River Analysis Package
The River Analysis Package (RAP) contains a suite of tools for analysing the hydrology and hydraulics of a river and their relationship to ecology (Stewardson and Marsh, 2004). This section contains a summary of the tools within RAP. Most of the tools can be integrated with Source through the Plugin Manager.
Location in Source:Tools > Plugins > RAP > .
The stand-alone RAP tools and accompanying user guides are available from www.toolkit.net.au/RAP.
Hydraulic Analysis module
The Hydraulic Analysis (HA) module of the River Analysis Package (RAP) is based on the Flow Events Method (Stewardson and Gippel, 2003) of allocating environmental flows. The HA module allows you to construct a one dimensional hydraulic model of a river reach and to determine ecologically-relevant flow thresholds based on hydraulic parameters such as water depth and velocity.
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The main output from the hydraulic analysis module is a time series of hydraulic parameters.
Time Series Analysis module
The Time Series Analysis (TSA) module of the River Analysis Package (RAP) allows you to investigate time series.
Plugin file: C:\Program Files\eWater\Source version\Plugins\Ecology.RAP.TSA.dll
Location in Source: Tools > Plugins > TSA > <name of RAP tool>
TSA is an interpretive tool. Its input must be daily time series, as it is designed for stream flow data, but can equally be used for hydraulic time series or meteorological data. The algorithms underlying TSA are used by the Rules Based Models (RBM) module and Quantitative Models (QM) module of RAP to predict biological responses to alternate flow scenarios.
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- Comma delimited (.CSV) with the first column a daily time-step date and subsequent column(s) as data; and
- IQQM-standard output format from the Integrated Quality, Quantity Model produced by the New South Wales Department of Land and water Conservation.
See File formats for more information.
The basic time unit of TSA is daily, however sub-daily, monthly, seasonal and annual time series can also be handled by TSA. Time series must be gap-free (ie no empty cells if viewed in a spreadsheet). As well as a visual output, TSA provides tabulated numeric output that can be saved as a comma-delimited file for input into other post processing statistical packages.