Robust Evidence of C-14, C-13, and N-15 Analyses Indicating Fossil Fuel Sources for Total Carbon and Ammonium in Fine Aerosols in Seoul Megacityopen access
- Authors
- Lim, Saehee; Hwang, Joori; Lee, Meehye; Czimczik, Claudia, I; Xu, Xiaomei; Savarino, Joel
- Issue Date
- 7-6월-2022
- Publisher
- AMER CHEMICAL SOC
- Keywords
- PM2.5; ammonium; total carbon; stable isotopes; radiocarbon isotope; isotopic exchange equilibrium; source apportionment
- Citation
- ENVIRONMENTAL SCIENCE & TECHNOLOGY, v.56, no.11, pp.6894 - 6904
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Volume
- 56
- Number
- 11
- Start Page
- 6894
- End Page
- 6904
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/142972
- DOI
- 10.1021/acs.est.1c03903
- ISSN
- 0013-936X
- Abstract
- Carbon- and nitrogen-containing aerosols are ubiquitous in urban atmospheres and play important roles in air quality and climate change. We determined the C-14 fraction modern (f(M)) and delta C-13 of total carbon (TC) and delta N-15 of NH4+ in the PM2.5 collected in Seoul megacity during April 2018 to December 2019. The seasonal mean delta C-13 values were similar to -25.1% +/- 2.0% in warm and -24.2%+/- 0.82% in cold seasons. Mean delta N-15 values were higher in warm (16.4%+/- 2.8%) than in cold seasons (4.0%+/- 6.1%), highlighting the temperature effects on atmospheric NH3 levels and phase- equilibrium isotopic exchange during the conversion of NH3 to NH4+. While 37% +/- 10% of TC was apportioned to fossilfuel sources on the basis of f(M) values, delta N-15 indicated a higher contribution of emissions from vehicle exhausts and electricity generating units (power-plant NH3 slip) to NH3: 60% +/- 26% in warm season and 66% +/- 22% in cold season, based on a Bayesian isotope-mixing model. The collective evidence of multiple isotope analysis reasonably supports the major contribution of fossil-fuel-combustion sources to NH4+, in conjunction with TC, and an increased contribution from vehicle emissions during the severe PM2.5 pollution episodes. These findings demonstrate the efficacy of a multiple-isotope approach in providing better insight into the major sources of PM2.5 in the urban atmosphere.
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