Abstract:Based on the aerosol observations of the micropulse lidar in Shijiazhuang City in winter 2016, the normalized gradient method and the gradient method were used to invert the atmospheric pollution boundary layer height, and the results were compared with the boundary layer height determined by sounding data in the same period. Typical cases were selected to analyze the process evolution characteristics of the height of the polluted boundary layer, and investigate the structure of the polluted boundary layer at different air quality levels. The results indicate that, the retrievals of these two approaches were consistent with the boundary layer height determined by sounding data and the correlation coefficients were 0.62 and 0.55, which passed the significance test of 0.05. However, the relative error were 19% and 34% indicating that the normalized gradient method was better than the gradient method. When the air quality were Moderate and Good, the accuracy of results was reduced with a maximum deviation of nearly 1000m. As the degree of pollution increases, the difference decreases. During the period of pollution, the height of the pollution boundary layer was generally less than 1000m, and the lowest height was about 400m at the heaviest pollution. The aerosol extinction coefficients of different air quality levels and heights had different vertical decline rates. Maximum vertical decline rate was at 400m height in polluted weather. It indicated that the heavy pollution accumulation layer was below 400m, and then the extinction coefficient decreased significantly with height increased. It was clean air above 700m.
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. Hu H L, Wu Y H, Xie C B, et al. Aerosol pollutant boundary layer measured by lidar at Beijing[J]. Research of Environmental Sciences, 2004,17(1):59-66.
[2]
邓涛,吴兑,邓雪姣,等.一次严重灰霾过程的气溶胶光学特性垂直分布[J]. 中国环境科学, 2013,33(11):1921-1928. Deng T, Wu D, Deng X J, et al. The vertical distribution of aerosol optical properties in a severe haze event[J]. China Environmental Science, 2013,33(11):1921-1928.
[3]
孙婷婷,张天舒,项衍,等.2018年春节期间京津冀地区污染过程分析[J]. 中国环境科学, 2020,40(4):1393-1402. Sun T T, Zhang T S, Xiang Y, et al. Analysis of the pollution process in the Beijing-Tianjin-Hebei region during the Spring Festival of 2018[J]. China Environmental Science, 2020,40(4):1393-1402.
[4]
桂海林,江琪,康志明,等.2016年冬季北京地区一次重污染天气过程边界层特征[J]. 中国环境科学, 2019,39(7):2739-2747. Gui H L, Jiang Q, Kang Z M, et al. Analysis of boundary layer characteristics of a heavily polluted weather process in Beijing in winter 2016[J]. China Environmental Science, 2019,39(7):2739-2747.
[5]
杨欣,陈义珍,刘厚凤,等.北京2013年1月连续强霾过程的污染特征及成因分析[J]. 中国环境科学, 2014,34(2):282-288. Yang X, Chen Y Z, Liu H F, et al. Characteristics and formation mechanism of a serious haze event in January 2013 in Beijing[j]. China Environmental Science, 2014,34(2):282-288.
[6]
孙永亮,赵天良,邱玉珺,等.成都一次霾过程中颗粒物消光作用的垂直变化[J]. 中国环境科学, 2018,38(5):1629-1636. Sun Y L, Zhao T L, Qiu Y J, et al. The vertical change in extinction effect of particles during a haze episode in Chengdu[J]. China Environmental Science, 2018,38(5):1629-1636.
[7]
樊文智,秦凯,韩旭,等.基于移动激光雷达观测的徐州市区气溶胶分布特征[J]. 中国环境科学, 2018,38(8):2857-2864. Fan W Z, Qin K, Han X, et al. Aerosol distribution characteristics in Xuzhou based on mobile lidar observation[J]. China Environmental Science, 2018,38(8):2857-2864.
[8]
杨富燕,张宁,朱莲芳,等.基于激光雷达和微波辐射计观测确定混合层高度方法的比较[J]. 高原气象, 2016,35(4):1102-1111. Yang F Y, Zang N, Zhu L F, et al. Comparison of the mixing layer height determination methods using lidar and microwave radiometer[J]. Plateau Meteorology, 2016,35(4):1102-1111.
[9]
高晓荣,谭浩波,邓涛,等.三种激光雷达监测污染物分布和输送对比[J]. 中国环境科学, 2018,38(2):444-454. Gao X R, Tan H B, Deng T, et al. Experimental results comparative analysis of pollutant distribution and transport by different kinds of Lidar[J]. China Environmental Science, 2018,38(2):444-454.
[10]
李霞,权建农,王飞,等.激光雷达反演边界层高度方法评估及在北京的应用[J]. 大气科学, 2018,42(2):435−446. Li X, Quan J N, Wang F, et al. Evaluation of the method for planetary boundary layer height retrieval by lidar and its application in Beijing[J]. Chinese Journal of Atmospheric Sciences (in Chinese), 2018,42(2):435-446.
