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Updated: Aug 1, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Near surface water balance in the Northern Murray-Darling Basin
R W Vervoort1, M Silburn, M Kirby
1Australian Cotton Cooperative Research Centre, Narrabri, NSW 2390, Australia.
Deep drainage, a key factor in salinity, is now recognized as substantial under irrigated agriculture in the Northern Murray-Darling Basin, despite previous assumptions. Further research is needed to reduce uncertainties in water balance calculations.
Area of Science:
- Hydrology
- Environmental Science
- Agricultural Science
Background:
- Deep drainage is a critical component of the hydrological cycle.
- Deep drainage has been historically linked to salinity outbreaks in dryland and irrigated areas.
- Previously, deep drainage was underestimated in the Northern Murray-Darling Basin's alluvial plains.
Purpose of the Study:
- To assess the current understanding of water balance in the Northern Murray-Darling Basin.
- To highlight the significance of deep drainage under irrigated agriculture.
- To identify the need for comprehensive measurements of water balance components.
Main Methods:
- Utilizing water balance calculations and simulation studies.
- Considering catchment-scale factors like land use, groundwater connection, and prior streams.
- Analyzing potential sources of uncertainty in measurements and calculations.
Main Results:
- Recent studies indicate substantial deep drainage occurs under irrigated agriculture in the region.
- Estimates of deep drainage are subject to significant uncertainties due to measurement and spatial variability.
- Catchment-scale factors are crucial for accurate assessment.
Conclusions:
- There is a critical need for a concerted effort to measure all water balance components in the Northern Murray-Darling Basin.
- Understanding deep drainage is essential for managing salinity and its impact on shallow groundwater quality and levels.
- Further research is required to reduce uncertainties and improve the accuracy of water balance models in this region.
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