Real-Time Measurement of Atmospheric CO2, CH4 and N2O above Rice Fields Based on Laser Heterodyne Radiometers (LHR)

被引:4
|
作者
Li, Jun [1 ,2 ]
Xue, Zhengyue [1 ,3 ]
Li, Yue [1 ,2 ]
Bo, Guangyu [2 ]
Shen, Fengjiao [3 ]
Gao, Xiaoming [1 ,2 ]
Zhang, Jian [4 ,5 ]
Tan, Tu [2 ]
机构
[1] Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230031, Peoples R China
[2] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China
[3] Hefei Univ, Sch Adv Mfg Engn, Hefei 230601, Peoples R China
[4] Jilin Agr Univ, Fac Agron, Changchun 130108, Peoples R China
[5] Univ Columbia Okanagan, Dept Biol, Kelowna, BC V1V 1V7, Canada
来源
AGRONOMY-BASEL | 2023年 / 13卷 / 02期
基金
中国国家自然科学基金;
关键词
laser heterodyne radiometer; carbon dioxide; methane; nitrous oxide; field measurement; IRRIGATION; EMISSIONS; AMMONIA;
D O I
10.3390/agronomy13020373
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
High-precision observations provide an efficient way to calculate greenhouse gas emissions from agricultural fields and their spatial and temporal distributions. Two high-resolution laser heterodyne radiometers (LHRs) were deployed in the suburb of Hefei (31.9 degrees N 117.16 degrees E) for the remote sensing of atmospheric CO2, CH4 and N2O above rice paddy fields. The atmospheric transmittance spectra of CO2, CH4 and N2O were measured simultaneously in real time, and the atmospheric total column abundance was retrieved from the measured data based on the optimal estimation algorithm, with errors of 0.7 ppm, 4 ppb and 2 ppb, respectively. From July to October, the abundance of CO2 in the atmospheric column that was influenced by emissions from rice fields increased by 0.7 ppm CH4 by 30 ppb, and by 4 ppb N2O. During the rice growth season, rice paddy fields play a role in carbon sequestration. CH4 and N2O emissions from paddy fields are negatively correlated. The method of baking rice paddy fields reduces CH4 emissions from rice fields, but N2O emissions from rice fields are usually subsequently increased. The measurement results showed that LHRs are highly accurate in monitoring atmospheric concentrations and have promising applications in monitoring emissions from rice paddy fields. In the observation period, rice paddy fields can sequester carbon, and CH4 and N2O emissions from rice fields are negatively correlated. The LHRs have strong application prospects for monitoring emissions from agricultural fields.
引用
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页数:12
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