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http://dx.doi.org/10.6109/jkiice.2022.26.2.294

Research on appropriate search altitude for drone-based air pollution search  

Ha, Il-Kyu (School of Computer Science, Kyungil University)
Kim, Ki-Hyun (School of Computer Science, Kyungil University)
Kim, Jin-Hyung (School of Computer Science, Kyungil University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.2, 2022 , pp. 294-305 More about this Journal
Abstract
Recently, drones have been widely used to solve environmental problems such as environmental protection and natural disaster monitoring. This study focuses on the problem of the search altitude of drones when using drones to search for air pollution in order to maintain the urban air environment. In particular, when exploring air pollution in cities using drones, various experiments are conducted to determine the appropriate search altitude for each air pollution source and each communication module. Through the experiment, the maximum measurable altitude for the most common air pollutants, such as CO (carbon monoxide), NO2 (nitrogen dioxide), O3 (ozone), and P10, P2.5 (fine dust), was identified, and the effective search altitude for each air pollution source was determined. As a result of the experiment, three types of drone search altitudes including legally measurable altitudes were suggested. The communication module measurable altitude was 60m to 120m depending on the communication module, and the effective measurable altitude was analyzed from 10m to 100m.
Keywords
Drone-based air pollution search; Drone search altitude; Drone air pollution sensor; Drone communication module;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 D. Tsouros, S. Bibi, and P. Sarigiannidis, "A Review on UAV-Based Applications for Precision Agriculture," information, vol. 10, no. 11, Nov. 2019.
2 J. Hernandez-Vega, E. Varela, N. Romero, C. Hernandez-Santos, J. Sanchez-Cuevas, and D. Gorham, "Internet of Things (IoT) for Monitoring Air Pollutants with an Unmanned Aerial Vehicle (UAV) in a Smart City," Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 213, no. 1, pp. 108-120, Mar. 2018.   DOI
3 S. Kim and H. Jung, "Design and Implementation of Air Pollutant Monitoring System using Drone," in Proceeding of the Korean Institute of Information Technology Conference, Jeju Korea, pp. 313-316, 2021.
4 B. Kim, H. Lee, and S. Lee, "Proposal of fine dust concentration prediction system using neural network model and drone," in Proceeding of 2021 Korea Society of Management Information System International Conference, Seoul Korea, pp. 285-290, 2019.
5 D. Peleshko, T. Rak, J. Noennig, V. Lytvyn, and V. Vysotska, "Drone Monitoring System DROMOS of Urban Environmental Dynamics," in Proceeding of the 1st International Workshop IT Project Management, Slavsko, Ukraine, pp. 178-193, 2020.
6 M. Rutkauskas, M. Asenov, S. Ramamoorthy, and D. Reid, "Autonomous multi-species environmental gas sensing using drone-based Fourier-transform infrared spectroscopy," Optics Express, vol. 27, no. 7, pp. 9578-9587, Mar. 2019.   DOI
7 S. Lee, Y. Lee, Y. Lom, J. Kim, and D. Shin, "Comparison Study of Nitrogen Dioxide and Asthma Doctor's Diagnosis in Seoul," Journal of Korean Society for Atmospheric Environment, vol. 32, no. 6, pp.575-582, Jun. 2016.   DOI
8 K. Chang, "Bluetooth: a viable solution for IoT? [Industry Perspectives]," IEEE Wireless Communications, vol. 21, no. 6, pp. 6-7, Dec. 2014.   DOI
9 G. Bolla, M. Casagrande, A. Comazzetto, R. Moro, M. Destro, E. Fantin, G. Colombatti, A. Aboudan, and E. Lorenzini, "ARIA: Air Pollutants Monitoring Using UAVs," in Proceeding of the 5th IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace), Rome, Italy, pp. 1-5, Jun. 2018.
10 D. Seo and K. Yoon, "A Study on the Smart Filter System for External Environment Recognition," The Journal of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 2, pp. 271-278, Feb. 2021.   DOI
11 H. Hedworth, T. Sayahi, K. Kelly, and T. Saad, "The effectiveness of drones in measuring particulate matter," Journal of Aerosol Science, vol. 152, no. 1, Feb. 2021.
