Real-Time Visual Monitoring and High Spatiotemporal-Resolution Mapping of Air Pollutants Using a Drone-Mass Spectrometer System

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Jianfeng Zhang, Zhen Zhou, Qiaoyun Huang, Xuan Liu, Baixue Wang, Bin Hu
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Abstract

Volatile organic compounds (VOCs) play multifaceted roles in the formation of air pollutants. Real-time online monitoring of VOCs is highly needed for understanding their emission sources, environmental impacts, health effects, and climate changes, as many analytical methods are limited to field detection. In this work, a flying-drone-based mass spectrometer (drone-MS) system was developed for visual real-time monitoring of complex VOCs and mapping their diffusions and distributions in the air along with spatiotemporal, geospatial, and environmental information that varies with the flight paths. Analytical performances of the drone-MS system were investigated by detecting a mixture of 18 VOCs, showing high sensitivity (limits of detection, LODs: 1.10–17.91 μg/m3; limits of quantification, LOQs: 3.84–37.61 μg/m3), good reproducibility (relative standard deviations, RSDs, intraday: 0.96–16.49%; interday: 1.17–18.28%; n = 7), and excellent quantitative ability (R2 > 0.99). Online monitoring of complex VOCs was successfully obtained at high temporal resolution (1.0 s) and high spatial resolution (2.0 m), providing an accurate source apportionment of different VOC emissions. Furthermore, practical applications of urban air quality monitoring and spatial distribution mapping of complex VOCs in air were also demonstrated. Overall, this methodology offers new possibilities for the online monitoring of complex VOCs in the air, effectively tackling the longstanding challenge of accurately characterizing complex VOCs and their diffusions and distributions.

Abstract Image

利用无人机-质谱仪系统对空气污染物进行实时可视化监测和高时空分辨率制图
挥发性有机化合物(VOCs)在空气污染物的形成中起着多方面的作用。由于许多分析方法仅限于现场检测,因此迫切需要对VOCs进行实时在线监测,以了解其排放源、环境影响、健康影响和气候变化。在这项工作中,开发了一种基于无人机的质谱仪(drone-MS)系统,用于可视化实时监测复杂挥发性有机化合物,并绘制其在空气中的扩散和分布,以及随飞行路径变化的时空、地理空间和环境信息。通过对18种VOCs的混合检测,研究了无人机-质谱系统的分析性能,显示出较高的灵敏度(检出限为1.10 ~ 17.91 μg/m3;定量限:3.84 ~ 37.61 μg/m3),重现性好(日内相对标准偏差:0.96 ~ 16.49%;interday: 1.17 - -18.28%;n = 7),定量能力优秀(R2 >;0.99)。成功实现了高时间分辨率(1.0 s)和高空间分辨率(2.0 m)的复杂挥发性有机化合物在线监测,提供了不同挥发性有机化合物排放源的准确解析。此外,还展示了城市空气质量监测和复杂挥发性有机化合物空间分布图的实际应用。总体而言,该方法为在线监测空气中复杂挥发性有机化合物提供了新的可能性,有效地解决了准确表征复杂挥发性有机化合物及其扩散和分布的长期挑战。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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