O. Kovalov, A. Elizarov, V. Kokhanenko, S. Manshura. Method of local atmosphere monitoring using drone. P. 208-231.

 

Method of local atmosphere monitoring using drone

 

Oleksandr Kovalov

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-4974-5201

 

Alexander Elizarov

National University of Civil Defence of Ukraine

https://orcid.org/0000-0003-3671-5764

 

Vladimir Kokhanenko

National University of Civil Defence of Ukraine

https://orcid.org/0000-0001-5555-5239

 

Svyatoslav Manshura

National Academy of the National Guard of Ukraine

http://orcid.org/0000-0002-9258-9320

 

DOI: https://doi.org/10.52363/2524-0226-2021-34-16

 

Keywords: Tropospheric monitoring, unmanned, aircraft, monitoring means, state of the atmosphere, determination of coordinates, measuring points

 

Аnnotation

Theoretical substantiation of the method of organization of tropospheric monitoring by means of unmanned aerial vehicles with means of atmospheric monitoring installed on board as an auxiliary technical element of the method of organization of atmospheric monitoring by automated stations located on the basis of base stations of mobile operators is carried out. The analysis of liquidations of consequences of resonant accidents, and also designs and characteristics of unmanned aerial vehicles used at their liquidation is carried out. Modern types and characteristics of measuring equipment that can be installed on board unmanned aerial vehicles and used in atmospheric monitoring are considered. An algorithm for tropospheric monitoring has been developed, based on the use of unmanned aerial vehicles with state monitoring devices installed on board, for the operation of which the time during which measurements should be performed, as well as the required number and coordinates of concentration measurement points have been determined. Differs from existing solutions to the problem of determining the coordinates of measurement points using genetic algorithms. Also, the developed method of local monitoring of the atmosphere with the help of unmanned aerial vehicles equipped with means of monitoring the state of the atmosphere took into account the information delay and determined the time interval during which it is possible to perform measurements. The results obtained in the work are of most interest to the rescue services, which plan to use unmanned aerial vehicles to monitor the state of the atmosphere in emergencies, accompanied by emissions of pollutants into the atmosphere.

 

References

  1. Kovalev, A. A. (2020). Obosnovanie metoda operativnogo kontrolja sostojanija atmosfery v uslovijah chrezvychajnyh situacij. Problemi nadzvichajnih situacіj, Harkіv: NUCZU, 31, 48–67.
  2. Kovalev, O. O. Sobina, V. O., Sokolov, D. L., Garbuz, S. V., Vasil'єv, S. V., Kohanenko, V. B. (2020). Metod organіzacії monіtoringu atmosfernogo povіtrja. Tehnogenno-ekologіchna bezpeka. Harkіv: NUCZU, 9, 94–103.
  3. Direktiva 2008/50/ЄS Єvropejs'kogo parlamentu ta radi vіd 21 travnja 2008 roku «Pro jakіst' atmosfernogo povіtrja ta chistіshe povіtrja dlja Єvropi».
  4. Using A Drone in Environmental Monitoring: Particulate Matter Measurement Gnawali, Netra. (2018). Retrieved from https://urn.fi/URN:NBN:fi:amk-2018122022616
  5. Atkins, N. Air Pollution Dispersion: Ventilation Factor. Retrieved from http://apollo.lsc.vsc.edu/classes/met130/notes/chapter18/dispersion_intro.html
  6. Yukihisa, S., Yoshimi, U., Miyuki, S., Kotaro O., Tatsuo T. (2018). Evaluation of ecological half-life of dose rate based on airborne radiation monitoring following the Fukushima Dai-ichi nuclear power plant accident. Journal of Environmental Radioactivity, 192, 417–425.
  7. Grjadunov, D. A., Mitrofanov, E. V., Bubnenkov, D. I. (2012). O primenenii kompleksov bespilotnyh letatel'nyh apparatov v sisteme mnogourovnevogo

jekologicheskogo monitoringa // Vestnik Moskovskogo gosudarstvennogo oblastnogo

universiteta. Serija: Estestvennye nauki, 4, 95–99.

