Information technologies and computer sciences

Automation of the Use of Natural Language Queries for Comprehensive Analysis of the State of Surface Waters in the Southern Bug River Basin

Authors

Ye. M. Kryzhanovskyi
Vinnytsia National Technical University ROR
V. O. Karavaev
Vinnytsia National Technical University ROR
I. M. Shtelmakh
Vinnytsia National Technical University ROR
O. O. Voitsekhovska
Vinnytsia National Technical University ROR
DOI https://doi.org/10.31649/1997-9266-2025-181-4-118-125

Keywords

geographic information systems water monitoring large language models adaptive parsing data analysis

Abstract

The article considers a modern approach to a comprehensive analysis of the state of surface waters in the Southern Bug River basin by integrating digital technologies necessary for the automation of natural language queries. The basis of the proposed approach is the synergy of geographic information systems (GIS), intelligent data processing tools, adaptive parsing of large arrays of monitoring information and artificial intelligence algorithms - in particular, large language models. Considerable attention is paid to the automation of the processes of collection, pre-processing, structuring and visualization of environmental data, which ensures high-quality preparation of the information environment for making management decisions. The developed approach allows for a spatio-temporal analysis of the state of water resources, identification of key pollution trends and a comprehensive analysis of the state of surface waters in the Southern Bug basin by using natural language queries. The approach was tested within the framework of the implementation of a web system on real data for monitoring the state of surface waters of the Southern Bug basin and the successful testing of this system in the direction of correct processing of natural language queries.

The use of large language models for the analysis of the state of surface waters significantly simplifies the process of forming various environmental reports, quality classifications and solving other applied problems of analyzing data on the state of surface waters monitoring.

The results obtained emphasize the feasibility of creating flexible information systems for monitoring the state of surface waters, which combine the capabilities of spatial analysis, natural language processing and machine learning. This allows for making informed management decisions and promptly responding to changes in the environmental state. The proposed approach can be adapted to other water basins or sub-basins, opening up new opportunities for sustainable management of natural resources.

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How to Cite

[1]
“Automation of the Use of Natural Language Queries for Comprehensive Analysis of the State of Surface Waters in the Southern Bug River Basin”, Вісник ВПІ, no. 4, pp. 118–125, Aug. 2025, doi: 10.31649/1997-9266-2025-181-4-118-125.

Author Biographies

Ye. M. Kryzhanovskyi, Vinnytsia National Technical University

Cand. Sc. (Eng.), Associate Professor, Associate Professor of the Chair of System Analysis and Information Technologies

V. O. Karavaev, Vinnytsia National Technical University

Student of the Department of Intelligent Information Technologies and Automation

I. M. Shtelmakh, Vinnytsia National Technical University

Cand. Sc. (Eng.), Assistant of the Chair of System Analysis and Information Technologies

O. O. Voitsekhovska, Vinnytsia National Technical University

PhD, Senior Lecturer of the Chair of System Analysis and Information Technologies

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