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气溶胶等效复折射率反演的免疫进化算法
引用本文:张智察,倪长健,邓也,汤津赢,朱育雷,杨寅山,邓佩云.气溶胶等效复折射率反演的免疫进化算法[J].中国环境科学,2019,39(2):554-559.
作者姓名:张智察  倪长健  邓也  汤津赢  朱育雷  杨寅山  邓佩云
作者单位:1. 成都信息工程大学大气科学学院, 四川 成都 610225; 2. 高原大气与环境四川省重点实验室, 四川 成都 610225; 3. 成都市环境保护科学研究院, 四川 成都 610072
基金项目:国家重点研发计划(2018YFC0214004);四川省科技厅重点研发项目(2018SZ0287)
摘    要:通过Mie散射理论公式构建目标函数,利用免疫进化算法对气溶胶等效复折射率的实部和虚部进行协同优化,据此创新性地提出了气溶胶等效复折射率反演的新途径.基于成都市2017年9~12月逐时的气溶胶散射系数和吸收系数观测数据以及该时段同时次GRIMM180大气颗粒物监测仪的连续监测资料,研究结果表明,气溶胶等效复折射率反演的免疫进化算法不仅是普适的,而且还具有收敛速度快、计算稳定和求解精度高等特点.通过与其它气溶胶等效复折射率反演方法的对比分析,进一步论证了新方法的优势,这为气溶胶等效复折射率演变机理以及气溶胶吸湿性增长模型的后续研究提供了算法保障.

关 键 词:气溶胶  复折射率  反演  Mie散射理论  免疫进化算法  
收稿时间:2018-07-13

Retrieval of equivalent complex refractive index of aerosol particles based on immune evolution algorithm
ZHANG Zhi-cha,NI Chang-jian,DENG Ye,TANG Jin-ying,ZHU Yu-lei,YANG Yin-shan,DENG Pei-yun.Retrieval of equivalent complex refractive index of aerosol particles based on immune evolution algorithm[J].China Environmental Science,2019,39(2):554-559.
Authors:ZHANG Zhi-cha  NI Chang-jian  DENG Ye  TANG Jin-ying  ZHU Yu-lei  YANG Yin-shan  DENG Pei-yun
Institution:1. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China; 2. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610225, China; 3. Chengdu Academy of Environmental Sciences, Chengdu 610072, China
Abstract:Based on immune evolutionary algorithm to optimize the objective function derived from Mie scattering theory, a new approach, which aimed at retrieving equivalent complex refractive index of aerosol particles (including both real part and imaginary part as a whole), was innovatively proposed. By utilizing the hourly aerosol scattering coefficient, aerosol absorption coefficient, and the coincidental data obtained from GRIMM180 in Chengdu from September to December 2017, the results showed thatthe new approach featured universal, fast convergent, robust, and precise. Compared with other available methods of retrieving equivalent complex refractive index of aerosol particles, the advantages of the new approach were further confirmed. The above achievement indicated that thenew algorithm should help to more clearly understand the evolution mechanism of equivalent complex refractive index of aerosol particles and aerosol hygroscopic growth model.
Keywords:aerosol  complex refractive index  retrieval  Mie scattering theory  immune evolutionary algorithm  
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