Groundwater in Arid and Semi-Arid Areas Monitoring, Assessment, Modelling, and Management /
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,...
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| Соавтор: | |
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| Другие авторы: | , |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Редактирование: | 1st ed. 2023. |
| Серии: | Earth and Environmental Sciences Library,
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| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-43348-1 |
| Метки: |
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| Итог: | 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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| Объем: | 1 online resource (VIII, 368 p. 95 illus.). 87 illus. in color. |
| ISBN: | 9783031433481 |
| ISSN: | 2730-6682 |
| DOI: | 10.1007/978-3-031-43348-1 |