大气与环境光学学报 ›› 2015, Vol. 10 ›› Issue (2): 117-125.

• “大气环境光学探测技术”专辑 • 上一篇    下一篇

空气质量卫星遥感监测技术进展

陈良富 ,陶金花1,王子峰1,李莘莘1,张莹1,范萌1,李小英1,余超1,邹铭敏1,苏林1,陶明辉1   

  1. (中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100101)
  • 收稿日期:2014-12-03 出版日期:2015-03-28 发布日期:2015-04-02
  • 通讯作者: 陈良富(1965-), 男, 浙江淳安人,中国科学院遥感与数字地球研究所,研究员, 主要从事大气遥感及大气环境研究。 E-mail:chenlf@radi.ac.cn
  • 作者简介:陈良富(1965-), 男, 浙江淳安人,研究员, 主要从事大气遥感及大气环境研究。
  • 基金资助:

    国家自然科学基金重点项目(41130528)、国家自然科学基金青年基金(41101327)和高分辨率对地观测系统重大专项(05-Y30B02-9001-13/15-8)资助

Review of Satellite Remote Sensing of Air Quality

CHEN Liangfu, TAO Jinhua, WANG Zifeng, LI Shenshen, ZHANG Ying, FAN Meng, LI Xiaoying, YU Chao, ZOU Mingmin, SU Lin, TAO Minghui   

  1. ( State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing 100101, China)
  • Received:2014-12-03 Published:2015-03-28 Online:2015-04-02

摘要:

随着全球及区域尺度内空气污染问题的日益突显,利用卫星遥感进行大气探测的技术也得到了不断发展。本文分别介绍了气溶胶、灰霾、近地面颗粒物、污染气体、温室气体的遥感反演原理,及近年来国内外算法和应用进展情况。同时,文章阐述了建立多源卫星空气质量监测系统的迫切性,及其国内外发展现状。最后,针对目前我国空气质量卫星监测技术的需求,指出了目前大气遥感技术在我国发展的不足之处,并为进一步提升卫星遥感技术在大气监测领域的应用和扩展提出了一些建议。

关键词: 大气遥感, 气溶胶, 颗粒物, 污染气体, 温室气体

Abstract:

Air pollution problem on a global or regional scale has become increasingly prominent. Meanwhile, satellite remote sensing of air quality also evolved dramatically over the last decades. Application of remote sensing technology in aerosol, haze, near-surface particulate matter, pollutant gases and greenhouse gases are reviewed for current instruments, along with inversion algorithms and their process. The importance of developing a software system for monitoring air quality using multi-source satellite data is also discussed. For the requirement of satellite remote sensing of air quality over China, the existing inadequacies of the development of atmospheric remote sensing in China are pointed out, and some recommendations are given for further promoting and improving the application of remote sensing technology in atmospheric monitoring and air pollution epidemiologic studies.

Key words: atmospheric remote sensing, aerosol, particulate matter, pollutant gas, greenhouse gas

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