Murray–Darling Basin
18.3 Discharge to landscape

Supporting information

The volumetric value for the line item for the 2012–13 year was 2,733,597 ML. The line item represents discharge from aquifers to landscape that includes soil, unconnected lakes and wetlands. The following tables provide detailed volumetric information for the line Item.


Details of groundwater discharge to landscape in the Murray–Darling Basin region during the 2012–13 year
Groundwater resource plan area

Groundwater sustainable diversion limit area

State

 Volume for the 2012–13 year (ML)

Code

Name

GW15 Gwydir Alluvium GS24 Lower Gwydir Alluvium  NSW 19,076
GW14 Namoi Alluvium GS40 Peel Valley Alluvium NSW 875
GS47 Upper Namoi Alluvium NSW 14,982
Sub-total Northern Basin 34,933
GW10 Lachlan Alluvium GS25 Lower Lachlan Alluvium  NSW 8,270
GS44 Upper Lachlan Alluvium NSW 24,707
GW9 Murrumbidgee Alluvium GS28 Lower Murrumbidgee Alluvium (shallow; Shepparton formation) NSW 41,368
GS31 Mid-Murrumbidgee Alluvium NSW 13,208
GW8 Murray Alluvium GS27 Lower Murray Alluvium (shallow; Shepparton formation)  NSW 458,487
GS46 Upper Murray Alluvium NSW 154
GW2 Goulburn–Murray GS8 Goulburn–Murray (Ovens–Kiewa sedimentary plain)  Vic. 14,618
GS8 Goulburn–Murray (Victorian Riverine sedimentary plain) Vic. 957,059
GW3 Wimmera–Mallee (groundwater) GS9 Wimmera–Mallee (sedimentary plain)  Vic. 1,119,081
GW5 Eastern Mount Lofty Ranges GS01 Angas Bremer (Quaternary sediments and Murray Group limestone) SA 4,694
GW4 SA Murray Region GS03 Mallee (Pliocene Sands and Murray Group limestone) SA 34,397
GS05 Peake–Roby–Sherlock (unconfined and confined) SA 22,621
Sub-total Southern Basin 2,698,664
Total for the region 2,733,597



Sustainable diversion limit (SDL) areas other than those included in the detail table exist and may be relevant to the line item; however, relevant information was not available for the 2013 Account.

Quantification approach

Data source

 (1) NSW Office of Water: inputs to the New South Wales groundwater models draw from knowledge of the hydrogeology and surface water processes and outputs from same models for sustainable diversion limit (SDL) areas Lower Lachlan Alluvium, Lower, and Mid-Murrumbidgee Alluviums and Upper Namoi Alluvium; (2) for the other SDL areas: (a) Bureau of Meteorology (the Bureau): National Climate Centre (NCC) daily climate grids (rainfall, temperature, vapour pressure and solar radiation), (b) Australian soil resources information system (ASRIS): soil data, and (c) Australian Bureau of Agricultural and Resource Economics and Sciences: land-use data.

Provided by

The Bureau; NSW Office of Water.

Method

The Bureau method (For SDL areas other than Lower Lachlan Alluvium, Lower and Mid Murrumbidgee Alluviums and Upper Namoi Alluvium)

Groundwater discharge was estimated along with diffuse groundwater recharge using the water atmosphere vegetation energy and solutes (WAVES) model (Zhang and Dawes 1998; Dawes et al. 1998). In the recharge calculations, depth to watertable was considered for all regions where the depth to watertable was shallow. A shallow watertable was assumed to be where the depth to watertable was 4 m or less below the ground surface. The shallow water table was interpolated using kriging with an external drift and the 9" digital elevation model as a physical constraint  following the methodology presented in Peterson et al. (2011). Where the watertable was not shallow, free drainage conditions were assumed.

For SDL areas with a shallow watertable, the model may produce a net discharge from groundwater over the calculation period.

New South Wales groundwater models method (For SDL areas Lower Lachlan Alluvium, Lower and Mid- Murrumbidgee Alluviums and Upper Namoi Alluvium)

Discharge was calculated for selected SDL areas by applying New South Wales groundwater models where the MODFLOW (USGS 2013) evapotranspiration routines were activated to represent groundwater discharge.

Assumptions, limitations, caveats and approximations

The Bureau method:

  • The assumptions made in developing the WAVES model as described in Dawes et al. (1998) were all applicable to the discharge estimations carried out for this line item.

  • The national land use grid (Australian Bureau of Agricultural and Resource Economics and Sciences 2010) was reclassified to three vegetation classes that include annuals, perennials, and trees.  The major vegetation classes modelled were C3 annual pasture, C3 perennial pasture and eucalypt trees with a grass understorey for SDL areas to the south of 31oS, and C4 annual pasture, C4 perennial pasture and eucalypt trees with a grass understorey for the SDL areas to the north of 31oS.

  • Annual discharge was estimated using a shallow watertable surface estimated by interpolating measured groundwater levels.

New South Wales groundwater models:

  • Groundwater models make many assumptions and approximations to represent water balance (refer to the United States Geological Survey website for more details).

Uncertainty information

The uncertainty estimate was not quantified.

For the Bureau method, the uncertainty in the input parameters and the corresponding impacts on the modelled discharge values were not studied and the uncertainty of the estimated discharge resulting from different interpolation methods was not estimated.

For New South Wales groundwater models, uncertainty of a discharge estimate was not evaluated for the groundwater models.

Comparative year

A prior period error and a change made to the calculation method resulted in the restatement of the 2011–12 year volume. The respective volumes associated with the change are detailed in the following table.

Restatement of comparative year information made for the line item 18.3 Discharge to landscape 
Segment

2013 Account volume for the 2011–12 year (ML)

2012 Account volume for the 2011–12 year (ML)

Difference due to a prior period error and calculation method change  (ML)

Northern Basin

7,104

7,104

0

Southern Basin

2,511,257

610,649

1,900,608

Whole region

2,518,361

617,753

1,900,608

The volume estimated for the comparison year for the 2013 Account is higher than the volume reported for the 2012 Account. This was due to the following reasons:

  • There was a prior period error in the line item volume reported in the 2012 Account. The prior period error was a result of using solar radiation data with bias correction errors. Solar radiation is an input for line item volume calculation.
  • The difference between the previously reported volume and the estimate produced for the comparison year can be partly attributed to the choice of different bore hole locations for measured groundwater levels (data from same set of bore holes used in the 2012 Account were not available for calculations).