激光外差光谱仪的水汽柱浓度反演研究

doi:10.3964/j.issn.1000-0593(2019)04-1317-06

Abstract
References
Related Citation (10)

Download: PDF (2254 KB)
Export: BibTeX | EndNote (RIS)

Abstract Water vapor is an important component of the atmosphere. It is also an important factor to balance the radiation budget of the atmosphere system, which has an important influence on weather and climate change. The commonly used equipment for measuring the concentration of water vapor column, such as Radiosonde, Lidar, Microwave Radiometer, Solar Photometer, DOAS instrument and Fourier Transform Infrared Spectrometer are difficult to meet the requirements of high-resolution and portable mobility. Based on a high-sensitivity and high-resolution spectral detection technology, related researches have been carried out around the detection of water vapor column concentration. The main achievements are as follows: (1) Based on the laser heterodyne spectroscopy technology, a set of high-resolution laser heterodyne solar spectrum measuring devices with a narrow-line broadband inter-cascade laser as the local oscillator and the sun tracker is estabished, with a spectral resolution of 0.002 cm^-1. (2) The Langley-plot method is used to calibrate the high-resolution heterodyne solar spectrum measuring device. The field measurement is carried out at the Purple Mountain Observatory in Yunnan, and the direct measurement data of the 2 831~2 833 cm^-1 band solar spectrum are obtained. The high-resolution total atmospheric spectral transmittance is also obtained. (3) The Line by Line Radiative Transfer Model (LBLRTM) is used to calculate the total atmospheric spectral transmittance, and the nonlinear least square fitting is carried out with the measured spectral transmittance. The inversion of water vapor column concentration is realized. The concentration of water vapor column is also observed by the Microwave Radiometer. The consistency between the inversion results and the measured resultsis is relatively good, where the minimum relative deviation is 16.59%, and the maximum relative deviation is 21.69%. (4) The error of the inversion results and the measured results is mainly caused by the error of the inversion algorithm and the measurement error of the device. Inversion algorithm errors include the calculation error of the radiative transfer model, the actual temperature measurement error, the methane concentration uncertainty into the error, the deviation of HDO abundance and the natural abundance. The device measurement error includes the calibration error of device, the wavelength calibration error, the noise influence, the error caused by the weak fluctuation of the background signal and the DC signal. (5) The 2 831~2 833 cm^-1 band selected contains the absorption of water vapor and methane, and the concentration of methane column is also retrieved. With the initial column concentration of methane as the reference value, it is found that the numerical average of the concentration of the methane column after the inversion is 14.41% higher than the initial column concentration. The high-resolution laser heterodyne solar spectrum measurement device combined with its inversion algorithm is an effective integrated equipment for detecting the whole atmospheric transmittance and the concentration of water vapor and methane column. It has a wide application prospect in the detection of multi-component gas concentration.

Key words：Laser heterodyne; Total atmospheric spectral transmittance; Nonlinear least squares; Water vaporcolumn concentration

Received: 2018-03-05 Accepted: 2018-07-30

ZTFLH:

O433.5

Corresponding Authors: DAI Cong-ming E-mail: cmdai@aiofm.ac.cn

Cite this article:

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2019)04-1317-06 OR https://www.gpxygpfx.com/EN/Y2019/V39/I04/1317

[1] SHI Guang-yu(石广玉). Atmospheric Radiology(大气辐射学). Beijing: Science Press(北京：科学出版社)，2007. 7.
[2] RAO Rui-zhong(饶瑞中). Modern Atmospheric optics(现代大气光学). Beijing: Science Press(北京：科学出版社)，2012. 68.
[3] CAO Yu-jing, LIU Jing-miao, LIANG Hong, et al(曹玉静, 刘晶淼, 梁宏, 等）. Journal of Natural Resources(自然资源学报), 2011, 26(9): 1603.
[4] WANG Hong-wei, HUA Deng-xin, WANG Yu-feng, et al(王红伟, 华灯鑫, 王玉峰, 等）. Acta Physica Sinica(物理学报), 2013, 62(12): 120701.
[5] QIU Yu-bao, SHI Li-juan, SHI Jian-cheng, et al(邱玉宝, 石利娟, 施建成, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析) , 2016, 36(2): 310.
[6] LI Jian-yu, XU Wen-qing, QIE Li-li, et al(李建玉, 徐文清, 伽丽丽, 等）. Optical Technique(光学技术), 2012, 38(1): 30.
[7] SUN You-wen, LIU Wen-qing, XIE Pin-hua, et al(孙友文, 刘文清, 谢品华, 等). Acta Physica Sinica(物理学报) , 2012, 61(14): 114.
[8] CHENG Si-yang, GAO Min-guang, XU Liang, et al(程巳阳, 高闽光, 徐亮, 等). Acta Optica Sinica(光学学报), 2013, 33(10): 1001001.
[9] Okano S, Taguchi M, Fukunishi H, et al. Geophysical Research Letters, 2013, 16(6): 551.
[10] Koide M, Taguchi M, Fukunishi H, et al. Geophysical Research Letters, 2013, 22(4): 401.
[11] Tsai T R, Rose R A, Weidmann D, et al. Applied Optics, 2012, 51(36): 8779.
[12] Wilson E L, Mclinden M L, Miller J H, et al. Applied Physics B, 2014, 114(3): 385.
[13] YE Han-han, WANG Xian-hua, WU Jun, et al(叶函函, 王先华, 吴军, 等）. Journal of Atmospheric and Environmental Optics(大气与环境光学学报), 2011, 6(3): 208.
[14] Weidmann D, Reburn W J, Smith K M. Review of Scientific Instruments, 2007, 78(7): 073107.
[15] Frankenberg C, Wunch D, Toon G, et al. Atmospheric Measurement Techniques, 2013, 6(2): 263.