Articles | Volume 18, issue 11
https://doi.org/10.5194/amt-18-2509-2025
© Author(s) 2025. 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-18-2509-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jun 2025
Research article |
| 12 Jun 2025
| 12 Jun 2025
A comprehensive characterization of empirical parameterizations for OH exposure in the Aerodyne Potential Aerosol Mass Oxidation Flow Reactor (PAM-OFR)
Qianying Liu
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Andrew T. Lambe
Aerodyne Research Inc., Billerica, Massachusetts, 01821, United States
Shengrong Lou
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Lulu Zeng
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Yuhang Wu
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Congyan Huang
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Shikang Tao
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Xi Cheng
School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
State Key Joint Laboratory of Environmental Simulation and Pollution Control, BIC-ESAT and IJRC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
Ka In Hoi
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Hongli Wang
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Kai Meng Mok
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Cheng Huang
State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
Yong Jie Li
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
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Latest update: 13 Aug 2025
Short summary
We evaluate the applicability of empirical equations to estimate OH exposure (OHexp) in an oxidative flow reactor (OFR). The fitting parameters obtained within a narrow range of conditions can generally be extended to estimate the OHexp for wide ranges of conditions in the OFR, except for external OH reactivity, which requires new fitting. At least 20–30 data points from SO2 or CO decay with varying conditions are required to fit a set of empirical parameters that can accurately estimate OHexp.
We evaluate the applicability of empirical equations to estimate OH exposure (OHexp) in an...
