Prediction of longitudinal dispersion coefficients in natural rivers using artificial neural network |
| |
Authors: | Rajeev Ranjan Sahay |
| |
Institution: | 1.Department of Civil Engineering,Birla Institute of Technology,Mesra,India |
| |
Abstract: | An artificial neural network (ANN) model is developed for predicting the longitudinal dispersion coefficient in natural rivers.
The model uses few rivers’ hydraulic and geometric characteristics, that are readily available, as the model input, and the
target output is the longitudinal dispersion coefficient (K). For performance evaluation of the model, using published field data, predictions by the developed ANN model are compared
with those of other reported important models. Based on various performance indices, it is concluded that the new model predicts
the longitudinal dispersion coefficient more accurately. Sensitive analysis performed on input parameters indicates stream
width, flow depth, stream sinuosity, flow velocity, and shear velocity to be the most influencing parameters for accurate
prediction of the longitudinal dispersion coefficient. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|