Optical Characterization of Aerosols in Gansu Province Based on CE-318 Observations

  • Fangfang HUANG ,
  • Weiqiang MA ,
  • Suichan WANG ,
  • Hong ZHANG ,
  • Xiaoyi KONG ,
  • Pinrui LU ,
  • Xudong WANG ,
  • Hao LIU ,
  • Yidan YAN
Expand
  • 1. Gansu Meteorological Information and Technology Support Center,Gansu Meteorological Bureau,Lanzhou 730020,Gansu,China
    2. Land-Atmosphere Interaction and its Climatic Effects Group,State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources (TPESER),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101,China
    3. College of Atmospheric Science,Lanzhou University,Lanzhou 730000,Gansu,China
    4. National Observation and Research Station for Qomolongma Special Atmospheric Processes and Environmental Changes,Dingri 858200,Xizang,China
    5. China -Pakistan Joint Research Center on Earth Sciences,Chinese Academy of Sciences,Islamabad 45320,Pakistan
    6. Lanzhou Meteorological Administration,Lanzhou 730030,Gansu,China

Received date: 2022-07-19

  Revised date: 2023-03-28

  Online published: 2024-01-11

Abstract

The quantitative analysis of ground-based observations of atmospheric aerosols is a basic way to understand the optical properties of aerosols and the characteristics of atmospheric pollution, which can provide a certain basis for exploring the direction of pollution control.In recent years, there are few studies on the analysis of aerosol optical properties in different regions of Gansu Province using ground-based observations.In order to understand the atmospheric aerosol optical characteristics of different land surfaces in Gansu Province, we obtained the aerosol optical depth (AOD) of four stations in Gansu Province through ASTPwin software based on CE-318 solar photometer observations from April 2018 to September 2020 and calculated the Angstrom wavelength index α.The distribution and variation characteristics of AOD and α in different regions of Gansu Province in different seasons and the relationship between aerosol optical depth and wavelength index were analyzed.The results show that: (1) the changes of AOD in each wavelength band tend to be consistent in all stations during the observation period, and the AOD value decreases with increasing wavelength.The AOD values of Lanzhou and Gaolan Mountain were the highest in winter, followed by spring and autumn, and the lowest in summer.The winter and spring AOD values of Lanzhou exceeded the annual average by 14.98% and 4.68%, respectively, and the winter AOD value of Gaolan Mountain exceeded the annual average by 3.88%.Dunhuang and Minqin both had the highest AOD values in spring, which were 24.49% and 26.30% higher than their respective annual averages.The seasonal distribution of AOD in Dunhuang was: spring > summer > winter > autumn, while Minqin showed a trend of gradually smaller values from spring to winter.(2) The dominant particles in Lanzhou and Gaolan Mountain are coarse modal in spring and summer, while fine particles dominate in autumn and winter.Dunhuang and Minqin atmospheric aerosols are dominated by coarse modal particles all year round.In the winter of 2019, the AOD value of Lanzhou was 68.0% higher than that of Gaolan Mountain; Dunhuang and Minqin had more serious sand and dust aerosol pollution in spring 2019, and the AOD value of Dunhuang exceeded that of Minqin by 42.42%.(3) The frequency distribution of AOD and α at all sites showed a single-peaked curve, with variability in the range of high-frequency distribution of AOD in different seasons, but they were all below 1.0.The distribution of high-frequency range of α was more complex, with the range of α distribution less than 1.0 in spring in Lanzhou, spring and summer in Gaolan Mountain, four seasons in Dunhuang, and spring, summer and autumn in Minqin, while α in summer, autumn and winter in Lanzhou, autumn and winter in Gaolan Mountain, and winter in Minqin was mainly distributed at 1.1 or above.