[1]甘启航,何南腾,沈子宣,等.基于能见度数据分析的气溶胶吸湿增长特征研究[J].气象研究与应用,2021,42(01):27-33.[doi:10.19849/j.cnki.CN45-1356/P.2021.1.05]
　Gan Qihang,He Nanteng,Shen Zixuan,et al.Research on the growth characteristics of aerosol moisture absorption based on visibility data analysis[J].Journal of Meteorological Research and Application,2021,42(01):27-33.[doi:10.19849/j.cnki.CN45-1356/P.2021.1.05]
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基于能见度数据分析的气溶胶吸湿增长特征研究()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第42卷
期数:
2021年01期
页码:
27-33
栏目:
研究论文
出版日期:
2021-03-31

文章信息/Info

Title:
Research on the growth characteristics of aerosol moisture absorption based on visibility data analysis
作者:
甘启航1; 2;  何南腾1;  沈子宣1;  邹嘉南1; 3
1. 南京信息工程大学大气科学与环境气象国家级实验教学示范中心、气象灾害预报预警与评估协同创新中心、中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;
2. 贵港市气象局, 广西 贵港 537100;
3. 中国气象局云雾物理环境重点开放实验室, 北京 100081
Author(s):
Gan Qihang1; 2;  He Nanteng1;  Shen Zixuan1;  Zou Jianan1; 3
1. National Experimental Teaching Demonstration Center for Atmospheric Science and Environmental Meteorology, Nanjing University of Information Science and Technology, Collaborative Innovation Center for Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing Jiangsu 210044;
2. Guigang Meteorological Bureau, Guigang Guangxi 537100;
3. Key Laboratory of Cloud and Fog Physical Environment, China Meteorological Administration, Beijing 100081
关键词:
气溶胶; 吸湿增长; 能见度
Keywords:
aerosol; hygroscopic growth; visibility
分类号:
P41
DOI:
10.19849/j.cnki.CN45-1356/P.2021.1.05
摘要:
基于相对湿度、能见度等气象数据，分析气溶胶吸湿增长特性，有助于了解气溶胶对大气环境和区域气候的影响。利用南京地区2016年1—12月、2017年2—12月、2018年1—8月和12月相对湿度和能见度等数据，通过非线性拟合研究气溶胶吸湿增长因子（f（RH））与相对湿度（RH）之间的关系。结果表明，吸湿增长因子在RH值较低（<80%）时，增长率较小；当RH值较高（>80%）时，增长率迅速增大。吸湿增长因子随着月RH值变化而表现出较大差异。此外，当南京地区盛行西风时，高能见度出现的时次较多。f（RH）与PM2.5/PM10成正比，PM2.5/PM10值越高，对应的气溶胶光学吸湿增长因子往往会越高。
Abstract:
Based on meteorological data such as relative humidity and visibility, analyzing the growth characteristics of aerosols will help to understand the impact of aerosols on the atmospheric environment and regional climate. The relative humidity and visibility data from January to December 2016, February to December 2017, January to August as well as December 2018 in Nanjing were used to study the relationship between aerosol moisture absorption growth factor(f(RH)) and relative humidity(RH) through nonlinear fitting. The results show that when the RH value was low(<80%), the growth rate of the moisture absorption growth factor was low; when the RH value was high(>80%), the growth rate increased rapidly. The moisture absorption growth factor showed a big difference with the monthly RH value. In addition, when the westerly wind prevailed in Nanjing, high visibility occurred more often. f(RH) was proportional to PM2.5/PM10. The higher the value of PM2.5/PM10, the higher the corresponding aerosol optical moisture absorption growth factor.

