2026-10-12T03:01:29Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33944485 2026-09-20T05:38:20Z category_272 category_45 category_734 category_931 portal_87 item_type_3 month_year_09_2026

Evolution of soil erosion and sediment delivery modelling over six decades: paradigms, limitations and new solutions M. Latella (25077187) M. Santini (3357866) P. Costabile (25077190) R. Padulano (25077193) Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Information Systems not elsewhere classified sediment delivery modelling artificial intelligence remote sensing <p>Modelling sediment delivery, namely the linkage between hillslope erosion and yield in river systems, is still a challenge. In this study, 1,075 publications from Elsevier's Scopus were analysed to trace the evolution from lumped to spatially distributed approaches. Results confirm that no single model type dominates, while several studies rely on simplified approaches, and data- and model-related errors remain unresolved. Artificial intelligence (AI) and remote sensing (RS) can address such limitations. However, although AI has emerged as either a complementary tool for generating new climate or land-use scenarios or a standalone framework, its adoption has not been transformative so far. Similarly, RS is increasingly used to characterise topography and land cover, but is poorly leveraged to determine other factors influencing sediment dynamics. This overview of existing and evolving methods provides useful insights to support river basin management and model selection. Overall, this study underscores the need for further integration of diverse data sources and processing methods, while future research should prioritise the trade-offs among model complexity, accuracy, and scalability.</p> 2026-09-20T05:38:20Z Dataset Dataset 10.6084/m9.figshare.33944485.v1 https://figshare.com/articles/dataset/Evolution_of_soil_erosion_and_sediment_delivery_modelling_over_six_decades_paradigms_limitations_and_new_solutions/33944485 CC BY 4.0