A flood model was developed for the Emerald area as part of the Central Highlands Floodplain Management Study (completed by KBR, 2014 and independently reviewed by GHD). 

The model is a tool to help assess a range of flood mitigation strategies for Emerald and was calibrated using surveyed flood heights post the 2010/11 event.

The two animations illustrate the possible effects of a defined flood event on the township of Emerald:

  1. Without the proposed levees (no flood mitigation in place)
  2. With the levees as a flood mitigation solution. 

The defined flood event was adopted by CHRC in June 2014 as part of their current planning scheme. It is a scenario that accounts for future changes to rainfall intensities and climate as forecast by scientists. 

The event is a 1 in 100 year average recurrence interval in the year 2100. In other words, it has a 1% chance of occurring in the year 2100.

Currently, it is a 1 in 200 year average recurrence interval in the year 2015 and has a 0.5% chance of occurring now.

The 2010/11 flood event is close to a 1 in 100 average recurrence interval now, but as climate change progresses it is forecast to become a 1 in 60 year interval in the year 2100.

Animation 1:  Defined Flood Event No Flood Mitigation - Current Situation

This animation depicts flood inundation extent and depths for the event unmitigated.

Animation 2: Defined Flood Event With Proposed Levees in Place

This animation depicts flood inundation and depths when the proposed Emerald flood levee (red lines (AECOM recommended alignment) and river improvement activities/excavations are completed.

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While every care is taken to ensure the accuracy of this data, the Central Highlands Regional Council (and its officers, servants and agents), make no representations of warranties about its accuracy, reliability, completeness, or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitations, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs that might be incurred as a result of the data being inaccurate or incomplete in any way and for any reason.