| 利用激光雷达探测灰霾天气大气边界层高度 |
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| 引用本文： | 张婉春,张莹,吕阳,李凯涛,李正强.利用激光雷达探测灰霾天气大气边界层高度[J].遥感学报,2013,17(4):981-992. |
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| 作者姓名： | 张婉春 张莹 吕阳 李凯涛 李正强 |
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| 作者单位： | 中国科学院遥感应用研究所,中国科学院遥感与数字地球研究所 国家环境保护卫星遥感重点实验室,中国科学院遥感与数字地球研究所 国家环境保护卫星遥感重点实验室 |
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| 基金项目： | 科技部全球变化研究重大科学研究计划；中国科学院战略性先导科技专项 |
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| 摘 要： | 为了探测灰霾天气大气边界层高度变化的特征，利用CE370-C型微脉冲激光雷达观测了北京2013年1月严重灰霾期间的大气边界层高度。基于激光雷达距离校正回波信号，使用梯度法处理了严重灰霾天和轻度灰霾天的大气边界层观测数据，发现在灰霾天气时大气边界层高度显著降低，严重污染时的大气边界层高度低于500米，日平均高度约424米，且与PM2.5浓度呈现明显的负相关性。将激光雷达探测结果与探空数据进行了对比分析，结果显示激光雷达与探空数据观测结果有较好的一致性，两者在本次灰霾期间的平均差异约为86米。
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| 关 键 词： | 灰霾 大气边界层高度 激光雷达 梯度法 |
| 收稿时间： | 4/7/2013 12:00:00 AM |
| 修稿时间： | 6/4/2013 12:00:00 AM |
Observation of atmospheric boundary layer height by ground-based LiDAR during haze days |
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| ZHANG Wanchun,ZHANG Ying,LV Yang,LI Kaitao and LI Zhengqiang.Observation of atmospheric boundary layer height by ground-based LiDAR during haze days[J].Journal of Remote Sensing,2013,17(4):981-992. |
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| Authors: | ZHANG Wanchun ZHANG Ying LV Yang LI Kaitao and LI Zhengqiang |
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| Institution: | State Environmental Protection Key Laboratory of Satellites Remote Sensing, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences,State Environmental Protection Key Laboratory of Satellites Remote Sensing, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences |
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| Abstract: | In order to investigate characteristics of atmospheric boundary layer height (ABLH) during haze pollution, we used ground-based CE370-C micro pulse LiDAR to derive the ABLH during January 2013 over Beijing, based on the gradient method. We find that the ABLH in severe haze days is lower than that in weak haze days and beneath about 500 m, with daily averaged value of about 424 m. The ABLH has negative correlation with the concentration of surface PM2.5. The comparison of LiDAR observation with radiosonde detection is also presented in the paper and results show that two approaches have good consistency with difference less than about 86 meters. |
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| Keywords: | haze atmospheric boundary layer height LiDAR gradient method |
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