Chemical Baseflow Separation

dataset: CHEM_BASEFLOW
This dataset consists of sections of rivers which have been interpreted as gaining, neutral-losing or variable. The interpretation is based on chemical baseflow separation using chloride and radon.
 
Citation proposal Citation proposal

(2013)

Chemical Baseflow Separation

Monash University

Description

Title
Chemical Baseflow Separation 
Alternate title
CHEM_BASEFLOW 
Supplemental Information
Related Documents: None Please refer to the metadata for the Chemical Baseflow Separation - Sampling Locations dataset. 
Status
Completed 
 
 

Spatial

Code
4283 
 
 

Maintenance

Maintenance and update frequency
As needed 
 
 

Format

Title
DIGITAL: ESRI File Geodatabase 10 
 
 

Contacts

  Point of contact

Cited responsible party

No information provided.

Cited responsible party

No information provided.

Cited responsible party

No information provided.
 
 

Keywords

Topic category
  • Inland waters
  • Geoscientific information
 
 

Constraints

Use limitation
General 
Classification
Unclassified 
License type
DELWP Data License 
Website
 

License Text

License type
Restricted 
 
 

Lineage

Statement
Dataset Source: Samples were collected at a number of sites along the Avon, Tambo, Nicholson, Mitchell, Ovens and Gellibrand Rivers. Baseflow conditions were estimated using chloride and radon and each river reach (between each sampling location) classified as gaining, neutral-losing or variable. These conditions are only representative of conditions at the time of sampling only. In the attribute table, gaining has been assigned to most sections of the rivers; neutral-losing to sections experiencing neutral or losing conditions (chemical baseflow separation does not allow differentiation of neutral or losing sections); variable to sections which are experiencing gaining and neutral/losing conditions which vary widely over time due to both changeable flow and groundwater conditions, and; no data where no data has been obtained and interpolation between upstream and downstream has consequently not been possible. Dataset Originality: Derived 
 
 

Metadata Constraints Metadata Constraints

Classification
Unclassified 
 
 

Quality

Attribute Quality
Comments
Not known 
 
Positional Accuracy
Comments
Not known 
 
Conceptual Consistency
Comments
Not known 
 
Missing Data
Comments
Victoria 
 
Excess Data
 
 

Overviews

Graphic Overview of Data Footprint


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