Yi Chen, Men Xia, Penggang Zheng, Yumin Li, Zhouxing Zou, Shengrui Tong, Kun Li, Xin Feng, Lirong Hui, Qi Yuan, Jinjian Li, Jian Zhen Yu, Shuncheng Lee, Tao Wang, Zhe Wang
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Complex gas-particle partitioning of nitro-phenolic compounds: field-based insights and determination of apparent activity coefficient
Gas–particle partitioning (GPP) of oxygenated semi–volatile organic compounds (SVOCs) is crucial for atmospheric organic aerosol formation, yet large uncertainties persist in its simulation due to challenges in obtaining accurate parameters. This study focuses on nitro–phenolic species (NPs), representative oxygenated SVOCs impacting solar radiative balance and atmospheric chemistry. Concurrent measurements of gaseous and particulate NPs at a subtropical coastal site showed particulate fractions ranging from 8.6% to 53%, which deviated from traditional theoretical estimates by factors of 0.26 to 104. To address these discrepancies, a field-based activity coefficient (ζ) was derived by integrating measured parameters and theoretical considerations. Incorporating ζ into a box model significantly improved simulations for mono–NPs and uncovered a more complex GPP process for di–NPs than previously recognized. The successful application of ζ in a regional model highlights its broader applicability and calls for more quantitative studies for various SVOCs.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.