气溶胶散射吸湿增长因子对霾强度变化的响应特征

doi:10.19741/j.issn.1673-4831.2022.0271

生态与农村环境学报 ›› 2023, Vol. 39 ›› Issue (8): 1051-1058.doi: 10.19741/j.issn.1673-4831.2022.0271

气溶胶散射吸湿增长因子对霾强度变化的响应特征

佟景哲^1,2, 米家媛^1,2, 倪长健^1,2, 蒋梦姣^1,2, 杨寅山³, 陈云强⁴

1. 成都信息工程大学大气科学学院, 四川成都 610225;
2. 成都平原城市气象与环境四川省野外科学观测研究站, 四川成都 610225;
3. 成都市环境保护科学研究院, 四川成都 610072;
4. 四川省气象服务中心, 四川成都 610072

收稿日期:2022-03-30 出版日期:2023-08-25 发布日期:2023-08-19
通讯作者: 陈云强, E-mail:179417919@qq.com E-mail:179417919@qq.com
作者简介:佟景哲(1998-),男,满族,吉林通化人,研究方向为大气物理学与大气环境。E-mail:tongjz1998@163.com
基金资助:
四川省科技厅应用基础研发项目(2021YJ0314)；国家重点研发计划(2018YFC0214004,2018YFC1506006)

Characteristics of Aerosol Scattering Hygroscopic Growth Factor under Different Haze Intensities

TONG Jing-zhe^1,2, MI Jia-yuan^1,2, NI Chang-jian^1,2, JIANG Meng-jiao^1,2, YANG Yin-shan³, CHEN Yun-qiang⁴

1. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China;
2. Chengdu Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, Chengdu 610225, China;
3. Chengdu Academy of Environmental Sciences, Chengdu 610072, China;
4. Sichuan Meteorological Service Center, Chengdu 610072, China

Received:2022-03-30 Online:2023-08-25 Published:2023-08-19

摘要/Abstract

摘要： 基于成都市2017年10-12月浊度计和黑碳仪的逐时观测数据,结合该时段同时次的能见度(V)、相对湿度(H_R)、二氧化氮(NO₂)以及细颗粒物(PM_2.5)浓度监测资料,利用光学综合法计算气溶胶散射吸湿增长因子,分析霾强度(轻微、轻度、中度和重度)变化对气溶胶散射吸湿增长因子的影响。结果表明:(1)不同霾强度下的气溶胶散射吸湿增长因子均服从对数正态分布,该分布函数的数学期望与方差随霾强度的增加而增大。(2)气溶胶吸湿性随霾强度的增加而增强,对轻微、轻度、中度和重度霾而言,强吸湿模态占比分别为6.2%、11.4%、50.8%和84.5%。(3)分别构建了轻微、轻度、中度和重度霾强度下的二次多项式散射吸湿增长模型,对应全样本模拟值与实测值的决定系数(R²)分别为0.684、0.627、0.729和0.786,即气溶胶散射吸湿增长模型对样本的选择非常敏感,其泛化性能随霾强度的增加而增强。

关键词: 气溶胶散射吸湿增长因子, 对数正态分布, 强吸湿模态, 二次多项式, 霾强度

Abstract: Based on the hourly observation data from nephelometer and aethalometer, as well as the simultaneous data of visibility (V), relative humidity (H_R), nitrogen dioxide (NO₂) and fine particulate matter (PM_2.5) concentrations from October to December 2017 in Chengdu, aerosol scattering hygroscopic growth factors were calculated by optical synthesis method and the influence of haze intensity (slight, mild, moderate and severe) on the aerosol scattering hygroscopic growth factor was analyzed. The results show that:(1) the aerosol scattering hygroscopic growth factors all obeyed Lognormal distribution under different haze intensities, whose mathematic expectation and variance increased with the growing haze intensity. (2) The hygroscopicity of aerosol increased with the growing haze intensity, and proportion of strong hygroscopicity mode were 6.2%, 11.4%, 50.8% and 84.5% for slight, mild, moderate and severe haze. (3) The determination coefficients (R²) of the simulated and measured values of all the samples corresponding to scattering hygroscopic growth model of quadratic polynomial under slight, mild, moderate and severe haze intensities were 0.684, 0.627, 0.729 and 0.786, respectively. The model of aerosol scattering hygroscopic growth was very sensitive to sample selection and its generalization performance increased with the growing of haze intensity.

Key words: aerosol scattering hygroscopic growth factor, Lognormal distribution, strong hygroscopicity mode, quadratic polynomial, haze intensity

中图分类号:

X513

佟景哲, 米家媛, 倪长健, 蒋梦姣, 杨寅山, 陈云强. 气溶胶散射吸湿增长因子对霾强度变化的响应特征[J]. 生态与农村环境学报, 2023, 39(8): 1051-1058.

TONG Jing-zhe, MI Jia-yuan, NI Chang-jian, JIANG Meng-jiao, YANG Yin-shan, CHEN Yun-qiang. Characteristics of Aerosol Scattering Hygroscopic Growth Factor under Different Haze Intensities[J]. Journal of Ecology and Rural Environment, 2023, 39(8): 1051-1058.

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气溶胶散射吸湿增长因子对霾强度变化的响应特征

Characteristics of Aerosol Scattering Hygroscopic Growth Factor under Different Haze Intensities

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