南宁市地基遥感气溶胶光学厚度与?ngstr?m指数研究
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摘要
利用CE318地基观测的光学特性数据,反演南宁市气溶胶光学厚度、?ngstr?m波长指数α、浑浊度系数β,对光学特性的月、季节、日变化以及典型天气作了分析,并利用图解法研究南宁市气溶胶分类,加深对该地区气溶胶认识的同时也为南宁市气溶胶研究提供参考。结果表明:(1) AOD最高值和最低值分别出现在3月份、8月份,年平均值为(0. 53±0. 09),春季的AOD最高,夏季最低。AOD日变化曲线较平稳,且值较大的一天与PM2. 5、PM10走势一致。AOD高值区(AOD>0. 7)与海盐型气溶胶及细模态气溶胶吸湿增长有关。(2)α最大和最小值分别出现在4月和6月份,年平均值是(1. 34±0. 08),春季的α最高,秋季最低,气溶胶粒子中细粒子占主导作用,南宁市属城市—工业型气溶胶。(3)β最高值和最低值分别出现在11月份、8月份,年均值是(0. 22±0. 02),曲线变化走势和AOD一致,β值在0. 2左右,说明空气有污染但还是比较清洁的。
Using the optical characteristic data of CE318 ground observation,three indexes of Nanning City,including aerosol optical thickness, ?ngstr?m wavelength index(α), turbidity coefficient(β),were inverted. The variations of optical properties for monthly,seasonal and dailyand typical weather conditions were analyzed,and the aerosol classification in Nanning City was studied by means of graphic method. The results not only can help us to deepen the understanding of aerosols in the area,but also provide reference for the study of aerosols in Nanning City. It shows that:(1) The highest and lowest AOD values appear in March and August respectively,and the annual average is(0. 53 ± 0. 09),indicating that the highest AOD is in spring and the lowest in summer. The daily change curve of AOD is relatively stable,and the day with a larger value is consistent with the trend of PM2. 5 and PM10. The high AOD area(AOD > 0. 7) is related to the hygroscopic growth of sea salt aerosols and fine modal aerosols.(2) The maximum and minimum values of α appear in April and June respectively,and the annual average is(1. 34 ± 0. 08). The highest α in spring and the lowest in autumn,the fine particles in aerosol particles play a leading role,and Nanning is a city-industrial type. Aerosol.(3) The highest and lowest values of β appear in November and August respectively,and the annual average value was(0. 22±0. 02). The trend of the curve is consistent with AOD,and the β value is around 0.2,indicating that the air is polluted but still relatively clean.
Using the optical characteristic data of CE318 ground observation,three indexes of Nanning City,including aerosol optical thickness, ?ngstr?m wavelength index(α), turbidity coefficient(β),were inverted. The variations of optical properties for monthly,seasonal and dailyand typical weather conditions were analyzed,and the aerosol classification in Nanning City was studied by means of graphic method. The results not only can help us to deepen the understanding of aerosols in the area,but also provide reference for the study of aerosols in Nanning City. It shows that:(1) The highest and lowest AOD values appear in March and August respectively,and the annual average is(0. 53 ± 0. 09),indicating that the highest AOD is in spring and the lowest in summer. The daily change curve of AOD is relatively stable,and the day with a larger value is consistent with the trend of PM2. 5 and PM10. The high AOD area(AOD > 0. 7) is related to the hygroscopic growth of sea salt aerosols and fine modal aerosols.(2) The maximum and minimum values of α appear in April and June respectively,and the annual average is(1. 34 ± 0. 08). The highest α in spring and the lowest in autumn,the fine particles in aerosol particles play a leading role,and Nanning is a city-industrial type. Aerosol.(3) The highest and lowest values of β appear in November and August respectively,and the annual average value was(0. 22±0. 02). The trend of the curve is consistent with AOD,and the β value is around 0.2,indicating that the air is polluted but still relatively clean.
引文
[1]吴兑.华南气溶胶研究的回顾与展望[J].热带气象学报,2003,19(s1):145-151.
[2]顾昊元,肖翔,黄梦斌,等.松江区大气气溶胶光学厚度对PM2. 5浓度的影响[J].上海工程技术大学学报,2015,29(1):91-94.
[3] HOLBEN B N,TANRD,SMIRNOV A,et al. An emerging ground‐based aerosol climatology:Aerosol optical depth from AERONET[J]. Journal of Geophysical Research Atmospheres,2001,106(D11):12067-12097.
[4]徐丹,邓孺孺,陈启东,等.基于CE318观测的广州市气溶胶粒子谱分布特征[J].热带地理,2015,35(1):13-20.
[5]刘玉杰,牛生杰,郑有飞.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].大气科学学报,2004,27(5):615-622.
[6] XIA X,ECK T F,HOLBEN B N,et al. Analysis of the weekly cycle of aerosol optical depth using AERONET and MODIS data[J]. Journal of Geophysical Research,2008,113(D14):
[7]张勇,银燕,刘藴芳,等.北京秋季大气气溶胶光学厚度与Angstrom指数观测研究[J].中国环境科学,2014,34(6):1380-1389.
