| 光谱学与光谱分析 |
|
|
|
|
|
| A Study of FTIR Spectrometry Based on a Long Optical Path on the Emission Rules of Nitrous Oxide from Soil |
| XIAO Guang-dong1, 2, ZHENG Ling2, DONG Da-ming2, ZHANG Dong-yan1，ZHANG Bao-hua2, LIAO Tong-qing1* |
1. School of Electronic Information Engineering, Anhui University, Hefei 230039, China
2. Beijing Research Center for Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China |
|
|
|
|
Abstract The excessive emission of N2O (Nitrous oxide) will destroy the ozone layer, reasonable fertilization and adopting measures of emission reduction of N2O are of great significance to slowing down the greenhouse effect. The article studied the impact of fertilization and water on the emission of N2O from the cabbage farmland using FTIR spectrometry. To enhance the sensitivity of the measuring system, we used multi-reflecting mirrors to increase the optical pathlength. By comparing the infrared spectra between the before and after fertilizer application and the NIST spectral library, finally, the band at 2 160～2 225 cm-1 was chosen as the spectral characteristics band of quantitative calculation of N2O through analyzing. The research found that fertilization and water could promote the emission of N2O from the cabbage farmland soil, which could supply theory bases for emission reduction of N2O and slowing down the greenhouse effect. Finally, we also studied the diurnal emission rules of N2O from the fertilized soil; the results showed that the emission of N2O was lower at night and the results were compared with that of previous’ studies, which verifies the feasibility of this method. The results proved that FTIR with long optical path was a rapid and effective method to measure the emission rules of N2O from the cabbage farmland soil, which can measure the gas emissions of N2O from the fertilized cabbage farmland soil and compared with other traditional measuring methods, it had the advantages such as rapidness and convenience.
|
|
Received: 2014-06-23
Accepted: 2014-10-22
|
|
|
|
Corresponding Authors:
LIAO Tong-qing
E-mail: tongqing7577@sina.com
|
|
[1] Weatherhead E C, Reinsel G C, Tiao G C, et al. Journal of Geophysical Research: Atmospheres (1984—2012), 2000, 105(D17): 22201.
[2] Zheng X, Han S, Huang Y, et al. Global Biogeochemical Cycles, 2004, 18(2): 1.
[3] YU Ya-jun, WANG Xiao-guo, ZHU Bo(于亚军，王小国，朱 波). Acta Ecologica Sinica(生态学报), 2012, 32 (6): 1830.
[4] ZHOU Cun-yu, ZHOU Guo-yi, WANG Ying-hong, et al(周存宇，周国逸，王迎红，等). Journal of Beijing Forestry University(北京林业大学学报), 2005, 27(4): 23.
[5] ZHANG Lin, SHAO Sheng-yu, YANG Liu, et al(张 琳，邵晟宇，杨 柳，等). Analytical Instrumentation(分析仪器), 2009, 2: 6.
[6] Grutter M. Atmosfera, 2003, 16(1): 1.
[7] Santos C, Fraga M E, Kozakiewicz Z, et al. Research in Microbiology, 2010, 161(2): 168.
[8] Griffith D W T, Leuning R, Denmead O T, et al. Atmospheric Environment, 2002, 36(11): 1833.
[9] Kelliher F M, Reisinger A R, Martin R J, et al. Agricultural and Forest Meteorology, 2002, 111(1): 29.
[10] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications(化学计量学方法与分子光谱分析技术). Beijing: Chemical Industry Press(化学工业出版社). 2011.
[11] Dong Daming, Zhao Chunjiang, Zheng Wengang, et al. Scientific Reports 3, 2013. 2585.
[12] Linstrom, P J, Mallard W G, Eds. NIST Chemistry WebBook, NIST Standard Reference Database Number 69, National Institute of Standards and Technology, Gaithersburg MD, 20899, http://webbook.nist.gov, (retrieved April 9, 2013).
[13] Esler M B, Griffith D W T, Wilson S R, et al. Analytical Chemistry, 2000, 72(1): 206.
[14] PENG Shi-zhang, HOU Hui-jing, WU Xia-rui et al(彭世彰，侯会静，吴夏蕊，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2011, 27(8): 14.
[15] Han J G, Li Z B, Zhu Y L, et al. Chinese Journal of Soil Science, 2004, 35(3): 285.
[16] Wrage N, Velthof G L, Van Beusichem M L, et al. Soil Biology and Biochemistry, 2001, 33(12): 1723.
[17] Gregorich E G, Hopkins D W, Elberling B. Soil Biology & Biochemistry, 2006, 38: 3120.
[18] YANG Qing-peng, XU Ming, LIU Hong-sheng, et al(杨庆朋，徐 明，刘洪升，等). Acta Ecologica Sinica(生态学报)，2011, 31(8): 23011.
[19] Dalal R C, Wang W, Robertson G P, et al. Soil Research, 2003, 41(2): 165. |
| [1] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
| [2] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
| [3] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
| [4] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
| [5] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
| [6] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [7] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
| [8] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
| [9] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [10] |
AN Bai-song1, 2, WANG Xue-mei1, 2*, HUANG Xiao-yu1, 2, KAWUQIATI Bai-shan1, 2. Hyperspectral Estimation of Soil Lead Content Based on Random Frog Band Selection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3302-3309. |
| [11] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
| [12] |
DENG Yun1, 2, NIU Zhao-wen1, 2, FENG Qi-yao1, 2, WANG Yu1, 2*. A Novel Hyperspectral Prediction Model of Organic Matter in Red Soil Based on Improved Temporal Convolutional Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2942-2951. |
| [13] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
| [14] |
CAI Hai-hui1, ZHOU Ling2, SHI Zhou3, JI Wen-jun4, LUO De-fang1, PENG Jie1, FENG Chun-hui5*. Hyperspectral Inversion of Soil Organic Matter in Jujube Orchard
in Southern Xinjiang Using CARS-BPNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2568-2573. |
| [15] |
XIA Chen-zhen1, 2, 3, JIANG Yan-yan4, ZHANG Xing-yu1, 2, 3, SHA Ye5, CUI Shuai1, 2, 3, MI Guo-hua5, GAO Qiang1, 2, 3, ZHANG Yue1, 2, 3*. Estimation of Soil Organic Matter in Maize Field of Black Soil Area Based on UAV Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2617-2626. |
|
|
|
|