(4) The relationship between AOD and α differs in different seasons, which shows that the size of the dominant particles of aerosol differs in different seasons when the atmosphere is seriously or locally polluted.In spring when the atmosphere is in local or serious pollution and in summer when the atmosphere is in local pollution, the aerosols at the four stations are mainly large particle size, with the contribution of sand and dust aerosols being larger.In summer when the atmosphere is in serious pollution, Gaolan Mountain aerosol is mainly fine mode particles, Lanzhou, Dunhuang and Minqin aerosol is still controlled by coarse mode, but the proportion of pollution caused by small particle size in Lanzhou is higher than the remaining two stations, of which more than 85% belongs to urban industrial - aerosol pollution.In autumn, when the atmosphere is in serious pollution, Lanzhou and Gaolan Mountain are both dominated by fine modal particles, of which urban industrial-aerosols account for a significant increase, while Dunhuang and Minqin are still dominated by coarse modal particles, of which dust aerosols account for a large proportion.In winter, Lanzhou is still dominated by fine modal particles, while the other three stations are dominated by coarse modal particles.In winter, Dunhuang and Minqin are dominated by coarse and fine modal particles, while Gaolan Mountain is dominated by fine modal particles when the atmosphere is locally polluted.The analysis shows that, in general, aerosol pollution in the northern part of Gansu is dominated by sand and dust aerosols, while aerosol pollution in the southern part of Gansu shows alternating coarse-mode and fine-mode particles, which provides some references for the next study of aerosol properties and atmospheric pollution characteristics in different regions of Gansu by combining satellite remote sensing data.

Cite this article

Fangfang HUANG , Weiqiang MA , Suichan WANG , Hong ZHANG , Xiaoyi KONG , Pinrui LU , Xudong WANG , Hao LIU , Yidan YAN . Optical Characterization of Aerosols in Gansu Province Based on CE-318 Observations[J]. Plateau Meteorology, 2024 , 43(1) : 241 -253 . DOI: 10.7522/j.issn.1000-0534.2023.00030

References

null
Allen W H1965.Dictionary of technical terms for aerospace use[R].Washington, DC: NASA.
null
Six D Fily M Blarel L, et al, 2005.First aerosol optical thickness measurements at Dome C (East Antarctica).summer season 2003-2004[J].Atmospheric Environment, 39: 5041-5050.
null
Dubovik O Holben B N Eck T, et al, 2002.Variability of absorption and optical properties of key aerosol types observed in worldwide locations[J].Journal of the Atmospheric Science59(3): 590-608.
null
Gui K Che H Z Chen Q, et al, 2017.Water vapor variation and the effect of aerosols in China[J].Atmospheric Environment, 165: 322-335.DOI: 10.1016/j.atmosenv.2017.07.005 .
null
Li Z Q Niu F Fan J W, et al, 2011.Long-term impacts of aerosols on the vertical development of clouds and precipitation[J].Nature Geoscience4(12): 888-894.DOI: 10.1038/ngeo1313 .
null
Perrone M R Santese M Tafuro A M, et al, 2005.Aerosol load characterization over South-East Italy for one year of AERONET sun-photometer measurements[J].Atmospheric Research, 75: 111-133.
null
Ramanathan V Li F Ramana M V, et al, 2007.Atmospheric brown clouds: Hemispherical and regional variations in long-range transport, absorption, and radiative forcing[J].Journal of Geophysical Research-Atmospheres, 112: D22S21.DOI: 10.1029/2006JD008124 .
null
Sch?fer K Thomas W Peters A, et al, 2011.Influences of the 2010 Eyjafjallaj?kull volcanic plume on air quality in the northern Alpine region[J].Atmospheric Chemistry and Physics, 11: 8555-8575.DOI: 10.5194/acp-11-8555-2011 .
null
Tie X X Wu D Brasseur G2009.Lung cancer mortality and exposure to atmospheric aerosol particles in Guangzhou, China[J].Atmospheric Environment, 43: 2375-2377.DOI: 10.1016/j.atmosenv.2009.01.036 .
null
Twomey S A1977.The influence of pollution on the shortwave albedo of clouds[J].Atmospheric Sciences34(1): 1149-1152.DOI: 10.1175/1520-0469(1977)0342.0.CO; 2 .
