广州市含铁颗粒混合状态及化学特征
Mixing States and Chemical Characteristics of Fe-Containing Particles in Guangzhou
DOI: 10.12677/aep.2024.146163, PDF,    国家科技经费支持
作者: 鲁 楠:广州禾信仪器股份有限公司,广东 广州;廉秀峰*:广州禾信仪器股份有限公司,广东 广州;暨南大学,环境与气候学院,质谱仪器与大气环境研究所,粤港澳环境质量协同创新联合实验室,广东省大气污染在线源解析系统工程技术研究中心,广东 广州
关键词: 广州Fe颗粒物单颗粒气溶胶质谱仪(SPAMS)Guangzhou Fe Particulate Matter Single Particle Aerosol Mass Spectrometer (SPAMS)
摘要: 本研究利用单颗粒气溶胶质谱仪(SPAMS)于2021年1月1日至31日在广州市对大气中含铁颗粒的化学组成、混合状态、来源及其在污染过程中的演变特征进行了研究。结果表明,含铁颗粒主要分为Fe-BB、Fe-C、Fe-D、Fe-HM、Fe-N、Fe-S、Fe-SN等七种类型,以Fe-N、Fe-SN和Fe-HM三类颗粒为主,这三类颗粒在所有含铁颗粒中数量占比达85%。大部分含铁颗粒与二次无机离子尤其是硝酸盐混合,部分含铁颗粒与生物质燃烧源特征离子有机氮、元素碳、沙尘特征组分或重金属混合。在1月13~16日PM2.5重污染过程期间,发生了三次PM2.5突升,分别为污染前期、中期和后期。在污染前期和中期,PM2.5浓度升高受到来自工业排放和机动车尾气的一次排放的含铁颗粒的影响,在污染后期,受到含铁颗粒上硝酸盐生成的影响。
Abstract: To investigate the particle types, mixing states, sources and evolution during pollution of Fe-containing particles, a single particle aerosol mass spectrometer was used to perform an campaign in Guangzhou from January 1 to 31, 2021. The results showed that the Fe-containing particles were classified as Fe-BB, Fe-C, Fe-D, Fe-HM, Fe-N, Fe-S and Fe-SN, which Fe-N, Fe-SN and Fe-HM was the main types, accounted for 85% of all Fe-containing particles. Most of the Fe-containing particles were mixed with secondary inorganic ions, especially nitrate, and some were mixed with the characteristic ions of biomass combustion of organic nitrogen, elemental carbon, dust characteristic components or heavy metals. During the heavy PM2.5 pollution event from January 13 to 16, three spikes in PM2.5 concentrations occurred, which were divided into the early, middle and later stages of pollution. In the early and middle stages of pollution, the increase of PM2.5 concentration was influenced by Fe-containing particles from primary emissions of industrial and vehicle. In the later stages of pollution, the formation of nitrate was the main driver.
文章引用:鲁楠, 廉秀峰. 广州市含铁颗粒混合状态及化学特征[J]. 环境保护前沿, 2024, 14(6): 1290-1298. https://doi.org/10.12677/aep.2024.146163

参考文献

[1] Xiu, P. and Chai, F. (2021) Impact of Atmospheric Deposition on Carbon Export to the Deep Ocean in the Subtropical Northwest Pacific. Geophysical Research Letters, 48, e2020GL089640. [Google Scholar] [CrossRef
[2] Shi, J., Guan, Y., Ito, A., Gao, H., Yao, X., Baker, A.R., et al. (2020) High Production of Soluble Iron Promoted by Aerosol Acidification in Fog. Geophysical Research Letters, 47, e2019GL086124. [Google Scholar] [CrossRef
[3] 王玥, 张银晓, 齐冰, 等. 杭州市大气细颗粒物中铁溶解度的变化特征及影响因素[J]. 中国环境科学, 2023, 43(1): 115-121.
[4] Schroth, A.W., Crusius, J., Sholkovitz, E.R. and Bostick, B.C. (2009) Iron Solubility Driven by Speciation in Dust Sources to the Ocean. Nature Geoscience, 2, 337-340. [Google Scholar] [CrossRef
[5] 齐宇轩, 周杨. 大气气溶胶中的铁及其溶解度研究综述[J]. 海洋气象学报, 2021, 41(2): 1-13.
[6] Zhang, G., Bi, X., Lou, S., Li, L., Wang, H., Wang, X., et al. (2014) Source and Mixing State of Iron-Containing Particles in Shanghai by Individual Particle Analysis. Chemosphere, 95, 9-16. [Google Scholar] [CrossRef] [PubMed]
[7] Dall’Osto, M., Beddows, D.C.S., Harrison, R.M. and Onat, B. (2016) Fine Iron Aerosols Are Internally Mixed with Nitrate in the Urban European Atmosphere. Environmental Science & Technology, 50, 4212-4220. [Google Scholar] [CrossRef] [PubMed]
[8] Li, W., Xu, L., Liu, X., Zhang, J., Lin, Y., Yao, X., et al. (2017) Air Pollution-Aerosol Interactions Produce More Bioavailable Iron for Ocean Ecosystems. Science Advances, 3, e1601749. [Google Scholar] [CrossRef] [PubMed]
[9] He, R., Zhang, J., Chen, L., Zhang, W. and Xi, Y. (2024) Characterization of Fe-Containing Particles in Chengdu, Southwest China, Using Single-Particle Aerosol Mass Spectrometry. Journal of Environmental Sciences, 136, 110-120. [Google Scholar] [CrossRef] [PubMed]
[10] Ma, S., Ren, K., Liu, X., Chen, L., Li, M., Li, X., et al. (2015) Production of Hydroxyl Radicals from Fe-Containing Fine Particles in Guangzhou, China. Atmospheric Environment, 123, 72-78. [Google Scholar] [CrossRef
[11] Li, L., Huang, Z., Dong, J., Li, M., Gao, W., Nian, H., et al. (2011) Real Time Bipolar Time-Of-Flight Mass Spectrometer for Analyzing Single Aerosol Particles. International Journal of Mass Spectrometry, 303, 118-124. [Google Scholar] [CrossRef
[12] 谢芹惠, 苏柏江, 卓泽铭, 等. 基于SPAMS探究南京市秋季大气中含草酸重金属颗粒的混合状态[J]. 环境科学学报, 2022, 42(7): 73-83.