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无人机三维空气质量监测研究

发布时间:2018-10-21 11:59
【摘要】:针对现有空气监测缺乏污染垂直分布特征的观测及数据采集覆盖范围有限的问题,该文提出了用无人驾驶飞机搭载微型空气质量检测器监测大气污染的方法,首先分析了传统地面监测站的缺点,并阐述了监测设备的构成;然后从无人驾驶飞机大气污染空间采样方案、污染物数据的准确性及可靠性校正、大气污染时空规律几个方面做了研究;最后选择浙江省临安市青山湖街道、上海奉贤区等地区进行了试验。研究结果能有效补充地面监测站的数据缺失,揭示PM2.5、O3等大气污染物的垂直分布、垂直扩散及区域性输送特征,为空气污染预警和防控对策机制的制定提供重要技术依据。
[Abstract]:In order to solve the problem of the lack of vertical distribution of air pollution and the limited coverage of data acquisition, a method of monitoring air pollution by pilotless aircraft with a micro air quality detector is proposed in this paper. This paper first analyzes the shortcomings of traditional ground monitoring station, and expounds the composition of monitoring equipment, and then corrects the accuracy and reliability of pollutant data from the space sampling scheme of air pollution of unmanned aerial vehicles. The spatiotemporal laws of air pollution were studied in several aspects. Finally, the experiment was carried out in Qingshan Lake Street of Lin'an City, Zhejiang Province and Fengxian District of Shanghai. The results of the study can effectively supplement the lack of data from the ground monitoring station, reveal the vertical distribution, vertical diffusion and regional transport characteristics of atmospheric pollutants such as PM2.5,O3, and provide an important technical basis for the establishment of air pollution early warning and prevention and control countermeasures.
【作者单位】: 浙江省第二测绘院;青田县国土资源局;浙江省地理信息中心;
【分类号】:X831

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相关硕士学位论文 前1条

1 莫蝉杏;区域大气污染联合防治法律制度的研究[D];广西大学;2017年



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