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大气消光系数反演方法参数优化及成都地区大气边界层特性研究

Investigations for Parametric Optimization in Inversion of Lidar Return Signals and Characteristics of Atmospheric Boundary Layer over Chengdu

【作者】 王治华

【导师】 杨经国;

【作者基本信息】 四川大学 , 凝聚态物理, 2006, 硕士

【摘要】 气溶胶粒子在云雾、降水、大气辐射、大气光、电等大气物理过程中起着重要作用。它既可以通过吸收和散射太阳辐射来直接扰动地—气系统的辐射平衡,产生直接气候效应;又可以作为云的凝结核影响云的光学特性、云量以及云的寿命,产生间接气候效应。气溶胶粒子对太阳光的散射和吸收,会影响大气能见度,使可见距离缩短。另外,气溶胶中的固态粒子能够吸附大气中的微量气体,液态粒子能溶解微量气体,它们在化学反应后生成新的物质微粒,会造成严重的大气污染事件。因此,准确地了解各种类型大气气溶胶的光学特性及其时、空分布对大气环境监测与控制具有十分重要的理论和实际意义。 大气Mie散射激光雷达通过所发射激光束与微小的大气气溶胶粒子产生有效相互作用,由其所产生回波可以解析大气消光系数和后向散射系数,获得大气气溶胶时、空分布状况。Mie散射激光雷达具有高的空间分辨率,时间上可连续测量,强度测量精度高,使Mie散射大气激光雷达成为大气气溶胶探测与研究的重要手段。 本文在大气Mie散射激光雷达回波信号Klett反演计算中发现,使用Mie散射激光雷达在阴、雾和晴三种天气状况下反演获得的气溶胶消光系数受气溶胶后向散射消光对数比取值影响很大。由于天气状况与大气能见度相关,作者提出,根据天气状况确定气溶胶后向散射消光对数比参数。首先,由天气状况估算大气能见度,进而由大气能见度确定后向散射消光对数比取值。用此方法求

【Abstract】 Atmospheric aerosol plays a very important role in physics and chemistry processes of atmosphere. It can directly disturb the radiation balance of the earth-air system by absorbing and scattering the solar radiation, produces directly climate effect. It can influence the optical characteristics, quantities and durations of the clouds as condense-cores, produces indirectly climate effect. The particles of aerosol can reduce the atmospheric visibility through absorbing and scattering. Moreover, aerosol can cause serious atmospheric pollution by way of absorbing or dissolving trace gas of atmosphere. So it is very significant to understand the optical characteristics and spatial-temporal distributions of all kinds of aerosol.Though its high temporal and spatial resolution, Mie scattering Lidar technique is a powerful tool to detect, in real time, the atmospheric return signals, using the aerosol as passive tracers of the atmospheric dynamical processes. Atmospheric extinction coefficient and backscatter coefficient are calculated by processing the return signals.Based on Lidar detecting and Klett’s inversion algorithm, atmospheric optical parameters are obtained in this work. However, the selection of parameters largely

  • 【网络出版投稿人】 四川大学
  • 【网络出版年期】2007年 03期
  • 【分类号】TP79
  • 【被引频次】13
  • 【下载频次】611
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