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Impact Analysis of Multivariable of Aerosol Scattering Hygroscopic Growth Factor in Chengdu
- TONG Jing-zhe, NI Chang-jian, DU Yun-song, CHEN Yun-qiang, ZHANG Cheng-yu
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2022, 38(5):
636-644.
doi:10.19741/j.issn.1673-4831.2021.0553
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Based on the hourly observation data of "dry" aerosol scattering coefficient and absorption coefficient, as well as the simultaneous monitoring data including visibility (V), relative humidity (RH), and nitrogen dioxide (NO2) during October to December 2017 in Chengdu, aerosol scattering hygroscopic growth factor (f) was calculated by optical synthesis method, and then the complex response-relationship of f to synergistic action between RH and aerosol components was further investigated. Firstly, there were strong multicollinearity among different indicators including RH, ρBC, ρBC/ρPM1, ρBC/ρPM2.5, ρBC/ρPM10, ρPM1/ρPM2.5, ρPM1/ρPM10, and ρPM2.5/ρPM10 by using the method of correlation analysis combined with variance inflation factor (ρBC, ρPM1, ρPM2.5 and ρPM10 represent mass concentrations of BC, PM1, PM2.5, and PM10, respectively). Subsequently, the explanatory variable set of f which included RH, ρBC, ρBC/PM2.5, ρPM1/ρPM2.5, and ρPM2.5/ρPM10 were obtained. Secondly, the diagnostic results of f single-variable by adopting generalized additive model (GAM) validated that although RH was the decisive influencing factor of f, f also had significant nonlinear relationship with other explanatory variables (all passed the significance test of α=0.01), especially ρBC. Finally, the model of the multivariable influence factors of f were constructed based on GAM and the corresponding independent variables including RH, ρBC, ρBC/ρPM2.5, ρPM1/ρPM2.5 and ρPM2.5/ρPM10, respectively. The corresponding adjustment determination coefficient (R2) and the determination coefficient of reduced major axis regression were 0.787 and 0.797, respectively, which significantly improved the simulation effect of aerosol scattering hygroscopic growth factor.
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