Water Resource Management in Climate Change Scenario : Innovations in Geospatial Techniques and Models / edited by Swapan Talukdar, Shahfahad, Swades Pal, Mohd Waseem Naikoo, Shakeel Ahmed, Atiqur Rahman.

Format:

Book

Contributor:

Talukdar, Swapan, editor.

Series:

GIScience and Geo-environmental Modelling, 2730-7514

Language:

English

Subjects (All):

Water.

Hydrology.

Climatology.

Physical geography.

Geographic information systems.

Ecology.

Environmental geography.

Climate Sciences.

Physical Geography.

Geographical Information System.

Environmental Sciences.

Integrated Geography.

Local Subjects:

Water.

Climate Sciences.

Physical Geography.

Geographical Information System.

Environmental Sciences.

Integrated Geography.

Physical Description:

1 online resource (292 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This book seeks to showcase the ongoing challenges of water resource and its management through innovative and cutting-edge approaches (flooding and droughts and their respective impacts; spatial and urban planning; early warning systems; estimation of losses; water resource in the age of global climate change; risk communication; meteorology; integrated analysis; risk mitigation; infrastructures; nature-based management; watershed management; transport; legal assessment; vulnerability analysis; public participation; or case studies). In the face of current global changes, the availability and quality of water resources are under severe threat. Indeed, in all sectors related to water resource management, sustainable development is important for present and future generations. Indeed, multiple problems such as water shortage or flooding, as well as environmental pollution phenomena, are observed. This situation is further exacerbated by poor management practices and unsustainable extraction of water for various consumptive uses. Consequently, many regions around the world, particularly urban areas, are becoming water stressed and conflicts over access to water are becoming ever more common. To overcome the significant challenges fundamental to the management of water resources, cutting-edge knowledge, innovative approaches, and an in-depth understanding of the inherent scientific, economic, social, and environmental issues are imperative. Therefore, water resource management requires a clear understanding of the ongoing challenges and innovative approaches. The authors and editors believe that this book provides huge knowledge and data in the fields of water resource management, earth environmental sciences, humanities, and social sciences, which target a diverse range of readers, such as academics, scientists, students, environmentalists, meteorologists, urban planners, remote sensing, and GIS experts.

Contents:

Recent Trends in Application of Geospatial Technology and AI for Water Resource Monitoring and Management

Recent Trends in Water Quality Monitoring: Co-dispersions, Sources, and Probabilistic Health Risk Assessment

Monitoring Spatial Pattern of Floods for Developing Flood Management Strategies and Better Community Resilience

Monitoring Flood Plain Wetland Degradation for Restoration and Conservation

Spatial Dynamics of the Urban Wetlands and its Influence on Urban Environment and Ecosystem Services

Monitoring Wetland Degradation by Integrating Machine Learning and Remote Sensing Techniques

Changing Pattern of River Flooding Under Climate Change Scenario: A Geospatial Analysis of Rainfall-discharge Trends and Controlling factors

Groundwater Potential Mapping Using Remote Sensing Techniques Coupled with Deep Learning and Stacking Framework

Application of Deep Learning Algorithms for Flood Susceptibility Mapping in Data-scarce Region

Monitoring Glacier Changes in the south-western Himalayas using Geospatial and Geostatistical Approach

Integration of Optical and Microwave Remote Sensing Datasets for Surface Water Mapping

Prediction of Nitrate Contamination in Lake Water at Pixel-Scale using Deep Learning Models

Monitoring River Water Quality and Proposing Management Strategies by Integrating Geospatial Techniques and Machine Learning

Comparison of Performance of Machine Learning Techniques in Prediction of Groundwater Quality

Lake Water Eutrophication Monitoring and Proposing Management Strategies for Water Quality Treatment

Analyzing Sources of Heavy Metal Pollution in Drinking Water and Identifying Water Treatment Plans using Geospatial Techniques and AI

Integration of Machine Learning Models with Game Theory for Understanding Water Induced Soil Erosion in Guwahati Urban Watershed

Proposing a New Framework for Urban Blue Space Mapping by Coupling Image Fusion Techniques and AI

Quantification of Surface Water Contamination by Integrating Geospatial and Geostatistical Approach

Application of AI and Big Data for the Prediction of Glacier Melting.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Talukdar, Swapan Water Resource Management in Climate Change Scenario

ISBN:

9783031611216