1. LSULS Digital Repository
2. Навчально-наукові підрозділи / Academic and Research Units
3. Кафедра цивільного захисту
4. Пекарська Олександра Олексіївна
5. 2024

Title:	Use of the Computer Modelling for the Analysis of Dangerous Areas during Flooding of Territories
Authors:	Andrii, Нavrys Roman, Yakovchuk Pekarska, Pekarska Nazarii, Tur
Keywords:	civil protection sustainable development data visualization catchment basins ArcGIS software
Issue Date:	2024
Citation:	1. ArcGIS Resources. 2012. ArcGIS Help 10.1. Available at: http://resources.arcgis.com/en/help/main/10.1/ index.html#/ [Accessed 14 November 2023]. 2. Baratian, A., Kashani, H. 2022. Probabilistic framework to quantify the seismic resilience of natural gas distribution networks. International Journal of Disaster Risk Reduction, 81, 103282. https://doi.org/10.1016/j.ijdrr.2022.103282. 3. Bonafilia, D., Tellman, B., Anderson, T., Issenberg, E., 2020. Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 210-211. 4. Chen, C., Jiang, J., Zhou, Y., Lv, N., Liang, X., Wan, S., 2022. An edge intelligence empowered flooding process prediction using Internet of things in smart city. Journal of Parallel and Distributed Computing, 165, 66-78. https://doi.org/10.1016/j. jpdc.2022.03.010. 5. Dankevich, V.E., Prokopchuk, O., Usyuk, T.V. 2020. Participatory management of local security of territorial communities: EU experience and practice. Problems of economics, 4, 35-41. https://doi.org/10.32983/2222-0712-2020-4-35-41. 6. Dudek, M., Tajduś, K., Misa, R., Sroka, A. 2020. Predicting of land surface uplift caused by the flooding of underground coal mines – A case study. International Journal of Rock Mechanics and Mining Sciences, 132, 104377. https://doi.org/10.1016/j. ijrmms.2020.104377. 7. Dudek, M., Tajduś, K. 2021. FEM for prediction of surface deformations induced by flooding of steeply inclined mining seams. Geomechanics for Energy and the Environment, 28, 100254. https:// doi.org/10.1016/j.gete.2021.100254. 8. Fedorchak, V.V. 2018a. Mechanisms of state management of emergency risks in Ukraine. National University of Civil Protection of Ukraine. Kharkiv, 429. 9. Fedorchak, V.V. 2018b. Analysis and evaluation of the peculiarities of the functioning of the organizational mechanism of state management of the risks of emergency situations in Ukraine. Investments: practice and experience, 6, 49-51. 10. Havrys, A., Yakovchuk, R., Pekarska, O., Tur, N. 2023. Visualization of fire in space and time on the basis of the method of spatial location of fire-dangerous areas. https://doi.org/10.12912/27197050/156971. 11. Ivanova, T.V. 2020. Mechanisms of state management of man-made and natural emergencies. Scientific Notes, 2202086, 86-89. https://doi. org/10.32838/2663-6468/2020.2/14. 12. Kharazi, B.A., Behzadan, A.H. 2021. Flood depth mapping in street photos with image processing and deep neural networks. Computers, Environment and Urban Systems, 88, 101628. https://doi. org/10.1016/j.compenvurbsys.2021.101628. 13. Kinaneva, D., Hristov, G., Raychev, J., Zahariev, P. 2019. Early forest fire detection using drones and artificial intelligence. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) IEEE, 1060-1065. https://doi. org/10.23919/MIPRO.2019.8756696. 14. Kuleshov, M., Yashchenko, O. 2022. Actual issues of implementation of civil protection tasks in the conditions of modern challenges and threats. https:// doi.org/10.52363/2414-5866-2022-2-34. 15. Law of Ukraine “On Local Self-Government in Ukraine” dated August 3, 2023. 16. Lei, X., Chen, W., Panahi, M., Falah, F., Rahmati, O., Uuemaa, E., Bian, H. 2021. Urban flood modeling using deep-learning approaches in Seoul, South Korea. Journal of Hydrology, 601, 126684. https:// doi.org/10.1016/j.jhydrol.2021.126684. 17. Official website of the EarthExplorer. Available at: http://earthexplorer.usgs.gov [Accessed 14 November 2023].18. Official website of the National Intelligence Council – Global Trends. Available at: www.dni.gov/ [Accessed 14 November 2023]. 19. Official website of the State Emergency Service of Ukraine. Available at: https://dsns.gov.ua/uk/operational-information [Accessed 14 November 2023]. 20. Official website of the Verkhovna Rada of Ukraine. Available at: https://zakon.rada.gov.ua/laws/ show/722/2019#Text[Accessed 14 November 2023]. 21. Qi, W., Ma, C., Xu, H., Chen, Z., Zhao, K., Han, H. 2021. A review on applications of urban flood models in flood mitigation strategies. Natural Hazards, 108, 31-62. https://doi.org/10.1007/s11069-021-04715-8. 22. Resolution of the Verkhovna Rada of Ukraine “On the Formation and Liquidation of Districts” dated July 17, 2020. 23. Rohulia, A.O. 2018. Implementation of state policy in the field of life safety at the level of territorial communities. State administration and local selfgovernment, 3, 157-163. 24.Rohulia, A.O. 2021. Analysis of the effectiveness of the activities of local self-government bodies in the organization of the safety of life activities of territorial communities based on econometric modeling. Scientific Bulletin: State Administration, 1(7), 242-267. https://doi. org/10.32689/2618-0065-2021-1(7)-242-267. 25. Sharif, S.V., Moshfegh, P.H., Kashani, H. 2023. Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery. Reliability Engineering & System Safety, 235, 109219. https://doi.org/10.1016/j.ress.2023.109219. 26. Starodub, Y., Havrys, A. 2018. Conceptual model of portfolio management project for territories protection against flooding. MATEC Web of Conferences 247, 00019. https://doi.org/10.1051/ matecconf/201824700019. 27. Starodub, Y., Karabyn, V., Havrys, A., Kovalchuk, V., Rogulia, A., Yemelyanenko, S. 2022. Geophysical research in the pre-Carpathian hydrosphere situation for the environmental civil protection purposes. Geofizicheskiy Zhurnal, 44(4), 171–182. https:// doi.org/10.24028/gj.v44i4.264847 28. Starodub, Y., Karabyn, V., Havrys, A., Shainogal, I., Samberg, A. 2018. Flood risk assessment of Chervonograd mining-industrial district. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XX. SPIE, 10783, 169-173. https://doi. org/10.1117/12.2501928. 29. Zahidna, O., Zakorko, K., 2022. Functioning of the united territorial communities under the conditions of the state of martial. Taurian Scientific Bulletin. Series: Economics, (14), 78-84. https://doi. org/10.32782/2708-0366/2022.14.10.
URI:	https://sci.ldubgd.edu.ua/jspui/handle/123456789/14176
Appears in Collections:	2024

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