Long term variation of microphysical properties of black carbon in Beijing derived from observation and machine learning

Bibliographic Data

ID15548655
AuthorsKang Hu (0000-0002-9578-2417, Nanjing University of Information Science and Technology), Dantong Liu (0000-0003-3768-1770, Zhejiang University, corresponding author), Siyuan Li (0000-0001-9095-1886, Zhejiang University, corresponding author), Yangzhou Wu (0000-0002-4488-7809, Chinese Academy of Sciences), Baiwan Pan (Zhejiang University), Shitong Zhao (Zhejiang University), Xiaotong Jiang (0009-0009-4244-4949, Binzhou University), Shuo Ding (0000-0003-3669-8490, China Jiliang University), Ping Tian (0000-0001-5034-9145, Jilin Weather Modification Office), Dawei Hu (0000-0002-2817-8180, University of Manchester), Chenjie Yu (0000-0001-9831-4558, Centre National de la Recherche Scientifique), Ye Wang (0000-0001-5127-4245, Nanjing University of Information Science and Technology), Fei Wang (0000-0003-0860-6317, Jilin Weather Modification Office), Delong Zhao (0000-0002-4534-7820, Jilin Weather Modification Office), Yunfei Wu (0000-0002-1251-0425, Chinese Academy of Sciences), Deping Ding (Jilin Weather Modification Office), Hong Liao (0000-0001-6628-1798, Nanjing University of Information Science and Technology)
Year2024
Volume19
Issue6
Pages064052-064052
Publication date2024-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad4618
OpenAlexW4396540012
LanguageEN
Citations received1
References cited44

The microphysical attributes of black carbon (BC) can determine its absorption and hygroscopic properties. However, long-term information is difficult to obtain from the field. In this study, the BC properties including mass concentration, the coating volume ratio (VR) relative to the refractory BC (rBC), the rBC diameter and the fraction of cloud condensation nuclei (CCN), are derived from a number of field experiments using a random forest model. This model effectively derives the long-term BC microphysical properties in the Beijing region from 2013 to 2020 using continuous measurements of particulate matter, gas, BC mass concentration and meteorological parameters. The results reveal notably higher BC coatings (mean VR = 7.2) and a greater fraction of CCN-like BC (51%) in the winter compared to other seasons. Following the implementation of national air pollution control measures in 2017, BC mass exhibited a substantial reduction of 60% (29%) in the winter (summer), and VR decreased by 45% (24%). Apart from the influence of meteorological variations, these can be attributed to the declined primary emissions and the gas precursors which are associated with secondary formation of BC coatings. The reduction of both BC mass loading and coatings leads to its solar absorption decreasing by 50%, and the fraction of CCN-like BC (likely in clouds) decreasing by 23%. Environmental regulation will therefore continue to reduce both direct and indirect radiative impacts of BC in this region

Atmospheric sciences · Beijing · Carbon black · China · Climatology · Geography · Meteorology · Physics · Term (time · Variation (astronomy · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Environmental Science · Materials Science · Geology

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