This feature will be released in version 6.2


This video provides an overview of the methods in an alpha version of this new tool.  We will update the documentation on the 6.2 release version below.

Sediment Rating Curve Challenges and Best Practices

Sediment data are usually noisy.  They tend to include a lot of uncertainty and natural variability.  But sediment models require modelers to summarize these data into more concrete inputs and trends that the model can use.  The two most common data analysis or summary tasks that users encounter include summarizing the flow-load data with a sediment rating curve and 

The Sediment Transport User Guide includes an extensive discussion of common data challenges encountered in the process of developing a sediment rating curve and analyses that modelers should do with their data before settling on a sediment relationship for their boundary conditions.  These are also summarized in this video:  


But the latest version of HEC-RAS includes a Sediment Rating Curve Analysis Tool that standardizes these analyses and provides simple tools to help sediment modelers and analysts think carefully about their data and develop quality relationships for model boundaries or sediment budgets.  The tool includes the following capabilities:




Import Sediment Data

The Rating Curve Analysis Tool can import data directly from the USGS website (for US users) or from standard csv formats.
Bias Correction

The tool provides two methods to rectify bias implicit to the log-transform regression used to develop sediment rating curves
Piecewise Linear

The tool includes new methods to fit "bent" rating curves to sediment data (e.g. for supply limited scenarios)
Stationarity

These are visualization methods to explore how sediment data change over time and fit rating curves to temporal sub-sets of the observations
Autocorrelation

Groups observations collected within a specified time window to avoid over-representing them and violating the independence assumption.
Hysteresis

Traces the temporal path of flow-load/conc data over a water year



Load-Gradation Trends
These tools help users visualize the load-gradation data and determine if there is a fining or coarsening trend tiwth flow.

Opening the Sediment Rating Curve Analysis Tool

Bias Correction

Piecewise Linear Two-Slope Regression