,

Groundwater in Arid and Semi-Arid Areas

Monitoring, Assessment, Modelling, and Management

Specificaties
Gebonden, blz. | Engels
Springer Nature Switzerland | e druk, 2023
ISBN13: 9783031433474
Rubricering
Springer Nature Switzerland e druk, 2023 9783031433474
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783031433474
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Switzerland

Inhoudsopgave

Introduction to “Groundwater in Arid and Semi-arid Areas”.-&nbsp;Groundwater in Arid and Semi-Arid Regions of India: A Review on the Quality, Management and Challenges.-&nbsp;Vulnerability to Pollution of Karstic Aquifers in the Tafna River Basin and Risk Mitigation Strategies (Northwest Algeria).-&nbsp;Effect of Urbanization on Water Resources: Challenges and Prospects.-&nbsp;Understanding the Challenges: Sustainable Usage of Groundwater Resources in Türkiye.-&nbsp;Application of Geospatial Multicriteria Decision Analysis in the evaluation of groundwater Quality for Irrigation in the Northern sector of Gabes region (SE Tunisia).-&nbsp;Creation of Rational Groundwater Management Schemes in the Chu Valley of the Kyrgyz Republic Based on Groundwater Modelling.-&nbsp;Applications of Machine Learning Models for Solving Complex Groundwater Modelling, Monitoring and Management Problems.-&nbsp;New Trends in Groundwater Contaminant Transport Modelling.-&nbsp;Groundwater Environment andManagement in Kabul, Afghanistan.-&nbsp;Groundwater in the Nile Delta Aquifer, Egypt: Assessment, Modelling and Management with Climate Change in the Core.-&nbsp;Groundwater Contamination by Fluoride and Mitigation Measures for Sustainable Management of Groundwater in the Indo-Gangetic Plains of India.-&nbsp;Groundwater Quality in Shallow Aquifers of the Sedimentary Plain in Iraq:&nbsp; A Potential Concern for Drinking and Irrigation.-&nbsp;Investigating and Improving Natural Treatment Processes by Riverbank 2 Filtration in Egypt.<p><br></p>

Rubrieken

    Personen

      Trefwoorden

        Groundwater in Arid and Semi-Arid Areas