摘要
地基傅里叶变换红外光谱技术(Fourier transform infrared spectroscopy,FTIR)由于其具有高的时空分辨率、对地表大气浓度变化敏感等优点,已成为遥测温室气体柱浓度的重要技术。基于便携式的傅里叶变换红外光谱仪(EM27/SUN)采集的太阳光谱来反演北京市区CO_(2)与CH_(4)柱浓度。通过与高分辨率FTIR观测结果比对,验证了EM27/SUN观测的准确性和可靠性。同时利用正午观测的CO_(2)和CH_(4)柱浓度结果计算了CO_(2)与CH_(4)观测精度。其中CO_(2)的观测精度为0.16×10^(-6),CH_(4)的观测精度为1.4×10^(-9)。最后,给出了CO_(2)与CH_(4)时间序列变化,CO_(2)与CH_(4)在观测期间的变化较为一致。该研究表明了便携式FTIR观测CO_(2)与CH_(4)柱浓度结果的准确性和可靠性。
Ground-based Fourier transform infrared spectroscopy(FTIR) has become an important technology for monitoring greenhouse gas column concentration,due to its high spatiotemporal resolution and sensitivity to changes in surface atmospheric concentrations.This paper was based on the solar spectrum observed by a portable Fourier transform infrared spectrometer(EM27/SUN) to retrieve the CO_(2) and CH_(4) total column concentrations in Beijing.By comparing with high-resolution FTIR observation,the accuracy and reliability of EM27/SUN observation were verified.At the same time,the observation accuracy was calculated by using the concentration results of CO_(2) and CH_(4) column observations at noon.The accuracy of CO_(2) was 0.16×10^(-6),and the accuracy of CH_(4) was 1.4×10^(-9).Finally,the time series changes of CO_(2) and CH_(4) were presented,and the variation of CO_(2) and CH_(4) were more consistent during the observation period.This study shows that portable FTIR can accurately determine CO_(2) and CH_(4) column concentration.
作者
单昌功
王薇
谢宇
吴鹏
曾祥昱
祝钱钱
梁彬
查玲玲
刘诚
SHAN Changgong;WANG Wei;XIE Yu;WU Peng;ZENG Xiangyu;ZHU Qianqian;LIANG Bin;ZHA Lingling;LIU Cheng(Key Laboratory of Environmental Optics and Technology,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei Institute of Physical Sciences,Hefei 230031,China;Key Laboratory of Middle Atmosphere and Global Environment Observation,Beijing 100084,China;Department of Precision Machinery and Instrumentation,University of Science and Technology of China,Hefei 230026,China;Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality,Guangzhou 510000,China;State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,Beijing 100084,China;Department of Automation,Hefei University,Hefei 230601,China)
出处
《环境工程》
CAS
CSCD
北大核心
2023年第10期14-19,140,共7页
Environmental Engineering
基金
国家重点研发计划课题(2022YFB3904805)
国家自然科学基金(41775025)
国家环境保护大气复合污染来源与控制重点实验室(SCAPC202110)
粤港澳环境质量协同创新联合实验室(GHML2022-002)
中层大气和全球环境探测重点实验室(LAGEO-2022-05)。
