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Rayleigh-Raman-Mie激光雷达探测南京北郊对流层气溶胶光学特性

Detection of Tropospheric Aerosol Optical Properties by Rayleigh-Raman-Mie Lidar in the Northern Suburb of Nanjing

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摘要

利用中国气象局南京综合观测基地的Rayleigh-Raman-Mie激光雷达,对南京北郊对流层气溶胶进行观测分析。通过软阈值滤波的小波去噪方法对波长为607 nm的Raman回波信号进行平滑,利用激光雷达Raman通道的实验数据反演对流层高空的气溶胶消光系数,结合波长为532 nm的Mie散射信号反演对流层高空气溶胶后向散射系数和激光雷达比。实验结果表明:软阈值滤波的小波去噪方法可以很好地去除噪声信号,提高反演结果的准确性;在晴空的天气条件下,南京北郊高空气溶胶消光系数的变化范围为0.03~0.07 km-1,后向散射系数变化范围为0.011~0.024 km-1·sr-1,激光雷达比的变化范围为22~52 sr,表明南京北郊高空存在一定含量的气溶胶;实验期间测多次测得卷云,卷云的激光雷达比为17 sr±10 sr。

Abstract

The tropospheric aerosols in the northern suburb of Nanjing is observed and analyzed with the Rayleigh-Raman-Mie lidar in Nanjing comprehensive observation base of the China Meteorological Administration. The Raman scattering signals with the wavelength of 607 nm are smoothed by the wavelet denoising method on the basis of soft threshold filtering. The extinction coefficient of upper tropospheric aerosols is retrieved based on the data from Raman channel of the lidar. The backscattering coefficient and the lidar ratio of upper tropospheric aerosols are retrieved with the Mie scattering signal with the wavelength of 532 nm. The experimental results show that the wavelet denoising method on the basis of soft threshold filtering can remove the signal noise well and improve the accuracy of the retrieval results. In sunny and cloud-free day, the extinction coefficient of upper tropospheric aerosols is from 0.03 km-1 to 0.07 km-1, the aerosol backscattering coefficient is from 0.011 km-1·sr-1 to 0.024 km-1·sr-1, and the lidar ratio is from 22 sr to 52 sr. It is indicated that there are still some aerosol particles in upper tropospheric of the northern suburb of Nanjing. Cirrus clouds have been measured many times during the experiment. The lidar ratio cirrus clouds is 17 sr±10 sr.

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中图分类号:P412

DOI:10.3788/lop55.110102

所属栏目:大气光学与海洋光学

基金项目:国家重点研发计划(2017YFC0209603)、国家自然科学基金(41375044/D0503)

收稿日期:2018-05-14

修改稿日期:2018-05-22

网络出版日期:2018-05-29

作者单位    点击查看

虞历尧:南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044
曹念文:南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044
沈吉:南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044

联系人作者:曹念文(nwcaomail@163.com)

【1】Liao L, Lou S J, Fu Y, et al. Radiative forcing of aerosols and its impact on surface air temperature on synoptic scale in eastern china[J]. Chinese Journal of Atmospheric Sciences, 2015, 39(1): 68-82.
廖礼, 漏嗣佳, 符瑜, 等. 中国东部气溶胶在天气尺度上的辐射强迫和对地面气温的影响[J]. 大气科学, 2015, 39(1): 68-82.

【2】Li J X, Yin Y, Li P R, et al. Advances in research on mechanism and observation of impacts of aerosol on cloud and precipitation[J]. Journal of the Meteorological Sciences, 2014, 34(5): 581-590.
李军霞, 银燕, 李培仁, 等. 气溶胶影响云和降水的机理和观测研究进展[J]. 气象科学, 2014, 34(5): 581-590.

【3】Gao Y C, Wu J. Preliminary analysis of the effects of aerosol on slight rain reduction in eastern China[J]. Journal of University of Chinese Academy of Sciences, 2014, 31(3): 314-321.
高艳春, 吴涧. 气溶胶影响中国东部微量降水的初步分析[J]. 中国科学院大学学报, 2014, 31(3): 314-321.

【4】Zhou G Q, Chen M, Peng L. Scientific monitoring of haze and its health effects[J]. Science, 2013, 65(4): 56-59.
周广强, 陈敏, 彭丽. 雾霾科学监测及其健康影响[J]. 科学, 2013, 65(4): 56-59.

