Water Scarcity Management

Towards the Application of Artificial Intelligence and Earth Observation Data

Omid Rahmati, Assefa M. Melesse, Amir Naghibi

• Publisher: Elsevier
• Year: 2025
• eBook ISBN:
  9780443267239
• Topic: Physical Sciences
• Subtopic: Geophysics

Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively developed and applied in domain of water-related disasters. The target of this book is to present new advances and achievements in the fields of drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning, etc.), statistical indices, and a diverse range of satellite remote sensing and geo-spatial data sets. Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data will help students gain knowledge on drought prediction using new free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with the monitoring of water resources and key elements of hydrological cycle. - Covers application of a range of diverse artificial intelligence algorithms for spatial modeling of drought susceptibility - Includes real case studies from large geographical areas - Offers earth observation satellite data for spatio-temporal analysis of drought and water scarcity - Combines geo-environmental and topo-hydrological factors with drought and water scarcity issues

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• Preface
• Chapter 1 Water scarcity crisis: overview of challenges and solutions
• Chapter 2 Assessing dust storm risks in water-scarce regions: a machine learning approach
• Chapter 3 An integrated machine learning framework for flood susceptibility assessment
• Chapter 4 Application of Gravity Recovery and Climate Experiment satellite data to monitor groundwater storage and scarcity
• Chapter 5 Discover the world of drought and water scarcity indices: insights for a sustainable future
• Chapter 6 Exploring the interplay of water scarcity and dust emissions
• Chapter 7 Groundwater potential mapping: a way for mitigating water scarcity
• Chapter 8 The role of climatic and anthropogenic factors in drying up of lakes
• Chapter 9 Integrated assessment of the vulnerability of socio-ecological coupled systems of coastal areas to drought
• Chapter 10 The effect of climatic and human factors on hydrological drought
• Chapter 11 Machine learning-driven land subsidence prediction using radar imagery
• Chapter 12 Remote sensing for assessing ecosystem drought impact
• Chapter 13 Ground deformation and groundwater dynamics: the role of interferometric synthetic aperture radar analysis in confined aquifer systems
• Chapter 14 Drought mitigation and management measures
• Chapter 15 Technological innovations in water conservation: navigating drought and water scarcity
• Chapter 16 Vegetation dynamics as a response to meteorological drought
• Chapter 17 Machine learning in groundwater drought forecasting: a bibliometric perspective
• Chapter 18 Decoding the water crisis in Iran: policy challenges and resource constraints
• Chapter 19 Human effects of dam construction on the downstream ecosystem
• Chapter 20 Climatic influences on vegetation degradation and soil moisture
• Chapter 21 Holistic water resource management under scarcity: integrating policy frameworks with practical solutions
• Index