摘要
无人机因具有巡视区域广、实时性强等优点已逐步应用于船舶尾气监测领域.在盘锦港内选取具有代表性的区域为研究对象,利用"无人机+嗅探"技术,对港区内船舶进行实时动态尾气监测,研究NO2、SO2、PM2.5、VOCs、CO、O3+NO2等污染物浓度空间分布.结果表明:嗅探技术可以迅速定位空气中污染物高值区域,能对船舶尾气污染物的时空演变和垂直分布进行有效分析,可为船舶大气污染监测提供技术支持和参考依据.
Abstract
Unmanned aerial vehicles(UAVs)have gradually been applied in the field of ship exhaust monitoring due to their advantages such as wide inspection area and excellent performance in simultaneousness.Representative areas within the Panjin Port have been selected for research,and by virtue of the"drone+sniffing"technology,real-time dynamic tail gas monitoring of ships in the port area has been conducted,including the spatial distribution of concentration and humidity of pollutants such as NO2,SO2,PM2.5,VOCs,CO,O3+NO2,etc.The results show that sniffing technology can quickly locate high-value areas of pollutants in the atmosphere,and analyze the spatiotemporal evolution and vertical distribution of ship exhaust pollutants.It can provide technical support and reference basis for ship air pollution monitoring.
国家科技期刊平台
NSTL
万方数据