Sustainable Diversion Limits
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Sustainable Diversion Limits

dataset: SDL_CATCH
Sustainable Diversion Limits (SDL) have been developed across Victoria and represent the upper limit on winterfall diversions, beyond which there is an unacceptable risk that additional extractions may degrade the environment. Combined with the volume of current extractions the SDL provides water managers with volume of available water in catchments across Victoria.
 
Citation proposal Citation proposal

(2015)

Sustainable Diversion Limits

Department of Environment, Land, Water & Planning

https://dev-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/01b193c2-8e35-5f24-a924-e1e333d34daa
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Constraints
  • Lineage
  • Metadata Constraints Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
  • Raster Type Details
  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

Description

Title
Sustainable Diversion Limits 
Alternate title
SDL_CATCH 
Credit
SKM 
Supplemental Information
History: SKM Current Design Issues: The layer only contains the spatial attributes and the Basin Number. All associated attributes are contained in the SDL_DATA table which is a copy of the latest SDL_YYYYMMDD table (this assists with updating as it can be done automatically). Related Documents: None 
Status
Completed 
 
 

Spatial

Code
4283 
 
 

Maintenance

Maintenance and update frequency
As needed 
 
 

Contacts

  Point of contact

Department of Environment, Land, Water & Planning - RWMP Info RWMP   (RWMP Info)

Level 10 / 8 Nicholson St

East Melbourne

Vic

3002

Australia

Cited responsible party

No information provided.

Cited responsible party

No information provided.
 
 

Keywords

Topic category
  • Inland waters
 
 

Constraints

Use limitation
Data available to anyone. 
Classification
Unclassified 
Creative Commons Attribution 4.0 (CC-BY)
  • License Text
 
 

Lineage

Statement
Dataset Source: SKM Dataset Originality: Derived 
Description
Collection Method: SKM 
Description
SKM 
 
 

Metadata Constraints Metadata Constraints

Classification
Unclassified 
 
 

Quality

Attribute Quality
Comments
SKM 
 
Positional Accuracy
Comments
SKM 
 
Conceptual Consistency
Comments
SKM 
 
Missing Data
Comments
SKM Completeness Verification: SKM 
 
Excess Data
Comments
SKM 
 
 
 

Overviews

Graphic Overview of Data Footprint


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