安徽省寿县气溶胶消光系数变化特征分析

大气与环境光学学报 ›› 2022, Vol. 17 ›› Issue (5): 533-541.

安徽省寿县气溶胶消光系数变化特征分析

陈玉宽1,2 , 王朔1 , 徐学哲1 , 赵卫雄1 , 盖艳波1 , 方波1 , 张为俊1,2∗

1 中国科学院合肥物质科学研究院安徽光学精密机械研究所大气物理化学研究室, 安徽合肥 230031; 2 中国科学技术大学, 安徽合肥 230026

收稿日期:2021-04-15 修回日期:2022-08-25 出版日期:2022-09-28 发布日期:2022-10-17
通讯作者: E-mail: gaiyanbo@aiofm.ac.cn E-mail:1318074274@qq.com
作者简介:陈玉宽 (1995 - ), 湖北孝感人, 硕士研究生, 主要从事大气环境数据分析与监测方面的研究。 E-mail: cyk233@mail.ustc.edu.cn
基金资助:
Supported by Public Welfare Industry (Meteorology) Scientific Research Project (公益性行业 (气象) 科研专项, GYHY201406039), National Natural Science Foundation of China (国家自然科学基金, 21876177)

Variation characteristics of aerosol extinction coefficient in Shouxian, Anhui Province

CHEN Yukuan 1,2 , WANG Shuo 1 , XU Xuezhe 1 , ZHAO Weixiong 1 , GAI Yanbo 1 , FANG Bo 1 , ZHANG Weijun 1,2∗

1 Laboratory of Atmospheric Physical Chemistry, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 2 University of Science and Technology of China, Hefei 230026, China

Received:2021-04-15 Revised:2022-08-25 Published:2022-09-28 Online:2022-10-17

摘要/Abstract

摘要： 基于自主研发的气溶胶消光光谱仪, 在安徽省寿县观测站点进行了连续观测, 并对 2016 年 5 月至 12 月期间该地区的大气气溶胶光学特性开展了研究。结合不同大气因素分析了观测结果的时间序列变化及日变化规律, 对比了消光系数与 PM2.5 质量浓度、散射系数的相关性, 并探讨了风速风向对于寿县消光系数变化的影响。结果表明: 寿县地区大气消光系数时间序列变化与日变化特征明显, 且受到不同气象要素的影响。秋季和冬季的大气污染情况较为严重, 与其他季节相比, 污染天气的天数明显增多; 与清洁天气相比, 污染天气的消光系数和 PM2.5 质量浓度、散射系数显著增大。特别在冬季, 污染事件频繁。在 12 月份出现过重度污染天, 其 24 h PM2.5 平均浓度超过 150 µg·m−3 , 且该月消光系数和 PM2.5 质量浓度、散射系数均达到观测期间月平均最大值。整个观测期间, 从日变化来看, 消光系数、PM2.5 质量浓度及散射系数均是白天波动较大, 午后出现最低值; 其中消光系数最大值出现于清晨 08:00 左右, 最小值则出现于下午 16:00 左右。此外, 消光光谱仪测得的气溶胶消光系数与 PM2.5 质量浓度和散射系数的相关系数分别为 0.91 和 0.83, 说明研制的消光光谱仪同其他仪器的测量结果具有很好的一致性。

关键词: 气溶胶, PM2.5, 消光系数, 气象要素

Abstract: Based on the self-developed aerosol extinction spectrometer, continuous observation was carried out at Shouxian Observation Station in Anhui Province, China, and the aerosol optical properties in this area from May to December 2016 were studied. Combined with the different atmospheric factors, the time series change and daily change law of observation results were analyzed, the correlation between extinction coefficient and PM2.5 mass concentration, scattering coefficient were compared, and the influence of wind speed and direction on the variation of extinction coefficient in Shouxian was discussed. The results show that the time series and diurnal variation characteristics of atmospheric extinction coefficient in Shouxian area are obvious, and they are affected by different meteorological factors. Compared with other seasons, the air pollution in autumn and winter is more serious, and the number of days of polluted weather is increased significantly. Compared with clean weather, the extinction coefficient, PM2.5 mass concentration and scattering coefficient of polluted weather are increased significantly. Especially in winter, pollution events are more frequent. For example, in December, the average concentration of PM2.5 in 24 h exceeds 150 µg·m−3 , and the extinction coefficient, PM2.5 mass concentration and scattering coefficient of the month reach the monthly average maximum value during the observation period. During the observation period, according to the diurnal variation, the extinction coefficient, PM2.5 mass concentration and scattering coefficient fluctuate greatly in the daytime, and the lowest values appear in the afternoon. The maximum extinction coefficient appears at about 08:00 a.m., and the minimum value appears at about 16:00 p.m.. In addition, the correlation coefficients of aerosol extinction coefficient measured by extinction spectrometer with PM2.5 concentration and scattering coefficient are 0.91 and 0.83, respectively, indicating that the measurement results of the developed extinction spectrometer are in good agreement with those of other instruments.

