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Hydrology Research Special Issue on:


Sailing Through Change: AI and ML Approaches for Climate-Resilient Hydrology

CALL FOR PAPERS

 

The special issue "Sailing Through Change: AI and ML Approaches for Climate-Resilient Hydrology" seeks to explore the innovative applications of artificial intelligence (AI) and machine learning (ML) in the field of hydrology, with a specific focus on addressing the challenges posed by climate change. We invite submissions that demonstrate the use of AI and ML techniques to enhance our understanding, prediction, and management of water resources in the context of changing climate patterns.

We are pleased to invite you to submit a manuscript to Hydrology Research for peer review and possible publication in a Special Issue entitled Sailing Through Change: AI and ML Approaches for Climate-Resilient Hydrology.

 

Relevant topics include:

  • Advanced Machine Learning Techniques in Hydrological Modeling
  • AI-Based Flood Prediction and Management Systems
  • Climate Change Impact Assessment on Water Resources Using AI
  • Machine Learning Applications for Drought Monitoring and Management
  • AI-Driven Water Quality Monitoring in the Context of Climate Change
  • Reservoir Operation Optimization Using Artificial Intelligence
  • Remote Sensing Data Analysis for Climate-Resilient Hydrology
  • AI-Based Decision Support Systems for Integrated Water Resources Management
  • Big Data Analytics for Climate Change Adaptation in Hydrology
  • Predictive Modeling of Extreme Weather Events Using Machine Learning
  • Scalable AI Solutions for Real-Time Hydrological Forecasting
  • AI-Driven Sustainable Groundwater Management Strategies
  • Climate-Informed Water Allocation Policies Using Machine Learning
  • Satellite Data Fusion Techniques for Climate-Resilient Hydrological Monitoring
  • AI-Enabled Risk Assessment and Management in Water Resources Planning
  • Energy enhancing through water supply systems Using AI/ML
  • Hydropower development under climatic scenarios

 

Key dates:

Deadline for manuscript submission: 27th June, 2025

Expected publication: Accepted papers will be published online as soon as possible

 

Guest Editors:

Vikram Kumar, Planning and Development Department, Govt. of Bihar, India

Upaka Rathnayake, Atlantic Technological University Sligo, Ireland

Yukinobu Hoshino - School of Systems Engineering, Kochi University of Technology, Japan

 

How to submit:

Please make sure that your paper follows the Instructions to Authors of the journal, before submitting your paper directly to Hydrology Research peer review system. Then choose the article type – ‘Special Issue Article OA’ and the submission category – ‘Special Issue: AI and ML Approaches’. This will send your paper to one of the Guest Editors.

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