成都地区气溶胶散射吸湿增长因子双变量模型

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Abstract Based on the hourly observational data of “dry” aerosol scattering coefficient and “dry” aerosol absorption coefficient, as well as the simultaneous data of visibility (V), relative humidity (RH) and nitrogen dioxide (NO₂) from October to December 2017 in Chengdu, aerosol scattering hygroscopic growth factor was calculated by optical synthesis method, and then the applicability of univariate f(RH) model of aerosol scattering hygroscopic growth factor and its improved scheme were further investigated. The results showed that: All three f(RH) models in the form of power function, quadratic polynomial and power index function could well simulate the variation of aerosol scattering hygroscopic growth factor with RH at RH<85%, while for RH>85%, the simulated values would greatly deviate from observed ones. Black carbon mass concentration (C_BC) was another key variable affecting aerosol scattering hygroscopic growth factor, and there existed nonlinear relationship between the two factors. A bivariate f(RH,C_BC) model of aerosol scattering hydroscopic growth factor was proposed, and corresponding determination coefficient(R²) and the average relative error(MRE) were 0.763 and 14.28% respectively. Further application of the bivariate f(RH,C_BC) model indicated that the simulation accuracy of aerosol scattering extinction coefficient was significantly enhanced.

Key words： aerosol scattering hygroscopic growth factor relative humidity black carbon mass concentration bivariate model

Received: 19 April 2021

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X513

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	Articles by authors
	ZHANG Cheng-yu
	NI Chang-jian
	TONG Jing-zhe
	ZHANG Zhi-cha
	AN Jun-ling
	PAN Zi-hao

Cite this article:

ZHANG Cheng-yu,NI Chang-jian,TONG Jing-zhe等. Bivariate model of aerosol scattering hygroscopic growth factor in Chengdu[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(12): 5467-5475.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I12/5467

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