[8]张玉香,胡秀清,刘玉洁,等.北京地区大气气溶胶光学特性监测研究[J].应用气象学报,2002,13(s1):136-143.
[9]杜吴鹏,王跃思,辛金元,等. Reg CM3模式模拟我国春季气溶胶光学厚度及检验[J].中国环境科学,2012,32(1):1-9.
[10] MA Y,LI Z,LI Z,et al. Validation of MODIS aerosol optical depth retrieval over mountains in central China based on a sun-sky radiometer site of SONET[J]. Remote Sensing,2016,8(2):111.
[11] RUSSELL P B,BERGSTROM R W,SHINOZUKA Y,et al. Absorptionngstr9m Exponent in AERONET and related data as an indicator of aerosol composition[J]. Atmospheric Chemistry&Physics,2010,10(3):1155-1169.
[12]谢一凇,李东辉,李凯涛,等.基于地基遥感的灰霾气溶胶光学及微物理特性观测[J].遥感学报,2013,17(4):970-980.
[13]任宜勇,李霞,吕鸣,等. CE318太阳光度计观测资料应用前景及其解读[J].气象科技,2006,34(3):349-352.
[14] LI Z,XU H,LI K,et al. Comprehensive study of optical,physical,chemical and radiative properties of total columnar atmospheric aerosols over China:An overview of Sun-sky radiometer Observation NETwork(SONET)measurements[J].Bulletin of the American Meteorological Society,2018.
[15]杨志峰,张小曳,车慧正,等. CE318型太阳光度计标定方法初探[J].应用气象学报,2008,19(3):297-306.
[16]李正强,李东辉,李凯涛,等.扩展多波长偏振测量的太阳—天空辐射计观测网[J].遥感学报,2015,19(3):495-519.
[17] XIE Y,DONGHUI L I,KAITAO L I,et al. Aerosol optical and microphysical properties in haze days based on groundbased remote sensing measurements[J]. Journal of Remote Sensing,2013,17(4):970-980.
[18]NGSTRM A. The parameters of atmospheric turbidity[J]. Tellus,1964,16(1):64-75.
[19]赵仕伟,高晓清.基于MODIS数据的西北地区气溶胶光学厚度和ngstr9m波长指数的研究[J].大气与环境光学学报,2017(5):321-331.
[20] TANRD,KAUFMAN Y J,HOLBEN B N,et al. Climatology of dust aerosol size distribution and optical properties derived from remotely sensed data in the solar spectrum[J]. Journal of Geophysical Research Atmospheres,2001,106(D16):18205-18217.
[21] DUBOVIK O,HOLBEN B,ECK T F,et al. Variability of absorption and optical properties of key aerosol types observed in worldwide locations.[J]. J Atmos Sci,2002,59(3):590-608.
[22] ECK T F,HOLBEN B N,DUBOVIK O,et al. Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid-Pacific[J]. Journal of Geophysical Research-Atmospheres,2005,110(D06202):887-908.
[23]申彦波,沈志宝,汪万福. 2001年春季中国北方大气气溶胶光学厚度与沙尘天气[J].高原气象,2003,22(2):185-190.
[24] GONG S L,ZHANG X Y,ZHAO T L,et al. Characterization of soil dust aerosol in China and its transport and distribution during 2001 ACE-Asia:2. Model simulation and validation[M]. 2003.
[25] XIA X,LI Z,HOLBEN B,et al. Aerosol optical properties and radiative effects in the Yangtze Delta region of China[J].Journal of Geophysical Research Atmospheres,2007,112(D22):
[26]徐丹,邓孺孺,陈启东,等.基于CE318观测的广州市气溶胶光学特性[J].热带地理,2015,35(1):21-28.
[27]王静,牛生杰,许丹,等.南京一次典型雾霾天气气溶胶光学特性[J].中国环境科学,2013,33(2):201-208.
[28]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.
[29] KLEIDMAN R G,O’NEILL N T,REMER L A,et al. Comparison of moderate resolution imaging spectroradiometer(MODIS)and aerosol robotic network(AERONET)remote-sensing retrievals of aerosol fine mode fraction over ocean[J].Journal of Geophysical Research Atmospheres,2005,110(D22):
[30] GOBBI G P,KAUFMAN Y J,KOREN I,et al. Classification of aerosol properties derived from AERONET direct sun data[J]. Atmospheric Chemistry&Physics,2007,7(2):8713-8726.
[2]顾昊元,肖翔,黄梦斌,等.松江区大气气溶胶光学厚度对PM2. 5浓度的影响[J].上海工程技术大学学报,2015,29(1):91-94.
[3] HOLBEN B N,TANRD,SMIRNOV A,et al. An emerging ground‐based aerosol climatology:Aerosol optical depth from AERONET[J]. Journal of Geophysical Research Atmospheres,2001,106(D11):12067-12097.
