DESIGNING A DATABASE FOR AN INFORMATION-ANALYTICAL PLATFORM IN THE FIELD OF MONITORING THE STATE OF THE YERTIS RIVER BASIN

Abstract

Modern methods of monitoring water bodies require the integration of data from various sources to ensure accurate and timely analysis of their condition. With the increasing anthropogenic impact on water resources, the creation of effective systems for managing and monitoring the ecological state of water bodies becomes a pressing issue. Information-analytical platforms play a crucial role in collecting, storing, and analyzing data, providing tools for visualization and decision-making. These platforms, supported by reliable databases, significantly enhance the accuracy and efficiency of monitoring. The aim of the study is to design an efficient and reliable database for an information-analytical platform intended for monitoring the state of water bodies. The research methods include the analysis and integration of data from various sources, such as laboratory analyses, field measurements, historical and archival data, as well as remote sensing methods, including satellite images and aerial photography. The research results include the development of a conceptual database model, the identification of key informational entities, and the definition of their attributes. The database ensures centralized data storage, their structuring, and easy access for analysis, which allows automating the monitoring process and improves the accuracy and efficiency of obtaining data on the state of water bodies. The practical and theoretical significance of the results lies in improving the efficiency of water resource management, providing convenient tools for data analysis and visualization, as well as creating a reliable tool for further monitoring and analysis of the ecological state of the Yertis river.