Study models sand transport in diverse environments, suggesting effective erosion prevention strategies.
Soil erosion is most intricate and damaging in the geomorphological context where wind and water erosion converge. This research introduces an energy-based model for simulating wind-water composite erosion, sand generation, and sediment transport on sandy and coarse sandy slopes within the Yellow River basin. The model integrates erosion energy as a fundamental element, utilizing data obtained from wind tunnel testing and rainfall studies. The findings indicate that the wind erosion energy-based model for predicting sand production and transport is highly effective in sand-capped bedrock, sand-capped loess, and loess regions, achieving coefficients of determination ( R 2 ) of 0.978, 0.944, and 0.979, respectively. The goodness of fit between sediment yield on loess slopes and runoff erosion energy yielded an R 2 of 0.804, whereas the R 2 for sand-capped slopes was only 0.565, indicating a significant decrease in fitting performance compared with loess slopes. The wind-water compound slope erosion sediment yield and transport model established in this study achieves coefficients of determination R 2 of 0.891 for sand-capped loess and 0.957 for sand-capped bedrock, and possesses better prediction performance than models that only take runoff energy into account. This research not only provides theoretical support for the in-depth prevention and control of combined wind and water erosion, but also offers quantitative evidence for formulating regional ecological restoration and management strategies.
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Guo et al. (2026) studied this question.
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