Jianfeng Zhang, Zhen Zhou, Qiaoyun Huang, Xuan Liu, Baixue Wang, Bin Hu
{"title":"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","authors":"Jianfeng Zhang, Zhen Zhou, Qiaoyun Huang, Xuan Liu, Baixue Wang, Bin Hu","doi":"10.1021/acs.est.5c02330","DOIUrl":null,"url":null,"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/m<sup>3</sup>; limits of quantification, LOQs: 3.84–37.61 μg/m<sup>3</sup>), good reproducibility (relative standard deviations, RSDs, intraday: 0.96–16.49%; interday: 1.17–18.28%; <i>n</i> = 7), and excellent quantitative ability (<i>R</i><sup>2</sup> > 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.","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":"17 1","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Visual Monitoring and High Spatiotemporal-Resolution Mapping of Air Pollutants Using a Drone-Mass Spectrometer System\",\"authors\":\"Jianfeng Zhang, Zhen Zhou, Qiaoyun Huang, Xuan Liu, Baixue Wang, Bin Hu\",\"doi\":\"10.1021/acs.est.5c02330\",\"DOIUrl\":null,\"url\":null,\"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/m<sup>3</sup>; limits of quantification, LOQs: 3.84–37.61 μg/m<sup>3</sup>), good reproducibility (relative standard deviations, RSDs, intraday: 0.96–16.49%; interday: 1.17–18.28%; <i>n</i> = 7), and excellent quantitative ability (<i>R</i><sup>2</sup> > 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.\",\"PeriodicalId\":36,\"journal\":{\"name\":\"环境科学与技术\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":10.8000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"环境科学与技术\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.est.5c02330\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.est.5c02330","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Real-Time Visual Monitoring and High Spatiotemporal-Resolution Mapping of Air Pollutants Using a Drone-Mass Spectrometer System
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.
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.