[4]徐丹,邓孺孺,陈启东,等.基于CE318观测的广州市气溶胶粒子谱分布特征[J].热带地理,2015,35(1):13-20.
[5]刘玉杰,牛生杰,郑有飞.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].大气科学学报,2004,27(5):615-622.
[6] XIA X,ECK T F,HOLBEN B N,et al. Analysis of the weekly cycle of aerosol optical depth using AERONET and MODIS data[J]. Journal of Geophysical Research,2008,113(D14):
[7]张勇,银燕,刘藴芳,等.北京秋季大气气溶胶光学厚度与Angstrom指数观测研究[J].中国环境科学,2014,34(6):1380-1389.
[8]张玉香,胡秀清,刘玉洁,等.北京地区大气气溶胶光学特性监测研究[J].应用气象学报,2002,13(s1):136-143.
[9]杜吴鹏,王跃思,辛金元,等. Reg CM3模式模拟我国春季气溶胶光学厚度及检验[J].中国环境科学,2012,32(1):1-9.
[10] MA Y,LI Z,LI Z,et al. Validation of MODIS aerosol optical depth retrieval over mountains in central China based on a sun-sky radiometer site of SONET[J]. Remote Sensing,2016,8(2):111.
[11] RUSSELL P B,BERGSTROM R W,SHINOZUKA Y,et al. Absorptionngstr9m Exponent in AERONET and related data as an indicator of aerosol composition[J]. Atmospheric Chemistry&Physics,2010,10(3):1155-1169.
[12]谢一凇,李东辉,李凯涛,等.基于地基遥感的灰霾气溶胶光学及微物理特性观测[J].遥感学报,2013,17(4):970-980.
[13]任宜勇,李霞,吕鸣,等. CE318太阳光度计观测资料应用前景及其解读[J].气象科技,2006,34(3):349-352.
[14] LI Z,XU H,LI K,et al. Comprehensive study of optical,physical,chemical and radiative properties of total columnar atmospheric aerosols over China:An overview of Sun-sky radiometer Observation NETwork(SONET)measurements[J].Bulletin of the American Meteorological Society,2018.
[15]杨志峰,张小曳,车慧正,等. CE318型太阳光度计标定方法初探[J].应用气象学报,2008,19(3):297-306.
[16]李正强,李东辉,李凯涛,等.扩展多波长偏振测量的太阳—天空辐射计观测网[J].遥感学报,2015,19(3):495-519.
[17] XIE Y,DONGHUI L I,KAITAO L I,et al. Aerosol optical and microphysical properties in haze days based on groundbased remote sensing measurements[J]. Journal of Remote Sensing,2013,17(4):970-980.
[18]NGSTRM A. The parameters of atmospheric turbidity[J]. Tellus,1964,16(1):64-75.
[19]赵仕伟,高晓清.基于MODIS数据的西北地区气溶胶光学厚度和ngstr9m波长指数的研究[J].大气与环境光学学报,2017(5):321-331.
[20] TANRD,KAUFMAN Y J,HOLBEN B N,et al. Climatology of dust aerosol size distribution and optical properties derived from remotely sensed data in the solar spectrum[J]. Journal of Geophysical Research Atmospheres,2001,106(D16):18205-18217.
[21] DUBOVIK O,HOLBEN B,ECK T F,et al. Variability of absorption and optical properties of key aerosol types observed in worldwide locations.[J]. J Atmos Sci,2002,59(3):590-608.
[22] ECK T F,HOLBEN B N,DUBOVIK O,et al. Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid-Pacific[J]. Journal of Geophysical Research-Atmospheres,2005,110(D06202):887-908.
[23]申彦波,沈志宝,汪万福. 2001年春季中国北方大气气溶胶光学厚度与沙尘天气[J].高原气象,2003,22(2):185-190.
[24] GONG S L,ZHANG X Y,ZHAO T L,et al. Characterization of soil dust aerosol in China and its transport and distribution during 2001 ACE-Asia:2. Model simulation and validation[M]. 2003.
[25] XIA X,LI Z,HOLBEN B,et al. Aerosol optical properties and radiative effects in the Yangtze Delta region of China[J].Journal of Geophysical Research Atmospheres,2007,112(D22):
[26]徐丹,邓孺孺,陈启东,等.基于CE318观测的广州市气溶胶光学特性[J].热带地理,2015,35(1):21-28.
[27]王静,牛生杰,许丹,等.南京一次典型雾霾天气气溶胶光学特性[J].中国环境科学,2013,33(2):201-208.
[28]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.
[29] KLEIDMAN R G,O’NEILL N T,REMER L A,et al. Comparison of moderate resolution imaging spectroradiometer(MODIS)and aerosol robotic network(AERONET)remote-sensing retrievals of aerosol fine mode fraction over ocean[J].Journal of Geophysical Research Atmospheres,2005,110(D22):
[30] GOBBI G P,KAUFMAN Y J,KOREN I,et al. Classification of aerosol properties derived from AERONET direct sun data[J]. Atmospheric Chemistry&Physics,2007,7(2):8713-8726.
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