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Multistatic lidar profile measurements of lower tropospheric aerosol and particulate matter.

机译:对流层下部气溶胶和颗粒物的多基地激光雷达轮廓测量。

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There is growing interest in the continuous monitoring of the vertical transport and distribution of aerosols and particulates. Laser remote sensing offers a practical tool to accomplish this task. A U.S. Environmental Protection Agency-sponsored field study was conducted in the city of Philadelphia in the summer of 2001 as part of the North-East Oxidant and Particulate Study. This study brought together a consortium of researchers to measure and investigate pollutants and particulate matter in an urban environment. Our own investigation focused on the vertical atmosphere from 10 meters to 100 meters in altitude. Measurements of the parallel and perpendicular polarization components of the laser were taken and then divided to form a polarization ratio. Using the polarization ratio as opposed to analyzing a particular polarization component significantly reduces instrument errors and alleviates the need for range and volume corrections while still retaining the characteristics produced from scattering. In order to obtain aerosol distribution parameters, the polarization ratio measurements were fitted with an atmospheric model that combined Mie theory and a trimodal lognormal aerosol distribution. The aerosol distribution model used particles in the range from 1 nanometer to 35 micrometers. While the monitoring of vertical aerosol profiles was shown to be possible, accurate inversion of the aerosol parameters still poses significant challenges.; A theoretical investigation of the polarization ratio determined that the total observed scattering angle range should be at least 10 degrees for an atmosphere that contains ultrafine, fine and coarse aerosol modes (i.e., trimodal aerosol number density population). However, for distributions that are more monodispersed or for atmospheric distributions that contain a significant number of large particles (such as in the case of radiation fog), fewer observed scattering angles are needed. Additionally, the polarization ratio was found to be insensitive to the imaginary part of the refractive index but very sensitive to changes in the real part of the refractive index. Subsequently, the scattering model could not model the imaginary part of the index of refraction.; Experimental results of the nighttime atmosphere revealed the presence of aerosol variations over altitude. Further, a time sequence of several data sets showed rapid changes in the aerosol profile over time and in space. The overall observed nighttime atmospheric variability is in contrast to the daytime where convective forcing yields a much more uniformly distributed atmosphere. Modeling of the aerosol profile suggested the aerosol variations might depend on several factors, not necessarily only total number density. To specify the exact nature of the altitude dependence, direct measurement of the aerosols at the observed altitudes is needed. However, some data that was taken indicated a uniformly mixed atmosphere and thus allowed the retrieval of aerosol parameters. Fits of the model to this data used real refractive indices of refraction from 1.33 to 1.45 and clearly demonstrated the influence the refractive index has on the accuracy of the retrieved parameters.
机译:持续监测气溶胶和微粒的垂直传输和分布的兴趣日益浓厚。激光遥感为完成这项任务提供了一种实用的工具。作为东北氧化剂和颗粒物研究的一部分,美国环境保护署赞助的一项现场研究于2001年夏季在费城进行。这项研究聚集了一组研究人员,以测量和调查城市环境中的污染物和颗粒物。我们自己的调查重点是从海拔10米到100米的垂直大气。进行激光平行和垂直偏振分量的测量,然后划分为偏振比。与分析特定偏振分量相反,使用偏振比可显着减少仪器误差并减轻对距离和体积校正的需求,同时仍保留由散射产生的特性。为了获得气溶胶分布参数,将极化比测量值与结合了Mie理论和三峰对数正态气溶胶分布的大气模型拟合。气溶胶分布模型使用的颗粒范围是1纳米至35微米。虽然可以监测垂直的气溶胶剖面,但精确的气溶胶参数反演仍面临巨大挑战。对极化率的理论研究确定,对于包含超细,细和粗气溶胶模态(即三峰气溶胶数密度总体)的大气,总的观测散射角范围应至少为10度。但是,对于更单分散的分布或包含大量大颗粒的大气分布(例如在辐射雾的情况下),需要较少的观察到的散射角。另外,发现偏振比对折射率的虚部不敏感,但是对折射率的实部变化非常敏感。随后,散射模型无法对折射率的虚部建模。夜间大气的实验结果表明,高度上存在气溶胶变化。此外,几个数据集的时间序列显示了气溶胶剖面随时间和空间的快速变化。总体上观察到的夜间大气变化与白天相比,白天的对流强迫产生的大气分布更加均匀。气溶胶剖面模型表明,气溶胶变化可能取决于几个因素,而不仅取决于总数。为了指定高度依赖性的确切性质,需要在观测到的高度直接测量气溶胶。但是,一些数据表明混合气氛均匀,因此可以获取气溶胶参数。该模型对该数据的拟合使用了1.33至1.45的实际折射率,并清楚地证明了折射率对检索到的参数精度的影响。

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