[11]
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, 2008,33(11):1567-1573. Han D W, Liu W Q, Liu J G, et al. Retrieval method for aerosol mass concentration vertical distribution[J]. Chinese journal of lasers, 2008, 33(11):1567-1573.
[12]
张春光,张玉钧,韩道文,等.气溶胶质量浓度垂直分布反演模型的研究[J]. 激光技术, 2009,33(3):303-306. Zhang C G, Zhang Y J, Han D W, et al. Study on retrieval model for vertical distribution of aerosol mass concentration[J]. Laser technology, 2009,33(3):303-325.
[13]
王耀庭,苗世光,张小玲.基于激光雷达的北京市气溶胶光学参数季节特征[J]. 中国环境科学, 2016,36(4):970-978. Wang Y T, Miao S G, Zhang X L. Seasonal characteristics of the aerosol optical parameters based on lidar over the Beijing Area[J]. China Environmental Science, 2016,36(4):970-978.
[14]
朱育雷,倪长健,邓佩云.颗粒物分界层Mie散射激光雷达识别的sigmoid算法[J]. 中国环境科学, 2018,38(10):3654-3661. Zhu Y L, Ni C J, Deng P Y. Sigmoid algorithm for calculating particle boundary layer based on mie scattering lidar[J]. China Environmental Science, 2018,38(10):3654-3661.
[15]
黄俊,廖碧婷,王春林,等.新型垂直探测资料在污染天气分析中的应用[J]. 中国环境科学, 2019,39(1):92-105. Huang J, Liao B T, Wang C L, et al Application of new vertical detection data in the analysis of a heavy pollution weather[J]. China Environmental Science, 2019,39(1):92-105.
[16]
宋秀瑜,曹念文,赵成,等.南京地区相对湿度对气溶胶含量的影响[J]. 中国环境科学, 2018,38(9):3240-3246. Song X Y, Cao N W, Zhao C, et al. Effect of relative humidity on aerosol content in Nanjing[J]. China Environmental Science, 2018, 38(9):3240-3246.
[17]
陈静,张艳品,杨鹏,等.石家庄一次沙尘气溶胶污染过程及光学特性[J]. 中国环境科学, 2016,36(4):979-989. Chen J, Zhang Y P, Yang P, et al. Pollution process and optical properties during a dust aerosol event in Shijiazhuang[J]. China Environmental Science, 2016,36(4):979-989.
[18]
师宇,胡非,丁伟宸,等.气溶胶激光雷达和无线电探空观测边界层高度的对比分析[J]. 气候与环境研究, 2019,24(5):650-662. Shi Y, Hu F, Ding W C, et al. Comparitive analysis of planetary-boundary-layer height based on aerosol lidar and radiosonde[J]. Climatic and Environmental Research, 2019,24(5):650-662.
[19]
Flamant C, Pelon J, Flamant P H, et al. Lidar determination of the entrainment zone thickness at the top of the unstable marine atmospheric boundary layer[J]. Boundary-Layer Meteorology, 1997, 83(2):247-284.
[20]
贺千山,毛节泰.北京城市大气混合层与气溶胶垂直分布观测研究[J]. 气象学报, 2005,63(3):374-384. He Q S, Mao J. Observation of urban mixed layer at beijing using a micro pulse lidar[J]. Acta Meteorologica Sinica, 2005,63(3):374-384.
[21]
Hooper W P, Eloranta E W. Lidar measurements of wind in the planetary boundary layer:The method, accuracy and results from joint measurements with radiosonde and kytoon[J]. Journal of Applied Meteorology, 1986,25(7):990-1001.
[22]
Brooks I M. Finding boundary layer top:Application of a wavelet covariance transform to lidar backscatter profiles[J]. Jouranl of Atmospheric and Oceanic Technology, 2003,20(8):1092-1105.
[23]
Voss K J, Welton E J, Quinn P K, et al. Lidar measurements during aerosols99[J]. Journal of Geophysical Research Atmospheres, 2001, 106(D18):20821-20831.
[24]
盛裴轩,毛节泰,李建国,等.大气物理学[M]. 北京:北京大学出版社, 2009:134-135. Sheng P X, Mao J T, Li J G, et al. Atmospheric physics[M]. Beijing:Peking University Press, 2009:134-135.
[25]
韩军彩,陈静,石文雅,等.石家庄一次大气重污染过程的边界层特征和成因分析[J]. 装备环境工程, 2019,16(6):85-91. Han J C, Chen J, Shi W Y, et al. Formation mechanism and boundary layer meteorology characteristic of a serious pollution in Shijiazhuang[J]. Equipment Environmental Engineering, 2019,16(6):85-91.