Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/13382
Title: Use of the computer modelling for the analysis of dangerous areas during flooding of territories
Authors: Havrys, Andrii
Yakovchuk, Roman
Pekarska, Oleksandra
Tur, Nazarii
Keywords: civil protection
sustainable development
data visualization
catchment basins
ArcGIS software
Issue Date: 2024
Publisher: Ecological Engineering & Environmental Technology, 25(4). DOI: https://doi.org/10.12912/27197050/184265
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 (pp. 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 p. 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), pp. 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. P. 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) (pp. 1060-1065). IEEE. 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 self-government, (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 (2018) 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 (Vol. 10783, pp. 169-173). SPIE. 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), P. 78-84. https://doi.org/10.32782/2708-0366/2022.14.10.
Abstract: The main goal of the article is to develop a toolkit algorithm for the application of computer modelling in the analysis of hazardous areas during flooding using ArcGIS software for representatives of administrative-territorial authorities. The created toolkit algorithm can be utilized at the regional and local self-government levels for analysing potential negative consequences of flooding, followed by decision-making regarding the implementation of appropriate protective measures. The authors have developed a toolkit algorithm for the application of computer modelling to analyse hazardous areas during the flooding of territories using ArcGIS software, specifically designed for representatives of administrative-territorial authorities. This algorithm involves modelling the watershed basins of the area and identifying hazardous areas that may pose additional dangers or lead to a "domino effect" during the flooding of the studied territory. The authors have identified a list of hazardous areas that pose additional risks to the population's livelihood in the territory that may be affected by flooding. Additionally, the practical application of the proposed computer modelling algorithm has been examined using the example of the Drohobych district in the Lviv region, where frequent flooding has been observed in the past. The Drohobych district includes the territorial communities of Medenychi, Drohobych, Truskavets, Skhidnytsia, and Boryslav. In the region, there are two solid household waste landfills near the villages of Bronytsia and the city of Boryslav, which can be considered hazardous areas in the event of flooding. The greatest danger of consecutive contaminations due to flooding occurs in the area of the cities of Borislav and Truskavets. Water covers four cemeteries and comes dangerously close to the landfill as a result of flooded territories. The city of Drohobych is in a relatively safe zone; however, the water sources supplying the city are within the boundaries of the city of Truskavets, which also causes an additional danger to these and adjacent settlements. Subsequently, the developed toolkit algorithm can be utilized at the regional and community levels for analysing potential negative consequences of flooding, followed by decision-making regarding the implementation of appropriate engineering protection measures in specific areas.
URI: https://sci.ldubgd.edu.ua/jspui/handle/123456789/13382
Appears in Collections:2024

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