MODEL DEVELOPMENT FOR ESTIMATION OF SEDIMENT REMOVAL EFFICIENCY OF
SETTLING BASINS USING GROUP METHOD OF DATA HANDLING
Abstract
The surplus sediment which enters in the canal may be removed using
settling basins. In the present study, the available relationships
concerning sediment removal efficiency of settling basins are verified.
It has been observed that efficiencies computed by different
relationships are greatly varied and none of the relationships can
accurately predict the efficiency. Hence a new non-linear regression
model has been proposed in terms of settling basin parameters. On the
basis of various performance parameters, it was observed that the
present regression model has the highest accuracy as compared to
available regression models. A new model based on the group method of
data handling (GMDH) has also been developed for predicting the removal
efficiency of the settling basin. It was observed that the efficiency
estimated using the GMDH model is more accurate than those given by the
regression model. Also, the ratio of the fall velocity of the particle
to the average velocity of flow over the cross-section of the basin has
been determined as the most effective parameter on efficiency through a
sensitivity analysis. However, on the basis of variations in the outcome
obtained from the application of different analytical methods, the GMDH
model consisting all input variables may be used for generality. This
work will help in quantifying and subsequently improving the management
of surplus sediment in canals.