
Hydraulic sediment transport calculations require a wide range of measured and computed parameters, including:
- Sediment particle size,
- Flow characteristics,
- River cross-section parameters,
- Energy slope,
- Water temperature, and more.
Although this method demands detailed input data, it offers higher computational accuracy compared to hydrologic methods. In contrast, hydrologic calculations only require flow discharge as input, but they rely on previous river studies and are generally less accurate than hydraulic computations.
Hydraulic Calculation Features in STE #
The hydraulic sediment transport module in STE provides users with the following advanced capabilities:
✅ Sediment Data Analysis & Particle Size Computation
✅ River Cross-Section Analysis & Computation of All Related Parameters
✅ Energy Slope Calculation Using Various Models
✅ Flow Discharge Estimation & Stage-Discharge Curve Development Using:
- Average Velocity Estimation Models
-Coherence
-Manning (SCM-DCM)
-Engelund and Hansen
-Van Rijn
-Haidera and Valentine
-Einstein and Barbarossa - Lateral Velocity Distribution Models
-Shiono & Knight Model – SKM
✅ Optimization of SKM Parameters Using Measured Data & Genetic Algorithm (GA)
✅ Regression Line Fitting & Artificial Neural Network (ANN) Training for More Accurate Flow Estimation
Sediment Load Estimation #
✅ Bed Load Discharge Estimation Using 56 Sediment Transport Formulas
✅ Suspended Load Discharge Estimation Using 15 Sediment Transport Formulas
✅ Total Load Discharge Estimation Using 22 Sediment Transport Formulas
Additional Hydraulic Features #
✅ Equipped with 17 Different Methods for Shear Stress Estimation at the Riverbed
✅ Equipped with 39 Methods for Determining Threshold of Sediment Motion for Uniform Sediments & 6 Methods for Non-Uniform Sediments
✅ Equipped with 22 Different Methods for Fall Velocity Calculation
✅ Utilizes Genetic Algorithm to Find the Best Combination of Models for Enhancing Calculation Accuracy
✅ Estimating Lateral Sediment Load Distribution
✅ Computational Error Assessment, with Reports on Each Method & Recommendation of the Best Method for the Rivers
Accuracy Enhancement in Sediment Load Estimation Using: #
1️⃣ Calibration Coefficients
2️⃣ Merging Sediment Transport Formulas to Develop a More Accurate Method
3️⃣ Equation Refinement & Modification
4️⃣ Training Artificial Neural Networks (ANNs) to Estimate Average Sediment Load and Lateral Distribution
