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Murray-Darling Basin Acid Sulfate Soils Risk Assessment Project reports
The purpose of the Murray–Darling Basin Acid Sulfate Soils Risk Assessment Project was to determine the spatial occurrence of, and risk posed by, acid sulfate soils at priority... -
Inter-annual variability of wet season freshwater plume extent into the Great...
Riverine freshwater plumes are the major transport mechanism for nutrients, sediments and pollutants. This paper explores using a physics based model using non-algal particulate... -
Shallow Groundwater in the Shepparton Irrigation Region
A website developed by Goulburn Broken Catchment Management Authority to: 1. Provide landholders and farmers in the Shepparton Irrigation Region information about the status of... -
2024 River Reflections Conference
Water management in the Basin relies on a partnership between governments, industries and communities. Launched in June 2021, River Reflections provides an opportunity for all... -
Media article: Salinity Survey by Air
This dataset has no description
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A thriving Murray-Darling Basin in 50 years
The Thriving Murray-Darling Basin project explores what is needed in the Basin for a resilient, healthy and sustainable river system and a thriving, resilient community in the... -
Shepparton Irrigation Region Groundwater Levels
This interactive map shows groundwater tables at individual monitoring bores in the Shepparton Irrigation Region from the mid/late 2000s to the present. -
Bioregional Assessments
Bioregional assessments are world-first science-based studies that developed detailed, multi-layered records of the environment and provided a comprehensive suite of baseline... -
Salinity and soil health
Salinity and soil health: the key indicators to look for if salt is an issue on your farm. Episode of Seeds for Success podcast. -
Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Sim...
This study further develops the LSG model to simulate water depth as well as flood extent and demonstrates its efficacy as a surrogate for a high-resolution hydrodynamic model... -
Conservation triage framework for wetlands
The Dammed and the Saved: a Conservation Triage Framework for Wetlands under Climate Change in the Murray–Darling Basin, Australia: We developed a framework for conservation... -
Modeling Subsurface Hydrology in Floodplains
We present a model, HaughFlow, which is able to predict coupled water movement in the vadose and phreatic zones of hydraulically connected floodplains. Model output was... -
Murray-Darling Basin floodplain vegetation mapping
Eco Logical Australia (ELA) was commissioned by the Murray Darling Basin Authority (MDBA) to map the distribution of plant community types (PCTs) within a large section of the... -
Wetlands GIS of the Murray-Darling Basin
Wetlands greater than 5ha were identified using a combination of an unsupervised classification of spectral classes of Landsat MSS imagery and ancillary wetland information to... -
Methods to assess environmental flow and groundwater management scenarios
Methods to assess environmental flow and groundwater management scenarios for floodplain tree health in the Lower River Murray: this thesis investigates the major causes of... -
Adaptive Management of Return Flows
Adaptive Management of Return Flows: Lessons from a Case Study in Environmental Water Delivery to a Floodplain River Environmental return flows (the managed delivery of wetland... -
Aquatic ecosystems toolkit
Nationally agreed framework that provides a set of good practice tools provided by the Commonwealth Environmental Water Holder. Supports mapping, classifying and assessing the... -
BASIN SALINITY MANAGEMENT STRATEGY-SOUTH AUSTRALIA’S ANNUAL REPORT 2014-15
BASIN SALINITY MANAGEMENT STRATEGY SOUTH AUSTRALIA’S ANNUAL REPORT 2014-15 -
Basin Salinity Management 2030 - South Australia’s Status Report 2015-16
Basin Salinity Management 2030 - South Australia’s Status Report 2015-16 -
BASIN SALINITY MANAGEMENT 2030 SOUTH AUSTRALIA’S BIENNIAL REPORT 2017
BASIN SALINITY MANAGEMENT 2030 SOUTH AUSTRALIA’S BIENNIAL REPORT 2017