ILWS - Charles Sturt University
ILWS - Charles Sturt University

Modelling in-stream hydraulics: Investigating the impact of scale. (2015 - 2018)

Research Theme

Environmental Water

Funding

ILWS PhD Scholarship

Investigators/ Researchers

Inam Ahmed (PhD candidate). Supervisors Prof Robyn Watts (Principal), Dr Andrew Hall and Dr Geoff Vietz, (The University of Melbourne)

Description

This project will undertake in-channel hydraulic modelling for the Edward-Wakool River System using mathematical modelling tools to develop a Decision Support System (DSS) using model result and Geographic Information System (GIS). In particular, the focus will be on modelling the flows that remain within-river channel (i.e. not overbank flows) to determine the extent of inundation of important geomorphic features (such as river benches and backwaters) under different flows.

In-channel environmental flows are delivered to the Edward-Wakool system to increase the movement, condition, reproduction and recruitment of fish, increase hydrological connectivity and improve water quality and the condition of fringing and aquatic vegetation.  Upon implementation the project may have an operations component allowing real time and online decision making. Configurable GIS, advanced graphics, online access, custom rules and interpretations can be embedded into the DSS to provide assistance for decision makers to make timely and well informed decisions.

Outcomes

Models that predict the extent of inundation of river features under different discharges and options will help managers better predict the ecological outcomes of their management decisions with DSS. The DSS framework will be capable of supporting and providing information for the project stakeholders. The DSS framework can also support alternatives analysis and verification of project goals. Upon implementation the project may have an operations component allowing real time and online decision making. Configurable GIS, advanced graphics, online access, custom rules and interpretations can be embedded into the DSS to provide assistance for decision makers to make timely and well informed decisions

CONTACT
Inam Ahmed
Charles Sturt University – Albury-Wodonga
email

June 2017