Key words: aerosol, PM2.5, extinction coefficient, meteorological parameters

中图分类号:

X831

陈玉宽, 王朔, 徐学哲, 赵卫雄, 盖艳波, 方波, 张为俊, ∗. 安徽省寿县气溶胶消光系数变化特征分析[J]. 大气与环境光学学报, 2022, 17(5): 533-541.

CHEN Yukuan , , WANG Shuo , XU Xuezhe , ZHAO Weixiong , GAI Yanbo , FANG Bo , ZHANG Weijun , ∗. Variation characteristics of aerosol extinction coefficient in Shouxian, Anhui Province[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(5): 533-541.

参考文献 21

[1]	Wu J, Yang C P, Liu J B. Optical Transmission Theory in the Atmosphere [M]. Beijing: Beijing University of Posts and
	Telecommunications Press, 2015: 37-39.
	吴建, 杨春平, 刘建斌. 大气中的光传输理论 [M]. 北京: 北京邮电大学出版社, 2015: 37-39.
[2]	Teng M, Zhuang P, Zhang Z Y, et al. New all-weather outdoor Raman-Mie scattering lidar system used in atmospheric aerosol
	pollution monitoring [J]. Infrared and Laser Engineering, 2019, 48(7): 67-73.
	滕曼, 庄鹏, 张站业, 等. 大气气溶胶污染监测中应用的新型全天时户外型拉曼-米散射激光雷达系统 [J]. 红外与激光
	工程, 2019, 48(7): 67-73.
[3]	Li X B, Xu Q S, Wei H L, et al. Study on relationship between extinction coefficient and mass concentration [J]. Acta Optica
	Sinica, 2008, 28(9): 1655-1658.
	李学彬, 徐青山, 魏合理, 等. 气溶胶消光系数与质量浓度的相关性研究 [J]. 光学学报, 2008, 28(9): 1655-1658.
[4]	Zhou S M. Statistical Analysis and Prediction of Extreme Urban Environmental Events [D]. Changsha: Central South University, 2012.
	周松梅. 极端城市环境事件统计分析与预测 [D]. 长沙: 中南大学, 2012.
[5]	Horvath H. Atmospheric aerosols, atmospheric optics and visibility [J]. Journal of Aerosol Science, 1994, 25: 23-24.
[6]	Yu X N, Li X M, Deng Zeng Ran Deng, et al. Aerosol optical properties during haze in Beijing [J]. Environmental Science,
20	12, 32(4): 1057-1062.
	于兴娜, 李新妹, 登增然登, 等. 北京地区雾霾天气期间气溶胶光学特性 [J]. 环境科学, 2012, 32(4): 1057-1062.
[7]	Qi B, Du R G, Yu Z F, et al. Aerosol optical depth in urban site of Hangzhou [J]. China Environmental Science, 2014, 34(3):
58	8-595.
	齐冰, 杜荣光, 于之锋, 等. 杭州市大气气溶胶光学厚度研究 [J]. 中国环境科学, 2014, 34(3): 588-595.
[8]	Xu L, Jin L J, Qin Z R, et al. The latest research progress on the influence of atmospheric aerosol particles on deep convective
	cloud precipitation [J]. Anhui Agricultural Sciences, 2010, 38(6): 3309-3312.
	许霖, 金莲姬, 覃峥嵘, 等. 大气气溶胶粒子影响深对流云降水的国外最新研究进展 [J]. 安徽农业科学, 2010, 38(6):
33	09-3312.
[9]	Shen L, Gu F, Zhang J H, et al. The effect of relative humidity on the extinction coefficient of aerosols [J]. The Journal of Light
	Scattering, 2017, 29(3): 251-256.
	沈磊, 顾芳, 张家红, 等. 相对湿度对气溶胶消光系数的影响 [J]. 光散射学报, 2017, 29(3): 251-256.
[10]	Wang X, An J L, Su X Q, et al. Characteristics and optical properties of water-soluble ion pollution in the northern suburbs of
	Nanjing [J]. China Environmental Science, 2020, 40(2): 506-512.
