Quantile Regression Method to Determine Longitudinal Dispersion Coefficient of River Channel
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Abstract:
The determination method of longitudinal dispersion coefficient based on the quantile regression and the concentration-time data of two sites were used to predict the water quality in the river channel. Moreover, the results determined by the quantile regression and least squares regression methods were compared. The example results showed that the quantile regression method is feasible and effective to determine the longitudinal dispersion coefficient of river channel. The quantile regression parameters passed the hypothesis test in the 97.5% confidence level at the first site, and the highest correlation coefficient of the predicted and actual values at the second site reached up to 0.928. In addition, quantile regression method has more advantage in solving the problems with skewed distribution than the least squares regression method.
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