Sediment computations in the hydrologic module can be performed using fitted sediment rating curves and trained artificial neural networks:
Fitted Regression Line #
By clicking on the Fitted Regression Line option, the following window will open, displaying the models saved in the project file:
If the desired model is stored in another project file, or if the user intends to use an equation that was not created by STE, they can use the Import Equations from Other Projects option to add equations from other STE project files to the current project and perform calculations using them.
Using the Input Equation by User option, the user can manually add a custom equation to the STE project file.
Import Equations from Other Projects #
Click the Open Project File button to select the STE project file from which equations are to be imported. The equations in the selected source project will be listed under Unselected Equations.
Use the provided controls to move the desired equations to the Selected Equations list.
Click Import to transfer all equations in the Selected Equations list into the current project file.
Input Equation By User #
On this page, the user can define a custom equation for use in STE using the available tools. Once defined, the equation can be used to calculate sediment load.
By selecting the desired equation from the list of existing equations in the project file and clicking the Select button, the Sediment Load Calculator in the Hydrologic section will be displayed.
In the Equation Information section, the details and specifications of the selected equation will be displayed.
In the Inputs section, the required input data for calculating sediment load will be specified.
By clicking the Calculate button, the computations will be performed, and the results, including graphs and the Results section, will be displayed.
Artificial Neural Network #
By clicking on the Artificial Neural Network option, the following window will open, displaying the models saved in the project file:
If the desired neural network is saved in another project file, the user can use the Import ANNs from other Projects option to add neural networks from other STE project files into the current project file and perform calculations using them.
Import ANNs from other Projects #
By clicking the Open Project File button, select the project file from which the neural networks are to be added to the current project file. The existing networks in the source project file will be loaded into the Unselected ANNs list.
Using the provided options, transfer the desired networks to the Selected ANNs list.
By clicking the Import button, all networks in the Selected ANNs list will be imported into the current project file.
By selecting the desired network from the list of networks available in the project file and clicking the Select button, the sediment load calculation page in the hydrological section will be displayed.
In the ANN Information section, the details and specifications of the selected artificial neural network will be presented.
In the Inputs section, the input data for sediment load calculation will be specified.
By clicking the Calculate button, the computations will be performed, and the results along with graphs and the Results section will be displayed.
In the Inputs section, using the Input Type option, you can specify from which part the input data for calculations should be selected and processed:
By selecting Use a DataList, you can choose one of the pre-prepared ChildLists in the DataList section and use the data contained therein to calculate sediment load using the selected model.
By selecting Use Stage – Discharge Relation, you can select one of the Sections defined for the rivers in the project file, choose the stage-discharge curve, and calculate the sediment load accordingly.
Please note that before entering this section, the stage-discharge curve must be calculated and recorded in the Hydraulics Computations section for the selected cross-section.
By selecting User Input, you can manually enter the desired data in the displayed table and perform the calculations.
Please note that if the estimation model is an Artificial Neural Network (ANN), entering all the shown parameters (columns) is mandatory for the calculations.
(The observed sediment discharge value is optional for both model types — rating curve and ANN. However, if you want to evaluate the model’s accuracy, you must provide this value. Without it, the software cannot assess the model’s accuracy.)
The Accuracy Information section provides details about the model’s accuracy based on the measured data entered by the user. For more information on this and how to configure these calculations, please refer to the section “Accuracy Evaluation Criteria”.
The results will be displayed in the charts on this page.
By right-clicking on the plotted chart and selecting Export Chart, you can save the chart as an image file.
By right-clicking on the plotted chart and selecting Export Data To Excel, you can export the calculation details to Microsoft Excel.
