首页> 外文学位 >Atmospheric aerosol and particle properties using lidar.
【24h】

Atmospheric aerosol and particle properties using lidar.

机译:使用激光雷达的大气气溶胶和粒子特性。

获取原文
获取原文并翻译 | 示例

摘要

Characterization of airborne particulate matter, both dust particles and aerosols, has been a major challenge to researchers. Lidar (light detection and ranging) techniques have been used to make remote sensing measurements of the aerosol optical extinction and other properties of optical scattering from the particles in the atmosphere. In this thesis, a range of technologies available in the area of laser remote sensing have been used to study the optical properties of atmosphere, including the techniques of Rayleigh scattering, Mie scattering and Raman scattering.; Algorithms and techniques have been developed for analysis of data to calculate the atmospheric optical extinction in the troposphere using backscatter lidar and Raman lidar instruments, and models are described which have been developed to study the optical extinction and backscatter characteristics. The data obtained by Raman lidar and backscatter lidar during several different campaigns were analyzed. An algorithm for extinction at W wavelengths measured by Raman lidar has been developed in which the molecular scattering and ozone absorption are removed to obtain the aerosol optical extinction profile. The relationships between extinction profiles measured by Raman lidar and particulate matter (PM) mass concentration measurements of the ambient particles using point sensors at the surface are investigated. Model simulations have been developed to explain and quantify the relations between extinction and PM concentration. The ratio of the extinction coefficient profiles at different wavelengths has been analyzed to show unique information on particle sizes, which can not be obtained from a single extinction profile.; Backscatter lidar has been used to study the atmospheric meteorological properties and characterize the fate (deposition and transport) of PM plumes originating from the mechanical disturbance of surface soil in one of our projects. A particle size distribution model has been developed from lidar results and measurements from particle size instruments. Model calculations based on Mie scattering theory have been designed to simulate various features of the optical scattering from the generated dust plumes. Field measurements are used to analyze the inverse problem and describe the particulate matter properties from the scattering profiles.; Several achievements from the research work in this thesis include: (1) The ultraviolet aerosol extinction algorithm and telescope form factor for LAPS are successfully developed. (2) The relationships between Raman lidar extinction, relative humidity and PM mass measurements are quantified and modeled. The results show that we can describe the vertical distribution of the airborne particulate matter using Raman lidar and thereby describe the evolution of air pollution episodes more accurately. (3) The modeling results from California Dust campaign show the rapid deposition of large (PM 10) particles, and the relatively longer residence time of the optical plume associated with small particles (2 mum). The rapid loss of PM mass may have led to overestimates of airborne particle mass in plumes and could explain the major discrepancy between the source estimate and the measured mass of soil particulates that has been recognized in California. (4) The ratio of signal from backscatter lidar and ratio of extinction profiles from Raman lidar at multiple wavelengths are used to demonstrate the unique information that can be obtained on the characteristics of airborne particles in the atmosphere.
机译:空气中的尘埃和气溶胶颗粒物质的表征一直是研究人员面临的主要挑战。激光雷达(光检测和测距)技术已用于对气溶胶的光学消光以及来自大气中粒子的光散射的其他属性进行遥感测量。本文利用激光遥感领域的一系列技术来研究大气的光学特性,包括瑞利散射,米氏散射和拉曼散射等技术。已经开发了用于使用反向散射激光雷达和拉曼激光雷达仪器对数据进行计算以计算对流层大气光学消光的算法和技术,并描述了用于研究光学消光和反向散射特性的模型。分析了拉曼激光雷达和后向散射激光雷达在几次不同运动中获得的数据。已经开发了一种通过拉曼激光雷达在W波长处消光的算法,其中去除了分子散射和臭氧吸收,从而获得了气溶胶光学消光曲线。研究了通过拉曼激光雷达测量的消光轮廓与使用表面点传感器的环境颗粒的颗粒物(PM)质量浓度测量之间的关系。已经开发了模型模拟来解释和量化灭绝和PM浓度之间的关系。已经分析了在不同波长下的消光系数分布的比率,以显示关于粒度的独特信息,这是无法从单个消光分布获得的。在我们的一个项目中,后向散射激光雷达已被用于研究大气的气象特性,并表征源自表层土壤的机械干扰的PM羽流的命运(沉积和运输)。根据激光雷达的结果和粒度仪的测量结果,开发了粒度分布模型。设计了基于Mie散射理论的模型计算,以模拟所产生的尘埃羽流的光学散射的各种特征。现场测量用于分析反问题,并根据散射曲线描述颗粒物的性质。本文的研究工作取得了以下几方面的成果:(1)成功开发了LAPS的紫外气溶胶消光算法和望远镜外形。 (2)量化并建模了拉曼激光雷达消光,相对湿度和PM质量测量之间的关系。结果表明,我们可以使用拉曼激光雷达描述空气中颗粒物的垂直分布,从而更准确地描述空气污染事件的演变。 (3)加州除尘运动的建模结果表明,大颗粒(PM 10)的快速沉积,以及与小颗粒(<2 mum)相关的光学羽流的停留时间相对较长。 PM质量的快速损失可能导致高估了羽流中的空气传播颗粒质量,并且可以解释源估计与加利福尼亚已认识到的土壤颗粒测量质量之间的主要差异。 (4)来自后向散射激光雷达的信号比率和来自拉曼激光雷达的消光剖面比率在多个波长下用于证明可以获得有关大气中空气中颗粒特征的独特信息。

著录项

  • 作者

    Li, Guangkun.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Electronics and Electrical.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 178 p.
  • 总页数 178
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;遥感技术;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号