Special Issue: AI-Driven Solutions for Sustainable Sediment Transport

Sediment transport is a critical process influencing riverine and coastal environments, infrastructure sustainability, and water resource management. Despite the unifying principles of sediment transport mechanics, collaboration between fundamental transport researchers and applied engineering and geomorphology experts remains limited.

Meanwhile, the rapid advancement of artificial intelligence (AI) presents opportunities for sediment transport science, yet challenges persist in effectively integrating AI-driven methods.

This special issue aims to publish the latest research and engineering applications that apply AI technology including machine learning models, data assimilation approach, and AI tools in advancing sediment research.

Contributions may focus on field and experimental data analysis, AI-driven innovations in sediment modeling, and novel approaches to practical challenges in sediment management.

Topics include, but are not limited to:

1.AI-enhanced predictive models for sediment dynamics.

2. Integration of remote sensing and real-time data assimilation with AI.

3. Modeling frameworks that use data-driven approach or couple physical process models with AI.

We also welcome case studies and applied research addressing unsustainable sediment mining, reservoir sedimentation and its impact on water storage and dam operations, and strategies for long-term sustainable sediment management. Submissions showcasing solutions in sediment budgeting, bypassing techniques, and adaptive infrastructure planning are strongly encouraged.

Guest editors:

• Jennifer G Duan, Professor, Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ 85755. Email: gduan@arizona.edu
• Andrew Bennett, Assistant Professor, Department of Hydrology and Atmospheric Science, University of Arizona, Tucson, AZ 85721. Email: andrbennett@arizona.edu
• Xiaofeng Liu, Professor, Department of Civil and Environmental Engineering, Penn State University, College Station, Pennsylvania. Email: xzl123@psu.edu
• Priscilla William, Assistant Professor, Department of Civil and Environmental Engineering, University of Iowa, Iowa City, Iowa. Email: pricilla-williams@uiowa.edu

Manuscript submission information:

Authors will submit their papers to the special issue through the Editorial Manager System.

Submissions must be original, unpublished, and not under consideration elsewhere for publication while being evaluated for Special Issue.

Please refer to the Guide for Authors to prepare your manuscript and select the article type of "VSI: AI-Driven Solutions for Sustainable Sediment Transport" when submitting your manuscript online.

Editorial Manager System: 

https://www.editorialmanager.com/ijsrc/

Guide for Authors: 

https://www.keaipublishing.com/en/journals/international-journal-of-sediment-research/guide-for-authors

The submission deadline is March 1st, 2026.