Abstract
The Republic of Azerbaijan's climate is changing, and the signs of shortcomings with the water resources are everywhere, and predominantly associated problems are getting increasingly severe. In turn, the synoptic weather systems leading to decreasing low precipitation levels due to climate change have aggravated the country's water scarcity in recent years, as all other environmental relational parts frequencies are meaningfully changing. Most frequently, the reduction in rainfalls persistently affects agriculture, infrastructure, the environment, and ecosystems in many ways. We do not yet know where, when, and how much water sources are lost from water reserves, for instance, the Caspian Sea storage.
Consequently, the country's vulnerable water resources must be carefully monitored in different ways and scales precisely and wisely. It seems that according to the possibilities of technologies, software, and expert forces, it is now time to take executive measures to solve this critical problem of the country comprehensively. Accordingly, multi-platform and multi-purpose monitoring systems are almost immediately required to construct a relevant applied-based nationwide wide-ranging water resources database. Major watersheds must be watchfully experimented with by employing advanced integrated and fused real, near real-time, and intelligent smart monitoring systems directed to advanced machine-deep-learning approaches.
Original language | English |
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Pages (from-to) | 530-535 |
Number of pages | 6 |
Journal | Reliability: Theory and Applications |
Volume | 19 |
Issue number | Special issue 6 |
DOIs | |
Publication status | Published - Dec 2024 |
Bibliographical note
Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- multi-purpose monitoring
- near-real monitoring
- real monitoring
- smart monitoring
- water resources