Observation of Variations of Ambient CO2 Using Portable FTIR
Spectrometer
ZHA Ling-ling1, 2, 3, WANG Wei2*, XIE Yu1, SHAN Chang-gong2, ZENG Xiang-yu2, SUN You-wen2, YIN Hao2, HU Qi-hou2
1. Department of Automation, Hefei University, Hefei 230061, China
2. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China
3. School of Biology, Food and Environment, Hefei University, Hefei 230061, China
Abstract:Measurement of CO2 concentration with high accuracy and precision is essential for monitoring local emission sources of greenhouse gases at regional and city scales. Based on Fourier transform spectroscopy and near-infrared solar absorption spectra collected by portable FTIR spectrometer, the column concentration of CO2 in the Hefei area from September 2016 to May 2020 was retrieved using the nonlinear least-squares algorithm. As the observation results show, the column concentration of CO2 has obvious seasonal variation, with the maximum value in spring, the fast decline in summer, and the minimum in autumn. The daily average value of XCO2 is between (401.23±0.60) and (418.41±0.31) ppm, while the monthly average value shows a seasonal amplitude of 6.96 ppm during 2017. XCO2 showed an increasing trend during the observation, with an annual growth rate of (2.71±0.66) ppm·yr-1. In order to verify the accuracy and reliability of portable FTIR spectrometer observations, we compared the observations with the high-resolution FTIR measurements. It is found that the mean deviation of XCO2 was about 1.32 ppm, the linear fitting coefficient was 1.08±0.03, and the correlation coefficient r was 0.97. Further, our data are compared with GOSAT satellite data, the average deviation of the two data is (0.63±1.76) ppm, and the correlation coefficient r is 0.86, showing a high correlation between ground-based data and satellite data. Also, ground-based observations in Shanghai were compared with the simultaneous observations in Hefei. The results showed that the variation of XCO2 in Shanghai is similar to our results. The daily average of XCO2 in Shanghai is between (411.87±1.07) and (416.63±1.70) ppm, and the value is between (415.09±0.84) and (417.80±0.67) ppm in Hefei in autumn. It is found that XCO2 in Hefei was slightly higher than that in Shanghai during the observation. The results provide the data for tracking carbon sources and sinks of greenhouse gases in the Hefei area.
[1] Sha M K, Mazière M D, Notholt J, et al. Atmospheric Measurement Techniques, 2020, 13(9): 4791.
[2] Yang Y, Zhou M R, Wang T, et al. Atmospheric Chemistry and Physics, 2021, 21(15): 11741.
[3] Frey M, Sha M K, Hase F, et al. Atmospheric Measurement Techniques, 2019, 12(3): 1513.
[4] LesmeisterL, Koschorreck M. Atmospheric Measurement Techniques, 2017, 10(6): 2377.
[5] ZHANG Hui-fang, WANG Wei, LIU Cheng, et al(章惠芳, 王 薇, 刘 诚, 等). Acta Optica Sinica(光学学报), 2020, 40(2): 0201003.
[6] Yin H, Sun Y W, Liu C, et al. Optics Express, 2020, 28(6): 8041.
[7] YANG Qiang, MA Qian-li, YAO Bo, et al(杨 强, 马千里, 姚 波, 等). China Environment Science(中国环境科学), 2020, 40(4): 1460.
[8] Lan L J, Ghasemifard H, Yuan Y, et al. Atmosphere, 2020, 11(1): 58.
[9] Hedelius J K, Liu J J, Oda T, et al. Atmospheric Chemistry and Physics, 2018, 18(22): 16271.
[10] Guo M, Li J, Wen L X, et al. Atmosphere, 2019, 10(10): 581.
[11] Wunch D, Toon G C, Wennberg P O, et al. Atmospheric Measurement Techniques, 2010, 3(5): 1351.
[12] LIU Dan-dan, HUANG Yin-bo, SUN Yu-song, et al(刘丹丹, 黄印博, 孙宇松, 等). Acta Physica Sinica(物理学报), 2020, 69(13): 130201.
[13] Hase F, Frey M, Kiel M, et al. Atmospheric Measurement Techniques, 2016, 9(5): 2303.
[14] Wang W, Tian Y, Liu C, et al. Atmospheric Measurement Techniques, 2017, 10(7): 2627.
[15] Gisi M, Hase F, Dohe S, et al. Atmospheric Measurement Techniques, 2012, 5: 2969.
[16] Makarova M V, Alberti C, Ionov D V, et al. Atmospheric Measurement Techniques, 2021, 14(2): 1047.
[17] Olivier J G J, Peters J A H W. Trends in Global CO2 and Total Greenhouse Gas Emissions: 2020 Report, Netherlands: PBL Netherlands Environmental Assessment Agency, 2020, 27.
[18] Wunch D, Toon G C, Blavier J F L, et al. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 2011, 369(1943): 2087.
[19] Washenfeclder R A, Toon G C, Blavier J F, et al. Journal of Geophysical Research Atmospheres, 2006, 111(D22): 5295.
[20] Hedelius J K, Viatte C, Wunch D, et al. Atmospheric Measurement Techniques, 2016, 9(8): 3527.
[21] Hase F, Blumenstock T, Paton-Walsh C. Applied Optics, 1999, 38(15): 3417.
[22] SHAN Chang-gong, LIU Cheng, WANG Wei, et al(单昌功, 刘 诚, 王 薇, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(7): 1997.
[23] Shan C G, Wang W, Liu C, et al. Atmospheric Research, 2019, 222: 25.
[24] Guo M R, Fang S X, Liu S, et al. Earth Space Science, 2020, 7(5).
[25] TIAN Yuan, SUN You-wen, XIE Pin-hua, et al(田 园, 孙友文, 谢品华, 等). Acta Physica Sinica(物理学报), 2015, 64(7): 070704.
[26] Morino I, Uchino O, Inoue M, et al. Atmospheric Measurement Techniques, 2011, 4(6): 1061.
[27] Ohyama H, Kawakami S, Tanaka T, et al. Atmospheric Measurement Techniques, 2015, 8(12): 5263.
[28] Rodgers C D, Connor B J. Journal of Geophysical Research Atmospheres, 2003, 108: 4116.
[29] Zhou M Q, Dils B, Wang P C, et al. Atmospheric Measurement Techniques, 2016, 9(3): 1415.