STE is equipped with a primary database for storing hydrological information. It provides comprehensive data filtering capabilities based on all available parameters, as shown in the interface.

Advanced Data Selection & Filtering #
To ensure precise data selection, a dedicated data storage and management panel is available within the project file interface. Users can filter data based on the following parameters:
- Data ID
- River Name
- Station Name
- Sampling Year, Month, and Day
- Flow Discharge
- Bed Load Discharge
- Suspended Load Discharge
- Total Load Discharge
These filters enable users to quickly identify and select relevant datasets for analysis.
Statistical Methods for Improved Accuracy #
STE includes three advanced statistical methods for selecting data and improving regression curve fitting accuracy. Based on extensive research, these methods enhance sediment estimation precision when using fitted regression models.
Additionally, STE provides outlier detection and removal tools to increase reliability in sediment estimation calculations. These tools help refine datasets by eliminating anomalous or erroneous data points, ensuring robust and scientifically accurate results.