Smart City Gnosys

Smart city article details

Title Smart City Air Quality Management Through Leveraging Drones For Precision Monitoring
ID_Doc 49964
Authors Bakirci M.
Year 2024
Published Sustainable Cities and Society, 106
DOI http://dx.doi.org/10.1016/j.scs.2024.105390
Abstract Air pollution stands out as one of the most critical challenges impacting public health, the overall quality of life, and the pursuit of sustainable development in urban environments. Each existing air quality monitoring method carries inherent limitations alongside its advantages. This study addresses the drawbacks of both satellite-based and fixed monitoring stations by proposing a drone-based air quality monitoring solution. The entire urban area was surveyed using a multi-rotor drone equipped with sensors capable of measuring atmospheric components, resulting in the creation of high-resolution air pollution maps. The expansive urban area, exceeding the coverage capacity of a single flight, was systematically subdivided into subregions. Distinct measurements were conducted in each subregion, and a consolidated mapping was generated by combining the individual results obtained. The drone, operating autonomously, conducted precise measurements on a citywide scale, enhancing the consistency of pollutant mapping by eliminating potential errors associated with manual control. Pollution sources were identified throughout the city, and real-time data revealed how transportation-induced air pollution affected different regions. Environmental factors like wind and pressure differences were identified as influential in the varied spread of air pollutants across different parts of the city. The study underscores the pivotal role of transportation in urban air pollution, laying the groundwork for the development of targeted pollution control strategies in urban environments. Furthermore, the research validates the potential of UAVs in advancing the efficient management of smart cities, particularly through the monitoring and analysis of air pollution stemming from transportation. © 2024 Elsevier Ltd
Author Keywords Air pollution; Autonomous control; Transportation; Unmanned aerial vehicle; Urban environment


Similar Articles


Id Similarity Authors Title Published
24659 View0.937Bakirci M.Evaluating The Impact Of Unmanned Aerial Vehicles (Uavs) On Air Quality Management In Smart Cities: A Comprehensive Analysis Of Transportation-Related PollutionComputers and Electrical Engineering, 119 (2024)
22763 View0.922Yadav P.; Porwal T.; Jha V.; Indu S.Emerging Low-Cost Air Quality Monitoring Techniques For Smart Cities With UavProceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies (2020)
19658 View0.922Alshbatat A.I.N.Development Of Autonomous Hexacopter Uavs For Smart City Air Quality ManagementJordan Journal of Electrical Engineering, 9, 3 (2023)
1066 View0.915Gu Q.; Jia C.A Consumer Uav-Based Air Quality Monitoring System For Smart Cities2019 IEEE International Conference on Consumer Electronics, ICCE 2019 (2019)
50771 View0.899Prameeladevi C.; Sujatha K.; Rohini G.; Tamilselvi C.; Janaki N.; Bhavani N.P.G.; Srividhya V.; Saranya S.; Ganesan A.Smart Drone For Air Quality Monitoring And Forecasting Using Intelligent Systems For Multi-Purpose EnvironmentLecture Notes in Networks and Systems, 1254 (2025)
33058 View0.896Özer M.M.Internet Of Things-Based Drone Case Study For Atmospheric Data CollectionLecture Notes in Networks and Systems, 1138 LNNS (2024)
21071 View0.879Prabu B.; Malathy R.; Taj M.N.A.G.; Madhan N.Drone Networks And Monitoring Systems In Smart CitiesAI-Centric Smart City Ecosystems: Technologies, Design and Implementation (2022)
59256 View0.874Sharma R.; Arya R.Uav Based Long Range Environment Monitoring System With Industry 5.0 Perspectives For Smart City InfrastructureComputers and Industrial Engineering, 168 (2022)
7159 View0.873Karna N.; Lubna D.L.; Shin S.Y.Air Quality Measurement Device Using Programmable Quadcopter Drone Towards Internet Of Drone ThingsInternational Conference on ICT Convergence, 2021-October (2021)
6671 View0.866Tan H.; Guo Z.; Yan J.; Zhang D.; Chen Y.; Zhang H.Advancing Low-Carbon Smart Cities: Leveraging Uavs-Enabled Low-Altitude Economy Principles And InnovationsRenewable and Sustainable Energy Reviews, 222 (2025)