null
陈雪, 2021.2013—2019年兰州市城市环境空气质量变化趋势研究[D].兰州: 兰州大学.DOI: 10.27204/d.cnki.glzhu.2021. 002555.Chen X, 2021.Study on the variation trend of ambient air quality in Lanzhou from 2013 to 2019[D].Lanzhou: Lanzhou University.DOI: 10.27204/d.cnki.glzhu.2021.002555 .
null
杜韬, 2022.兰州大气细颗粒物和臭氧的污染特征、形成机制及相互作用[D].兰州: 兰州大学.DOI: 10.27204/d.cnki.glzhu.2022.000155.Du T, 2022.Pollution characteristics, formation mechanism and interaction of atmospheric fine particulate matter and ozone in Lanzhou[D].Lanzhou: Lanzhou university.DOI: 10.27204/d.cnki.glzhu.2022.000155 .
null
关勖, 2022.西北半干旱区典型城市吸收性气溶胶的垂直分布和辐射效应[D].兰州: 兰州大学.DOI: 10.27204/d.cnki.glzhu.2022.000152.Guan X, 2022.Guan vertical distribution and radiative effects of absorbing aerosols in a typical city in the semi-arid region of northwest China[D].Lanzhou: Lanzhou university.DOI: 10.27204/d.cnki.glzhu.2022.000152 .
null
黄悦, 陈斌, 董莉, 等, 2021.利用星载和地基激光雷达分析2019年5月东亚沙尘天气过程[J].大气科学45(3): 524-538.DOI: 10.3878/j.issn.1006-9895.2008.19249.Huang Y
null
Chen B Dong L, et al, 2021.Analysis of a dust weather process over East Asia in May 2019 based on satellite and ground-based lidar[J].Chinese Journal of Atmospheric Sciences45(3): 524-538.DOI: 10.3878/j.issn.1006-9895.2008.19249 .
null
菅煜婷, 张勃, 黄浩, 2022. 近 58年甘肃气候变化区域差异分析及环流影响[J].高原气象, 41(5): 1291-1301.DOI: 10.7522/j.issn.1000-0534.2021.00066.Jian Y T
null
Zhang B Huang H2022.Regional difference analysis of climate change in Gansu province in recent 58 years and its impact on circulation[J].Plateau Meteorology41(5): 1291-1301.DOI: 10.7522/j.issn. 1000-0534.2021.00066 .
null
李海龙, 张自力, 李正泉, 等, 2018.基于CE318数据的杭州市气溶胶光学特征研究[J].科技通报34(6): 46-53.DOI: 10. 13774/j.cnki.kjtb.2018.06.010.Li H L
null
Zhang Z L Li Z Q, et al, 2018.Aerosol optical properties in Hangzhou based on CE318 data[J].Bulletin of Science And Technology34(6): 46-53.DOI: 10.13774/j.cnki.kjtb.2018.06.010 .
null
李梦倩, 2021.兰州市二次有机气溶胶生成潜势及污染特征研究[D].兰州: 兰州大学.DOI: 10.27204/d.cnki.glzhu. 2021. 002397.Li M Q, 2021.Formation potential and pollution characteristics of secondary organic aerosol in Lanzhou, China[D].Lanzhou: Lanzhou University.DOI: 10.27204/d.cnki.glzhu.2021.002397 .
null
李明明, 王雁, 闫世明, 等, 2018.基于太阳光度计大气气溶胶光学厚度变化特征研究[C].北京: 第 35 届中国气象学会年会 S12大气成分与天气、气候变化与环境影响暨环境气象预报及影响评估, 280-286.Li M M, Wang Y, Yan S M, et al, 2018.Variation Characteristics of Atmospheric Aerosol Optical Depth in Taiyuan[C].Beijing: 35th Annual Meeting of the Chinese Meteorological Society S12 Atmospheric Composition and Weather, Climate Change and Environmental Impacts and Environmental Meteorological Forecasting and Impact Assessment, 280-286.
