Impact of meteorology and energy structure on solvent extractable organic compounds of PM2.5 in Beijing China
Abstract
Twenty-eight PM2.5 samples collected in Summer (July 2002) and Winter (November 2002) at two sites in Beijing, China were analyzed using GC/MS to investigate the impact of meteorology and coal burning on the solvent extractable organic compounds (SEOC). The characteristics and abundance of the n-alkanes, polycyclic aromatic hydrocarbons (PAHs), n-fatty acids and n-alkanols were determined. Source identification was made using organic species as molecular markers. Semi-volatile compounds of alkanes and PAHs had much higher concentrations in winter than summer because of the large difference in the temperature between the seasons. Plant wax emission was a major contributor to n-alkanes in summer, but fossil fuel residue was a major source (>80%) in winter. The seasonal differences in the distribution of pentacyclic triterpanes clearly shows the impact of coal burning for space heating in winter. The yield of PAHs in winter (148 ng m(-3) at the urban site and 277 ng m(-3) at the suburban site) was six to eight times higher than that in summer and was found to be mainly from coal burning. Higher pollutant concentrations were measured at the suburban site than the urban site in winter due to the rapid expansion of the city limit and the relocation of factories from urban to suburban areas over the last two decades.
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Monitoring data for PM2.5 and PM10-2.5 in China are scarce.
“In China, PM2.5 and PM10-2.5 are not the criteria air pollutants, and their monitoring data are scarce.”
From Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China (2007) · cites this paper as Feng et al. 2005
Published data on PM2.5 pollution in China are scarce to date.
“The published data on PM2.5 pollution in China are scarce to date (Feng et al. 2005; Feng et al. 2006; He et al. 2006; Sun et al. 2006; Wang et al. 2004; Yang et al. 2005; Yang et al. 2005).”
From Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China (2007) · cites this paper as Feng et al. 2005
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Self-citationHussain, K., Gupta, N., Bharali, P., Ahmed, M. S., Balachandran, S., Gope, M., Basu, A., Mazumder, M. A. J., & Hoque, R. R. (2026) · Arabian Journal of Geosciences · doi:10.1007/s12517-026-12470-y
- Authors
- Feng, J., Chan, C. K., Fang, M., Hu, M., He, L., & Tang, X.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Peking University (CN)
- Venue
- Chemosphere
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 61
- Issue
- 5
- Pages
- 623-632
- ISSN
- 0045-6535 (ISSN-L)
- OpenAlex
- W2071373953
- Cited by
- 63
- References
- 39
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2022: 2 · 2021: 3 · 2020: 5 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 5 · 2014: 4 · 2013: 2 · 2012: 3
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chemosphere (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Keywords
- PM2.5, weather effects, coal combustion, polycyclic aromatic hydrocarbons, n-alkanes, n-fatty acids, n-alkanols, pentacyclic triterpanes, molecular markers, source apportionment, seasonal variation, space heating, urbanization, Beijing
- MeSH terms
- Aerosols, Air Pollutants, China, Cities, Coal, Environmental Monitoring, Fatty Acids, Heating, Organic Chemicals, Particle Size, Seasons, Sunlight, Temperature, Urban Health, Suburban Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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