基于化学组分参数化的大气气溶胶吸湿性特征

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1137 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要为了探讨大气气溶胶的吸湿性特征, 基于观测气溶胶化学组分, 计算了吸湿性参数κ.首先, 通过PCA分析法, 得到了对吸湿性参数κ贡献率较大的化学因子; 其次, 基于Köhler公式与ZSR混合理论, 对各化学组分加权得到各时刻对应的吸湿性参数κ_chemical; 最后, 基于κ-Köhler理论, 讨论κ_chemical与其相关性, 并通过κ_chemical对吸湿性特征参数(光学吸湿增长因子f(RH)、粒径吸湿增长因子gf)进行反演运算, 探讨两者与理论值的差异.采用迭代算法与前人研究所得的经验公式求解吸湿性参数κ_NEP, 以验证化学方法计算吸湿性参数κ_chemical的准确性.此外, 还根据所得的吸湿性参数, 讨论其与能见度之间的关系.结果表明: κ_chemical与基于κ-Köhler理论计算得到的κ_Köhler相关系数为0.78, 两者的均方根误差为0.031, 处于较低水平, 两者比值基本分布于距中心拟合直线误差的10%内; 反演所得的f(RH)与仪器测量值f(RH)_measured相关系数高达0.99, 进一步证明了两者存在很强的线性关系; 反演所得的gf与理论值gf_NEP重合度极高, 也具有较高相关性; κ_chemical与能见度呈负相关性, 在能见度≤5km时, κ_NH₄NO₃对κ_chemical的贡献为74.63%

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	沈子宣
	徐敏
	胡波
	王跃思
	邹嘉南

关键词 ：化学组分, 参数化, κ-Kö, hler理论, 吸湿性

Abstract：In order to discuss the hygroscopic characteristics of atmospheric aerosols, the hygroscopic parameters κ were calculated based on the chemical composition of aerosols. The hygroscopic parameters were calculated firstly through PCA analysis, the main influencing chemical factors of hygroscopicity parameters κ were obtained; Secondly, based on the Köhler formula and the ZSR mixing theory, the hygroscopic parameters of each chemical component were weighted to get the corresponding hygroscopic parameters κ_chemical at each time. Finally, based on the κ-Köhler theory, differences between calculated value of hygroscopic characteristics and the theoretical values were discussed by inverting the characteristic parameters of hygroscopicity (optical and particle size hygroscopicity growth factor f(RH), gf). The iterative algorithm and the empirical formula obtained from previous studies were used to calculate the hygroscopic parameters, which was set to verify the accuracy of the chemical method. In addition, the relation between κ_chemical and visibility was also discussed. The results showed that the correlation coefficient between κ_chemical and κ_köhler was 0.78 and the root mean square error of the two was 0.031, which was at a low level. The ratio of the two was basically distributed in the range of 10% of the linear fitting error from the center. The correlation coefficient between the inversion of f(RH) and the instrument measurement f(RH)_measured was as high as 0.99, which further proved a strong linear relationship between them. The gf had a high coincidence degree and correlation with the theoretical value gf_NEP. When the visibility was less than 5km, the κ_NH₄NO₃ contribution to κ_chemicalwas 74.63%.

Key words： chemical composition the parameterized Köhler theory hygroscopic characteristics

收稿日期: 2021-05-20

PACS:

X131

基金资助:北京市自然科学基金资助项目(8202050);江苏省高等学科自然科学研究项目(21KJB170002);国家重点研发计划(2017YFC0210000);中国气象局云雾物理环境重点开放实验室开放课题(2017Z016)

通讯作者: 邹嘉南, 讲师, zoujn16@nuist.edu.cn E-mail: zoujn16@nuist.edu.cn

作者简介: 沈子宣(1998-), 女, 浙江嘉兴人, 南京信息工程大学本科生, 主要从事大气气溶胶及大气化学研究.发表论文2篇

引用本文:

沈子宣, 徐敏, 胡波, 王跃思, 邹嘉南. 基于化学组分参数化的大气气溶胶吸湿性特征[J]. 中国环境科学, 2022, 42(1): 52-60. SHEN Zi-xuan, XU Min, HU Bo, WANG Yue-si, ZOU Jia-nan. Characteristics of hygroscopicity of atmospheric aerosols based on chemical component parameterization. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 52-60.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2022/V42/I1/52

