Proceedings of the International scientific and practical conference ―Science, Technology and Culture in the Era of Globalization‖ (December 24-26, 2025) / Publisher website: www.naukainfo.com. – Geneva, Switzerland, 2026. – 234 p.

49 The methodology involves forming an initial network of monitoring points, constructing a representation of water level distribution based on these points, and refining the network to ensure accurate coverage of the entire area [4,10]. This approach allows authorities to anticipate the progression of floods, implement early warning strategies, and deploy mobile monitoring posts adaptively to areas of highest risk [3,5]. The proposed model ensures that the distribution of monitoring posts is rational, cost-effective, and capable of timely flood detection [4,8]. By combining stationary and mobile posts and constructing a reliable representation of water level rise, emergency services can optimize their resources and improve response efficiency [1,2,5]. In conclusion, this study presents a comprehensive framework for the rational placement of monitoring posts for flood detection. It provides a method for planning monitoring networks, constructing water level surfaces, and optimizing resource allocation [3,4]. Future work will focus on incorporating real-time data and predictive models to further enhance early warning capabilities and disaster response effectiveness [7, 10]. REFERENCES: 1. Kundzewicz Z.W., Kanae S., Seneviratne S.I., Handmer J., Nicholls N., Peduzzi P., et al. Flood risk and climate change: global and regional perspectives. Hydrological Sciences Journal, 2014, 59(1), 1–28. 2. Jongman B., Ward P.J., Aerts J.C.J.H. Global exposure to river and coastal flooding: long term trends and changes. Global Environmental Change, 2012, 22(4), 823–835. 3. Merz B., Thieken A.H., Kreibich H., Blöschl G. Flood risk mapping at the local scale: concepts, methods, and challenges. Water Science and Technology, 2007, 56(4), 29–36.