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Tidal Landforms in the Gulf of Papua: Sediment Transport and Morphology. Sergio Fagherazzi 1 , Irina Overeem 2 Department of Geological Sciences, Florida State University INSTAAR, University of Colorado. Outline. Objective within S2S - PowerPoint PPT Presentation
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Tidal Landforms in the Gulf of Papua:Sediment Transport and Morphology
Sergio Fagherazzi1, Irina Overeem2
Department of Geological Sciences, Florida State University
INSTAAR, University of Colorado
Outline
• Objective within S2S
• Simple approach to modeling tidal velocities and tidal channel morphology.
• Short-term modeling to identify sedimentation patterns in a tide-dominated delta.
• Short-term modeling to asses sediment storage in the tide-dominated delta system.
• Future plans.
Objective
Develop a simple routine for an existing stratigraphical 3D model (SedFlux3D) to model tide-dominated delta evolution.
The Fly Delta was a missing link: predict storage of sediment in the deltaic part of the sedimentary system
Different tidal deltas are present along the Gulf of Papua, with a fan-like shape or dendritic distributaries
Gulf of Papua
100 km
Fly Delta
Fly delta, at the outlet of the Fly River, which is a major sediment source for the Gulf of Papua.
Satellite image from Google Earth
The Kikori delta represents an end member of tidal deltas, with the tidal component much stronger than the
fluvial one
The delta channels are in competition for the river discharge and the tidal prism. At the same time the channels contribute to the total tidal prism.
Tidal fluxes flush the channels preventing infilling and creating tidal loops that are characteristic of
tidal deltas
Kikori delta
Delta channels Tidal discharge during flood
Our simplified model consists of four steps:
1. the original channel is built in the domain.
2. a new channel, created by avulsion, is added to the network (in this simplified version the new path is randomly chosen)
3. The tidal discharge is calculated for the entire delta
4. if the discharge is less than a critical value the channel is removed from the delta
Modeling tidal discharges and channels
Model simulation
Fly delta:The same mechanism is regulating the fine structure of the tidal network in the islands and nearby coastal plains
Short-term Delft3D modeling
• Physics-based hydraulic and morphological modeling developed at Delft Hydraulics
• Input data: • Bathymetry, tidal measurements, sediment
discharge, river discharge
• For this project: Flow module• Main assumption: Wave influence neglible• Simulation Time: max. 1 year, dt = 5 min.
Simple model grid
Impact of tides on flow velocity
Constant flow velocityunder ‘no tide’ scenario
Continually changing flow velocityunder ‘3m tide’ scenario
Impact of tides on suspended sediment transport
More distinct delta plumein fluvial-dominated delta
2 to 3 channels are active sediment conduits under tide-dominated regine
Impact of tides on sedimentation
More elongateddelta distributaries
2 channels remain active
Mouth bar sedimentation
Human-induced change and extreme climatic events
Human impact on sediment flux of the Fly River, PNG
8
115
0
20
40
60
80
100
120
140
Qs Pre-human Qs modern day
mln
to
n/y
r
discharge of Fly River, PNG
0500
100015002000250030003500400045005000
mean year El Nino' march97-jan98
dis
char
ge
in m
3/se
c
Sediment load +1400% ?
Mining and deforestation in the upstream drainage area of the Fly River is thought to have 14 times increased the sediment flux (Syvitski et al., 2005).
Water discharge -400%
El Nino of March 1997-Jan 1998 caused decrease of cloud cover and extreme drought, discharge of the Fly is thought to have been 4 times reduced (Glantz et al., 2000).
Scenario
Sediment load (kg/m3)
River discharge(m3/s)
Remarks
Sand Clay
A 0.0058 0.058 1500 “Pre-human”(Syvitski, 2005)
B 0.083 0.083 1500 “Modern”(Syvitski, 2005)
Short-term sediment load scenarios
Human impact on sedimentation
More erosion and scouring
Evident: order of magnitude more sedimentation and progradation
Future Plans
• Integrate simplified tidal discharge model into SedFlux3D by using parametrizations for erosion and sedimentation derived from short-term experiments with Delft3D.
• Use real-world data to further constrain the model experiments: bathymetry, sediment load, sedimentation rates are on shopping list, modeling river flux with HydroTrend otherwise.
Avulsions of channels driven by tidal dynamics
Scouring of abandoned channels