【5】Zhang X Y. Aerosol over china and their climatic effect[J]. Advances in Earth Science, 2007, 22(1): 12-16.
张小曳. 中国大气气溶胶及其气候效应的研究[J]. 地球科学进展, 2007, 22(1): 12-16.

【6】Hua D X, Song X Q.Advances in lidar remote sensing techniques[J]. Infrared and Laser Engineering, 2008, 37(S3): 21-27.
华灯鑫, 宋小全. 先进激光雷达探测技术研究进展[J]. 红外与激光工程, 2008, 37(S3): 21-27.

【7】Song X Y, Cao N W, Yang S P. Influence factors on atmospheric aerosol optical property inversion in Nanjing[J]. Laser & Optoelectronics Progress, 2017, 54(4): 040101.
宋秀瑜, 曹念文, 杨思鹏. 探究影响南京地区大气气溶胶光学特性反演的因素[J]. 激光与光电子学进展, 2017, 54(4): 040101.

【8】Fernald F G. Analysis of atmospheric lidar observations: some comments[J]. Applied Optics, 1984, 23(5): 652.

【9】Su J, Liu Z Y, Wu Y H, et al. Retrieval of multi-wavelength aerosol lidar ratio profiles using Raman scattering and Mie backscattering signals[J]. Atmospheric Environment, 2013, 79: 36-40.

【10】Shi J Z, Cao N W.Tropospheric aerosol measurements by lidar in northern suburbs of Nanjing[J]. Laser & Optoelectronics Progress, 2012, 49(10): 100101.
施建中, 曹念文. 南京北郊对流层气溶胶激光雷达观测[J]. 激光与光电子学进展, 2012, 49(10): 100101.

【11】Shen J, Cao N W. Inversion of stratospheric aerosol extinction coefficient profile by Mie-Raman scattering lidar[J]. Chinese Journal of Lasers, 2018, 45(6): 0609002.
沈吉, 曹念文. 拉曼散射激光雷达反演平流层气溶胶消光系数廓线[J]. 中国激光, 2018, 45(6): 0609002.

【12】Cao N W, Shi J Z, Zhang Y Y, et al. Aerosol measurements by Raman-Rayleigh-Mie lidar in north suburb area of Nanjing city[J]. Laser & Optoelectronics Progress, 2012, 49(6): 060101.
曹念文, 施建中, 张莹莹, 等. 南京北郊气溶胶观测[J]. 激光与光电子学进展, 2012, 49(6): 060101.

【13】Sun H B, Cao N W. Accuracy of value k in aerosol inversion optic properties based on lidar[J]. Laser & Optoelectronics Progress, 2017, 54(1): 012802.
孙海波, 曹念文. 激光雷达反演气溶胶光学特性的k值准确度研究[J]. 激光与光电子学进展, 2017, 54(1): 012802.

【14】Cao N W, Yang S P, Xie Y H, et al. Aerosol profiling by Raman lidar in Nanjing, China[J]. Optics and Spectroscopy, 2015, 119(4): 700-707.

【15】Zhou Z R, Hua D X, Yang R, et al. De-noising method for Mie scattering lidar echo signal based on wavelet theory[J]. Acta Photonica Sinica, 2016, 45(7): 0701002.
周智荣, 华灯鑫, 杨蓉, 等. Mie散射激光雷达回波信号小波去噪方法[J]. 光子学报, 2016, 45(7): 0701002.

【16】Shen J, Cao N W. Inversion of tropospheric aerosol extinction coefficient profile by Mie-Raman scattering lidar[J]. Chinese Journal of Lasers, 2017, 44(6): 0610003.
沈吉, 曹念文. 米-拉曼散射激光雷达反演对流层气溶胶消光系数廓线[J]. 中国激光, 2017, 44(6): 0610003.

【17】Mickovski S B, Ennos A R. Model and whole-plant studies on the anchorage capabilities of bulbs[J]. Plant and Soil, 2003, 255(2): 641-652.

引用该论文

Yu Liyao,Cao Nianwen,Shen Ji. Detection of Tropospheric Aerosol Optical Properties by Rayleigh-Raman-Mie Lidar in the Northern Suburb of Nanjing[J]. Laser & Optoelectronics Progress, 2018, 55(11): 110102

虞历尧,曹念文,沈吉. Rayleigh-Raman-Mie激光雷达探测南京北郊对流层气溶胶光学特性[J]. 激光与光电子学进展, 2018, 55(11): 110102

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