Keywords:
Geotechnical engineering.
;
Geology.
;
Water.
;
Hydrology.
;
Environmental monitoring.
;
Geotechnical Engineering and Applied Earth Sciences.
;
Geology.
;
Water.
;
Environmental Monitoring.
Description / 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 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.
Abstract:
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.
Type of Medium:
Online Resource
Pages:
VIII, 368 p. 95 illus., 87 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031433481
Series Statement:
Earth and Environmental Sciences Library,
URL:
https://doi.org/10.1007/978-3-031-43348-1
DOI:
10.1007/978-3-031-43348-1
DDC:
624.151
Language:
English
