Retrieval of hygroscopic growth factorof uniformly mixedaerosol particles based on immune evolution algorithm
ZHANG Zhi-cha1, NI Chang-jian1, DENG Ye2, ZHANG Ying1, YANG Yin-shan1
1. Plateau Atmospheres and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China;
2. Chengdu Academy of Environmental Sciences, Chengdu 610072, China
Based ondecomposition of atmospheric extinction coefficient and Mie scattering theory, the objective function, which has the solevariable of thehygroscopic growth factor of uniformly mixed aerosol particles, was established.Furthermore, immune evolution algorithmwas further used to optimize the objective function, and afeasiblemethod was proposed to retrieve hygroscopic growth factor of uniformly mixed aerosol particles. The performance and applicability of the method was evaluatedby utilizing the hourly ground observation data fromnephelometer, aethalometer and GRIMM180 environment particle monitorin Chengdu from October 2017 to December 2017, as well as the coincidental environmental and meteorological data, whichincludesatmospheric visibility, relative humidity (RH) and NO2 mass concentration. The results suggest that the retrieval algorithm is characterized by fast convergence, robustness and precision for all tested samples. Hygroscopic growth model of uniformly mixed aerosol particles was established during autumn and winter in Chengdu. Note that this modelcould significantly improve the simulation accuracy of aerosol scattering coefficient in ambient conditions. The advantage of this model is that the average relative error between the simulated and the measured is only 12.7%. The universal algorithm isbeneficial for subsequent study on the aerosol hygroscopic properties and its radiative forcing impacts.
张智察, 倪长健, 邓也, 张莹, 杨寅山. 免疫进化算法反演均匀混合气溶胶吸湿增长因子[J]. 中国环境科学, 2020, 40(3): 1008-1015.
ZHANG Zhi-cha, NI Chang-jian, DENG Ye, ZHANG Ying, YANG Yin-shan. Retrieval of hygroscopic growth factorof uniformly mixedaerosol particles based on immune evolution algorithm. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(3): 1008-1015.
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