二维码(扫一下试试看!) | 拉曼-米激光雷达污染环境下气溶胶散射系数反演 | Accurate Inversion of Aerosol Backscattering Coefficient in the Near-Ground Haze Condition with Rotational Raman-Mie Lidar | 投稿时间:2020-04-20 | DOI:10.15918/j.tbit1001-0645.2020.067 | 中文关键词:拉曼-米激光雷达后向散射系数气溶胶遥感探测大气分子散射雾霾 | English Keywords:Raman-Mie lidarbackscattering coefficientaerosol remote sensingatmospheric molecular scatteringhaze | 基金项目:国家自然科学基金青年科学基金资助项目(61505009) | | 摘要点击次数:437 | 全文下载次数:214 | 中文摘要: | 提出一种针对雾霾等大气污染环境下近地面区域气溶胶后向散射系数的修正反演方法.针对大气污染环境下近地面气溶胶含量激增导致弹性信号强度超过激光雷达抑制比而引发弹性信号泄漏,进而造成转动拉曼信号发生畸变,提出一种拉曼回波信号修正方法;同时考虑了大气温度对大气分子散射应用于气溶胶反演的影响.实验表明,相比经典Raman-Mie气溶胶反演方法,修正算法反演近地面稳定气溶胶层内气溶胶后向散射系数精度可提高约20%,有助于改善拉曼-米雷达在污染环境下的总体探测性能. | English Summary: | A modified inversion method for aerosol backscattering coefficient in the near-ground haze condition was proposed for rotational Raman-Mie lidar.In order to solve the problems of the intensity of the elastic scattering light to exceed the generally applicable suppression ratio of lidar system resulted from the surge of aerosol concentration in the near-ground haze condition,and some distortions of the Raman signals caused in the leaked elastic signal,a correction method was proposed to modify the abnormal signal with coefficient and considering the effect of atmospheric temperature on the aerosol backscatter inversion in addition.Experiment results show that,compared with the classic Raman-Mie method,the proposed method can improve the accuracy of the aerosol backscattering coefficient in the near-ground stable aerosol layer by about 20% so as to enhance the detecting performance of Raman-Mie lidar in polluted air condition. | 查看全文查看/发表评论下载PDF阅读器 | |
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