🌍 International collaborators and multidisciplinary research teams are especially encouraged to contribute.
🔬 Preferred Contributions
Experimental and analytical research chapters are strongly preferred. Contributions should ideally include:
- Original or publicly available datasets
- Experimental implementation and quantitative evaluation
- Comparative analysis with existing methods
- Statistical analysis and performance metrics
- Real-world hydrological or climate applications
- Reproducible modelling methodologies
- Clear implications for climate resilience and sustainability
Original chapter proposals beyond the suggested topics are also welcome.
📚 Proposed Topics
- Generative AI Concepts for Climate-Resilient Hydrology (Booked)
- Bridging Data Gaps with Synthetic Data Generation in Hydrology
- Physics-Informed Generative Models for Hydrological Forecasting
- GAN-Based Flood Inundation Mapping and Prediction
- Variational Autoencoders for Drought Pattern Reconstruction
- Diffusion Models for Extreme Climate Event Simulation
- Transformer-Based Time Series Forecasting for Hydrology
- Data Augmentation for Smart Hydrological Prediction
- AI-Enabled Climate Downscaling for Regional Water Forecasting
- Generative AI for Sustainable Water Infrastructure Stress Testing
- Spatio-Temporal Generative Models for Smart Water Grids
- Generative AI for Agricultural Water Management (Booked)
- Explainable Generative AI in Hydrology: Trust and Transparency
- Digital Twin Hydrology: Coupling Generative AI with Simulation Platforms
- Governance and Future of Generative AI in Climate-Resilient Hydrology
🌐 Additional Research Areas Welcome
Authors may also propose novel experimental chapters related to flood and drought prediction, groundwater modelling, rainfall–runoff forecasting, climate extremes, remote sensing, satellite-based hydrology, sustainable irrigation, watershed management, reservoir operation, urban water systems, water-quality prediction, climate-risk assessment, uncertainty quantification and multimodal hydrological modelling.
👥 Target Contributors
Researchers and professionals in:
Hydrology | Water Resources | Climate Science | Environmental Engineering | Artificial Intelligence | Machine Learning | Remote Sensing | Agricultural Engineering | Civil Engineering | Geoinformatics | Environmental Modelling | Sustainability
📅 Important Submission Deadlines
|
Milestone |
Deadline |
|
Chapter Submission |
10 October 2026 |
|
Review Notification |
10 November 2026 |
|
Final Camera-Ready Chapter |
20 December 2026 |
⭐ Key Highlights
✔ Springer Book
✔ No Publication Fee
✔ Experimental & analytical chapters preferred
✔ International authors and collaborators welcome
✔ Interdisciplinary contributions encouraged
✔ Novel topics beyond the proposed TOC are welcome
Researchers interested in contributing are invited to submit their chapter title, author details and brief abstract to the editors.
Be part of an international research volume advancing AI-enabled, climate-resilient and sustainable hydrological systems.