Project Summary
Following the January 2011 flood in 
Brisbane, there was a need to create a surface of the flood. This was needed to 
try and explain the behaviour of the flood and to inform the Council for future 
planning.
The Challenge
More than 100 surveyed levels 
were taken of the maximum flood height along the extent of the river. The intent 
was to apply these heights to the ‘centreline’ of the river to produce a 
profile. Heights would then be able to be interpolated between the surveyed 
levels.
When the profile was produced, the profile did not fall as 
expected from upstream to downstream and generally did not look ‘right’. There 
were areas where the downstream levels were higher than upstream. Initially, 
survey errors were suspected. The errors that could have arisen were from 
mistaken identification of the flood height or basic surveying errors. Problems 
with the surveyed levels were eliminated. The problem was how to explain the 
obvious inconsistencies and produce a rational flood surface.
The Solution
After analysing the survey information and discussing potential solutions with 
hydraulic engineers, it was determined that the best option was to attempt to 
model the super-elevation effect that occurs when the faster moving water on the 
outside of a bend is higher than the slower moving water on the inside of the 
bend. The water is assumed to be ‘level’ outside the banks of the river.
To test the proposition, strings were digitised along each bank of the river, 
and the surveyed levels were applied to the end of the strings and the string 
graded. Initial trials proved to be encouraging but the number of surveyed 
points did not give a satisfactory result. The solution was to use LiDAR data 
and the Nearmap image taken within 24 hours of the flood peak. From the image it 
was possible to see the flood extent and at these locations, ground elevations 
were extracted from the LiDAR data to supplement the surveyed levels. This 
solution proved to be satisfactory.
Once the bank strings were created 
and graded, they were paralleled out until they were outside the extent of the 
flood. Creeks and gullies were enclosed by a string and graded from start to 
end.
The Result
These strings were tinned and the resulting 
contours reflected the super-elevation effect. The flood surface tin was 
intersected with the terrain surface created from LiDAR data to produce an 
extent of the peak flood level. The correlation between the extent of the peak 
flood level and the Nearmap image particularly in areas where there were no 
surveyed levels or levels extracted from LiDAR confirmed the value of the 
process.
The ability to use the modelling tools within 12d Model to 
develope a TIN which was not created by direct measurement such as survey, or by 
rules such as a road design, was invaluable to this project.
 
                                                            
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