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作 者:纪方立 赵欣[1] 司福祺 周海金 钱园园 杨太平 JI Fangli;ZHAO Xin;SI Fuqi;ZHOU Haijin;QIAN Yuanyuan;YANG Taiping(Key Laboratory of Environmental Optics and Technology,Anhui Institute of Optics and Fine Mechanics,HFIPS,Chinese Academy of Sciences,Hefei 230031,China;University of Science and Technology of China,Hefei 230026,China)
机构地区:[1]中国科学院合肥物质科学研究院安徽光学精密机械研究所,中国科学院环境光学与技术重点实验室,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026
出 处:《大气与环境光学学报》2024年第6期624-635,共12页Journal of Atmospheric and Environmental Optics
基 金:安徽省自然科学基金(1808085QD114)。
摘 要:利用8个离散波长(DW)结合差分吸收光谱(DOAS)技术反演了二氧化氮斜柱浓度,并与使用连续波长的传统DOAS技术进行对比讨论。研究中分别使用地基数据和大气痕量气体差分吸收光谱仪(EMI)星载数据验证了DWDOAS技术的可行性。结果显示,与传统DOAS技术相比,使用DW-DOAS反演的两种数据的平均误差都在7%以内,相关性也都在0.9以上,证明DW-DOAS方法在反演痕量气体浓度中具有一定的应用价值。此外,DW-DOAS算法使用少量的光谱信息就能够快速高效地反演二氧化氮斜柱浓度。本工作不仅为后续算法的进一步研究提供了前提与基础,同时还表明基于DW-DOAS算法可以设计更加简单、高效的仪器用于高时空分辨率的二氧化氮监测。NO_(2) slant column density is retrieved using eight discrete wavelengths(DW)combined with differential optical absorption spectroscopy(DOAS)technique,and the difference between DW-DOAS and the traditional DOAS technique using continuous wavelengths is compared and discussed.The feasibility of DW-DOAS is validated using the ground-based data and the satellite-based data from environmental trace gases monitoring instrument(EMI)in the study.The results show that compared with the traditional DOAS,the average errors of the two data retrieved using DW-DOAS are both less than 7%,and the correlations are above 0.9,proving that the DW-DOAS retrieve method has certain application value in retrieving trace gas column density.In addition,it is also shown that the DW-DOAS algorithm can quickly and efficiently retrieve the NO_(2) slant column density only using a small amount of spectral information.This work not only provides a basis for further research on subsequent algorithms,but also indicates that based on DW-DOAS algorithm,simpler and more efficient instruments can be designed for monitoring NO_(2) with high spatial and temporal resolution.
关 键 词:差分吸收光谱技术 离散波长 二氧化氮斜柱浓度 大气痕量气体差分吸收光谱仪
分 类 号:TP722.4[自动化与计算机技术—检测技术与自动化装置]
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