激光雷达观测淮南大气SO_2和NO_2浓度廓线实例分析
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摘要
为了初步探究淮南地区大气SO_2及NO_2的不同时空分布特征,采用自研的差分吸收激光雷达系统测得某地(淮南地区)部分月份大气SO_2及NO_2气体浓度分布廓线,并选取其中典型实例从气体水平浓度日变化、垂直浓度变化以及水平浓度月变化3个方面分析了SO_2及NO_2分布特点。结果表明,同一天夜晚时刻,SO_2及NO_2气体浓度大于下午时刻的气体浓度;SO_2及NO_2气体垂直浓度随高度增加呈递减趋势;SO_2及NO_2气体水平浓度月变化变现为冬季月份气体浓度最大,夏季月份气体浓度最小,春、秋季月份次之。SO_2及NO_2浓度变化特征是人群活动和气象条件变化共同作用的结果。
In order to preliminarily explore the spatial and temporal distribution characteristics of SO_2 and NO_2 in the atmosphere of Huainan area, one self-developed differential absorption lidar system was used to measure the distribution profiles of SO_2 and NO_2 concentrations in the atmosphere of a certain Huainan area in some months. The typical examples were selected and the distribution characteristics of SO_2 and NO_2 were analyzed from three aspects of diurnal variation of horizontal concentration, variation of vertical concentration and monthly variation of horizontal concentration of gases. The results show that, the concentration of SO_2 and NO_2 at night on the same day was higher than that at afternoon. The vertical concentration of SO_2 and NO_2 decreased with the increase of altitude. The monthly variation of horizontal concentration of SO_2 and NO_2 gas is the highest in winter and the lowest in summer, the second in spring and autumn months. The variation of SO_2 and NO_2 concentration is the result of the interaction of population activities and meteorological conditions.
In order to preliminarily explore the spatial and temporal distribution characteristics of SO_2 and NO_2 in the atmosphere of Huainan area, one self-developed differential absorption lidar system was used to measure the distribution profiles of SO_2 and NO_2 concentrations in the atmosphere of a certain Huainan area in some months. The typical examples were selected and the distribution characteristics of SO_2 and NO_2 were analyzed from three aspects of diurnal variation of horizontal concentration, variation of vertical concentration and monthly variation of horizontal concentration of gases. The results show that, the concentration of SO_2 and NO_2 at night on the same day was higher than that at afternoon. The vertical concentration of SO_2 and NO_2 decreased with the increase of altitude. The monthly variation of horizontal concentration of SO_2 and NO_2 gas is the highest in winter and the lowest in summer, the second in spring and autumn months. The variation of SO_2 and NO_2 concentration is the result of the interaction of population activities and meteorological conditions.
引文
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[2] TANG X Y,ZHANG Y H,SHAO M,et al.Atmospheric environmental chemistry[M].2nd ed.Beijing:Higher Education Press,2006:40-44(in Chinese).
[3] YAN P,LI X Sh,LUO Ch,et al.Observational analysis of surface O3,NOx and SO2 in China [J].Quarterly Journal of Applied Meteo-rology,1997,8(1):53-61(in Chinese).
[4] CHATTERTON T,DORLING S,LOVETT A,et al.Air quality in Norwich,UK multi-scale modelling to assess the significance of city,county and regional pollution sources[M].Urban Air Quality:Mea-surement,Modelling and Management.Springer Netherlands,2000,15(3):425-433.
[5] MENG Y J,CHENG C L.Impact of surface synoptic situations on air pollution in Beijing area[J].Meteor Mon,2001,28(4):42-46(in Chinese).
[6] WEI Y X,TONG Y Q,YIN Y,et al.The variety of main air pollutants concentration and its relationship with meteorological condition in Nanjing city[J].Transactions of Atmospheric Sciences,2009,32(3):451-457(in Chinese).
[7] HUANG J,HU Sh X,CAO K F,et al.Design of three dimensional scanning control system for air pollution monitoring Lidar based on LabVIEW [J].Journal of Atmospheric and Environmental Optics,2013,8(2):124-129(in Chinese).
[8] LIN J M,CAO K F,HU Sh X,et al.The experiment study of SO2 measurement by differential absorption Lidar[J].Infrared and Laser Engineering,2015,44(3):872-879(in Chinese).
[9] LIU Q W,WANG X B,CHEN Y F,et al.Detection of atmospheric NO2 concentration by differential absorption Lidar based on dye lasers [J].Acta Optica Sinica,2017,37(4):428004(in Chinese).
[10] WEITKAMP C.Lidar range resolved optical remote sensing of the atmosphere [M].New York:Springer-Verlag New York Inc.,2005:187-209.
[11] LIU X H,HONG Zh X,LI J L,et al.Meteorological and chemical parameters determining the photochemical air pollution in Beijing[J].Climatic and Environmental Research,1999,4(3):231-236(in Chinese).
[12] YIN D Zh,HONG Zh X.Study on the boundary layer structure and parameters under heavy pollution conditions in Beijing[J].Climatic and Environmental Research,1999,4(3):303-307(in Chinese).
[13] MA Zh Q,WANG Y S,SUN Y,et al.Characteristics of vertical air pollutants in Beijing[J].Research of Environmental Sciences,2007,20(5):1-6(in Chinese).
[14] CA G L,ZHANG X Y,GONG S L,et al.Emission inventories of primary particles and pollutant gases for China[J].Chinese Science Bulletin,2011,56(8):781-788.
[15] STRETS D G,BOND T C,CARMICHAEL G R,et al.An inventory of gaseous and primary aerosol emissions in Asia in the year 2000[J].Journal of Geophysical Research Atmospheres,2003,108(D21):GTE30-1.
[16] HE J J,WU L,MAO H J,et al.Impacts of meteorological conditions on air quality in urban Langfang,Hebei Province[J].Research of Environmental Sciences,2016,29(6):791-799(in Ch-inese).
[17] ZHANG L,LIAO H,LI J P.Impacts of Asian summer monsoon on seasonal and interannual variations of aerosols over eastern China[J].Journal of Geophysical Research Atmospheres,2010,115(7):2232-2232.
[18] WANG Zh B,FANG Ch L,XU G,et al.Spatial-temporal characteristics of the PM2.5 in 2014[J].Acta Geographica Sinica,2015,70(11):1720-1734(in Chinese).
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