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NSW Flood Data Portal

Flood study

Wollondilly and Mulwaree Rivers Flood Study

This Study has been prepared by WMAwater on behalf of the Goulburn Mulwaree Council (Council). The main objective of this study is to define mainstream flood behaviour at Goulburn due to the Wollondilly and Mulwaree Rivers. The Study has examined past flood events in addition to undertaking a flood assessment for a range of design storms under existing conditions. The findings in this report provide material to inform Council with regards to managing existing and future flood risk due to mainstream flooding at Goulburn.

The information and results obtained from this study define existing flood behaviour for the Wollondilly and Mulwaree Rivers and provide a firm basis for the development of a subsequent Floodplain Risk Management Study and Plan (FRMS&P). Primarily, the study was developed in order to meet the objective of defining design flood behaviour (0.2 EY, 20%, 10%, 2%, 1%, 0.5% AEP events and the Probable Maximum Flood (PMF)) for mainstream flooding at Goulburn and to produce: Flood levels, extents, velocities and flows for the full range of modelled design events; Provisional hazard and preliminary hydraulic category maps for the 1% AEP and PMF events; Flood emergency response classification of communities; Analysis on the sensitivity of flood behaviour to changes in flood producing rainfall events due to climate change; and *A modelling system to be used in the subsequent FRMS&P to test proposed flood risk management strategies.

Additional Information

Field Value
Title Wollondilly and Mulwaree Rivers Flood Study
Publication Date 6 October 2016
Themes Land and Resource Management
Spatial Extent
Map data © OpenStreetMap contributors
Council/LGA Goulburn Mulwaree Council
Author/ Prepared by WMA Water
Publish date 25 September 2018
Update date 1 November 2018
River Basin 212 - Hawkesbury
Place Name Goulburn
Approval State Approved
Submitted for approval 5 October 2018
Submitted by Elspeth OShannessy
Approved 2 November 2018
Approved by eoshan
Identifier 70d788a7-1408-4989-9bfe-66ae6327eeca