首页 >  2021, Vol. 25, Issue (11) : 2313-2325

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DOI:

10.11834/jrs.20210303

收稿日期:

2020-07-28

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高分五号大气痕量气体差分吸收光谱仪对流层NO2柱浓度遥感反演研究
程良晓1,2,陶金花1,余超1,张莹1,范萌1,王雅鹏1,3,陈元琳1,2,朱莉莉1,顾坚斌1,陈良富1,2
1.中国科学院空天信息创新研究院 遥感科学国家重点实验室, 北京 100101;2.中国科学院大学, 北京 100049;3.国家卫星气象中心, 北京 100081
摘要:

搭载于“高分五号”(GF-5)卫星上的痕量气体差分吸收光谱仪(EMI)是一台星下观测的高光谱载荷,测量紫外和可见光光谱范围的地球后向散射辐射,设计用于大气痕量气体的探测。本研究基于EMI在VIS1通道的实测光谱,利用差分光学吸收光谱(DOAS)方法进行了对流层NO2柱浓度反演,展示了基于EMI载荷的对流层NO2柱浓度反演结果,与同类载荷产品进行交叉验证,并利用地基观测结果进行了地基验证。研究表明,EMI反演结果与OMI、TROPOMI具有较好的空间分布一致性和较低的相对偏差,与TROPOMI具有较好的时间变化一致性。地面验证结果表明EMI NO2反演结果具有较高的精度。本研究证明了EMI在全球NO2监测方面的能力,可以为中国后续污染气体探测载荷的设计和反演算法的开发提供参考。

关键词:

遥感  高分五号  EMI  NO2  DOAS
Tropospheric NO2 column density retrieval from the GF-5 EMI data
Abstract:

Significant impact of NO2 on global atmospheric environment and human health necessitate accurate monitoring of NO2. On the one hand, people can study and analyze their generation and extinction laws, distribution characteristics, diffusion, and transmission characteristics. On the other hand, it can provide decision-making basis for the formulation of pollutant discharge policy and pollution control program. However, the number of ground-based air quality monitoring stations has been increasing, providing abundant NO2 ground observation data. Large-scale monitoring of NO2 emissions requires the development of other monitoring methods. Satellite instruments covering the ultraviolet and visible spectrum have been widely used to detect the concentration of NO2 column in the atmosphere with the advantage of wide-range observation. to further strengthen the domestic air quality monitoring, and improve the air quality in China, the Environmental Trace Gas Monitoring Instrument (EMI) onboard the Chinese GaoFen-5 (GF-5) satellite was launched on May 9, 2018. It is a nadir-viewing wide-field hyperspectral spectrometer, which measures the earth’s backscattered radiation in the ultraviolet and visible spectrum and is designed for atmospheric trace gas detection. Based on the measured spectrum of EMI VIS1 channel, the tropospheric NO2 Vertical Column Density (VCD) was retrieved by Differential Optical Absorption Spectrometry (DOAS) method, which consists of three key steps, namely, spectral fitting, Stratosphere-Troposphere Separation (STS), and tropospheric Air Mass Factor (AMF) calculations. After spectral fitting, a stripe correction scheme was developed for the stripe phenomenon that appears in the initial fitted NO2 SCD. The current advanced STREAM algorithm was used to estimate the stratospheric NO2 concentration, and the TM5 NO2 profile with higher spatial resolution was used in the calculation of tropospheric AMF. The retrieval results of tropospheric NO2 VCD based on EMI were presented, and the results were cross-verified with NO2 products from international similar instruments, i.e., OMI and TROPOMI. From a larger spatial scale, EMI can reflect the global distribution of typical NO2 pollution city sources. In terms of regional scale, the daily spatial distribution correlation coefficients between EMI and TROPOMI in different regions are greater than 0.9. On a monthly time scale, EMI and OMI (TROPOMI) show consistent spatial distribution in the four urban agglomerations of China, and the average spatial correlation coefficient is 0.8 (0.87). The regional mean bias between EMI and OMI (TROPOMI) is within 11.3% (9.5%). The time series analysis of the Pearl River Delta region shows that EMI has high consistency (r=0.89) with TROPOMI. The ground-based MAX-DOAS observation results are also used for validation. The ground validation results show that the EMI retrieval results have high correlation coefficient (0.96) and approximately 35% underestimated. This study proves EMI’s ability in global NO2 monitoring. In the future, domestic instruments similar to EMI are carried out on the GF-5 (02) satellite and the atmospheric environmental monitoring satellite (AEMS), which contributes continuously to China’s trace gas detection. Therefore, this study can provide reference for the design of next similar instruments and the development of corresponding NO2 retrieval algorithm in China.

Key Words:

remote sensing  GF-5  EMI  NO2  DOAS
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