Groundwater in arid and semi-arid areas : monitoring, assessment, modelling, and management / Shakir Ali, Asaad Mater Armanuos, editors.
This book provides comprehensive studies from Middle East, African countries and Asia including Afghanistan, Algeria, Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on groundwater management, modelling and monitoring. A broad approach such as modelling, artificial intelligence, machine learning,...
I tiakina i:
| Ētahi atu kaituhi: | , |
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| Hōputu: | iPukapuka |
| Reo: | English |
| I whakaputaina: |
Cham :
Springer,
2023.
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| Rangatū: | Earth and Environmental Sciences Library
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| Ngā marau: | |
| Urunga tuihono: | Springer eBooks |
| Whakarāpopototanga: | This book provides comprehensive studies from Middle East, African countries and Asia including Afghanistan, Algeria, Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on groundwater management, modelling and monitoring. A broad approach such as modelling, artificial intelligence, machine learning, and statistical models was applied in arid and semi-arid areas for management of the groundwater. These new approaches are currently in high demand. The book delves into the applications of these methods and will be a potential asset to the researchers worldwide. The book is a timely publication containing chapters based on primary data or/and extensive review chapters comprising new emerging techniques. Current high-demand research on management through the application of modelling, artificial intelligence and machine learning is the main selling point of this book. |
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| Whakaahuatanga ōkiko: | 1 online resource (viii, 368 pages) : illustrations. |
| ISBN: | 9783031433481 3031433483 |
| ISSN: | 2730-6682 |