Using Sobol’ sensitivity analysis to identify important model layers of a prediction model for simulating soil nitrogen transport in surface runoff and subsurface water - Zhang, Shiwei; Tong, Juxiu; Ye, Ming (Stochastic environmental research and risk assessment, 2025)
Keywords: Agricultural land; Agricultural runoff; Ammonia; Aquatic Pollution; Chemistry and Earth Sciences; Computational Intelligence; Computer Science; Earth and Environmental Science; Earth Sciences; Environment; Math. Appl. in Environmental Science; Nitrates; Nitrogen; Nonpoint source pollution; Original Paper; Parameter identification; Parameter sensitivity; Parameter uncertainty; Physics; Pollution dispersion; Pollution sources; Ponding; Prediction models; Probability Theory and Stochastic Processes; Runoff; Sensitivity analysis; Soil analysis; Soil conditions; Soil improvement; Soil layers; Soil mixing; Soil pollution; Soil surfaces; Soils; Statistics for Engineering; Subsurface water; Surface runoff; Surface water; Uncertainty analysis; Urea; Waste Water Technology; Water Management; Water Pollution Control; Sobol GSA; HYDRUS-1D; Model parameter; The prediction model of soil nitrogen transport