  1. Tomas, L., Petr, G., Tomas, J., Ludek Z. (2018). Cooperation between an unmanned aerial vehicle and an unmanned ground vehicle in highly accurate localization

of gamma radiation hotspots. International Journal of Advanced Robotic Systems, 15, 1. doi: org/10.1177/1729881417750787

  1. Kim, Nam Ho. (2018). Development of atmospheric environment information collection system using drone. Smart Media Journal, 7, 4, 44–51.
  2. Environmental Monitoring Using a Drone-Enabled Wireless Sensor Network. Brooke Potter, Gina Valentino, Laura Yates, Thomas Benzing, Ahmad Salman. Published in: 2019 Systems and Information Engineering Design Symposium (SIEDS) doi:10.1109/SIEDS.2019.8735615
  3. Di, Wu., Ruopu, Li., Feiyang, Z. (2019). A review on drone-based harmful algae blooms monitoring. ENVIRONMENTAL MONITORING AND ASSESSMENT.
  4. Application of a Telescoping Microextraction Needle Trap Sampling Device on a Drone to Extract Airborne Organic Vapors. (2019). Wen-Hsi Cheng, Tso-Sheng Hsieh, Chun-Mou Chu, Chia-Chin Chiang, Chung-Shin Yuan. AEROSOL AND AIR QUALITY RESEARCH, 19, 7.
  5. Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District. (2018). Robert Jackisch, Sandra Lorenz, Robert Zimmermann, Robert Möckel, Richard Gloaguen. REMOTE SENS, 10(3), 385. doi:10.3390/rs10030385
  6. An Innovative Air Quality Monitoring System based on Drone and IoT Enabling Technologies. Leopoldo Angrisani, V. Martire, M. Marvaso, R. Peirce Published in: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry.
  7. Aquatic environment monitoring using a drone based fuorosensor. (2019). Zheng, D., Ying, Li., Jinlei, W., Guangyu, Z., Sune, S. APPLIED PHYSICS B, 125, 108. doi: org/10.1007/s00340-019-7215-y
  8. Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution. (2021). Hirokazu Madokoro, Osamu Kiguchi, Takeshi Nagayoshi, Takashi Chiba, Makoto Inoue, Shun Chiyonobu, Stephanie Nix, Hanwool Wo and Kazuhito Sato. SENSORS, 21(14), 4881. doi: 10.3390/s21144881
  9. Autonomous monitoring, analysis, and countering of air pollution using environmental drones. (2020). Godall Rohi, GodswillOfualagba, O'tegaEjofodomi. HELIYON, 6, 1. doi: 10.1016/j.heliyon.2020.e03252
  10. Kamaev, V. A., Stepanchenko, I. V. (2014). Dvuhurovnevaja struktura informacionnoj sistemy jekologicheskogo monitoringa atmosfernogo vozduha. Matematicheskie metody v tehnike i tehnologijah – MMTT–27: sb. tr. XXVII mezhdunar. nauch. konf. v 12 t., T. 7. Tambovskij gos. tehn. un–t, Saratovskij gos. tehn. un–t im. Gagarina Ju. A. Tambov, 62–65.
  11. Unmanned Aerial Systems for Monitoring Trace Tropospheric Gases. (2017). Travis J. Schuyler and Marcelo I. Guzman. ATMOSPHERE, 8(10), 206. doi:10.3390/atmos8100206
  12. Assessing 3-D Spatial Extent of Near-Road Air Pollution around a Signalized Intersection Using Drone Monitoring and WRF-CFD Modeling. (2020). Seung-Hyeop Lee and Kyung-Hwan Kwak. Int. J. Environ. Res. Public Health, 17(18), 6915. doi: 10.3390/ijerph17186915
  13. Environmental chemical sensing using small drones: A review. (2020). Javier Burgués, SantiagoMarco. SCIENCE OF THE TOTAL ENVIRONMENT, 748.
  14. Doronina, Ju. V., Rjabovaja, V. O. (2012). Povyshenie jeffektivnosti system jekologicheskogo monitoring. Vostochno-Evropejskij zhurnal peredovyh tehnologij, 4, 6 (58), 41–44.
  15. Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. (2018). Moritz Kirsch, Sandra Lorenz, Robert Zimmermann, Laura Tusa, Robert Möckel, Philip Hödl, René Booysen, Mahdi Khodadadzadeh and Richard Gloaguen. REMOTE SENS, 10(9), 1366. doi: 10.3390/rs10091366
  16. Abhijith, K. V., Gokhale, S. (2015). Passive control potentials of trees and onstreet parked cars in reduction of air pollution exposure in urban street canyons. Environmental Pollution, 204, 99–108.
  17. Saramud, M. V., Kovalev, I. V., Kovalev, D. I., Voroshilova, A. A., Kuztensov, A. S. (2018). Measurement accuracy of real time parameters in environmental monitoring / IOP Conference Series: Materials Science and Engineering, 450, 6.
  18. Joan-CristianPadró, Francisco-Javier Muñoz, Jordi Planas, Xavier Pons. (2019). Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms. International Journal of Applied Earth Observation and Geoinformation, 75, 130–140.
  19. Saramud, M. V., Kovalev, I. V., Losev, V. V., Kuznetsov, A. S., Kovalev, D. I., Ognerubov, S. S. (2018). A new approach to multi-version decision-making to improve the reliability of environmental monitoring parameters. IOP Conference Series: Materials Science and Engineering, 450, 6.