Groundwater in Arid and Semi-Arid Areas - Ali, Shakir; Armanuos, Asaad Mater; (szerk.) - Prospero Internetes Könyváruház
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Értesítés a kedvenc témákról
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A termék adatai:
ISBN13:9783031433474
ISBN10:3031433475
Kötéstípus:Keménykötés
Terjedelem:368 oldal
Méret:235x155 mm
Súly:729 g
Nyelv:angol
Illusztrációk: 8 Illustrations, black & white; 87 Illustrations, color
556
Témakör:

Groundwater in Arid and Semi-Arid Areas

Monitoring, Assessment, Modelling, and Management
 
Kiadás sorszáma: 1st ed. 2023
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
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Kiadói listaár:
EUR 139.09
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59 001 Ft (56 192 Ft + 5% áfa)
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54 281 (51 697 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 4 720 Ft)
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Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:
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.