Forecasting Flood Parameters Required for Planning Measures to Protect the Population and Territories
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Byaruhanga, N., Kibirige, D., Gokool, S., & Mkhonta, G. (2024). Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review. Water, 16(13), 1763. https://doi.org/10.3390/w16131763.
de Sousa, M. M., de Oliveira, A. K. B., Rezende, O. M., de Magalhães, P. M. C., Pitzer Jacob, A. C., de Magalhães, P. C., & Miguez, M. G. (2022). Highlighting the role of the model user and physical interpretation in urban flooding simulation. Journal of Hydroinformatics, 24(5), 976-991. https://doi.org/10.2166/hydro.2022.174.
Estelaji, F., Aghajari, A. A., & Zahedi, R., 2023. Flood zoning and developing strategies to increase resilience against floods with a crisis management approach. Asian Review of Environmental and Earth Sciences, 10(1), 14-27. https://doi.org/10.20448/arees.v10i1.4439.
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. Ecological Engineering & Environmental Technology. https://doi.org/10.12912/27197050/156971.
Havrys, A., Yakovchuk, R., Pekarska, O., Tur, N. (2024). Use of the computer modelling for the analysis of dangerous areas during flooding of territories. Ecological Engineering & Environmental Technology, 25(4). DOI: https://doi.org/10.12912/27197050/184265.
Kobylkin, D., Нavrys A., Rogulia, A., Sodoma, R., Pavuk, I., Avdieyeva, K., & Filippova, V. (2025). Safety-oriented management of protection projects of critical infrastructure objects. Management Theory and Studies for Rural Business and Infrastructure Development, 47(4), 537–548. https://doi.org/10.15544/mts.2025.42.
Kolen, B., & Van Gelder, P. H. A. J. M., 2018. Risk-based decision-making for evacuation in case of imminent threat of flooding. Water, 10(10), 1429. https://doi.org/10.3390/w10101429.
Kotsiuruba, V., Mykhailovskyi, D., Cherevko, R., Кamalov, Y., & Proshchyn, I. (2023). Simulation of flood inflammation due to destruction of hydrotechnical structures. Strength of Materials and Theory of Structures, (111), 87-101. https://doi.org/10.32347/2410-2547.2023.111.87-101.
Li, W., Liu, C., Xu, Y., Niu, C., Li, R., Li, M., ... & Tian, L. (2024). An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM. Journal of Hydrology: Regional Studies, 54, 101873. https://doi.org/10.1016/j.ejrh.2024.101873.
Li, Z., Zhang, X., Ma, Y., Feng, C., & Hajiyev, A., 2019. A multi-criteria decision making method for urban flood resilience evaluation with hybrid uncertainties. International Journal of Disaster Risk Reduction, 36, 101140. https://doi.org/10.1016/j.ijdrr.2019.101140.
Rajab, A., Farman, H., Islam, N., Syed, D., Elmagzoub, M. A., Shaikh, A., Akram, M., & Alrizq, M. (2023). Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh. Water, 15(22), 3970. https://doi.org/10.3390/w15223970.
Rehman, J., Sohaib, O., Asif, M., & Pradhan, B., 2019. Applying systems thinking to flood disaster management for a sustainable development. International journal of disaster risk reduction, 36, 101101. https://doi.org/10.1016/j.ijdrr.2019.101101.
Senthilkumar, P., & Arthur, M. P. (2023). A review of intelligent models for mapping city development and urban flooding. Land Degradation & Development, 34(13), 3793-3809. https://doi.org/10.1002/ldr.4742.
Shen, Y., & Jiang, C. (2023). A comprehensive review of watershed flood simulation model. Natural Hazards, 118(2), 875-902. https://doi.org/10.1007/s11069-023-06047-1.
Tian, D., Liu, H., Chen, S., Li, M., & Liu, C. (2022). Human error analysis for hydraulic engineering: Comprehensive system to reveal accident evolution process with text knowledge. Journal of construction engineering and management, 148(9), 04022093. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002366.
Zheng, X., Liu, Y., & Shao, B. (2023). Causal Analysis of Fall Accidents in Hydraulic Engineering Based on Text Mining and Decision-Making Trial and Evaluation Laboratory and Interpretative Structural Modeling. Water, 15(21), 3810. https://doi.org/10.3390/w15213810.
Havrys, A.P., Pekarska, O.O., Veselivskyi, R.B. (2025). Concept and Methodology for Developing Flood Prevention and Response Plans for Local Communities in Ukraine. (2025). Municipal Services. Series: “Information Technology and Engineering,” 6(194), 370–384. https://doi.org/10.33042/3083-6727-2025-6-194-370-384.
Havrys, A. and Filippova, V. (2025). Comprehensive Ranking of Ukraine’s Energy and Hydraulic Structures by Safety Level. Ukraine’s Air Power. 2, 9 (Feb. 2026), 96–107. DOI: https://doi.org/10.33099/2786-7714-2025-2-9-96-107.
Kotsyuruba, V., & Proshchin, I. (2024). An improved methodology for determining the parameters of breach wave propagation and flooding during the destruction of hydraulic structures. Modern Information Technologies in Security and Defense, 49(1), 69–76. https://doi.org/10.33099/2311-7249/2024-49-1-69-76.
Starodub, Yu. P., & Havrys, A. P. (2015). Initiating projects to improve territorial safety through mathematical flood modeling. Collection of scientific papers “Bulletin of Lviv State University of Life Safety,” Lviv, 2015, No. 11, 96–100.
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