Commonwealth Scientific and Industrial Research Organisation
Type of resources
This dataset (and the derivative 95% confidence interval for upper and lower datasets) were created by CSIRO and provides a spatial coverage of estimates of the long term average annual recharge across Victoria. It is based upon regression equations between soil order, vegetation type and long term average annual rainfall. More details on the method used to estimate this dataset are provided in the report: Leaney et al (2011) Recharge and discharge estimation in data poor areas: Scientific reference guide. CSIRO: Water for a Healthy Country National Research Flagship.
This dataset comprises baseflow indices that were derived as part of two separate projects undertaken for the MDBA and DSE. The MDBA (2010) Baseflow assessment for the Murray-Darling Basin prepared by SKM and CSIRO. CSIRO: Water for a Healthy Country National Research Flagship. The background report for this information can be found at: http://www.mdba.gov.au/files/bp-kid/1052-Baseflow-assessment-for-MDB.pdf. The DSE (2002) Estimation of Sustainable Diversion Limit Parameters over winterfill periods in Victorian Catchments (prepared by SKM).
Surface-groundwater interactions were mapped as part of the Murray-Darling Basin (MDB) Sustainable Yields Project. This mapping represents a snapshot in time of fluxes to or from major rivers across the Murray-Darling Basin. The regions where connectivity mapping was conducted were: Loddon-Avoca, Campaspe, Goulburn-Broken, Ovens, Murray, Murrumbidgee, Lachlan, Macquarie-Castlereagh, Namoi, Gwydir, Border Rivers, Condamine-Balonne and Barwon-Darling. This dataset includes the qualitative mapped results of the rivers within Victoria and indicates where river reaches are gaining/losing/seasonally varying in nature. An overview report that describes the method used to undertake the surface-groundwater interaction mapping can be found at http://www.clw.csiro.au/publications/waterforahealthycountry/mdbsy/technical/R-SW-GW-Connectivity.pdf.
The chloride deposition dataset was originally created by taking observational chloride in rainfall data from 291 sites across Australia and interpolating it to form a gridded data set at a resolution of 0.05° x 0.05° for the region of Australia. This dataset (and the derivative 95% confidence interval for upper and lower datasets) were created by CSIRO.