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Information and Analytical System Monitoring and Assessment of the Water Bodies State in the Mineral Resources Complex

Olga AfanasevaDepartment of Systems Analysis and Management, Saint Petersburg Mining University, House 2, 21st Line, 199106 Saint Petersburg, RussiaMikhail AfanasyevDepartment of Systems Analysis and Management, Admiral Makarov State University of Maritime and Inland, Dvinskaya St., 5/7, 198035 Saint Petersburg, RussiaSemyon NeyrusDepartment of Systems Analysis and Management, Saint Petersburg Mining University, House 2, 21st Line, 199106 Saint Petersburg, RussiaDmitry PervukhinDepartment of Systems Analysis and Management, Saint Petersburg Mining University, House 2, 21st Line, 199106 Saint Petersburg, RussiaD. L. TukeevDepartment of Systems Analysis and Management, Saint Petersburg Mining University, House 2, 21st Line, 199106 Saint Petersburg, Russia
2024en
ABI

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Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water basins and reducing the level of harmful industrial emissions and other pollutants in the aquatic environment. To guarantee the necessary quality of water resources, monitoring is conducted based on selected parameters using various methods and means of technical quality control. From these results, suitable measures are formulated and applied to maintain water quality. Various scientific works extensively discuss different approaches to water quality management and compliance with specified requirements. Modern strategies for developing water monitoring systems leverage the capabilities of information systems that collect, process, store, and transmit information, enabling the resolution of issues in geographically distributed water bodies in real time. This paper proposes an approach that employs mathematical methods to identify the most significant factors determining water quality and to assess their interrelations using methods of a priori ranking, multivariate correlation regression analysis, and integral quantitative assessment. A hardware and software solution for the development of a unified integrated information and analytical system is proposed. This system enables continuous monitoring and assessment of water bodies based on a set of key parameters, addressing a range of critical tasks. This paper provides a detailed description of the software product, presents a demonstration using real-world data, and discusses the anticipated benefits of implementing such an information and analytical system.

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