Li Xiao-Bing, Wang Dong-Sheng, Lu Qing-Chang, Peng Zhong-Ren, Lu Si-Jia, Li Bai, Li Chao
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Environ Pollut. 2017 May;224:107-116. doi: 10.1016/j.envpol.2017.01.064. Epub 2017 Feb 12.
Potential utilities of instrumented lightweight unmanned aerial vehicles (UAVs) to quickly characterize tropospheric ozone pollution and meteorological factors including air temperature and relative humidity at three-dimensional scales are highlighted in this study. Both vertical and horizontal variations of ozone within the 1000 m lower troposphere at a local area of 4 × 4 km are investigated during summer and autumn times. Results from field measurements show that the UAV platform has a sufficient reliability and precision in capturing spatiotemporal variations of ozone and meteorological factors. The results also reveal that ozone vertical variation is mainly linked to the vertical distribution patterns of air temperature and the horizontal transport of air masses from other regions. In addition, significant horizontal variations of ozone are also observed at different levels. Without major exhaust sources, ozone horizontal variation has a strong correlation with the vertical convection intensity of air masses within the lower troposphere. Higher air temperatures are usually related to lower ozone horizontal variations at the localized area, whereas underlying surface diversity has a week influence. Three-dimensional ozone maps are obtained using an interpolation method based on UAV collected samples, which are capable of clearly demonstrating the diurnal evolution processes of ozone within the 1000 m lower troposphere.
本研究强调了装备仪器的轻型无人机(UAV)在三维尺度上快速表征对流层臭氧污染以及包括气温和相对湿度在内的气象因素的潜在用途。在夏季和秋季期间,对4×4 km局部区域内对流层下部1000 m范围内臭氧的垂直和水平变化进行了研究。实地测量结果表明,无人机平台在捕捉臭氧和气象因素的时空变化方面具有足够的可靠性和精度。结果还表明,臭氧垂直变化主要与气温的垂直分布模式以及来自其他区域的气团水平输送有关。此外,在不同高度也观察到了显著的臭氧水平变化。在没有主要排放源的情况下,臭氧水平变化与对流层下部气团的垂直对流强度密切相关。较高的气温通常与局部区域较低的臭氧水平变化相关,而地表多样性的影响较弱。使用基于无人机采集样本的插值方法获得了三维臭氧图,这些图能够清晰地展示对流层下部1000 m范围内臭氧的日变化过程。