[1]	Charlson R J, Schwartz S E, Hales J M, et al. Climate forcing by anthropogenic aerosols [J]. Science, 1992, 255(5043): 423-429.
[2]	Twomey S A. Pollution and the planetary albedo [J]. Atmospheric Environment, 2007, 8(12): 1251-1256.
[3]	Covert D S, Charlson R J, Ahlquist N C. A study of the relationship of chemical composition and humidity to light scattering by aerosols [J]. Journal of Applied Meteorology, 1972, 11(6): 1962-1982.
[4]	Bian Y X, Zhao C S, Ma N, et al. A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain [J]. Atmospheric Chemistry and Physics, 2014, 14(12): 6417-6426.
[5]	Scot T M. Phase transitions of aqueous atmospheric particles [J]. Chemical Reviews, 2000, 100(9): 3403-3454.
[6]	Chen J, Zhao C S, Ma N, et al. Aerosol hygroscopicity parameter derived from the light scattering enhancement factor measurements in the North China Plain [J]. Atmospheric Chemistry Physics, 2014, 14(15): 8105–8118.
[7]	Zieger P, Fierz-Schmidhauser R, Weingartner E, et al. Effects of relative humidity on aerosol light scattering: results from different European sites [J]. Atmospheric Chemistry and Physics, 2013, 13(21): 10609-10631.
[8]	陈卉, 杨素英, 李艳伟, 等. 黄山夏季气溶胶吸湿性及与化学组分闭合[J]. 气象学报, 2016, 37(6): 2008-2016. Chen H, Yang S Y, Li Y W, et al. Hygroscopic properties and closure of aerosol chemical composition in Mt. Huang in Summer [J]. Environmental Science, 2016, 37(6): 2008-2016.
[9]	Binkowski F S, Roselle S J. Models-3community multiscale air quality (CMAQ) model aerosol component 1. model description [J]. Journal of Geophysical Research: Atmospheres, 2003, 108(D6): 4183-4201.
[10]	Yu Y L, Zhao C S, Kuang Y, et al. A parameterization for the light scattering enhancement factor with aerosol chemical compositions [J]. Atmospheric Environment, 2018, 191: 370-377.
[11]	Liu A K, Wang H L, Cui Y, et al. Characteristics of aerosol during a severe haze-fog episode in the Yangtze River Delta: Particle size distribution, chemical composition, and optical properties [J]. Atmosphere, 2020, 11(1), 56.
[12]	Kuang Y, Zhao C S, Tao J C, et al. Diurnal variations of aerosol optical properties in the North China Plain and their influences on the estimates of direct aerosol radiative effect [J]. Atmospheric Chemistry and Physics, 2015, 15(10): 5761-5772.
[13]	Brock C A, Wagner N L, Anderson B E, et al. Aerosol optical properties in the southeastern United States in summer – Part 1: hygroscopic growth [J]. Atmospheric Chemistry Physics, 2016, 16: 4987–5007.
[14]	Tan H B, Xu H B, Wan Q L, et al. Design and application of an unattended multifunctional H-TDMA system [J]. Journal of Atmospheric and Oceanic Technology, 2013, 30(6): 1136-1148.
[15]	Sun Y L, He Y, Kuang Y, et al. Chemical differences between PM1 and PM2.5in highly polluted environment and implications in air pollution studies [J]. Geophysical Research Letters, 2020.
[16]	邹嘉南. 京津冀气溶胶化学物理特征及其对消光的影响研究[D]. 兰州: 兰州大学, 2019. Zou J N. Chemical and physical characteristics of aerosol and their effects on extinction in Beijing-Tianjin-Hebei. Lanzhou: Lanzhou university, 2019.
[17]	Xu P, Zhang J K, Ji D S, et al. Characterization of submicron particles during autumn in Beijing, China [J]. Journal of Environmental Sciences, 2018, 63(1): 16-27.
[18]	Zhang J K, Sun Y, Liu Z R, et al. Characterization of submicron aerosols during a month of serious pollution in Beijing, 2013 [J]. Atmospheric Chemistry and Physics, 2014, 14(б): 2887-2903.
