Contacts

Identifiers and Keywords

ANZLIC Id

ANZVI0803004986 

Jurisdiction

Victoria 

Topic category

• Inland waters
• Geoscientific information

Resource Constraints

Use limitation

General 

Classification

Unclassified  

Other Dataset Details

Date ( Revision )

2013-11-25

Status

Completed  

Format

DIGITAL: ESRI GRID, ESRI Shapefile 3 

Supplemental Information

Related Documents: None See Geoscience Australia metadata record at: https://www.ga.gov.au/products/servlet/controller?event=GEOCAT_DETAILS&catno=71607 

Maintenance and update frequency

Not planned  

Spatial

Spatial representation type

Grid  

Description

General - Victoria 

Reference system identifier

4283

N

S

E

W

Temporal

Begin date

unknown  

End date

unknown  

Quality

Conceptual Consistency

Not Known 

Missing Data

Victoria 

Attribute Quality

Not Known 

Positional Accuracy

Not Known 

Lineage

Description

See above 

Statement

Dataset Source: This dataset has been extracted for Victoria from a database of approx. 4400 recharge and/or deep drainage estimates collated from 172 studies. Crosbie et al. (2010B) used a sub-set of data from this database to determine whether simple empirical relationships could be found that relate groundwater recharge to nationally available datasets and hence whether they can be used to estimate recharge in data poor areas in a scientifically defensible way. It was found that vegetation and soil type were critical determinants in forming relationships between average annual rainfall and average annual recharge, whereas climate zones (Köppen-Geiger climate classification and aridity index) and surface geology (lithology) were not found to be significant determinants. The MOLR further simplified the relationships developed by Crosbie et al. (2010B) by combining the perennial and tree vegetation types due to a lack of data under these vegetation types. The soils groupings used by Crosbie et al. (2010B) have been retained for the MOLR, these are: Vertosols (VE); Calcarosols (CA), Chromosols (CH), Kurosols (KU) and Sodosols (SO); Podosols (PO); Rudosols (RU), Kandasols (KA) and Tenosols (TE); Ferrosols (FE), Dermosols (DE), Hydrosols (HY) and Organosols (OR). No estimate of recharge is possible using the MOLR from the last soils group (FE,DE,HY,OR) due to a lack of field studies required to develop the relationships. The relationships that were developed between recharge and mean annual rainfall, soil order and vegetation type used a two parameter regression model R =10^aP+b where a and b are the fitting parameters from a least squares regression between annual average rainfall (P) and the logarithm of annual average recharge (R). For more information on the relationship observed in the outputs from average annual rainfall and average annual recharge for the combination of soil and vegetation groups, the reader is referred to Section 2.3.3 in the document: http://www.clw.csiro.au/publications/waterforahealthycountry/2011/wfhc-recharge-discharge-scientific-guide.pdf. Dataset Originality: Derived 

About the Metadata Record

Metadata identifier

12a97dfc-621e-5d79-8ce8-43caf2466193

Resource Type

Dataset  

Date info ( Revision )

2013-11-25

Standard Name

ISO 19115-3:2018 

Profile Name

DELWP Profile 

Profile Version

Version 1 

Profile Date

2019-05-24  

Metadata Constraints

Classification

Unclassified