Predicting the Consequences of an Emergency at a Railway Station
DOI:
https://doi.org/10.15802/stp2024/312923Keywords:
numerical modeling, flying debris, thermal contamination, chemical contaminationAbstract
Purpose. The paper considers the problem of determining the size of the damage zones in the event of an emergency at a railway station due to a tanker fire. The task of forecasting is to determine the zones of thermal pollution, as well as chemical and mechanical pollution. The main objective of the study is to create numerical models for calculating the zones of mechanical and thermal pollution in the event of a fire at a railway station. Methodology. To analyze the size and intensity of zones of thermal, chemical, and mechanical environmental pollution in the event of an extreme situation at a railway station, we used the equations of heat and mass transfer and Newton's second law for modeling mechanical environmental pollution. To solve the equations, numerical methods such as Euler's method and finite difference schemes were used. On the basis of the developed numerical models, a computer code was created to conduct a computational experiment. Findings. Modern computer models for assessing the zones of chemical, thermal, and mechanical pollution in the event of an extreme situation have been developed. The results of computer modeling are presented. Originality. A set of numerical models for computer simulation of heat and mass transfer processes and dynamics of point motion has been created, which allows conducting a computational experiment to determine the contamination zones during a fire at a railway station. Practical value. A computer code was developed on the basis of the created mathematical models. This code is a tool for solving important problems in the field of environmental safety and civil protection. The computer code makes it possible to quickly determine the intensity and size of environmental pollution zones in the event of an extreme situation.
References
Biliaiev, M. M., Biliaieva, V. V., Berlov, O. V. & Kozachyna, V. A. (2022). CFD-modeliuvannia v analizi efektyvnosti system zakhystu dovkillia ta pratsivnykiv na robochykh mistsiakh: monografiya. Dnipro: Zhurfond. (in Ukrainian)
Zgurovskii, M. Z., Skopetskii, V. V., Khrutch, V. K. & Biliaiev, M. M. (1997). Chyslennoe modelyrovanye rasprostranenyia zahriaznenyia v okruzhaiushchei srede. Кyiv: Naukova dumka. (in Russian)
Samarskiy, A. A. (1983). Teoriya raznostnykh skhem. Moscow: Nauka. (in Russian)
Abbaslou, H., & Karimi, A. (2019). Modeling of Ammonia Emission in the Petrochemical Industry. Jundishapur Journal of Health Sciences, 11(3), 1-7. DOI: https://doi.org/10.5812/jjhs.94101 (in English)
Biliaiev, M., Rusakova, T., Dziuba, S., Lapshin, Ye. & Koval, N. (2023) Assessment of Radioactive Contamination Level of Environment in Case of Accident at Nuclear Power Plant. In IOP Conference. Series: Earth and Environmental Science (Vol. 1156, Iss. 1, pp 1-7). DOI: https://doi.org/10.4103/2045-9912.310056 (in English)
Khorram, R. (2020). Modeling the consequences release of cyanogen agents in bushehr nuclear power plant neighborhood using PHAST, ALOHA and WISER software. Iran Occupational Health, 17(4), 1-13. (in English)
Liu, Y., & Wang, J. (2022). Numerical Simulation Analysis of Fire Hazard from Leakage and Diffusion of Vinyl Chloride in Different Atmospheric Environments. Fire, 5(2), 1-12. DOI: https://doi.org/10.3390/fire5020036 (in English)
Sharifi, S. R., & Razavian, F. (2020). Hazard Identification and Consequences Analysis of Possible Accidents in the Tank Farm & Flare of the ILAM Gas Refinery by ETBA and PHAST Soft wear. Journal of Environmental Sciences and Technology, 22(8), 309-322. (in English)
Ustolin, F., Tolias, I. C., Giannissi, S. G., Venetsanos, A. G., & Paltrinieri, N. (2022). A CFD analysis of liquefied gas vessel explosions. Process Safety and Environmental Protection, 159, 61-75. DOI: https://doi.org/10.1016/j.psep.2021.12.048 (in English)
Yarandi, M. S., Mahdinia, M., Barazandeh, J., & Soltanzadeh, A. (2021). Evaluation of the toxic effects of ammonia dispersion. Medical Gas Research, 11(1), 24-29. DOI: https://doi.org/10.4103/2045-9912.310056 (in English)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Science and Transport Progress
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licensing
This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.
The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.