颗粒物分界层Mie散射激光雷达识别的sigmoid算法
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摘要
基于成都市2013年6月～2015年5月期间由Mie散射激光雷达探测的大气消光系数廓线资料,发现混合层以上在颗粒物消光和分子消光之间一致存在一个S型的过渡区,利用sigmoid函数对此分布形态进行模拟,通过计算该函数上下曲率最大点所在的高度,据此提出了颗粒物分界层Mie散射激光雷达识别的sigmoid算法.针对该算法模拟效果的分析表明,颗粒物分界层过渡区附近大气消光系数理论廓线和实测廓线保持了高度的相关性,二者在春夏秋冬四季的相关系数(R)分别为0.9971±0.0052、0.9935±0.0167、0.9979±0.0038和0.9990±0.0021(均通过a=0.05的显著性检验).基于sigmoid算法计算的颗粒物分界层过渡区与成都市温江站探空资料得到的逆温层之间存在很好的对应关系.
Based on the data of atmospheric extinction coefficient detected by Mie scattering lidar from June 2013 to May 2015 of Chengdu, it was found that there was a S-shaped transitional zone between aerosol extinction and molecular extinction above mixing layer, and sigmoid function was used to simulate this vertical distribution. By obtaining the heights of the upper and lower maximum curvature points of the function, a sigmoid algorithm for calculating the transition zone of particle boundary layer based on Mie scattering lidar was proposed. The results showed that, as to the atmospheric extinction coefficient in the transition zone and its vicinity, simulated profiles and measured ones maintained a significant correlation, and the correlation coefficients of the two in spring, summer, autumn and winter were 0.9971±0.0052, 0.9935±0.0167, 0.9979±0.0038 and 0.99895±0.0021 respectively(Passing the significance test of 0.05). Further researches indicated that there existed a good correspondence between the transition zone of particle boundary layer calculated by sigmoid algorithm and the inversion layer identified by sounding data in Wenjiang station.
Based on the data of atmospheric extinction coefficient detected by Mie scattering lidar from June 2013 to May 2015 of Chengdu, it was found that there was a S-shaped transitional zone between aerosol extinction and molecular extinction above mixing layer, and sigmoid function was used to simulate this vertical distribution. By obtaining the heights of the upper and lower maximum curvature points of the function, a sigmoid algorithm for calculating the transition zone of particle boundary layer based on Mie scattering lidar was proposed. The results showed that, as to the atmospheric extinction coefficient in the transition zone and its vicinity, simulated profiles and measured ones maintained a significant correlation, and the correlation coefficients of the two in spring, summer, autumn and winter were 0.9971±0.0052, 0.9935±0.0167, 0.9979±0.0038 and 0.99895±0.0021 respectively(Passing the significance test of 0.05). Further researches indicated that there existed a good correspondence between the transition zone of particle boundary layer calculated by sigmoid algorithm and the inversion layer identified by sounding data in Wenjiang station.
引文
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[2]Wu Y,Hao J-M,Fu L X,et al.2002.Vertical and horizontal profiles of airborne particulate matter near major roads in Macao,China[J].Atmospheric Environment,36(31):4907-4918.
[3]丁国安,陈尊裕,高志球,等.北京城区低层大气PM10和PM2.5垂直结构及其动力特征[J].中国科学:地球科学,2005,35(s1):31-44.
[4]Wang Z,Chen L,Tao J,et al.Satellite-based estimation of regional particulate matter(PM)in Beijing using vertical-and-RH correcting method[J].Remote Sensing of Environment,2010,114(1):50-63.
[5]孙玫玲,穆怀斌,吴丹朱,等.天津城区秋季PM2.5质量浓度垂直分布特征研究[J].气象,2008,34(10):60-66.
[6]何涛,侯鲁健,吕波,等.激光雷达探测反演PM2.5浓度的精度研究[J].中国激光,2013,40(1):206-211.
[7]Luo T,Yuan R,Wang Z.Lidar-based remote sensing of atmospheric boundary layer height over land and ocean[J].Atmospheric Measurement Techniques,2014,7(1):173-182.
[8]胡欢陵,吴永华,谢晨波,等.北京地区夏冬季颗粒物污染边界层的激光雷达观测[J].环境科学研究,2004,17(1):59-66.
[9]韩道文,刘文清,刘建国,等.气溶胶质量浓度空间垂直分布的反演方法[J].中国激光,2006,33(11):1567-1573.
[10]吕阳,李正强,尹鹏飞,等.结合地基激光雷达和太阳辐射计的气溶胶垂直分布观测[J].遥感学报,2013,17(4):1008-1020.
[11]Hoff R M,Guise-Bagley L,Staebler R M,et al.Lidar,nephelometer,and in situ aerosol experiments in southern Ontario[J].Journal of Geophysical Research Atmospheres,1996,101(D14):19199-19209.
[12]Menut L,Flamant C,Pelon J,et al.Urban boundary-layer height determination from mixing layer measurements over the paris area.[J].Applied Optics,1999,38(6):945-954.
[13]Steyn D G,Baldi M,Hoff R M.The detection of mixed layer depth and entrainment zone thickness from mixing layer backscatter profiles[J].Journal of Atmospheric&Oceanic Technology,1999,16(7):953-959.
[14]Brooks I M.Finding Boundary Layer Top:Application of a Wavelet Covariance Transform to Lidar Backscatter Profiles[J].Journal of Atmospheric&Oceanic Technology,2003,20(8):1092-1105.
[15]朱育雷,倪长健,谭钦文,等.基于logistic曲线识别混合层高度的新方法[J].中国环境科学,2017,37(5):1670-1676.
[16]朱育雷,倪长健,孙欢欢,等.MODIS卫星遥感AOD反演近地面“湿”消光系数新模型的构建及应用[J].环境科学学报,2017,37(7):2468-2473.
[17]夏俊荣,吴丹,齐冰,等.华北香河站一次霾污染事件的综合观测研究[J].气象与环境科学,2016,39(2):10-17.
[18]于彩霞,吴瑞娇.基于CALIOP的安徽沿淮地区霾天气溶胶类型及垂直分布特征[J].环境科学学报,2018,38(4):1317-1326.
[19]周书华,倪长健,刘培川.成都市温江边界层风场特征的研究[J].四川环境,2014,33(3):30-35.
[20]倪长健,丁晶,李祚泳.免疫进化算法[J].西南交通大学学报,2003,38(1):87-91.
[21]毛节泰,张军华,王美华.中国大气气溶胶研究综述[J].气象学报,2002,60(5):625-634.
[22]孟宁,贝耐芳,李国辉,等.关中地区冬季人为源减排对PM2.5浓度的影响[J].中国环境科学,2017,37(5):1646-1656.