| Description |
1 online resource (viii, 368 pages) : illustrations (some color) |
| Series |
Earth and Environmental Sciences Library, 2730-6682 |
|
Earth and Environmental Sciences Library, 2730-6682
|
| Contents |
Introduction to "Groundwater in Arid and Semi-arid Areas" -- Groundwater in Arid and Semi-Arid Regions of India: A Review on the Quality, Management and Challenges -- Vulnerability to Pollution of Karstic Aquifers in the Tafna River Basin and Risk Mitigation Strategies (Northwest Algeria) -- Effect of Urbanization on Water Resources: Challenges and Prospects -- Understanding the Challenges: Sustainable Usage of Groundwater Resources in Türkiye -- Application of Geospatial Multicriteria Decision Analysis in the evaluation of groundwater Quality for Irrigation in the Northern sector of Gabes region (SE Tunisia) -- Creation of Rational Groundwater Management Schemes in the Chu Valley of the Kyrgyz Republic Based on Groundwater Modelling -- Applications of Machine Learning Models for Solving Complex Groundwater Modelling, Monitoring and Management Problems -- New Trends in Groundwater Contaminant Transport Modelling -- Groundwater Environment and Management in Kabul, Afghanistan -- Groundwater in the Nile Delta Aquifer, Egypt: Assessment, Modelling and Management with Climate Change in the Core -- Groundwater Contamination by Fluoride and Mitigation Measures for Sustainable Management of Groundwater in the Indo-Gangetic Plains of India -- Groundwater Quality in Shallow Aquifers of the Sedimentary Plain in Iraq: A Potential Concern for Drinking and Irrigation -- Investigating and Improving Natural Treatment Processes by Riverbank 2 Filtration in Egypt |
| Summary |
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 |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed October 30, 2023) |
| Subject |
Groundwater.
|
|
Groundwater.
|
| Form |
Electronic book
|
| Author |
Ali, Shakir, editor.
|
|
Armanuos, Asaad Mater, editor.
|
| ISBN |
9783031433481 |
|
3031433483 |
|