null
李霞, 陈勇航, 胡秀清, 等, 2005.乌鲁木齐大气气溶胶的光学特性分析[J].中国环境科学(S1): 22-25.Li X, Chen Y H, Hu X Q, et al, 2005, Analysis of atmospheric aerosol optical properties over Urumqi[J].China Environmental Science(S1): 22-25.
null
李岩瑛, 张春燕, 张爱萍, 等, 2022.河西走廊春季沙尘暴大气边界层垂直结构特征[J].气象48(9): 1171-1185.
null
Li Y Y Zhang C Y Zhang A P, et al, 2022.Vertical structure characteristics of atmospheric boundary layer in spring sandstorm over Hexi Corridor[J].Meteorological Monthly48(9): 1171-1185.
null
刘浩, 高小明, 谢志英, 等, 2015.京津冀晋鲁区域气溶胶光学厚度的时空特征[J].环境科学学报35(5): 1506-1511.
null
Liu H Gao X M Xie Z Y, et al, 2015.Spatio-temporal characteristics of aerosol optical depth over Beijing-Tianjin-Hebei-Shanxi-Shandong region during 2000-2013[J].Acta Scientiae Circumstantiae35(5): 1506-1511.
null
刘慧, 余晔, 夏敦胜, 等, 2020.基于太阳光度计的兰州市秋季气溶胶光学特性[J].高原气象39(1): 204-212.DOI: 10.7522/j.issn.1000-0534.2019.00057.Liu H
null
Yu Y Xia D S, et al, 2020.Analysis on autumn aerosol optical characteristics at Lanzhou with sun-photometer[J].Plateau Meteorology39(1): 204-212.DOI: 10.7522/j.issn.1000-0534.2019.00057 .
null
刘莹, 林爱文, 覃文敏, 等, 2019.1990~2017 年中国地区气溶胶光学厚度的时空分布及其主要影响类型[J].环境科学40(6): 2572-2581.DOI: 10.13227/j.hjkx.201809220.Liu Y
null
Lin A W Tan W M, et al, 2019.Spatial-temporal distribution of aerosol optical depth and its main influence types in China during 1990-2017[J].Environmental Science40(6): 2572-2581.DOI: 10.13227/j.hjkx.201809220 .
null
刘玉杰, 牛生杰, 郑有飞, 2004.用CE-318太阳光度计资料研究银川地区气溶胶光学厚度特性[J].南京气象学院学报(5): 615-622.DOI: 10.13878/j.cnki.dqkxxb.2004.05.005.Liu Y J
null
Niu S J Zheng Y F2004.Optical depth characteristics of Yinchuan atmospheric aerosols based on the CE-318 sun tracking spectrophotometer data[J].Journal of Nanjing Institute of Meteorology(5): 615-622.DOI: 10.13878/j.cnki.dqkxxb.2004.05.005 .
null
卢永正, 2000.气溶胶科学引论[M].北京: 原子能出版社.Lu Y Z, 2000.Introduction to aerosol science[M].Beijing: Atomic Energy Press.
null
罗宇翔, 陈娟, 郑小波, 等, 2012.近10 年中国大陆 MODIS遥感气溶胶光学厚度特征[J].生态环境学报21(5): 876-883.DOI: 10.16258/j.cnki.1674-5906.2012.05.026.Luo Y X
null
Chen J Zheng X B, et al, 2012.Climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data[J].Ecology and Environmental Sciences21(5): 876-883.DOI: 10.16258/j.cnki.1674-5906.2012.05.026 .
null
麻金继, 杨世植, 张玉平, 2005.厦门海域气溶胶光学特性的观测研究[J].量子电子学报2005(3): 473-476.
null
Ma J J Yang S Z Zhang Y P2005.Measurements and study of aerosol optical characterization over Xiamen sea region[J].Chinese Journal of Quantum Electronics, 2005(3): 473-476.
