INTELLECTUAL PROCESSING OF HYDROGEOLOGICAL DATA (USING THE EXAMPLE OF GROUNDWATER)

Authors

  • Z.B. Dadajonova Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, city of Tashkent, Republic of Uzbekistan.
  • B.D. Abdullaev State institution "Institute of Hydrogeology and Engineering Geology", city of Tashkent, Republic of Uzbekistan
  • Kh.N. Zaynidinov Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, city of Tashkent, Republic of Uzbekistan.
  • B.B. Akbaraliev Andijan State University of the Republic of Uzbekistan, city of Andijan, Republic of Uzbekistan.
  • Nasibov B,R National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers"

Keywords:

Data Mining, integration, interpretation, Garbage In Garbage Out, data cleaning, Intelligent data analysis system, Intelligent data analysis, hydrogeological map, groundwater deposits, formation of optimal information systems.

Abstract

This comprehensive article delves into the development of an automated information reference hydrogeochemical data bank through the systematization and typification of hydrogeological data using intelligent processing methods and algorithms. It scrutinizes various methods of intelligent analysis of hydrogeological data, emphasizing the importance of understanding general patterns in groundwater chemical composition and predicting changes influenced by anthropogenic factors. The study also focuses on enhancing data presentation to reflect the hydrogeochemical landscape of Uzbekistan. By utilizing data mining techniques and mathematical algorithms, the research aims to delineate geological bodies based on groundwater properties and contamination levels. The article highlights the significance of visualizing results and utilizing data mining tools for decision-making processes. The application of Fisher-type criteria and proximity functions in data analysis further enhances the study's depth and accuracy.

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Published

2024-09-10

How to Cite

Z.B. Dadajonova, B.D. Abdullaev, Kh.N. Zaynidinov, B.B. Akbaraliev, & Nasibov B,R. (2024). INTELLECTUAL PROCESSING OF HYDROGEOLOGICAL DATA (USING THE EXAMPLE OF GROUNDWATER). British Journal of Global Ecology and Sustainable Development, 32, 21–29. Retrieved from https://journalzone.org/index.php/bjgesd/article/view/616

Issue

Vol. 32 (2024)

Section

Articles

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