Unmanned aerial vehicles equipped with sensor packages to study spatiotemporal variations of air pollutants in industry parks.

IF 4.3 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Pub Date : 2024-10-23 Epub Date: 2024-09-09 DOI:10.1098/rsta.2023.0314
Lang Chen, Xiaobing Pang, Zhentao Wu, Riyang Huang, Junyu Hu, Yi Liu, Lei Zhou, Jue Zhou, Zhiwen Wang
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Abstract

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 (CH4) leakages in a natural gas plant. The spatiotemporal variations of CH4 in both vertical and horizontal directions studied by UAV were employed to calculate accurate CH4 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'.

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无人驾驶飞行器配备传感器包,用于研究工业园区空气污染物的时空变化。
无人驾驶飞行器(UAV)配备了微型传感器包,用于空中观测,实现了大气科学科学家可负担得起的空中观测,并实现了高空间分辨率的空中测量。无人机被部署到不同的科学场景中执行各种空中探测任务,包括排放有害气体的化学工业园区(CIPs)和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用于探测郊区、化工园区和天然气厂的空气污染物。无人机研究了大气边界层高度、远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。无人机与传感器包一起部署,用于捕捉天然气厂的甲烷(CH4)泄漏。通过无人机研究 CH4 在垂直和水平方向上的时空变化,计算出准确的 CH4 排放量,这对减少温室气体排放至关重要。低成本无人机空气污染物传感技术是由约克大学庞小兵博士开发的,他于2009年获得了牛顿奖学金的资助。本文是 "庆祝英国皇家学会牛顿国际奖学金 15 周年 "主题刊物的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.30
自引率
2.00%
发文量
367
审稿时长
3 months
期刊介绍: Continuing its long history of influential scientific publishing, Philosophical Transactions A publishes high-quality theme issues on topics of current importance and general interest within the physical, mathematical and engineering sciences, guest-edited by leading authorities and comprising new research, reviews and opinions from prominent researchers.
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