Robustness analysis of model parameters for sediment transport equation development is carried out using 256 hydraulics and sediment data from twelve Malaysian rivers. The model parameters used in the analyses include parameters in equations by Ackers-White, Brownlie, EngelundHansen, Graf, Molinas-Wu, Karim-Kennedy, Yang, Ariffin and Sinnakaudan. Seven parameters in five parameter classes were initially tested. Robustness of the model parameters was measured on the statistical relations through Evolutionary Polynomial Regression (EPR) technique and further examined using the discrepancy ratio of the predicted versus the measured values. Results from analyses sugges
In this study, equations for estimating sediment transport in channels are assessed using field data...
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. ...
The main purpose of this study is to study sediment transport characteristics at Langat River. Lang...
Evolutionary Polynomial Regression (EPR) has been used to determine the total sediment load in selec...
This study investigates the use of Evolutionary Polynomial Regression (EPR) for predicting the total...
Existing available models for predicting the total load of sediment transport are mostly developed b...
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. ...
Sediment transport in rivers is an important and complex process. It is very important to know the n...
The sediment transport study deals with the analysis of sediment particles and flow characteristics....
Mining has become one of the most challenging phenomena that can cause serious sedimentation process...
Effect of rapid urbanization has accelerated the impact on the catchment hydrology and geomorphology...
Sediment transport is one of the most powerful factor on river hydrology. It has vital importance fo...
Flow estimation in alluvial channel is one of the most common practices in river engineering. A lot...
In order to recommend the equations that can accurately predict sediment transport rate in channels,...
Examining river engineering properties and bed erosion is one of the most challenging but crucial is...
In this study, equations for estimating sediment transport in channels are assessed using field data...
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. ...
The main purpose of this study is to study sediment transport characteristics at Langat River. Lang...
Evolutionary Polynomial Regression (EPR) has been used to determine the total sediment load in selec...
This study investigates the use of Evolutionary Polynomial Regression (EPR) for predicting the total...
Existing available models for predicting the total load of sediment transport are mostly developed b...
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. ...
Sediment transport in rivers is an important and complex process. It is very important to know the n...
The sediment transport study deals with the analysis of sediment particles and flow characteristics....
Mining has become one of the most challenging phenomena that can cause serious sedimentation process...
Effect of rapid urbanization has accelerated the impact on the catchment hydrology and geomorphology...
Sediment transport is one of the most powerful factor on river hydrology. It has vital importance fo...
Flow estimation in alluvial channel is one of the most common practices in river engineering. A lot...
In order to recommend the equations that can accurately predict sediment transport rate in channels,...
Examining river engineering properties and bed erosion is one of the most challenging but crucial is...
In this study, equations for estimating sediment transport in channels are assessed using field data...
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. ...
The main purpose of this study is to study sediment transport characteristics at Langat River. Lang...