山东师范大学学报(自然科学版)

2019, v.34;No.148(04) 433-442

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基于车载雷达的安平县颗粒物的走航与固定监测
NAVIGATION AND STATIONARY MONITORING OF PARTICULATE MATTER IN ANPING COUNTY BASED ON VEHICLE LIDAR

高静;赵曰峰;王旭;
Gao Jing;Zhao Yuefeng;Wang Xu;School of Physics and Electronics,Shandong Normal University;

摘要(Abstract):

研究了大气颗粒物激光雷达在区域大尺度的测量方面的优势及主要的观测方式,探讨了激光雷达的测量原理及两种常用的气溶胶消光系数反演方法.利用激光雷达辅助车载颗粒物监测仪组成的移动观测系统,以安平县为研究区域,通过走航式与固定垂直相结合的监测方式,获取了2017年9月15日-9日20日安平县的雷达数据.固定检测结果显示,15日晚上十点左右外来污染物开始输入,16日下午2点左右外来污染物与本地污染物叠加达到峰值,16日下午2点以后颗粒物浓度慢慢下降,这与环保部呈现的先升后降的空气质量趋势相一致.根据走航区域粒子后向轨迹追踪图结合当时的气象条件分析了污染物的输运,并进一步预测了安平县未来4天颗粒物、臭氧浓度的变化趋势.
This paper first studies the advantages and main observation methods of atmospheric particulate matter lidar in regional large-scale measurement, and then discusses the measurement principle of lidar and two commonly used methods for inversion of aerosol extinction coefficient.Finally, the mobile observation system consisting of lidar-assisted vehicle particle monitor is used. Anping County is used as the research area.The radar data of Anping county on September 15 th to September 20 th, 2017 are obtained by means of the combination of navigation type and fixed vertical monitoring.The results of fixed detection showed that foreign pollutants began to be imported around 10 pm on the 15 th, and the superimposed pollutants peaked around 2 pm on the 16 th.The concentration of particulate matter gradually decreased after 2 pm on the 16 th, which is in line with the trend of air quality rising first and then falling in accordance with the trend of the Ministry of Environmental Protection.According to the particle trajectory tracking map of the navigation area,the transport of pollutants is analyzed in combination with the meteorological conditions at that time,and the variation trend of particulate matter and ozone concentration in Anping county in the next four days is further predicted.

关键词(KeyWords): 大气颗粒物激光雷达;气溶胶消光系数;走航式
atmospheric particulate matter laser lidar;aerosol extinction coefficient;navigation type

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作者(Author): 高静;赵曰峰;王旭;
Gao Jing;Zhao Yuefeng;Wang Xu;School of Physics and Electronics,Shandong Normal University;

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