Articles | Volume 23, issue 13
https://doi.org/10.5194/acp-23-7495-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-7495-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
11 Jul 2023
Technical note |
| 11 Jul 2023
| 11 Jul 2023
Technical note: Intercomparison study of the elemental carbon radiocarbon analysis methods using synthetic known samples
Xiangyun Zhang
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
Sanyuan Zhu
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
Junwen Liu
Institute for Environmental and Climate Research, Jinan University,
Guangzhou 511443, China
Ping Ding
State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Shutao Gao
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
Chongguo Tian
Key Laboratory of Coastal Environmental Processes and Ecological
Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of
Sciences, Yantai 264003, China
Yingjun Chen
Department of Environmental Science and Engineering, Fudan
University, Shanghai 200438, China
Ping'an Peng
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
Gan Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macau Joint Laboratory for Environmental
Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy
of Sciences, Guangzhou 510640, China
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Wei Sun, Yuzhen Fu, Guohua Zhang, Yuxiang Yang, Feng Jiang, Xiufeng Lian, Bin Jiang, Yuhong Liao, Xinhui Bi, Duohong Chen, Jianmin Chen, Xinming Wang, Jie Ou, Ping'an Peng, and Guoying Sheng
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Tao Cao, Meiju Li, Chunlin Zou, Xingjun Fan, Jianzhong Song, Wanglu Jia, Chiling Yu, Zhiqiang Yu, and Ping'an Peng
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Xuewu Fu, Chen Liu, Hui Zhang, Yue Xu, Hui Zhang, Jun Li, Xiaopu Lyu, Gan Zhang, Hai Guo, Xun Wang, Leiming Zhang, and Xinbin Feng
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TGM concentrations and isotopic compositions in 10 Chinese cities showed strong seasonality with higher TGM concentrations and Δ199Hg and lower δ202Hg in summer. We found the seasonal variations in TGM concentrations and isotopic compositions were highly related to regional surface Hg(0) emissions, suggesting land surface Hg(0) emissions are an important source of atmospheric TGM that contribute dominantly to the seasonal variations in TGM concentrations and isotopic compositions.
Long Peng, Lei Li, Guohua Zhang, Xubing Du, Xinming Wang, Ping'an Peng, Guoying Sheng, and Xinhui Bi
Atmos. Chem. Phys., 21, 5605–5613, https://doi.org/10.5194/acp-21-5605-2021, https://doi.org/10.5194/acp-21-5605-2021, 2021
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We build a novel system that utilizes an aerodynamic aerosol classifier (AAC) combined with a single-particle aerosol mass spectrometry (SPAMS) to simultaneously characterize the volume equivalent diameter (Dve), chemical compositions, and effective density (ρe) of individual particles in real time. A test of the AAC-SPAMS with both spherical and aspherical particles shows that the deviations between the measured and theoretical values are less than 6 %.
Jianzhong Sun, Yuzhe Zhang, Guorui Zhi, Regina Hitzenberger, Wenjing Jin, Yingjun Chen, Lei Wang, Chongguo Tian, Zhengying Li, Rong Chen, Wen Xiao, Yuan Cheng, Wei Yang, Liying Yao, Yang Cao, Duo Huang, Yueyuan Qiu, Jiali Xu, Xiaofei Xia, Xin Yang, Xi Zhang, Zheng Zong, Yuchun Song, and Changdong Wu
Atmos. Chem. Phys., 21, 2329–2341, https://doi.org/10.5194/acp-21-2329-2021, https://doi.org/10.5194/acp-21-2329-2021, 2021
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Brown carbon (BrC) emission factors from household biomass fuels were measured with an integrating sphere optics approach supported by iterative calculations. A novel algorithm to directly estimate the absorption contribution of BrC relative to that of BrC + black carbon (FBrC) was proposed based purely on the absorption exponent (AAE)
(FBrC = 0.5519 lnAAE + 0.0067). The FBrC for household biomass fuels was as high as 50.8 % across the strongest solar spectral range of 350−850 nm.
Qingqing Yu, Xiang Ding, Quanfu He, Weiqiang Yang, Ming Zhu, Sheng Li, Runqi Zhang, Ruqin Shen, Yanli Zhang, Xinhui Bi, Yuesi Wang, Ping'an Peng, and Xinming Wang
Atmos. Chem. Phys., 20, 14581–14595, https://doi.org/10.5194/acp-20-14581-2020, https://doi.org/10.5194/acp-20-14581-2020, 2020
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We carried out a 1-year PM concurrent observation at 12 sites across six regions of China, and size-segregated PAHs were measured. We found both PAHs and BaPeq were concentrated in PM1.1, and northern China had higher PAHs' pollution and inhalation cancer risk than southern China. Nationwide increases in both PAH levels and inhalation cancer risk occurred in winter. We suggest reducing coal and biofuel consumption in the residential sector is an important option to mitigate PAHs' health risks.
Qingcai Chen, Haoyao Sun, Wenhuai Song, Fang Cao, Chongguo Tian, and Yan-Lin Zhang
Atmos. Chem. Phys., 20, 14407–14417, https://doi.org/10.5194/acp-20-14407-2020, https://doi.org/10.5194/acp-20-14407-2020, 2020
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This study found environmentally persistent free radicals (EPFRs) are widely present in atmospheric particles of different particle sizes and exhibit significant particle size distribution characteristics. EPFR concentrations are higher in coarse particles than in fine particles in summer and vice versa in winter. The potential toxicity caused by EPFRs may also vary with particle size and season. Combustion is the most important source of EPFRs (>70 %).
Yuzhen Fu, Qinhao Lin, Guohua Zhang, Yuxiang Yang, Yiping Yang, Xiufeng Lian, Long Peng, Feng Jiang, Xinhui Bi, Lei Li, Yuanyuan Wang, Duohong Chen, Jie Ou, Xinming Wang, Ping'an Peng, Jianxi Zhu, and Guoying Sheng
Atmos. Chem. Phys., 20, 14063–14075, https://doi.org/10.5194/acp-20-14063-2020, https://doi.org/10.5194/acp-20-14063-2020, 2020
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Based on the analysis of the morphology and mixing structure of the activated and unactivated particles, our results emphasize the role of in-cloud processes in the chemistry and microphysical properties of individual activated particles. Given that organic coatings may determine the particle hygroscopicity and heterogeneous chemical reactivity, the increase of OM-shelled particles upon in-cloud processes should have considerable implications for their evolution and climate impact.
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Short summary
The results show that 14C elemental carbon (EC) was not only related to the isolation method but also to the types and proportions of the biomass sources in the sample. The hydropyrolysis (Hypy) method, which can be used to isolate a highly stable portion of ECHypy and avoid charring, is a more effective and stable approach for the matrix-independent 14C quantification of EC in aerosols, and the 13C–ECHypy and non-fossil ECHypy values of SRM1649b were –24.9 ‰ and 11 %, respectively.
The results show that 14C elemental carbon (EC) was not only related to the isolation method but...
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