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Application of Raman Lidar Advancements in Meteorology and Air Quality Monitoring

机译:拉曼激光雷达在气象与空气质量监测中的应用

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Raman lidar techniques provide vertical profiles of the key parameters needed for better understanding of meteorological and air pollution processes. The time sequence of atmospheric profiles is most valuable for understanding meteorological processes and describing the evolution of episodes and exposure associated with air pollution. The vibrational and rotational Raman lidar signals provide simultaneous profiles of ozone and airborne particulate matter, as well as several meteorological properties. The first operational prototype Raman lidar, Lidar Atmospheric Profile Sensor (LAPS), makes use of 2nd and 4th harmonic generated beams of a Nd:YAG laser to provide both daytime and nighttime measurements. The Raman scatter signals from vibrational states of water vapor and nitrogen provide robust profiles of the specific humidity in the lower atmosphere. The temperature profiles are measured using the ratio of rotational Raman signals at 530 and 528 nm from the 532 nm beam of the NdrYAG laser. Optical extinction profiles can be determined from the measured gradients in each of several molecular species profiles by comparing with the molecular scale height. Wavelengths at 284 nm, 530 nm and 607 nm have been used routinely to determine profiles of optical extinction. The ozone profiles in the lower troposphere are measured using a DIAL analysis of the ratio of the vibrational Raman signals for nitrogen (284 nm) and oxygen (278 nm), which are on the steep side of the Hartley band of ozone. Examples from several measurement campaigns are used to demonstrate the utility of Raman lidar for describing the evolution of air pollution events. The examples presented have been selected to show the new level of understanding of air pollution events and meteorological processes that is gained from applications of lidar techniques.
机译:拉曼激光雷达技术提供了更好地理解气象和空气污染过程所需的关键参数的垂直简介。大气轮廓的时间序列对于了解气象过程和描述与空气污染相关的发作和暴露的演变,是最有价值的。振动和旋转拉曼立激光雷达信号提供臭氧和空气颗粒物质的同时谱,以及几种气象性质。第一操作原型拉曼LIDAR,LIDAR大气轮廓传感器(圈),使用ND:YAG激光器的第二和第4次谐波产生的光束,以提供白天和夜间测量。来自水蒸气和氮气的振动状态的拉曼散射信号为下层大气中的特定湿度提供了鲁棒型材。使用从Ndryag激光器的532nm光束使用530和528nm的旋转拉曼信号的比率测量温度曲线。通过与分子尺度高度相比,可以通过与分子尺度高度相比,从测量的梯度测定光学消光剖面。已经常规使用284nm,530nm和607nm处的波长以确定光学灭绝的轮廓。较低对流层中的臭氧细胞型在使用氮气(284nm)和氧气(278nm)的振动拉曼信号的比率的拨号分析中测量,这是在臭氧的Hartley带的陡峭侧。来自多个测量活动的示例用于展示拉曼激光雷达的效用,用于描述空气污染事件的演变。所提出的实施例已被选中以显示从激光雷达技术的应用中获得的空气污染事件和气象过程的新的理解水平。

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