Water Resource Management in Climate Change Scenario Innovations in Geospatial Techniques and Models /
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 cli...
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| Diğer Yazarlar: | , , , , , |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edisyon: | 1st ed. 2024. |
| Seri Bilgileri: | GIScience and Geo-environmental Modelling,
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| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-61121-6 |
| Etiketler: |
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İçindekiler:
- 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.