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南京地区气溶胶谱分布的湿度相关性分析和等效复折射率预测
引用本文:何晓宇,任登凤,程永强,束瑾,方明杰,刘璐.南京地区气溶胶谱分布的湿度相关性分析和等效复折射率预测[J].气象科学,2023,43(6):772-780.
作者姓名:何晓宇  任登凤  程永强  束瑾  方明杰  刘璐
作者单位:南京理工大学 能源与动力工程学院, 南京 210094
基金项目:江苏省大学生创新创业训练计划资助项目(201910288128Y)
摘    要:通过实验收集大气颗粒物,对南京地区大气气溶胶谱分布进行了描述,对气溶胶分布与相对湿度的相关性进行了探讨。建立了南京地区7—11月气溶胶化学组分的月平均模型,得出气溶胶等效复折射率的预测方法。结果表明:南京地区的大气气溶胶颗粒物,峰值粒径在80~100 nm范围,属于典型的城市型气溶胶。数浓度与相对湿度的相关性与季节和粒径大小有关,在6—9月,相对湿度与细粒子数浓度呈负相关,与粗粒子呈正相关,在10—11月相反,且易受极端天气影响。建立的干气溶胶等效复折射率月平均模型,结合湿度修正模型得到某一日的复折射率,与AERONET站点数据进行了对比,结果较为一致,误差范围在0~0.03。

关 键 词:大气气溶胶  粒径谱分布  相对湿度  等效复折射率
收稿时间:2021/5/10 0:00:00
修稿时间:2021/9/17 0:00:00

Analysis of correlation between spectral distribution and humidity and equivalent complex refractive index prediction in Nanjing
HE Xiaoyu,REN Dengfeng,CHENG Yongqiang,SHU Jin,FANG Mingjie,LIU Lu.Analysis of correlation between spectral distribution and humidity and equivalent complex refractive index prediction in Nanjing[J].Scientia Meteorologica Sinica,2023,43(6):772-780.
Authors:HE Xiaoyu  REN Dengfeng  CHENG Yongqiang  SHU Jin  FANG Mingjie  LIU Lu
Institution:School of Energy and Power Egneering, Nanjing University of Science & Technology, Nanjing 210094, China
Abstract:Through collecting atmospheric particulate matter by experiments, this paper described particle size distribution of atmospheric aerosols in Nanjing and explore the correlation between the concentration of different particle sizes and relative humidity.Furthermore, a monthly average model of aerosol chemical composition in Nanjing from July to November was established and a prediction method of aerosol equivalent complex refractive index was obtained. Results show that the atmospheric aerosol particles in Nanjing have a peak particle size in the range of 80-100 nm, which is a typical urban aerosol. The correlation between the number concentration and relative humidity is related to the size of particle. The correlation between number concentration and relative humidity varies with the season and size.From June to September, the relative humidity is negatively correlated with the concentration of fine particles, and positively correlated with coarse particles. From October to November, it is on the contrary. The method for obtaining The equivalent complex refractive index of aerosol is consistent with the data from the AERONET site, and the error range is 0-0.03.
Keywords:atmospheric aerosol  size distribution  relative humidity  equivalent complex refractive index
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