Mathematical Modeling of Soil Erosion and Sediment Yield

Soil erosion and sediment transport are among the most important environmental processes affecting catchment stability, land productivity, river morphology, and reservoir sustainability. Soil erosion is primarily driven by rainfall impact and surface runoff, while the produced sediment is transported through stream networks downstream. Soil erosion is also driven by wind, which in some regions may be much more substantial than water-induced erosion. Understanding and quantifying these interconnected processes is essential for sustainable land and water management. Mathematical modeling has become a key tool for analyzing soil erosion and sediment yield across different spatial and temporal scales. Existing approaches include empirical, conceptual, and physically based models, each having different levels of complexity and data requirements. In recent years, advances in machine learning techniques, fuzzy regression methods, remote sensing technologies, and climate-driven modeling have expanded the ability to predict erosion responses under changing environmental conditions. Related processes such as gully erosion and landslides are increasingly considered because of their contribution to sediment production and landscape evolution.This Research Topic aims to address current challenges and recent advances in the mathematical modeling of soil erosion processes caused by rainfall and runoff, as well as sediment transport and sediment yield at the catchment scale. The Topic also includes improving the understanding of erosion dynamics through field measurements, long-term monitoring, model calibration, validation, and remote sensing observations. Contributions are encouraged that explore both traditional and emerging modeling approaches, including physically based models, data-driven techniques, hybrid methodologies, and climate-sensitive applications. Studies addressing related geomorphological processes such as gully erosion and landslide-induced sediment production are also welcomed. The quantification of soil erosion and sediment yield has important implications for engineering design, catchment management, and environmental protection. Reliable modeling can support the planning and inform actions for intercepting structures such as check dams, retention basins, management and support practices, and generally erosion-control measures. In addition, sediment yield estimation is directly related to reservoir sedimentation assessment and long-term water infrastructure sustainability.This Research Topic welcomes contributions from soil and environmental scientists, hydrologists, geologists, geomorphologists, remote sensing specialists, and engineers. Both original research articles and review papers are welcome.Potential themes include, but are not limited to:• Mathematical and computational modeling of soil erosion and sediment yield • Empirical, conceptual, physically based, and hybrid modeling approaches • Machine learning, fuzzy regression, and data-driven methods in erosion prediction • Remote sensing applications and spatial analysis for erosion assessment • Field measurements, monitoring strategies, and model calibration or validation • Hillslope, plot-scale, catchment-scale, and landscape-scale applications • Sediment transport, stream erosion, deposition, and reservoir sedimentation• Debris flows, mass movement, and related hillslope processes• Gully erosion, landslides, and slope instability related to sediment production • Climate change impacts on erosion processes and sediment dynamics • Extreme events and erosion mitigation measures The Research Topic aims to promote interdisciplinary perspectives and encourage studies that improve process understanding, predictive accuracy, and practical implementation. Topic editors: Vlassios Hrissanthou, Konstantinos Kaffas Source: https://www.frontiersin.org/research-topics/82328/mathematical-modeling-of-soil-erosion-and-sediment-yield