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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17558355 |
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Table of Contents:
- <p><span lang="EN-US">At present, the core challenges in the fields of geology, hydrogeology, engineering geology, irrigation and land reclamation, ecology, and environmental monitoring center around obtaining objective data about the environment and ensuring its accurate and timely processing. In the study of the Earth's surface layer, particularly the component referred to as the hydrosphere, the integration of advanced computer networks, big data technologies, neural networks, and artificial intelligence methods-including models, algorithms, and software tools-plays a pivotal role. This is especially critical for extensive urban agglomerations characterized by high population density and encompassing major groundwater drinking resources, mineral reserves, primary irrigation and reclamation water systems, as well as large-scale industrial and hydrotechnical complexes. In recent years, there has been a growing interest in the theoretical and scientific foundations for the development of information-analytical systems and methods in these disciplines. This trend is driven, on the one hand, by the reduction of ground-based observation network nodes in hydrogeology, engineering geology, ecology, and environmental monitoring, and on the other hand, by the rapid advancement and increasing application of information and communication technologies and software solutions in these areas.</span></p>