无人机三维空气质量监测研究

Study on three dimensional air quality monitoring by unmanned aerial vehicle

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。

According to the fact that the observation of vertical distribution characteristics and data collection coverage were limited in the air monitoring area.this paper presented a method of monitoring air pollution by using a micro air quality detector with an unmanned aerial vehicle.Firstly,the shortcomings of the traditional ground monitoring station were analyzed and the structure of the monitoring equipment was described;then,the air pollution sampling scheme,the accuracy and reliability of the pollutant data,and the time and space law of air pollution were studied;finally,experiments were carried out in Castle Peak Lake Street,Lin＇an City,Zhejiang Province,and Fengxian District,Shanghai.The results of the study can effectively supplemented the missing data of the ground station,revealed the vertical distribution of air pollutants such as PM2.5,O_3,et al,provided important technical foundation for air pollution alert and formulating prevention mechanisms.