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

被引:0
|
作者
Chen, Lang [1 ]
Pang, Xiaobing [1 ]
Wu, Zhentao [1 ]
Huang, Riyang [1 ]
Hu, Junyu [1 ]
Liu, Yi [2 ]
Zhou, Lei [1 ]
Zhou, Jue [1 ]
Wang, Zhiwen [1 ]
机构
[1] Zhejiang Univ Technol, Coll Environm, Hangzhou 310014, Zhejiang Provin, Peoples R China
[2] Petro China Southwest Oil & Gas Field Co, Safety Environm & Technol Supervis Res Inst, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
unmanned aerial vehicle; spatiotemporal variations; sensor package; air pollutant; methane; EMISSIONS; POLLUTION;
D O I
10.1098/rsta.2023.0314
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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'.
引用
收藏
页数:18
相关论文
共 14 条
  • [1] Unmanned aerial vehicles (UAVs) in behavior mapping: A case study of neighborhood parks
    Park, Keunhyun
    Christensen, Keith
    Lee, Doohong
    URBAN FORESTRY & URBAN GREENING, 2020, 52
  • [2] Design and Implementation of a Compact Rotational Speed and Air Flow Sensor for Unmanned Aerial Vehicles
    Fries, Federico
    Win, Shane Kyi Hla
    Tang, Emmanuel
    Low, Jun En
    Win, Luke Soe Thura
    Valdivia y Alvarado, Pablo
    Foong, Shaohui
    IEEE SENSORS JOURNAL, 2019, 19 (22) : 10298 - 10307
  • [3] Multi Orifice Pitot Tube as Air Data Sensor for Small Unmanned Aerial Vehicles
    Hino, Takuma
    Takagi, Satoshi
    Tsuchiya, Takeshi
    TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 2011, 53 (182) : 320 - 322
  • [4] Unmanned aerial vehicles mitigate human-elephant conflict on the borders of Tanzanian Parks: a case study
    Hahn, Nathan
    Mwakatobe, Angela
    Konuche, Jonathan
    de Souza, Nadia
    Keyyu, Julius
    Goss, Marc
    Chang'a, Alex
    Palminteri, Suzanne
    Dinerstein, Eric
    Olson, David
    ORYX, 2017, 51 (03) : 513 - 516
  • [5] Study on Cooperative Air-to-Ground Surveillance Planning and Controlling for Unmanned Aerial Vehicles
    Chai, Shiyuan
    Yang, Zhen
    Huang, Jichuan
    Li, Xiaoyang
    Zhao, Yiyang
    Zhou, Deyun
    2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, : 905 - 910
  • [6] Developing of Low-Cost Air Pollution Sensor-Measurements with the Unmanned Aerial Vehicles in Poland
    Pochwala, Slawomir
    Gardecki, Arkadiusz
    Lewandowski, Piotr
    Somogyi, Viola
    Anweiler, Stanislaw
    SENSORS, 2020, 20 (12) : 1 - 17
  • [7] A guide to unmanned aerial vehicles performance analysis-the MQ-9 unmanned air vehicle case study
    Zountouridou, Erietta
    Kiokes, George
    Dimeas, Aris
    Prousalidis, John
    Hatziargyriou, Nikos
    JOURNAL OF ENGINEERING-JOE, 2023, 2023 (06):
  • [8] Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring
    Li, Bai
    Cao, Rong
    He, Hong-Di
    Peng, Zhong-Ren
    Qin, Hu
    Qin, Qin
    BUILDING AND ENVIRONMENT, 2022, 219
  • [9] VisNav100: A robust, compact imaging sensor for enabling autonomous air-to-air refueling of aircraft and unmanned aerial vehicles
    Katake, Anup
    Choi, Heeyoul
    IMAGE PROCESSING: MACHINE VISION APPLICATIONS III, 2010, 7538
  • [10] Study on the Key Technology of Unmanned Aerial Vehicles' Flight Survey and Remote Sensing System Sensor Integration
    Yang, Yong-Ming
    Fang, Yuan-Min
    INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND AUTOMATION (ICCEA 2014), 2014, : 679 - 683