Improvements to the Dynamic SedNet model

The Dynamic SedNet model, which underpins Paddock to Reef catchment modelling, is implemented as a series of plugins to the eWater Source system. Independent reviews suggested Dynamic SedNet could be more efficiently implemented outside of eWater Source. This project, delivered by Yorb, and co-funded by the Department of Natural Resources, Mines and Energy, has developed an improved and independent implementation of Dynamic SedNet.


Coral reef system

Integrating paddock scale modelling and water Source models

This project improved the interface between agricultural systems modelling (paddock scale models) and catchment scale water resource/water quality Source models to inform Reef investment decisions and evaluate best management practice implementation effectiveness. Delivered by Alluvium, this project has improved the representation of daily constituent concentrations entering the Reef.

Read more

Water modelling

Development of an annotated catalogue of water models in use in government

This project, delivered by Griffith University, developed an annotated catalogue of the major water models in use by government. The QWMN Water Model Catalogue will serve as a reference for new users and non-experts and facilitate broader and appropriate use of water models in policy and decision-making, inside and outside government.

Read more

Enhanced eWater software to inform water resource planning

The eWater SOURCE modelling framework has been used to report on Great Barrier Reef plan water quality targets progress since 2009. The increasing complexity of the SOURCE modelling framework is severely impacting run time efficiency in parallel with a growing demand for more integrated model outputs. This project, delivered by eWater and co-funded by the Department of Natural Resources, Mines and Energy, has supported improvements to the core eWater software to enhance model run time efficiency, performance and stability.


Muddy creek

Consensus based streambank and gully conceptual models in Queensland

This project, led by Dr Ian Prosser, synthesised existing knowledge of biophysical processes driving gully, streambank and channel erosion dynamics, focusing on Queensland catchments and conditions, to develop a conceptual framework to support the use of new process knowledge and spatial information to improve the existing modelling framework. Key to the project was a facilitated workshop involving leading Australian researchers in gully and streambank erosion modelling and monitoring.


Water modelling

Good modelling practice principles of the Queensland Water Modelling Network

This project delivered under the government's collaborative research agreement with ANU developed a reference document – the Queensland Water Modelling Network Good Modelling Practice Principles – which outlines a current and consistent approach to modelling principles for R&D. It aims to support the broader understanding and use of models in the government, private and university sectors.

Read more

Detailed scope of work to support parallelism of models at the simulator level

The increasing complexity of environmental models coupled with model calibration demands results in an increased requirement for computational resources. This project, delivered through Watermark Numerical Computing, developed a detailed scope of work for the development of a software suite, which supports parallelism of models at the simulator level.


Great Barrier Reef

Stream bank erosion in the Great Barrier Reef catchments

This project will investigate the feasibility of applying alternative approaches to assess stream bank erosion rates in the Great Barrier Reef catchments. Alluvium is leading the project with support from Griffith University, Reef Catchments, Fitzroy Basin Association and Wildland Hydrology. Improving stream bank erosion rate prediction in Great Barrier Reef catchments would deliver a better understanding of the key drivers of water quality, informing targeted mitigation strategies to improve water quality in Queensland.

Read more

Sign up for our newsletter

Please enter your first name

Please enter your last name

Please enter a valid email address