Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/11463
Title: Software-based method of determining the necessary population evacuation zone in case of a chemical accident
Other Titles: Метод визначення необхідної зони евакуації населення у випадку хімічної аварії за допомогою програмних засобів
Authors: Havrys, Andrii
Khlevnoi, Oleksandr
Keywords: civil protection
evacuation plan
Issue Date: 2022
Citation: 1. Official UN website. Access – https://www.un.org/en. 2. Official site of the Insurance Fund of Documentation of Ukraine. Access – https://sfd.archives.gov.ua/. 3. Lovreglio, R., Ronchi, E., & Nilsson, D. (2015). A model of the decision-making process during pre-evacuation. Fire Safety Journal, 78, 168-179. 4. Pan, X., Han, C. S., Dauber, K., & Law, K. H. (2006). Human and social behavior in computational modeling and analysis of egress. Automation in construction, 15(4), 448-461. 5. Reneke, P. A., (2013). Evacuation decision model. US Department of Commerce, National Institute of Standards and Technology. 6. Ronchi, E., Kuligowski, E. D., Nilsson, D., Peacock, R. D., & Reneke, P. A. (2016). Assessing the verification and validation of building fire evacuation models. Fire technology, 52(1), 197-219. 7. Gwynne, S., Galea, E. R., Owen, M., Lawrence, P. J., & Filippidis, L. (1999). A review of the methodologies used in evacuation modelling. Fire and materials, 23(6), 383-388. 8. Varas, A., Cornejo, M. D., Mainemer, D., Toledo, B., Rogan, J., Munoz, V., & Valdivia, J. A. (2007). Cellular automaton model for evacuation process with obstacles. Physica A: Statistical Mechanics and its Applications, 382(2), 631-642. 9. Alizadeh, R. (2011). A dynamic cellular automaton model for evacuation process with obstacles. Safety Science, 49(2), 315-323. 10. Starodub, Y., & Havrys, A. (2018). Conceptual model of portfolio management project for territories protection against flooding. In MATEC Web of Conferences (Vol. 247, p. 00019). EDP Sciences. 11. Starodub, Y., & Havrys, A. (2017). Applying the risk-height criteria for geospatial damage assessment of flooding territories of Ukraine. In TIEMS 2017 Annual Conference in Kyiv. 12. Pelechano, N., & Malkawi, A. (2008). Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches. Automation in construction, 17(4), 377-385. 13. Sherman, M. F., Peyrot, M., Magda, L. A., & Gershon, R. R. M. (2011). Modeling pre-evacuation delay by evacuees in World Trade Center Towers 1 and 2 on September 11, 2001: A revisit using regression analysis. Fire Safety Journal, 46(7), 414-424. 14. Ronchi, E., & Nilsson, D. (2014, February). Modelling total evacuation strategies for high-rise buildings. In Building Simulation (Vol. 7, No. 1, pp. 73-87). Springer Berlin Heidelberg. 15. Ivanusa, А. І., & Rak, Yu. P. (2013). Approaches to managing the project of safe evacuation of people in stadiums in emergency situations. Eastern-European Journal of Enterprise Technologies, 1(10), 145-147. 16. Official site of the Ukrainian Hydrometeorological Center. Access – https://meteo.gov.ua/ . 17. Starodub, Yu. P., Ursuliak, P. P., & Havrys, А. P. (2019). Information technologies of computer modeling of ecogeophysical processes.
Abstract: The article analyses the number of chemically hazardous objects in each region of Ukraine and gives the approximate number of hazardous chemicals on them. An example of the most massive accident with the release of chemicals in Ukrainian history (1991-2021) has been given; its causes and consequences have been revealed. It has been proved that the study of effective ways of the population evacuation planning and conducting in case of emergencies is an urgent task today. The analysis of scientific works in this direction has been carried out and the absence of a standard technique for population evacuation planning based on computer simulation of hazardous chemical substances release has been revealed. The purpose of the study is to create a methodology for determining the required evacuation zone on the basis of information technology, which will allow faster and more efficient decision-making and evacuation of the population from the accident zone. The authors have proposed a method for determining the required evacuation zone parameters based on the use of two existing software products: ALOHA and ArcGIS. ALOHA software allows calculating parameters of required evacuation zone around a chemically hazardous object depending on meteorological conditions, such as wind direction, humidity and ambient temperature. ArcGIS software superimposes obtained parameters with the administrative map of the territory on which, with the help of additional tools, residential and industrial buildings and structures falling into pollution bubble are selected. The end product of such modelling is a list of buildings (with addresses) that need evacuation which can be used by rescue services and the police during the rescue operations. The article gives an example of such modelling for one of the objects in Lviv.
URI: https://sci.ldubgd.edu.ua/jspui/handle/123456789/11463
Appears in Collections:2022

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