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Burdekin river
plume modelling
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Felicity McAllister1
Brian King2
Terry Done1
1Australian Institute of Marine
Science
PMB #3 Townsville MC,
Townsville Qld 4810
Australia
Phone: (07) 4753 4444
International: 61 7 4753 4444
2Asia - Pacific Applied Science Associates
P O Box 1679, Surfers Paradise Qld 4217
Australia.
Phone: (07) 5574
1112
International: 61 7 5574 1112
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IMPACT OF
THE BURDEKIN RIVER
PLUME ON THE CENTRAL GREAT BARRIER REEF
Rivers collect the freshwater runoff from the land and deliver
it to the sea at the coast. The runoff collects and carries with it: nutrients,
pollutants and sediments, as it makes its journey to the sea. Using the latest
in 3-dimensional mathematical techniques, this project aims to use computer simulation
to better understand the final fate of riverine water as it mixes and moves around
with the currents and winds. In particular, the project is focussing on simulating
all the floods of the Burdekin River for the 30 year period 1966-1995. This river has a very
large discharge when in flood and these are known to impact the Central Great Barrier Reef
(CGBR).
The following database includes information on the duration of exposure to fresh water
(exceedance), the minimum salinity and the return periods for the modelled domain shown below.
Abstract
A verified 3-dimensional hydrodynamic model, capable of simulating river
plume dynamics, was employed to create computer simulations of the fate and
mixing of a flood of freshwater from the Burdekin River. The model was
used to simulate 30 years (1966 - 1995) of the Burdekin River in flood
based on measured local winds and river discharge data. The computer
simulations have produced a comprehensive time varying and 3-dimensional
spatially varying database of the fate and mixing of plume waters from the
Burdekin River during the flood events. This database has been analysed to
determine the concentrations and residence times of plume waters in the
Central Great Barrier Reef (CGBR).
The 30 years of simulations showed that the Burdekin River plume regularly
stretches over 400 km to the north in coastal waters due to the discharge
and wind. Steering effects from the coastal topography, continental
islands and the dense reef matrices created complex spatial patterns in the
plume distribution. The model predicts that shelf edge reefs in the CGBR
are unlikely to be affected by Burdekin River plumes, but that the inner
shelf reefs are impacted when an offshore wind prevails following a flood
event. A simulation of one extreme low salinity event of 26 ppt, shows
that Burdekin River water can reach the inner reefs with a minimum dilution
rate of 1 part river water to 3 parts coastal seawater. The simulations
also showed that the plume would usually take at least a 2-3 week period,
after discharge from the river mouth, to reach the inner reefs.
Given the natural temporal and spatial variability that exists in the plume
behaviour, the model simulations for all 30 years were compiled to examine
the intensity, duration and frequency of different lower salinity events.
Return periods were then calculated for such events over the entire model
domain. This analysis reveals that close proximity to the river mouth does
not necessarily increase the likelihood of impact. Indeed, the closest
mid-shelf reefs to the mouth of the river are only 50 km away, yet the most
frequently impacted region (Rib Reef, John Brewer Reef, Lodestone and
Keeper) are over 120 km away.
The 30-year historical simulation of the discharge and dilution of Burdekin
River runoff was undertaken to broaden the understanding of the spatial
extents of likely impacts on the reefs and coastal waters of the CGBR from
catchment management practices. The simulations demonstrate a range of
common spatial patterns and unusual events that can be expected from a
dynamic process. A risk assessment using return period analysis of the
frequency of different impact events was undertaken to identify 'high-risk'
regions or reefs. Environmental managers can use the database to assess
land use changes. For example, risk assessments can be performed on the
expected dilutions and residence times of Burdekin river water and hence
the implications for dilutions and residence times of dissolved and
suspended material carried within catchment runoff into the CGBR. Further,
Environmental Managers can also use the simulations to identify the
potential plume pathways and travel times for the runoff and its contents
to reach the reefs.
See also - King,
McAllister, Wolanski, Done and Spagnol, 2000 "River Plume
Dynamics in the Central Great Barrier Reef" As Chapter 10
in: Coral Reef Processes; Physics-Biology Links in the Great
Barrier Reef. E.Wolanski (Ed.).
CRC Press,
Boca Raton, Florida.
(for full report, see
CRC Reef Reports, Task 1.5.1/4, 1999)
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Model domain (insert) |
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Click in the model domain box to view more information and a zoomed-in image of the domain |
The MECCA model was run for up to 180 days for the flood periods.
Factors affecting the plume included river discharge behaviour
and the prevailing winds during the modelling period. Analysis of the model output produced plots of fresh water exceedance, minimum salinity and return periods. The years for which the model was run are shown below. Click on any of the years to view more information including an animation of the plume.
Additionally MECCA was run to model plume behaviour for the Burdekin, Herbert, Tully and North and
South Johnstone Rivers combined. These runs are referred to as the all
rivers runs.
Analysis of the model outputs for these runs can be viewed in a similar manner.
Permission to
use
For use of any of this
data please contact the authors
Citation
McAllister, F., B. King and T. Done (2000). The Database of
Predicted River Plume Distributions (1966 - 1998) in the Central Great Barrier
Reef Marine Park - CD ROM and Web Page. Report to the CRC Reef Research
Centre from the Australian Institute of Marine Science and Asia-Pacific Applied
Science Associates.
River Discharge |
Return Periods |
Exceedance Plots |
Minimum Salinity Plots |
Salinity Transect
All river modelling
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