Soil Erosion, Sediment Transport, and Sustainable Soil and Watershed Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Soil Conservation and Sustainability".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 284
Special Issue Editors
Interests: soil erosion; machine learning; geotechnical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: water resources management; groundwater; land use and land cover; GIS
Special Issue Information
Dear Colleagues,
Soil erosion and sediment transport are fundamental processes linking terrestrial landscapes, river systems, and downstream aquatic environments, and they play a critical role in the sustainability of land and water resources. Accelerated soil erosion driven by land-use change, climate variability, and extreme hydrological events not only degrades soil productivity but also threatens long-term agricultural sustainability, water security, and ecosystem resilience. Increased sediment delivery to rivers and reservoirs affects water quality, turbidity, flood risk, and the sustainable operation of water infrastructure, highlighting the need for integrated and forward-looking management strategies.
This Special Issue aims to bring together recent advances that support the sustainable assessment, management, and mitigation of soil erosion and sediment transport across hillslope–river–watershed systems. Contributions addressing sediment dynamics in rivers—such as river flow velocity, sediment fluxes, and turbidity—are particularly encouraged, given their importance for sustainable watershed management, water resource planning, and climate adaptation. This Special Issue welcomes both process-based and data-driven modeling approaches, including the application of machine learning and deep learning techniques, to improve soil erosion assessment, sediment transport modeling, river flow estimation, and water quality monitoring. By integrating physical understanding with emerging analytical tools, this Special Issue seeks to advance sustainable land use, resilient watershed systems, and evidence-based environmental decision-making under changing climatic and socio-environmental conditions.
Prof. Dr. Walter Chen
Prof. Dr. Uma Seeboonruang
Dr. Kieu Anh Nguyen
Guest Editors
Manuscript Submission Information
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Keywords
- soil erosion
- sediment transport
- river dynamics
- watershed management
- sustainable soil conservation
- machine learning
- deep learning
- turbidity and water quality
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