[19]	Liu H J, Zhao C S, Nekat B, et al. Aerosol hygroscopicity derived from size-segregated chemical composition and its parameterization in the North China Plain [J]. Atmospheric Chemistry and Physics, 2014, 14(5): 2525-2539.
[20]	马乾坤, 成春雷, 李梅, 等. 鹤山气溶胶光学性质和单颗粒化学组分的研究[J]. 中国环境科学, 2019, 39(7): 2710-2720. Ma Q K, Chen C L, Li M, et al. The aerosol optical characteristics and chemical composition of single particles in Heshan [J]. China Environmental Science, 2019, 39(7): 2710-2720.
[21]	Stokes R H, Robinson R A. Interactions in aqueous nonelectrolyte solutions. I. Solute-solvent equilibria [J]. Physics Chemistry, 1966, 70(7): 2126-2131.
[22]	Jost H, Charlson R J, Petters M D, et al. Cloud particle precursors, clouds in the perturbed climate system: their relationship to energy balance [M]. Atmospheric Dynamic Precipitation, 2009: 291-317.
[23]	Fan X X, Liu J Y, Zhang F, et al. Contrasting size-resolved hygroscopicity of fine particles derived by HTDMA and HR-ToF-AMS measurements between summer and winter in Beijing: the impacts of aerosol aging and local emissions [J]. Atmospheric Chemistry and Physics, 2020, 20(2): 915-929.
[24]	王启花, 杨素英, 李艳伟, 等. 黄山夏季气溶胶多尺度吸湿性的参数化方案构建研究[J]. 气象学报, 2016, 74(6): 989-1001. Wang Q H, Yang S Y, Li Y W, et al. A study of multi-size aerosol hygroscopic parameterization in the summer over Huangshan Mountain [J]. Acta Meteorologica Sinica, 2016, 74(6): 989-1001.
[25]	Zhang Z F, Shen Y, Li Y W, et al. Analysis of extinction properties as a function of relative humidity using a κ -EC-Mie model in Nanjing[J]. Atmospheric Chemistry and Physics, 2017, 17(6): 4147-4157.
[26]	Petters M D, Kreidenweis S M. A single parameter representation of hygroscopic growth and cloud condensation nucleus activity [J]. Atmospheric Chemistry and Physics, 2007, 7(90): 1961-1971.
[27]	Kuang Y, Zhao C S, Tao J C, et al. Diurnal variations of aerosol optical properties in the North China Plain and their influences on the estimates of direct aerosol radiative effect [J]. Atmospheric Chemistry and Physics, 2015, 15(10): 5761-5772.
[28]	Zhao P S, Du X, Su J, et al. Aerosol hygroscopicity based on size-resolved chemical compositions in Beijing [J]. Science of the Total Environment, 2020, 716: 2525-2539.
[29]	Zou J N, An J L, Cao Q M, et al. The effects of physical and chemical characteristics of aerosol number concentration on scattering coefficients in Nanjing, China: Insights from a single particle aerosol mass spectrometer [J]. Atmospheric Research, 2021, 250: 105382.
[30]	张智察, 倪长健, 张城语, 等. 气溶胶粒径吸湿增长与散射吸湿增长的关系[J]. 中国环境科学, 2020, 40(12): 5198-5204. Zhang Z Z, Ni C J, Zhang C Y, et al. Relationship between particle size hygroscopic growth and scattering hygroscopic growth [J]. China Environmental Science, 2020, 40(12): 5198-5204.
[31]	Zhang X L, Massoli P L, Quinn P K, et al. Hygroscopic growth of submicron and supermicron aerosols in the marine boundary layer [J]. Journal of Geophysical Research: Atmospheres, 2014, 119(13): 8384-8399.
[32]	陆文涛, 马嫣, 郑军, 等. 不同污染条件下南京北郊春季CCN活化特征分析[J]. 中国环境科学, 2021, 250: 105382. Lu W T, Ma Y, Zheng J, et al. Investigation of cloud condensation nuclei activity under different pollution conditions in spring in the northern suburb of Nanjing [J]. China Environmental Science, 2021.
[33]	Li J Y, Gao W K, Cao L M, et al. Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions [J]. Environmental Pollution, 2021, 268(PB): 115855.