Chen Lang, Pang Xiaobing, Wu Zhentao, Huang Riyang, Hu Junyu, Liu Yi, Zhou Lei, Zhou Jue, Wang Zhiwen
College of Environment, Zhejiang University of Technology , Hangzhou, Zhejiang Province 310014, People's Republic of China.
Safety, Environment and Technology Supervision Research Institute of PetroChina Southwest Oil and Gas Field Company , Chengdu 610041, People's Republic of China.
Philos Trans A Math Phys Eng Sci. 2024 Oct 23;382(2281):20230314. doi: 10.1098/rsta.2023.0314. Epub 2024 Sep 9.
Unmanned aerial vehicles (UAVs) equipped with a miniaturized sensor package were developed for aerial observations, which realizes aerial observations affordable to scientists in atmospheric science and achieves aerial measurements in high spatial resolution. UAVs are deployed to a variety of aerial detecting tasks in different scientific scenarios including chemical industry parks (CIPs) with hazardous gases emissions, and some places difficult for humans to reach. In this study, UAV sensing technology was deployed to detect air pollutants in a suburb, a CIP and a natural gas plant, respectively. The effects of atmospheric conditions such as the atmospheric boundary layer height, long-distance transport and atmospheric stability on the spatiotemporal variations of the air pollutants vertical profiles were investigated by the UAV. The UAV with the sensor package was deployed to capture the methane (CH) leakages in a natural gas plant. The spatiotemporal variations of CH in both vertical and horizontal directions studied by UAV were employed to calculate accurate CH emissions, which is crucial to reducing the emissions of greenhouse gases. The low-cost UAV sensing technology for air pollutants was developed by Dr. Xiaobing Pang, who was funded by the Newton Fellowship in 2009 and worked in the University of York. This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.
配备小型传感器套件的无人机被开发用于空中观测,这使得大气科学领域的科学家能够负担得起空中观测,并实现高空间分辨率的空中测量。无人机被部署到各种不同科学场景中的空中探测任务,包括有有害气体排放的化工园区,以及一些人类难以到达的地方。在本研究中,无人机传感技术分别被部署到一个郊区、一个化工园区和一个天然气厂来检测空气污染物。通过无人机研究了大气边界层高度、长距离传输和大气稳定性等大气条件对空气污染物垂直剖面时空变化的影响。配备传感器套件的无人机被部署到天然气厂以捕捉甲烷(CH₄)泄漏情况。利用无人机研究的CH₄在垂直和水平方向的时空变化来计算准确的CH₄排放量,这对于减少温室气体排放至关重要。用于空气污染物的低成本无人机传感技术由庞小兵博士开发,他于2009年获得牛顿奖学金并在约克大学工作。本文是主题特刊“庆祝英国皇家学会牛顿国际奖学金设立15周年”的一部分。