БАГАТОВИМІРНИЙ АНАЛІЗ РЕГІОНАЛЬНОГО УПРАВЛІННЯ ВОДНИМИ РЕСУРСАМИ: КОМПЛЕКСНИЙ ПІДХІД

Introduction. Water resources are of critical importance for the sustainable development of the Zhytomyr region.The region possesses considerable hydrological potential, including 53 reservoirs (76,000 ha) and 2,075 ponds(123,000 ha). Surface water accounts for 77% of the total supply, while groundw...

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Datum:2025
Hauptverfasser: KIREITSEVA, H., KHRUTBA, V., PRONINA, O., LEVITSKA, T., TSYHANENKO-DZIUBENKO, I., KHOMENKO, S.
Format: Artikel
Sprache:English
Veröffentlicht: PH “Akademperiodyka” 2025
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Online Zugang:https://scinn-eng.org.ua/ojs/index.php/ni/article/view/877
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Назва журналу:Science and Innovation

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Science and Innovation
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Zusammenfassung:Introduction. Water resources are of critical importance for the sustainable development of the Zhytomyr region.The region possesses considerable hydrological potential, including 53 reservoirs (76,000 ha) and 2,075 ponds(123,000 ha). Surface water accounts for 77% of the total supply, while groundwater comprises the remaining 23%.Problem Statement. Effective water resource management in the region has been increasingly challenged byrising demand, environmental pollution, unregulated exploitation, and climate change. Conventional planningapproaches often fail to account for the complex interdependencies among various infl uencing factors. Therefore, the development of a comprehensive methodology capable of revealing hidden correlations and supporting strategic decision-making is both timely and necessary.Purpose. This study aims to develop an integrated framework for analyzing water use in the Zhytomyr regionby combining SWOT analysis with correlation and cluster analysis, thereby enhancing the effectiveness of strategic planning processes.Materials and Methods. A multidimensional methodology has been employed, incorporating SWOT analysis, Pearson correlation analysis, and cluster analysis using the k-means algorithm. Data processing and visualization have been conducted using the Orange data mining platform.Results. The SWOT analysis has identified key influencing factors. The correlation analysis has revealed statistically signifi cant interrelationships among variables, highlighting the systemic nature of regional water challenges. The analysis has classified the variables into the five key groups: (1) infrastructure and technology, (2) environmental factors, (3) management and cooperation, (4) pollution-related issues, and (5) water quality and financing. Conclusions. The integrated analytical approach has provided a holistic understanding of regional water use and uncovered complex interactions among system components. The results emphasize the necessity of adopting a systems-oriented strategy for water resource management. Based on the findings, the study offers targeted recommendations for priority investment, including infrastructure modernization, enhancement of monitoring systems, and deployment of innovation technologies.