• HECRAS geometry file and .CSV HECRAS output file.

Hydraulic Analysis module, Time Series Analysis module: Time series data in a range of formats. Must be daily time step and gap-free.

Time Series Manager Module:
• Time series data in a range of formats. Accepts hourly, daily,weekly, seasonal, monthly and annual series. May contain gaps. Can import rating curves generated in the Hydraulic Analysis module.

File Formats

More information about file formats supported by this application can be found in the Toolkit Data Files guide.

• Visualisation of cross-sections and long section under different flows
• Functions relating hydraulic parameters to flows
• Creation of rating curves of hydraulic parameters
• Transformation of time series of flows into time series of hydraulic parameters

• Visualisation of Time Series data
• Range of Statistical analysis techniques with tabular and visual output

• Time series gap diagnosis and filling
• Time series calculations
• Rating curve editing and time series transformation
• Time Step changes

• Visualisation
• Text report (RTF format).

Daily flow data in the Hydraulic Analysis and Time Series Analysis modules must be free of missing data. Gap fillng tools are available in the Time Series Manager module. Users planning to construct a one-dimensional hydraulic model of the river channel must have some training in river hydraulics or get assistance with this part of their project. Most water resources or river engineering consulting companies will have the expertise to develop a one-dimensional model for natural river channels.

Interface Testing

Throughout each of the RAP workshops we have had a software developer observing the way that users interact with the RAP interface. Based on the report of this interaction we have reviewed and updated interface features accordingly to make navigation more intuitive.

Algorithm Testing

RAP has undergone thorough testing of the numerical computations. We have conducted long-hand calculations of every computation using a range of actual and simulated time series data. We have invested approximately 500 hrs in algorithm testing and refinement to date, and will continue to test any new algorithms included in RAP. Our basic procedure for algorithm testing is to release a beta version which has been tested with a limited number of data sets. During the beta phase of each module we thoroughly test the algorithms with many different types of data sets and only produce a version 1 release when we cannot find computational or interface bugs. Additional computational or interface bugs may arise from time to time, largely due to a type of dataset or application that we had not invisaged. If you are not confident in any of the output from RAP, please let us know so that we can conduct long-hand calculations on your particular data set.