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Modelling Sediment Trapping by Non-Submerged Grass Buffer Strips Using Nonparametric Supervised Learning Technique
2015
Journal of Environmental Informatics
Grass strips are known as one of the most effective management practices in controlling sediment loss to rivers and other surface water bodies. Some physically-based models have been previously developed to predict the amount of sediment retention in grass strips. Although physically-based models can explain the effects and interactions of various factors, they tend to be sophisticated as they require a large amount of input data. A nonparametric supervised learning statistical model was
doi:10.3808/jei.201500291
fatcat:72r2iy2x45a6lch5hvo55kh3hi