大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (4): 323-338.

• 高分五号 02 星偏振载荷在轨测试和信息处理 • 上一篇    下一篇

基于GF-5(02) 卫星DPC数据的2022年春季陆表细粒子气溶胶光学厚度空间分布

董鉴韬 1,2, 李正强 2, 谢一凇 2*, 樊程 2, 洪津 3, 戴刘新 2, 顾浩然 2,4, 郑杨 2   

  1. 1 河南理工大学测绘与国土信息工程学院, 河南 焦作 454003; 2 中国科学院空天信息创新研究院国家环境保护卫星遥感重点实验室, 北京 100101; 3 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, 安徽 合肥 230031; 4 安徽师范大学地理与旅游学院, 安徽 芜湖 241000
  • 收稿日期:2023-02-20 修回日期:2023-03-27 出版日期:2023-07-28 发布日期:2023-08-14
  • 通讯作者: E-mail: xieys@radi.ac.cn E-mail:xieys@radi.ac.cn
  • 作者简介:董鉴韬 (1998- ) , 四川绵阳人, 硕士研究生, 主要从事大气气溶胶卫星偏振遥感方面的研究。E-mail: int8@foxmail.com
  • 基金资助:
    国家自然科学基金 (42175147), 国家杰出青年科学基金 (41925019), 海南省重点研发计划 (ZDYF2020206)

Spatial distribution of fine-mode aerosol optical depth over land in spring 2022 based on DPC/GF-5(02)

DONG Jiantao 1,2, LI Zhengqiang 2, XIE Yisong 2*, FAN Cheng 2, HONG Jin 3, DAI Liuxin 2, GU Haoran 2,4, ZHENG Yang 2   

  1. 1 School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozhuo 454003, China; 2 State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 3 Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science Chinese Academy of Sciences, Hefei 230031, China; 4 College of Geography and Tourism, Anhui Normal University, Wuhu 241000, China
  • Received:2023-02-20 Revised:2023-03-27 Published:2023-07-28 Online:2023-08-14
  • Contact: Yisong Xie E-mail:xieys@radi.ac.cn

摘要: 大气细粒子气溶胶主要来源于人类生产生活排放, 可以反映人为活动对大气的影响, 因此细粒子气溶胶光 学厚度 (AODf) 是大气环境领域重要的基础大气参数之一。本研究基于查找表反演方法, 利用高光谱观测卫星[ GF-5 (02)] 多角度偏振成像仪 (DPC) 数据, 得到2022 年春季 (3―5 月) 的全球陆表AODf, 并通过AERONET对反演结果进 行了初步验证。对AODf的分析结果表明: 1) 全球陆表AODf分布呈现明显的南北差异, 南半球基本为低值, 北半球的 高值区域主要集中在亚洲地区; 2) 中国地区陆表AODf在“胡焕庸线”两侧差别显著, 东南侧的高值主要集中在川渝腹 地、华北平原和两广地区, 而西北侧基本表现为低值覆盖, 人为和自然因素均对AODf的分布有一定的影响; 3) 南亚地 区和非洲中-北部的AODf分布与当地燃烧活动产生的烟尘以及季风环流等因素有一定的相关性。此外, DPC的AODf 数据与MODIS细粒子产品的对比结果表明二者的AODf高值区域分布基本一致, 而DPC在高亮地表有着更为完整的 反演结果, 可以为全球和重点区域的大气环境监测提供支持。

关键词: 高分五号02 星, 细粒子气溶胶光学厚度, 偏振反演, 空间分布, 人为活动

Abstract: Atmospheric fine-mode aerosols, which are mostly originated from anthropogenic emissions, can reflect human activity's impacts on the atmosphere. Therefore, the fine-mode aerosol optical depth (AODf) is one of the basic parameters in the filed of atmospheric environment. Based on the remote sensing data of Directional Polarimetric Camera (DPC) onboard Gaofen-5(02) satellite, the AODf data over global land of spring 2022 (from March to May) were obtained using the look-up table retrieval method in this study, and then the AODf inversion results were verified using the ground-based observation of AERONET sites. Based on the analysis of AODf distribution, it is found that the distribution of global AODf shows an obvious north-south difference, with low values in the southern hemisphere and high values in the northern hemisphere mainly concentrated in the Asian region. In China, AODf distribution shows considerable differences between the two sides of the "Hu-Huanyong Line". On the south-east side, the high AODf values is mainly concentrated in the Sichuan-Chongqing region, North China Plain and the Guangdong-Guangxi region, while on the north-west side, AODf is generally low over Qinghai-Tibet Plateau and desert area. This kind of spatial distribution pattern of AODf reflects the influence from both anthropogenic factors and natural factors. As for South Asia and Central-North Africa, it is shown that AODf distribution is correlated with smoke and soot emissions from local burning combustion, and meteorological factors such as monsoon. In addition, the AODf retrieval data from DPC were compared with MODIS fine-mode aerosol products, and it is found that the spatial distribution of high AODf from the two datasets is basically consistent, while DPC data have a better coverage for bright surface than MODIS data, which makes it more suitable for providing data support for global and regional monitoring of atmospheric environment.

Key words: Gaofen-5(02), fine-mode aerosol optical depth, polarization-oriented inversion, spatial distribution, anthropogenic emission

中图分类号: