Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2917-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2917-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 May 2024
Research article |
| 14 May 2024
| 14 May 2024
Field comparison of dual- and single-spot Aethalometers: equivalent black carbon, light absorption, Ångström exponent and secondary brown carbon estimations
Liangbin Wu
Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou 510530, China
Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou 510530, China
Tao Deng
Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China
Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou 510530, China
Mei Li
Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou 510530, China
Yong Jie Li
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, China
Zhen Zhou
Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou 510530, China
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Cited
10 citations as recorded by crossref.
- Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment Z. Li et al. https://doi.org/10.1016/j.atmosres.2025.108736
- Source apportionment and driving mechanisms of black carbon in a mountainous megacity: insights from urban–suburban observations in Chongqing, China Y. Wang et al. https://doi.org/10.1039/D6EA00019C
- Rolling positive matrix factorisation for aerosol optical apportionment M. Acton-Bond et al. https://doi.org/10.1016/j.atmosenv.2026.122295
- Improving measurements of aerosol light absorption coefficients from DualSpot aethalometers using an internal consistency diagnostic and an alternative loading compensation method R. Poland et al. https://doi.org/10.1080/02786826.2025.2587817
- Understanding the spatial heterogeneity of black carbon variation drivers in China: Views from explainable machine learning H. Zheng et al. https://doi.org/10.1016/j.atmosres.2026.108749
- Urban black-carbon radiative heating intensified by biogenic–anthropogenic interactions Y. Zhang et al. https://doi.org/10.1038/s41561-026-01922-5
- How to mitigate black carbon aerosols exposure across urban and peri-urban street environments? Z. Zhang et al. https://doi.org/10.1016/j.apr.2026.103055
- Urban Pollution Burden in Sub-Saharan African (SSA) Cities: Characterizing PM2.5, PM10, and Black Carbon in Two Contrasting Environments in Accra, Ghana J. Nimo et al. https://doi.org/10.1021/acsestair.5c00469
- A European aerosol phenomenology – 9: Light absorption properties of carbonaceous aerosol particles across surface Europe J. Rovira et al. https://doi.org/10.1016/j.envint.2024.109185
- Impact of atmospheric condition on aerosol optical properties in urban and rural environment S. Kłapiński et al. https://doi.org/10.1016/j.apr.2025.102884
10 citations as recorded by crossref.
- Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment Z. Li et al. https://doi.org/10.1016/j.atmosres.2025.108736
- Source apportionment and driving mechanisms of black carbon in a mountainous megacity: insights from urban–suburban observations in Chongqing, China Y. Wang et al. https://doi.org/10.1039/D6EA00019C
- Rolling positive matrix factorisation for aerosol optical apportionment M. Acton-Bond et al. https://doi.org/10.1016/j.atmosenv.2026.122295
- Improving measurements of aerosol light absorption coefficients from DualSpot aethalometers using an internal consistency diagnostic and an alternative loading compensation method R. Poland et al. https://doi.org/10.1080/02786826.2025.2587817
- Understanding the spatial heterogeneity of black carbon variation drivers in China: Views from explainable machine learning H. Zheng et al. https://doi.org/10.1016/j.atmosres.2026.108749
- Urban black-carbon radiative heating intensified by biogenic–anthropogenic interactions Y. Zhang et al. https://doi.org/10.1038/s41561-026-01922-5
- How to mitigate black carbon aerosols exposure across urban and peri-urban street environments? Z. Zhang et al. https://doi.org/10.1016/j.apr.2026.103055
- Urban Pollution Burden in Sub-Saharan African (SSA) Cities: Characterizing PM2.5, PM10, and Black Carbon in Two Contrasting Environments in Accra, Ghana J. Nimo et al. https://doi.org/10.1021/acsestair.5c00469
- A European aerosol phenomenology – 9: Light absorption properties of carbonaceous aerosol particles across surface Europe J. Rovira et al. https://doi.org/10.1016/j.envint.2024.109185
- Impact of atmospheric condition on aerosol optical properties in urban and rural environment S. Kłapiński et al. https://doi.org/10.1016/j.apr.2025.102884
Saved (final revised paper)
Latest update: 16 Aug 2026
Short summary
Field comparison of dual-spot (AE33) and single-spot (AE31) Aethalometers by full-year collocated measurements suggests that site-specific correction factors are needed to ensure the long-term data continuity for AE31-to-AE33 transition in black carbon monitoring networks; babs agrees well between AE33 and AE31, with slight variations by wavelength (slope: 0.87–1.04; R2: 0.95–0.97). A ~ 20 % difference in secondary brown carbon light absorption was found between AE33 and AE31.
Field comparison of dual-spot (AE33) and single-spot (AE31) Aethalometers by full-year...
