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黄忠伟，王雍恺，闭建荣，王天河，李武仁，李泽，周天.2022.气溶胶激光雷达的国内外研究进展与展望.遥感学报，26（5）： 834-851
Huang Z W，Wang Y K，Bi J R，Wang T H，Li W R，Li Z and Zhou T. 2022. An overview of aerosol lidar： progress and prospect，26：（5）：834-851
大气气溶胶具有显著的环境与气侯效应，而定量评估上述效应需要准确了解气溶胶物理化学光学性质的时空分布特征。过去几十年，激光雷达已被国内外学者广泛应用于气溶胶探测研究，主要依赖于其在探测范围、时空分辨率等方面具有独特的技术优势。本文主要总结激光雷达在探测气溶胶方面的国内外研究进展，首先简要介绍可用于探测气溶胶的主要激光雷达类型，然后分别根据气溶胶大小、组分、浓度、形状、光学性质等关键信息介绍相关研究进展，最后进行总结并对气溶胶激光雷达发展进行了展望。
Aerosols, solid or liquid particles suspended in the atmosphere, are an important component in the troposphere. It is well known that atmospheric aerosols have significant impacts on environment, climate and ecosystem. Thus, the knowledge of the spatial-temporal distribution and evolution of aerosol physical-chemical-optical properties with high resolution is of great importance to quantitatively and accurately assess their climate and environmental effects. As an advanced remote sensing technology, lidar has been widely used to observe aerosol properties around the world, which is mainly attributed as its unique advantages in large detection range and high spatial-temporal resolutions. The basic principle of lidar remote sensing is that after sending lasers to the atmosphere backscattering signals from aerosols can be detected and further analyzed. This paper summarizes the research progress of lidar for detecting atmospheric aerosol over the past decades from three aspects: Firstly, the main types of lidar that can be used for atmospheric aerosol detection are briefly introduced, such as Mie scattering lidar, polarized lidar, Raman lidar, high spectral resolution lidar, fluorescent lidar, etc. They usually employ several principles of physics, such as Mie scattering, Raman scattering and fluorescence scattering. Secondly, the lidar-based research progress of aerosol properties at home and aboard, such as optical properties (e.g., extinction/backscattering coefficient, lidar ratio, aerosol optical depth, Ångström exponent), size (e.g., color ratio), shape (e.g., depolarization ratio), composition (e.g., dust, smoke, sulfate, etc.), and concentration (e.g., mass concentration), are individually introduced. Finally, with the advances of photoelectric technology, artificial intelligence, and precision machining technology in recent years, the future development of aerosol lidar is prospected in this review paper. Lidar will be more miniaturized and intelligent, making it easier to carry on Unmanned Aerial Vehicle platforms. Abundant aerosol parameter inversion algorithms will be established. More ground-based lidar observation network and space-borne lidar projects will be established and improved successively.
激光雷达气溶胶大气遥感遥感
Lidaraerosolatmospheric remote sensingremote sensing
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