参考文献/References:

[1] Wang K, Dickinson R E, Liang S. Clear Sky Visibility Has Decreased over Land Globally from 1973 to 2007[J]. Science,2009,323(5920):1468-1470.
[2] Wu D, Tie X, Li C, et al. An extremely low visibility event over the Guangzhou region:A case study[J]. Atmospheric Environment,2005,39(35):6568-6577.
[3] 陈静,吴兑,刘啟汉.广州地区低能见度事件变化特征分析[J]. 热带气象学报,2010,26(2):156-164.
[4] 边海,韩素芹,张裕芬,等.天津市大气能见度与颗粒物污染的关系[J]. 中国环境科学,2012,32(3):406-410.
[5] Deng X, Tie X, Wu D, et al. Long-term trend of visibility and its characterizations in the Pearl River Delta (PRD) region, China[J]. Atmospheric Environment,2008,42(7):1424-1435.
[6] Ying I T. Atmospheric visibility trends in an urban area in Taiwan 1961~2003[J]. Atmospheric Environment,2005,39(30):5555-5567.
[7] 吴兑.近十年中国灰霾天气研究综述[J]. 环境科学学报,2012,32(2):257-269.
[8] 钱凌,银燕,童尧青,等.南京北郊大气细颗粒物的粒径分布特征[J]. 中国环境科学,2008,28(1):18-22.
[9] Ferron G A, Karg E, Busch B, et al. Ambient particles at an urban, semi-urban and rural site in Central Europe:hygroscopic properties[J]. Atmospheric Environment,2005, 39(2):343-352.
[10] 刘新罡,张远航.大气气溶胶吸湿性质国内外研究进展[J]. 气候与环境研究,2010,15(6):808-816.
[11] 徐彬,张泽锋,李艳伟,等.南京北郊春季气溶胶吸湿性分析[J]. 环境科学,2015,36(6):1911-1918.
[12] Zou J N, Yang S H, Hu B, et al. A closure study of aerosol optical properties as a function of RH using a κ-AMS-BC-Mie model in Beijing, China[J]. Atmospheric Environment,2019(197):1-13.
[13] Yan P, Pan X, Tang J, et al. Hygroscopic growth of aerosol scattering coefficient:a comparative analysis between urban and suburban sites at winter in Beijing[J]. Particuology,2009(7):52-60.
[14] Qi X, Sun J, Zhang L, et al. Aerosol hygroscopicity during the haze red-alert period in December 2016 at a rural site of the North China plain[J]. Journal of Meteorological Research,2018(32):38-48.
[15] Cheng Y F, Wiedensohler A, Eichler H, et al. Relative humidity dependence of aerosol optical properties and direct radiative forcing in the surface boundary layer at Xinken in Pearl River Delta of China:An observation based numerical study[J]. Atmospheric Environment,2008, 42(25):6373-6397.
[16] Liu X G, Cheng Y F, Zhang Y H, et al. Influences of relative humidity and particle chemical composition on aerosol scattering properties during the 2006 PRD campaign[J]. Atmospheric Environment,2008,42(7):1525-1536.
[17] Liu X G, Zhang Y H, Jung J, et al. Research on the hygroscopic properties of aerosols by measurement and modeling during CAREBeijing-2006[J]. Journal of Geophysical Research,2009,114(D2):D00G16.
[18] Pan X L, Yan P, Tang J, et al. Observational study of influence of aerosol hygroscopic growth on scattering coefficient over rural area near Beijing mega-city[J]. Atmospheric Chemistry and Physics,2009,9(19):7519-7530.
[19] Yan P, Pan X L, Tang J, et al. Hygroscopic growth of aerosol scattering coefficient:A comparative analysis between urban and suburban sites at winter in Beijing[J]. Particuology,2009,7(1):52-60.
[20] Zhang L, Sun J Y, Shen X J, et al. Observations of relative humidity effects on aerosol light scattering in the Yangtze River Delta of China[J]. Atmospheric Chemistry and Physics,2015,15(14):8439-8454.
[21] 祝好,王永前,陶金花,等. 基于气象要素的气溶胶吸湿增长分析:以浙江省为例[J]. 气候与环境研究,2019,24(2):186-198.

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备注/Memo

备注/Memo:
收稿日期:2020-09-17。
基金项目:国家自然科学基金（41505136）、中国气象局云雾物理环境重点开放实验室开放课题（2017Z016）、南京信息工程大学科研启动经费（2019R079）、2019年度大气与环境实验教学中心开放课题（KFKT2019G01）
作者简介:甘启航(1996-),男,学士,助理工程师,从事专业为天气预报和数据分析。E-mail:ganqihang@qq.com
通讯作者:邹嘉南(1990-),男,博士,讲师,研究方向为气溶胶物理化学。E-mail:Zoujn16@nuist.edu.cn
更新日期/Last Update: 1900-01-01