Murray–Darling Basin
10.3 Recharge from landscape

Supporting information

The volumetric value for the line item for the 2012–13 year was 1,539,098 ML. The following table provides detailed volumetric information for the line item. 

 

Details of groundwater recharge from landscape in the MDB region during the 2012–13 year
Groundwater resource plan area

Groundwater sustainable diversion limit area

State

Type of recharge

 Volume (ML) for the 2012–13 year 

Data source

Code

Name

GW21 Condamine–Balonne GS64 and GS65 Upper Condamine Basalt, Upper Condmine Alluvium (Central Condamine Alluvium  and Tributaries) Qld. rainfall recharge

299,081

Bureau 
GW15 Gwydir Alluvium GS24 Lower Gwydir Alluvium  NSW rainfall recharge

28,097

NSW models
irrigation recharge

7,920

NSW models
GW14 Namoi Alluvium GS29 Lower Namoi Alluvium NSW rainfall recharge

81,581

NSW models
GS40 Peel Valley Alluvium NSW rainfall recharge

1,237

NSW models
irrigation recharge

1,551

NSW models
GS47 Upper Namoi Alluvium NSW rainfall recharge

73,436

NSW models
irrigation recharge

13,698

NSW models
GW12 Macquarie–Castlereagh Alluvium GS26 Lower Macquarie Alluvium NSW rainfall recharge and irrigation channel 

20,185

NSW models
irrigation recharge

19,318

NSW models
Sub-total Northern Basin

546,103

 
GW 10 Lachlan Alluvium GS25 Lower Lachlan Alluvium  NSW rainfall recharge

64,890

NSW models
irrigation recharge

4,790

NSW models
GS44 Upper Lachlan Alluvium NSW rainfall recharge

17,786

NSW models
irrigation recharge

9,486

NSW models
GW 9 Murrumbidgee Alluvium GS28 Lower Murrumbidgee Alluvium (shallow; Shepparton formation) NSW rainfall recharge

43,392

NSW models
irrigation recharge

36,556

NSW models
GS31 Mid-Murrumbidgee Alluvium NSW rainfall recharge

10,940

NSW models
irrigation recharge

126

NSW models
GW8 Murray Alluvium GS27 Lower Murray Alluvium, shallow; Shepparton formation  NSW rainfall recharge

114,753

Bureau 
GS46 Upper Murray Alluvium NSW rainfall recharge

14,050

Bureau 
GW2 Goulburn–Murray GS8 Goulburn-Murray (Ovens–Kiewa sedimentary plain)  Vic. rainfall recharge

92,814

Bureau 
GS8 Goulburn-Murray (Victorian Riverine sedimentary plain) Vic. rainfall recharge

237,387

Bureau 
GW3 Wimmera–Mallee (groundwater) GS9 Wimmera–Mallee (sedimentary plain)  Vic. rainfall recharge

273,693

Bureau 
GW5 Eastern Mount Lofty Ranges GS01 Angas Bremer (Quaternary sediments and Murray Group limestone) SA rainfall recharge

10,918

Bureau 
GW4 SA Murray Region GS03 Mallee Murray Group limestone SA rainfall recharge

36,655

Bureau 
GS05 Peake–Roby–Sherlock (unconfined) SA rainfall recharge

24,759

Bureau 
Sub-total Southern Basin

992,995

 
Total for the region

1,539,098

 
1 Bureau = Bureau of Meteorology; NSW models = New South Wales models


Sustainable diversion limit (SDL) areas other than those included in the 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) Bureau of Meteorology (the Bureau): National Climate Centre daily climate grids (rainfall, temperature, vapour pressure and solar radiation); (2) Australian soil resources information system: soil data; (3) Australian Bureau of Agricultural and Resource Economics and Sciences: land-use data; and (4) 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.

Provided by

The Bureau and NSW Office of Water.

Method

For the SDL areas for which 'Data source' is shown as  the Bureau in the table

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

For the SDL areas for which 'Data source' is shown as New South Wales models in the table

Recharge volumes were calculated for selected SDL areas applying New South Wales groundwater models based on MODFLOW (United States Geological Survey 2013) modelling process.

Groundwater recharge is both an input to and, an output from, a groundwater model. There is no single method for estimating recharge used in the New South Wales groundwater models; however, several models estimate recharge as a percentage of rainfall. The magnitude of recharge (as a percentage of rainfall) can be adjusted during the calibration of a groundwater model so that the observed groundwater levels are reproduced in model outputs as accurately as possible, typically for a period of around 20 years if data are available.

Assumptions, limitations, caveats and approximations

The Bureau:

  • The assumptions made in developing the WAVES model as described in Dawes et al. (1998) were all applicable to the recharge estimations carried out for the MDB region.

  • 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 31 oS and C4 annual pasture, C4 perennial pasture and eucalypt trees with a grass understorey for the SDL areas to the north of 31 oS.

  • Annual recharge was estimated using a shallow water table surface estimated by interpolating measured groundwater levels.

New South Wales groundwater models:

  • Groundwater models make many assumptions and approximations to represent water balance (United States Geological Survey 2013).

  • Several of the New South Wales groundwater models assume estimation of recharge volume as a percentage of rainfall.

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 recharge values were not studied.

  • The uncertainty of the estimated recharge resulting from different recharge interpolation methods was not estimated.

For New South Wales groundwater models:

  • Uncertainty of a recharge estimate is 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 10.3 Recharge from 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

254,547

254,547

0

Southern Basin

2,871,380

2,878,644

(7,264)

Whole region

3,125,927

3,133,191

(7,264)

The volume estimated for the comparison year for the 2013 Account is lower 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).