Metadata Name Descriptions
Resource Name: SALINITY_PROVINCES
Title: Salinity Provinces of Victoria
Anzlic ID: ANZVI0803005601
Custodian:
Abstract:
Salinity Provinces (SPs) provide a framework for describing land and water (both surface and groundwater) salinity in Victoria. These are specific geographic areas where the landscape setting and physical processes contributing to salinity are similar, and where salinity management options are also similar. Each Province contains discrete salinity impacted areas where there is a concentration or higher incidence of land and/or water salinisation, which may or may not have been mapped. This may be primary or secondary salinity, the development of which can be explained by a particular landscape setting, groundwater process or most commonly, Groundwater Flow System(s) (GFS(s)).

The soil salinity mapping used to help delineate the SPs does not cover the Irrigation Regions of the State. In these areas, depth to watertable and watertable salinity mapping has been used to convey the threat of high watertables on soil waterlogging and/or soil salinisation. This information is yet to be included in the individual SP pages on Victorian Resources Online but links to existing maps have been added where appropriate.

More information on the Salinity Province Mapping can be found on Victorian Resources Online website:  http://vro.agriculture.vic.gov.au/dpi/vro/vrosite.nsf/pages/lwm_salinity-provinces
Search Words: Inland watersFarmingGeoscientific information
Publication Date: 01 February 2018
Dataset Status: Victoria Completeness Verification: .
Progress: Completed
Access Constraint:
Creative Commons Attribution 4.0 (CC-BY) ( License Text )
No access constraints
Data Existence:
Metadata Name Descriptions
Resource Name: SALINITY_PROVINCES
Title: Salinity Provinces of Victoria
Anzlic ID: ANZVI0803005601
Custodian:
Owner:
Jurisdiction: Victoria
Abstract:
Salinity Provinces (SPs) provide a framework for describing land and water (both surface and groundwater) salinity in Victoria. These are specific geographic areas where the landscape setting and physical processes contributing to salinity are similar, and where salinity management options are also similar. Each Province contains discrete salinity impacted areas where there is a concentration or higher incidence of land and/or water salinisation, which may or may not have been mapped. This may be primary or secondary salinity, the development of which can be explained by a particular landscape setting, groundwater process or most commonly, Groundwater Flow System(s) (GFS(s)).

The soil salinity mapping used to help delineate the SPs does not cover the Irrigation Regions of the State. In these areas, depth to watertable and watertable salinity mapping has been used to convey the threat of high watertables on soil waterlogging and/or soil salinisation. This information is yet to be included in the individual SP pages on Victorian Resources Online but links to existing maps have been added where appropriate.

More information on the Salinity Province Mapping can be found on Victorian Resources Online website:  http://vro.agriculture.vic.gov.au/dpi/vro/vrosite.nsf/pages/lwm_salinity-provinces
Search Words: Inland watersFarmingGeoscientific information
Purpose:
                        
Geographic Extent Polygon:


Geographic Bounding Box:
-34
141 150
-39
Beginning to Ending Date: 2010-01-01 - 2016-01-01
Maintainence and Update Frequency: Irregular
Stored Data Format:
Available Format(s) Types: DIGITAL - All major formats available
Positional Accuracy:
The planimetric accuracy attainable will be the sum of errors from three sources:the positional accuracy of the source material, errors due to the conversion process, errors due to the manipulation process.  For topographic base derived data this represents an error of 8.3m on the ground for 1:25,000 data. A conservative estimate of 10m for the standard deviation will be used in any data quality information.  Alternate and equal ways of expressing this error are: not more than 10% of well-defined points will be in error by more than 16 m.  The worst case error for the data is +/- 30 m. For vertical positional accuracy of points determined from contours there is an expectation that the elevation accuracy (standard deviation) will be half the value of the contour interval.
Attribute Accuracy:
The allowable error in attribute accuracy ranges between a 1% allowable error to 5% error.  For this product attribute accuracy ranges between a 1% to 5% error.  For this product attribute accuracy is a measure of the degree to which features and attribute values of spatial objects agree with the information on the source material.
Logical Consistency:
The allowable error in attribute accuracy ranges between 1% to 5% error.  Logical consistency is a measure of the degree to which data complies with the technical specification.  The test procedures are a mixture of scripts, microstation MGE program and on-screen visual checks.
Data Source:
Dataset Source: The dataset was produced by the Agriculture research Division of the Dept of Economic Development (formerly Dept Primary Industries). The soil salinity mapping used to help delineate the SPs does not cover the Irrigation Regions of the State. In these areas, depth to watertable and watertable salinity mapping has been used to convey the threat of high watertables on soil waterlogging and/or soil salinisation.

Dataset Originality: Derived
Contact Organisation:
Contact Position:
Address:
Telephone:
Facsimile:
Email Address:
Metadata Date: 2019-05-14
Additional Metadata:
                            
                              Related Documents: None
                            
                          
Column Name Obligation Unique Data Type Reference Table Comments
SUR_GEOLGY O N VARCHAR2
PROV_NO O N NUMBER
OTHER_LOC O N VARCHAR2
SAL_ARA_HA O N NUMBER
IN_IRR_DST O N VARCHAR2
GFS O N VARCHAR2
GMU_1ST O N NUMBER
STR_INFL O N NUMBER
AREA_HA O N NUMBER
AREA_KM2 O N NUMBER
CMA_ABBREV O N VARCHAR2
PROV_NAME O N VARCHAR2
PROV_PRITY O N VARCHAR2
IRR_DST_NM O N VARCHAR2
CMANAME O N VARCHAR2
PCT_AR_SAL O N NUMBER
GMU O N VARCHAR2