	王鑫, 安俊琳, 苏筱倩, 等. 南京北郊水溶性离子污染特征及其光学特性 [J]. 中国环境科学, 2020, 40(2): 506-512.
[11]	Sappey A D, Hill E S, Settersten T, et al. Fixed-frequency cavity ringdown diagnostic for atmospheric particulate matter [J].
	Optics Letters, 1988, 23(12): 954-956.
[12]	Thompson J E, Spangler H D. Tungsten source integrated cavity output spectroscopy for the determination of ambient atmospheric extinction coefficient [J]. Applied Optics, 2006, 45(11): 2465-2473.
[13]	Abo Riziq A, Erlick C, Dinar E, et al. Optical properties of absorbing and non-absorbing aerosols retrieved by cavity ring down
(CRD)	spectroscopy [J]. Atmospheric Chemistry and Physics, 2007, 7(78): 1523-1536.
[14]	Li L, Chen J, Chen H, et al. Monitoring optical properties of aerosols with cavity ring-down spectroscopy [J]. Journal of
	Aerosol Science, 2011, 42(4): 277-284.
[15]	Dong M L, Zhao W X, Cheng Y, et al. Incoherent broadband cavity enhanced absorption spectroscopy for trace gases detection
	and aerosol extinction measurement [J]. Acta physica Sinica, 2012, 61(6): 113-118.
	董美丽, 赵卫雄, 程跃, 等. 宽带腔增强吸收光谱技术应用于痕量气体探测及气溶胶消光系数测量 [J]. 物理学报, 2012,
61	(6): 113-118.
[16]	Pan S Q, Chen Z M, Zhang J F, et al. Cavity ring down detection and calibration techniques for the measurement of aerosol
	extinction [J]. Laser & Optoelectronics Progress, 2016, 53(2): 47-51.
	潘孙强, 陈哲敏, 张建峰, 等. 基于光腔衰荡光谱的大气气溶胶消光系数测量及校准技术研究 [J]. 激光与光电子学进展,
20	16, 53(2): 47-51.
[17]	Fan W, Chen K, Ling X F, et al. Atmospheric optical characteristics of national climate observation in Shouxian County in
	winter [J]. Laser & Optoelectronics Progress, 2019, 56(5): 1-10.
	范伟, 陈凯, 凌新峰, 等. 寿县国家气候观象台的冬季大气光学特征 [J]. 激光与光电子学进展, 2019, 56(5): 1-10.
[18]	Lu Y Y. Development history of Shouxian National Climate Observatory [J]. Advances in Meteorological Science and Technology, 2020, 10(5): 52-57.
	卢燕宇. 寿县国家气候观象台发展历程 [J]. 气象科技进展, 2020, 10(5): 52-57.
[19]	Zhao W X, Dong M L, Chen W D, et al. Wavelength-resolved optical extinction measurements of aerosols using broadband cavity-enhanced absorption spectroscopy over the spectral range of 445-480 nm [J]. Analytical Chemistry, 2013, 85(4):
22	60-2268.
[20]	Wang K H, Ni T. Analysis of meteorological causes of two heavily polluted weather processes in Shouxian Region of Anhui
	Province in winter of 2016 [J]. Journal of atmospheric science, 2019, 42(6): 944-952.
	王康宏, 倪婷. 2016 年冬季安徽寿县地区两次重污染过程分析研究 [J]. 大气科学学报, 2019, 42(6): 944-952.
[21]	Liu J, Ren C, Huang X, et al. Increased aerosol extinction efficiency hinders visibility improvement in Eastern China [J].
	Geophysical Research Letters, 2020, 47(20): 1-11.