A comprehensive uncertainty analysis of model-estimated longitudinal and lateral dispersion coefficients in open channels

The complexity of pollutant-mixing mechanism in open channels generates large uncertainty estimation longitudinal and lateral dispersion coefficients (Kx Ky). Therefore, Kx Ky rivers should be accompanied by an analysis, a subject mainly ignored previous studies. We introduce method based on thorough analysis different calibration datasets, resampled from global database tracer studies, to determine the associated with five applicable intelligent models for (model tree, evolutionary polynomial regression (EPR), gene-expression programming, multivariate adaptive splines (MARS), support vector machine (SVM)). Our findings suggest that SVM gives least both estimation, while EPR MARS generate most respectively. By considering significant model estimations, we methodology here determination incorporated empirical studies rivers.