Groundwater in Arid and Semi-Arid Areas
Monitoring, Assessment, Modelling, and Management
Series: Earth and Environmental Sciences Library;
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Product details:
- Edition number 1st ed. 2023
- Publisher Springer
- Date of Publication 25 October 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783031433474
- Binding Hardback
- No. of pages368 pages
- Size 235x155 mm
- Weight 729 g
- Language English
- Illustrations 8 Illustrations, black & white; 87 Illustrations, color 556
Categories
Short description:
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.
Long description:
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.
Table of 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 andManagement 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.