null
马玉娟, 陈艳拢, 赵建华, 等, 2020.北黄海圆岛海域MODIS气溶胶光学厚度产品有效性验证[J].海洋环境科学39(1): 99-105.DOI: 10.13634/j.cnki.mes.2020.01.014.Ma Y J
null
Chen Y L Zhao J H, et al, 2020.Validation of MODIS aerosol optical depth over Yuandao in the North Yellow Sea[J].Marine Environmental Science39(1): 99-105.DOI: 10.13634/j.cnki.mes. 2020.01.014 .
null
毛节泰, 张军华, 王美华, 2002.中国大气气溶胶研究综述[J].气象学报60(5): 625-634.
null
Mao J Q Zhang J H Wang M H2002.Summary comment on research of atmospheric aerosl in China[J].Acta Meteorological Sinica60(5): 625-634.
null
牟福生, 李素文, 李昂, 等, 2018.利用太阳光度计进行北京地区气溶胶光学性质研究[J].大气与环境光学学报13(2): 88-96.
null
Mou F S Li S W Li A, et al, 2018.Aerosol optical properties in Beijing based on observation by sun-photometer[J].Journal of Atmospheric and Environmental Optics13(2): 88-96.
null
任宜勇, 李霞, 吕鸣, 等, 2006.CE318太阳光度计观测资料应用前景及其解读[J].气象科技2006(3): 349-352.DOI: 10.19517/j.1671-6345.2006.03.029.Ren Y Y
null
Li X M, et al, 2006.Application prospect of measurement by sun-photometer CE318 and retrieval methodology[J].Meteorological Science and Technology2006(3): 349-352.DOI: 10.19517/j.1671-6345. 2006.03.029 .
null
盛丹睿, 温小虎, 冯起, 等, 2021.2018年春季西北五省省会城市大气质量与健康风险评价[J].高原气象40(1): 200-208.DOI: 10.7522/j.issn.1000-0534.2019.00113.Sheng D R
null
Wen X H Feng Q, et al, 2021.Air quality and health risk assessment of capital cities in five northwest provinces of China in the Spring of 2018[J].Plateau Meteorology40(1): 200-208.DOI: 10.7522/j.issn.1000-0534.2019 .
null
宋广宁, 杨小银, 付培健, 2013.兰州市大气气溶胶的太阳光度计观测分析[J].兰州大学学报(自然科学版)49(4): 470-473+482.
null
Song G N Yang X Y Fu P J2013.Aerosol optical parameter observations in Lanzhou City[J].Journal of Lanzhou University (Natural Sciences)49(4): 470-473+482.
null
王贺, 曹念文, 王鹏, 等, 2017.南京地区大气气溶胶综合观测与对比分析[J].遥感学报21(1): 125-135.
null
Wang H Cao N W Wang P, et al, 2017.Aerosol comprehensive observation and analysis in Nanjing area[J].Journal of Remote Sensing21(1): 125-135
null
王智敏, 热苏力·阿不拉, 冯婉悦, 等, 2019.新疆地区不同下垫面气溶胶光学特性的分析[J].冰川冻土41(6): 1367-1376.DOI: 10.7522/j.issn.1000-0240.2019.0087.Wang Z M
null
Abla Rasul Feng W Y, et al, 2019.Analysis of aerosol optical properties on different underlying surfaces in Xinjiang[J].Journal of Glaciology and Geocryology41(6): 1367-1376.DOI: 10. 7522/j.issn.1000-0240.2019.0087 .
null
吴立新, 吕鑫, 秦凯, 等, 2016.基于太阳光度计地基观测的徐州气溶胶光学特性变化分析[J].科学通报61(20): 2287-2298.
null
Wu L X X Qin K, et al, 2016.Analysis to Xuzhou aerosol optical characteristics with ground-based measurements by sun photometer[J].Science China Press61(20): 2287-2298.
