胶进行源解析。因此,将碳质气溶胶分为化石源元素碳(EC)、生物质燃烧源 EC(EC)、化石源一次和二次有机碳(POC、SOC)、生物质燃烧源 OC(OC)和剩余 OC(OC)。EC 各分量在全年普遍占主导地位。OC 是总碳的主要贡献者,具有明显的季节性趋势(在 HBB 中,CMU 为 65.5±5.8%,NT 为 79.9±7.6%,在 LBB 中为 39.1±7.9%和 42.8±4.6%)。POC 的分布存在空间差异,在 CMU 有较高的贡献,而 SOC 则表现出时间变化,在 LBB 中有更大的比例。通过主成分分析与多元线性回归模型,OC 被解析为生物成因二次气溶胶、烹饪排放和生物气溶胶。OC 的贡献范围狭窄,在 6.6%-14.4%之间,尽管 LBB 中 NT 为 34.9±7.9%。研究结果突出了生物质燃烧源分数在 HBB 中碳质气溶胶的主导地位,并引起了对 LBB 中 SOC 更高产量的关注。