光谱学与光谱分析 |
|
|
|
|
|
Detection of Carbon Dioxide Concentration in Soil Profile Based on Nondispersive Infrared Spectroscopy Technique |
TU Zhi-hua1, ZHAO Yang2, ZHENG Li-wen1, JIA Guo-dong1, CHEN Li-hua1, YU Xin-xiao1* |
1. Key Laboratory of Soil and Water Conservation and Combating Desertification, Ministry of Education, College of Water and Soil Conservation, Beijing Forestry University, Beijing 100083, China 2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China |
|
|
Abstract In order to explore the variation of CO2 concentration and soil respiration in soil profile, the nondispersive infrared (NDIR) spectroscopy technique was applied to continually estimate the soil CO2 concentration in different soil layers (the humus horizon, A-, B-, C-horizon) in situ. The main instrument used in this experiment was silicon-based nondispersive infrared sensor, which could work in severe environment. We collected the measurement value by NDIR spectroscopy technique throughout 2013. The values of soil carbon flux in different soil layers were calculated based on the model of gradient method and calibrated by measuring with an automated soil CO2 efflux system (LI-8100). The results showed that: a vertical gradient for the carbon dioxide concentration in soil profile was found, and the concentration was highest in the deepest soil horizon. Moreover, A linear correlation between the soil CO2 effluxes was calculated based on model and measurement, and the model prediction correlation coefficient was 0.906 9, 0.718 5, 0.838 2, and 0.903 0 in the H-, A-, B-, and C-horizon, respectively. The roots of mean square error (RMSE) were 0.206 7, 0.104 1, 0.015 6, and 0.009 6 in the H-, A-, B-, and C-horizon, respectively. These results suggest that the gradient method based on the NDIR spectroscopy technique can be successfully used to measure soil CO2 efflux in different soil layers, which reveal that diffusion and convection transport CO2 between the soil layers. It is a promising sensor for detecting CO2 concentration in soil profile, providing the basic data for calculating the global carbon in soil profile.
|
Received: 2014-03-12
Accepted: 2014-06-10
|
|
Corresponding Authors:
YU Xin-xiao
E-mail: yuxinxiao111@126.com
|
|
[1] Post W M, Emanuel W R, Zinke P J, et al. Nature, 1982, 298: 156. [2] Davidson E A, Janssens I A, Luo Y. Global Change Biology, 2006, 12(2): 154. [3] Davidson E A, Richardson A D, Savage K E, et al. Global Change Biology, 2006, 12(2): 230. [4] Raich J W, Potter C S. Global Biogeochemical Cycles, 1995, 9(1): 23. [5] CHEN Xiao-ning, LIU Jian-guo, SI Fu-qi, et al(陈晓宁, 刘建国, 司福祺, 等). Opto-Electronic Engineering(光电工程), 2008, 35(2): 114. [6] HUANG Shu-hua, SUN You-wen, LIU Wen-qing, et al(黄书华, 孙友文, 刘文清, 等). Infrared(红外),2012, 32(12): 10. [7] CHEN Xiao-ning, LIU Jian-guo, SI Fu-qi, et al(陈晓宁, 刘建国, 司福祺, 等). Journal of Atmospheric and Environmental Optics(大气与环境光学学报), 2007, 2(3): 20. [8] SUN You-wen, LIU Wen-qing, WANG Shi-mei, et al(孙友文, 刘文清, 汪世美, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(10): 2719. [9] Leeuwen C V, Hensen A, Meijer H A J. International Journal of Greenhouse Gas Control, 2013, 19: 420. [10] Pumpanen J, Ilvesniemi H, Kulmala L, et al. Soil Science Society of America Journal, 2008, 72(5): 1187. |
[1] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[2] |
ZHA Ling-ling1, 2, 3, WANG Wei2*, XIE Yu1, SHAN Chang-gong2, ZENG Xiang-yu2, SUN You-wen2, YIN Hao2, HU Qi-hou2. Observation of Variations of Ambient CO2 Using Portable FTIR
Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1036-1043. |
[3] |
FU Juan, MO Jia-mei, YU Yi-song, ZHANG Qing-zong, CHEN Xiao-li, CHEN Pei-li, ZHANG Shao-hong, SU Qiu-cheng*. Experimental Study on the Structure Characteristics of CO2 in Gas Hydrate by Solid-State Nuclear Magnetic Resonance and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 464-469. |
[4] |
XIE Ying-chao1,2, WANG Rui-feng1,2, CAO Yuan1,2, LIU Kun1*, GAO Xiao-ming1,2. Research on Detecting CO2 With Off-Beam Quartz-Enhanced Photoacoustic Spectroscopy at 2.004 μm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2664-2669. |
[5] |
CHEN Yu-feng1, ZHOU Xue-bing2, 3, 4, LIANG De-qing2, 3, 4*, WU Neng-you5. Microscopic Experimental Study on the Crystallization of TBAB-CO2 Hydrate[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2889-2893. |
[6] |
ZHENG Guang-hui1,2, JIAO Cai-xia2, SHANGGUAN Chen-xi2, WU Wen-qian2, LIU Yi3, HONG Chang-qiao2,4. Horizon Classification in Soil Profile Using Imaging Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(03): 882-885. |
[7] |
CHEN Jia-jin1, 2, WANG Gui-shi1*, LIU Kun1, TAN Tu1, CHENG Gang1, TIAN Xing1, GAO Xiao-ming1, 2*. High Sensitivity Detection of Carbon Dioxide Based on Portable Cylindrical Multi-Pass Cell[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 292-296. |
[8] |
LI Meng, GUO Jin-jia*, YE Wang-quan, LI Nan, ZHANG Zhi-hao, ZHENG Rong-er. Study on TDLAS System with a Miniature Multi-Pass Cavity for CO2 Measurements[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 697-701. |
[9] |
CHEN Fa-rong1, 2, ZHENG Xiao-ling2, ZHENG Li2*, SUN Jun-qing2, SUN Jie1, HAN Li-hui1, WANG Xiao-ru2. The Distribution and Influencing Factors of Carbon Dioxide in the Surface Seawater of the South Yellow Sea during Spring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 732-736. |
[10] |
SHAN Chang-gong1, LIU Cheng2*, WANG Wei3, SUN You-wen3, LIU Wen-qing3, TIAN Yuan3, YANG Wei3. Analysis of Sensitivity of the Parameters on Carbon Dioxide Retrieval Using High-Resolution Solar Absorption Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(07): 1997-2003. |
[11] |
TIAN Yuan1, SUN You-wen1*, XIE Pin-hua1,2, LIU Cheng2, LIU Wen-qing1,2, LIU Jian-guo1,2, LI Ang1, HU Ren-zhi1, WANG Wei1, ZENG Yi1. Quality Optimization Method for Ambient CO2 Inversion of High Resolution Fourier Transform Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(01): 48-53. |
[12] |
XU Jia-long1,3, LI Yue-sheng2, LU Ji-dong1,3, BAI Kai-jie1,3, LU Wei-ye2, YAO Shun-chun1,3*. Rapid Measurement of Carbon Dioxide with Laser-Induced Breakdown Spectroscopy Based on Atomic and Molecular Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1888-1892. |
[13] |
ZHANG Jian-feng1, PAN Sun-qiang1, LIN Xiao-lu1,2, HU Peng-bing1, CHEN Zhe-min1 . Research on On-Line Calibration Based Photoacoustic Spectrometry System for Monitoring the Concentration of CO2 in Atmosphere[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 1-5. |
[14] |
SONG Guang-lin1,2, LUO Yun-jun1*, LI Jin-qing1, TAN Hong2 . Determination of Carbon Dioxide in Refined Titanium Tetrachloride by Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(03): 626-630. |
[15] |
DENG Kai1, 2, DING Jian-li1, 2*, YANG Ai-xia1, 2, NIU Zeng-yi1, 2 . EEMD De-Noising of Reflecting Spectrum in Soil Profiles [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(01): 162-166. |
|
|
|
|