07025nam a22006855i 4500 978-3-031-61121-6 DE-He213 20251030112836.0 cr nn 008mamaa 240708s2024 sz | s |||| 0|eng d 9783031611216 978-3-031-61121-6 10.1007/978-3-031-61121-6 doi GB651-2998 RBK bicssc SCI081000 bisacsh RBK thema Water Resource Management in Climate Change Scenario [electronic resource] : Innovations in Geospatial Techniques and Models / edited by Swapan Talukdar, Shahfahad, Swades Pal, Mohd Waseem Naikoo, Shakeel Ahmed, Atiqur Rahman. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIX, 285 p. 132 illus., 129 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda GIScience and Geo-environmental Modelling, 2730-7514 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. 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. Water. 65998 Hydrology. 65999 Climatology. 62309 Physical geography. 66716 Geographic information systems. 61967 Environment. 65893 Environmental geography. 69017 Water. 65998 Climate Sciences. 67755 Physical Geography. 66716 Geographical Information System. 66422 Environmental Sciences. 61155 Integrated Geography. 69018 Talukdar, Swapan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81876 Shahfahad. editor. (orcid)0000-0001-5868-1062 https://orcid.org/0000-0001-5868-1062 edt http://id.loc.gov/vocabulary/relators/edt 81877 Pal, Swades. editor. edt http://id.loc.gov/vocabulary/relators/edt 81878 Naikoo, Mohd Waseem. editor. edt http://id.loc.gov/vocabulary/relators/edt 81879 Ahmed, Shakeel. editor. edt http://id.loc.gov/vocabulary/relators/edt 36570 Rahman, Atiqur. editor. edt http://id.loc.gov/vocabulary/relators/edt 81761 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031611209 Printed edition: 9783031611223 Printed edition: 9783031611230 GIScience and Geo-environmental Modelling, 2730-7514 80759 https://doi.org/10.1007/978-3-031-61121-6 ZDB-2-EES ZDB-2-SXEE 62223 62223