济南市一次污染传输过程中的光量子雷达联合组网监测

Research of a Pollution Transmission Event Based on Jinan Lidar Monitoring Networking

  • 摘要: 为实现对污染传输过程的协同立体观测,将自主开发的光量子雷达联合组网系统在济南市部署并运行,获取颗粒物在水平和垂直方向、以及风场和能见度四个视角的雷达观测数据,并结合空气质量监测站的监测信息,对2023年11月2日至3日期间的污染传输事件进行了综合分析。济南市光量子雷达水平扫描监测很好的监测到此次污染事件的污染团入境、传输、累积、过境等过程,为解析大气污染的形成机制及追溯污染源提供了证据。在垂直监测方面,从时间和空间两个维度监测到污染团入境的演变过程,并分析了其与颗粒物浓度变化之间的联系。此外,通过测风雷达监测数据发现,风速和风向对污染过程具有显著影响,进一步验证了气象条件在污染传输中的重要作用。能见度雷达监测到污染事件发生后能见度距离的实时变化,为评估污染程度及其对人们生活的影响提供了依据。光量子雷达组网监测系统在此次污染事件中展现出了全面的观测能力,不仅准确获取了污染来源、污染成因及相关气象数据等信息,还为当地污染治理和区域联防联控工作的有效开展提供了科学依据和参考。

     

    Abstract: To achieve coordinated three-dimensional observations of pollution transmission processes,the self-developed lidar network system was deployed and operated in Jinan, obtaining lidar observation data in four perspectives: horizontal, vertical, wind field, and visibility. Combined with monitoring information from air quality monitoring station, comprehensive analysis was conducted on the pollution transport event that occurred from November 2nd to 3rd, 2023. The lidar's horizontal scanning effectively monitored the processes of the pollution plume's entry, transport, accumulation, and transit during this event, providing evidence for analyzing the formation mechanism of atmospheric pollution and tracing pollution sources. In terms of vertical monitoring, the evolution of the pollution plume's entry was observed from both temporal and spatial dimensions, and the relationship between it and changes in particulate matter concentration was analyzed. Additionally, data from the wind lidar revealed that wind speed and direction have a significant impact on pollution processes, further validating the crucial role of meteorological conditions in pollution transport. The visibility lidar monitored real-time changes in visibility distance following the pollution event, providing a basis for assessing pollution levels and their impact on people's lives. The lidar monitoring network demonstrated comprehensive observation capabilities during this pollution event, not only accurately obtaining information on pollution sources, pollution causes, and related meteorological data, but also providing scientific evidence and reference for the effective implementation of local pollution control and regional joint prevention and control efforts.

     

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