Canberra
27.1 Off-channel water storages

This line item refers to the volume of water stored in off-channel water storages within the Canberra region.

Volume of water stored in off-channel water storages in the Canberra region

Off-channel storages – for surface water	Volume (ML)
Bendora catchment	28
Canberra downstream	6,557
Corin catchment	4
Cotter catchment	9
Googong catchment	1,406
Total	8,004

Bureau of Meteorology: National Climate Centre daily climate grids (rainfall, temperature and solar radiation); Commonwealth Scientific and Industrial Research Organisation (CSIRO): Australian water resources assessment-landscape (AWRA-L) model parameters, and monthly climatological average radiation grid data. Geoscience Australia: mapping of humanmade waterbodies in the Murray-Darling Basin spatial dataset, built up areas spatial dataset and 9 arc-second Digital Elevation Model (DEM).

Bureau of Meteorology.

The STEDI (Sinclair Knight Merz 2011) model was used to determine the volume of water stored in off-channel water storages. The model was provided inputs in the for of climate from gridded climate datasets, runoff from the AWRA-L 1.0.0 model (Van Dijk, 2010) and dam details derived from spatial data.

The Canberra region was divided up into five subregions for the purpose of estimating the water balance of the private store. The four of the subregions were the catchments of the major storages and the fifth was the remaining land.

The private store consisted of off-channel storages filled primarily by rainfall-runoff. These were determined from waterbody mapping provided by Geoscience Australia and were waterbodies that were greater than 50 m from built-up areas in the Canberra region. The catchment of each individual storage was determined via analysis of the 9 arc-second DEM.

The STEDI model performs a water balance on each individual storage at each time step using runoff and precipitation as inflows and spills, evaporation and usage as outflows. The volume of water held in storage is an output of this water balance.

• The gridded climate input data are subject to approximations associated with interpolating observation point data to a national grid detailed in Jones et al. (2007).
• The estimated volume available in storage for evaporation is subject to the assumptions associated with the STEDI model and the parameters used.
• The spatial extent of waterbodies are subject to the assumptions and methods associated with the data provided by the Geoscience Australia.

The uncertainty estimate was not quantified.