To investigate the two-dimensional dispersion characteristics of the dissolved contaminant
in natural rivers, tracer experiments were performed based on the instantaneous injection of …

In this study, longitudinal and transverse dispersion coefficients of the two-dimensional
advection-dispersion model were calculated using both the velocity and concentration data …

Transverse mixing coefficient (TMC) is known as one of the most effective parameters in the
two-dimensional simulation of water pollution, and increasing the accuracy of estimating this …

The accuracy of water quality predictions is essential, especially in countries affected by
climate change and ecological water diversity. Water quality modelling in rivers is a valuable …

Transverse mixing is a complex process and important in understanding the transport of
pollution in rivers. This study presents a genetic programming (GP)-based model for …

Transverse mixing coefficient is one of the key elements of pollutant in two-dimensional
modeling. In this study, four data-driven models, M5 model tree, multivariate adaptive …

This study aims to develop a straightforward and practical formula to estimate transverse
dispersion coefficients in meandering natural rivers, a critical factor for predicting solute …

Transverse mixing coefficient (TMC) is one of the key factors in the modelling of lateral
dispersion of pollutants. Several researchers have attempted to estimate this coefficient …

In this study, the strengths and weaknesses of existing methods for determining the
dispersion coefficient in the two-dimensional river mixing model were assessed based on …

The B1 tailings dam of Córrego do Feijão iron-ore mine of Vale SA, located in the Ferro-
Carvão stream watershed (Brumadinho municipality, state of Minas Gerais, Brazil) …