M. Kustov, А. Melnichenko. Experimental verification of the hazardous gas distribution model. P. 48-62.

 

Experimental verification of the hazardous gas distribution model

 

Maksim Kustov

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-6960-6399

 

Andrii Melnychenko

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-7229-6926

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-4

 

Keywords: gas sorption, experimental chamber, dispersed flow, concentration distribution, deposition intensity, model adequacy, Fisher's test

 

Аnnotation

An experimental verification of the adequacy of the theoretical model of the distribution of hazardous gases in the air stream during its intensive deposition by dispersed jets is carried out. Comparative analysis of the results of the experiments is embedded in the confidence interval calculated by Fisher's test with a reliability of 0,95. This testifies to the reliability of previously developed mathematical models of sorption of hazardous gases. The results of experiments confirmed the high intensity of sorption of ammonia by water flow and showed that the use of water curtains can significantly reduce the size of atmospheric damage by hazardous gases. To conduct reliable experimental research and model the conditions of deposition of hazardous gases in the path of air flow, an experimental chamber for the study of sorption processes was developed and created. The developed experimental chamber and research methods provide for safety when working with hazardous gaseous substances. The design of the chamber body in the form of an elongated cylinder with a network of gas analyzers allows you to measure the dynamics of the spatial distribution of gases at different flow intensities. The method of the experiment involves three main variable parameters – air flow rate, intensity and dispersion of liquid flow and additional variable parameters determined by the physicochemical nature of sorption processes – ambient temperature and pressure, chemical composition of the liquid. The use of the developed experimental chamber in research will allow to measure the intensity of sorption processes of gaseous substances by the flow of dispersed liquids, liquid mixtures and solutions. The efficiency of practical use of the method of forecasting the intensity of emergency response with the emission of hazardous gases was tested.

 

References

  1. Pshinko, O., Biliaiev, M. M., Gunko, O. Y. (2009). Localization of the air pollution zone in case of liquidation of an accident with chemically hazardous cargo. Science and Transport Progress, 27, 143–148. doi: 10.15802/stp2009/14261
  2. Kustov, M., Kalugin, V., Hristich, O., Hapon, Y. (2021). Recovery method for emergency situations with hazardous substances emission into the atmosphere. International Journal of Safety and Security Engineering, 11(4), 419–426. doi:18280/ijsse.110415
  3. Talhofer, V., Hošková-Mayerová, Š. (2019). Method of Selecting a Decontamination Site Deployment for Chemical Accident Consequences Elimination: Application of Multi-Criterial Analysis. ISPRS International Journal of Geo-Information, 8(4), 171. doi: 3390/ijgi8040171
  4. Tatarinov, V., Prus, U. V., Kirsanov, A. A. (2019). Decision support software for chemical accident elimination management. AIP Conference Proceedings, 2195, 020076. doi: 10.1063/1.5140176
  5. Martínez-García, M., Zhang, Y., Suzuki, K., Zhang, Y. D. (2021). Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Transactions on Industrial Informatics, 17(2), 839‑848. doi: 1109/TII.2020.3007152
  6. Khan, F., Rathnayaka, S., Ahmed, S. (2015). Methods and models in process safety and risk management: Past, present and future. Process Safety and Environmental Protection, 98, 116–147. doi: 1016/j.psep.2015.07.005
  7. Carol, S. (2009). WISER and REMM: Resources for Disaster Response. Journal of Electronic Resources in Medical Libraries, 6, 253‑259. doi: 1080/15424060903167393
  8. Polorecka, M., Kubas, J., Danihelka, P., Petrlova, K., Repkova Stofkova, K., Buganova, K. (2021). Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management. Sustainability, 13, 438‑453. doi: 10.3390/su13010438
  9. Leelossy, A., Molnar, F., Izsak, F., Havasi, A., Lagzi, I., Meszaros, R. (2014). Dispersion modeling of air pollutants in the atmosphere: a review. Central European Journal of Geosciences, 6, 257‑278. doi: 10.2478/s13533-012-0188-6
  10. Yan, X., Zhou, Y., Diao, H., Gu, H., Li, Y. (2020). Development of mathematical model for aerosol deposition under jet condition. Annals of Nuclear Energy, 142, 107394. doi: 10.1016/j.anucene.2020.107394
  11. Elperin, T., Fominykh, A., Krasovitov, B., Vikhansky, A. (2011). Effect of rain scavenging on altitudinal distribution of soluble gaseous pollutants in the atmosphere. Atmospheric Environment, 45(14), 2427–2433. doi: 10.1016/j.atmosenv.2011.02.008
  12. Kustov, M., Melnychenko, A., Taraduda, D., Korogodska, A. (2021). Research of the Chlorine Sorption Processes when its Deposition by Water Aerosol. In Materials Science Forum, 1038, 361‑373. doi: 10.4028/www.scientific.net/MSF.1038.361
  13. Gautam, S., Liu, T., Cole, D. (2019). Sorption, Structure and Dynamics of CO2and Ethane in Silicalite at High Pressure: A Combined Monte Carlo and Molecular Dynamics Simulation Study. Molecules, 24(1), 99. doi: 10.3390/molecules24010099
  14. Hua, A. K., Lakey, P. S., Shiraiwa, M. (2022). Multiphase Kinetic Multilayer Model Interfaces for Simulating Surface and Bulk Chemistry for Environmental and Atmospheric Chemistry Teaching. Journal of Chemical Education, 99(3), 1246‑1254. doi: 10.1021/acs.jchemed.1c00931
  15. Kustov, M., Basmanov, O., Tarasenko, O., Melnichenko, A. (2021). Predicting the extent of chemical damage under the conditions of deposition of hazardous substances. Scientific Journal Problems of Emergency Situations, 33, 72‑83. doi: 10.52363/2524-0226-2021-33-6
  16. Melnichenko, A., Kustov, M., Basmanov, O., Tarasenko, O., Bogatov, O., Kravtsov, M., Petrova, O., Pidpala, T., Karatieieva, O., Shevchuk, N. (2022). Devising a procedure to forecast the level of chemical damage to the atmosphere during active deposition of dangerous gases. Eastern-European Journal of Enterprise Technologies, 1(10(115)), 31–40. doi: 10.15587/1729-4061.2022.251675
  17. Bell, K. J. (2004). Heat Exchanger Design for the Process Industries. ASME. Journal Heat Transfer, 126(6), 877–885. doi: 10.1115/1.1833366
  18. Tang, L., Cao, F., Li, Y., Bao, J., Ren, Z. (2016). High performance mid-temperature selective absorber based on titanium oxides cermet deposited by direct current reactive sputtering of a single titanium target. Journal of Applied Physics, 119, 045102. doi: 10.1063/1.4940386
  19. Merentsov, N. A., Golovanchikov, A. B., Topilin, M. V., Persidskiy, A. V., Tezikov, D. A. (2019). Mass transfer apparatus for a wide range of environmental processes. IOP Publishing. Journal of Physics: Conference Series, 1399, 055028. doi: 1088/1742-6596/1399/5/055028
  20. Freeman, L., Ryan, F., Kensler, J., Dickinson, R., Vining, G. (2013). A Tutorial on the Planning of Experiments. Quality Engineering, 25(4), 315‑332. doi: 10.1080/08982112.2013.817013
  • You are here:  
  • Home
  • Archive
  • EN_cat
  • M. Kustov, А. Melnichenko. Experimental verification of the hazardous gas distribution model. P. 48-62.