12 Q. Gu, D. Michanowicz, and C. Jia, "Developing a Modular Unmanned Aerial Vehicle(UAV) Platform for Air Pollution Profiling," Sensors, vol. 18, no. 12, pp. 4363, Dec. 2018.   DOI
13 G. Rohi, O. Fjofodomi, and G. Ofualagba, "Autonomous monitoring, analysis, and countering of air pollution using environmental drones," Heliyon, vol. 6, no. 1, Jan. 2020.
14 J. Kim, Y. Kim, H. Oh, Y. Son, H. Do, S. Kim, and K. Kwak, "Roadside Monitoring of Vertical NO2 Distribution using Drone Measurement at an Urban Site," in Proceeding of 2021 Korean Society for Atmospheric Environment Conference, Changwon Korea, pp. 421-421, 2021.
15 W. Choi, J. Kim, Y. Park, G. Ahn, and J. Lee, "Characteristics of Spatial Distribution of Particulate Matters in the Atmosphere around the Large Point Sources in Chungnam: Based on the Drone Measurement," in Proceeding of 2020 Korean Society for Atmospheric Environment Conference, Online, pp. 165-165, 2020.
16 C. Lee, J. Han, S. Han, D. Choi H. Song, H. Joo, K. Kim, G. Cheon, and G. Moon, "Vertical Distribution of Air Polluatnts 2 in Korea Using a Drone Monitoring System," in Proceeding of 2021 Korean Society for Atmospheric Environment Conference, Jeju, Korea, pp. 234-234, 2021.
17 I. Kuzminykh, A. Snihurov, and A. Carlesson, "Testing of communication range in ZigBee technology," in Proceeding of the 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Lviv, Ukraine, pp. 133-136, 2017.
18 J. Seo, S. Chae, J. Shim, H. Kim, and T. Han, "Research on post-response technology for environmental disasters using drones and analysis of research trends," Korea Environmental Policy Evaluation Institute report, vol. 16, no. 9, pp. 1031-1043, Jun. 2013.
19 S. Lee, H. Hwang, and J. Lee, "Measurement of Vertical Distribution of Air Pollutants near Roads using a Drone," in Proceeding of 2021 Korean Society for Atmospheric Environment Conference, Jeju, Korea, pp. 292-292, 2021.
20 R. Noori and D. Dahnil, "The Effects of Speed and Altitude on Wireless Air Pollution Measurements using Hexacopter Drone," International Journal of Advanced Computer Science and Applications, vol. 11, no. 9, Sep. 2020.
21 D. Gallacher, "Drone Applications for Environmental Management in Urban Spaces: A Review," International Journal of Sustainable Land Use and Urban Planning, vol. 3, no. 4, pp. 1-14, Jan. 2016.
22 N. Zema, E. Natalizio, and C. Calafate, "Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility," Journal of Advanced Transportation, vol. 2017, no. 1, Aug. 2020.
23 J. Shin, I. Kim, D. Hwang, J. Lee, and S. Lim, "Availability Analysis on Detection of Small Scale Gas Emission Facilities using Drone Imagery," Journal of Cadastre & Land InformatiX, vol. 47, no. 1, pp. 213-223, Jun. 2017.   DOI
24 N. Kim, "Development of atmospheric environment information collection system using drone," Smart Media Journal, vol. 7, no. 4, pp. 44-51, Dec. 2018.
25 S. Ryu, J. Kim, J. Kim, J. Yoo, B. Gong, and J. Park, "A Study on Air Pollution Point Source Tracking Method in the Industrial Complex Area Using Drone and Real-time Analyzer," Journal of the Korean Society of Urban Environment, vol. 19, no. 4, pp. 259-266, Dec. 2019.   DOI
26 S. Pochwala, A. Gardecki, P. Lewandowski, V. Somogyi, and S. Anweiler, "Developing of Low-Cost Air Pollution Sensor-Measurements with the Unmanned Aerial Vehicles in Poland," Sensors, vol. 20, no. 12, pp. 1-17, Jun. 2020.   DOI