null
徐丹, 邓孺孺, 陈启东, 等, 2015.基于CE318观测的广州市气溶胶光学特性[J].热带地理35(1): 21-28.DOI: 10.13284/j.cnki.rddl.002660.Xu D
null
Deng R R Chen Q D, et al, 2015.Aerosol optical properties in Guangzhou based on the CE318 data[J].Tropical Geography35(1): 21-28.DOI: 10.13284/j.cnki.rddl.002660 .
null
徐小红, 余兴, 朱延年, 等, 2021.气溶胶对中国中纬度夏季低层风速的影响[J].高原气象40(2): 367-373.DOI: 10.7522/j.issn.1000-0534.2020.00037.Xu X H
null
Yu X Zhu Y N, et al, 2021.Impact of aerosol on the summer wind speed at the lower layer in the mid-latitude of China[J].Plateau Meteorology40(2): 367-373.DOI: 10.7522/j.issn.1000-0534.2020.00037 .
null
杨志峰, 张小曳, 车慧正, 等, 2008.CE318型太阳光度计标定方法初探[J].应用气象学报19(3): 297-305.
null
Yang Z F Zhang X Y Che H Z, et al, 2008.An introductory study on the calibration of CE318 sun-photometer[J].Journal of Applied Meteorological Science19(3): 297-305.
null
于杰, 车慧正, 陈权亮, 等, 2016.2010-2012年我国西北地区沙尘个例气溶胶特征分析[J].气象与环境科学39(2): 33-40.DOI: 10.16765/j.cnki.1673-7148.2016.02.005.Yu J
null
Che H Z Chen Q L, et al, 2016.Characteristics analysis of aerosol on dust weather cases in northwestern China from 2010 to 2012[J].Meteorological and Environmental Sciences39(2): 33-40.DOI: 10.16765/j.cnki.1673-7148.2016.02 .
null
于志翔, 李霞, 于晓晶, 等, 2022.2003-2019年新疆气溶胶光学厚度时空变化特征[J].干旱区地理45(2): 346-358.
null
Yu Z X Li X Yu X J, et al, 2022.Spatiotemporal variation characteristics of aerosol optical depth in Xinjiang from 2003 to 2019[J].Arid Land Geography45(2): 346-358.
null
曾唯, 郝庆菊, 赵仲婧, 等, 2020.北碚区气溶胶光学厚度特征及其与颗粒物浓度的相关性[J].环境科学41(3): 57-67.DOI: 10.13227/j.hjkx.201907068.Zeng W
null
Hao Q J Zhao Z J, et al, 2020.Characteristics of aerosol optical depth in the urban area of Beibei and its correlation with particle concentration[J].Environmental Science41(3): 57-67.DOI: 10.13227/j.hjkx. 201907068 .
null
张小曳, 2014.中国不同区域大气气溶胶化学成分浓度、组成与来源特征[J].气象学报72(6): 1108-1117.
null
Zhang X Y2014.Characteristics of the chemical components of aerosol particles in the various regions over China[J].Acta Meteorological Sinica72(6): 1108-1117.
null
赵秀娟, 陈长和, 袁铁, 等, 2005.兰州冬季大气气溶胶光学厚度及其与能见度的关系[J].高原气象24(4): 617-622.
null
Zhao X J Chen C H Yuan T, et al, 2005.Lanzhou aerosol optical depth in winter and their relation with visibility[J].Plateau Meteorology24(4): 617-622.
null
郑玉蓉, 王旭红, 崔思颖, 等, 2022.基于地基太阳光度计观测的长安区气溶胶光学特性变化及其与颗粒物浓度的关系[J].环境科学43(7): 3494-3507.DOI: 10.13227/j.hjkx.202109055.Zheng Y H
null
Wang X H Cui S Y, et al, 2022.Aerosol optical characteristics with ground-based measurements via sun photometer and its relationship with PM particle concentration in Chang'an[J].Environmental Science43(7): 3494-3507.DOI: 10. 13227/j.hjkx.202109055 .
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