geomorphological analysis of khor al udeid area in jariyan al batnah, qatar
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8/13/2019 Geomorphological analysis of Khor al Udeid area in Jariyan al Batnah, Qatar
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Geomorphological analysis of Khor al Udeid area in Jariyan alBatnah, Qatar
Preston S. Cook
Brigham Young University, Department of Geological Science
ABSTRACT
Using visible spectrum remote sensing data from various satellites, I measured the aver-
age dune movement over eight years on three different barchan dunes in Khor al-Udeid in Qatar.
The objective of measuring dune migration velocity in Khor al-Udeid is to determine whether
or not dunes move slower over shallow tidal seas or on dry land. The rst dune was the wettest
and has an average velocity of 10 meters per year. The second dune is somewhat wet and has an
average velocity of 22 meters per year. This high velocity is probably more closely related to
dune size than wetness, as it is signicantly smaller than the other two dunes. The third dune is
the driest and it’s average velocity is 7.5 meters per year.
For the ood tide delta I conducted a channel density analysis and a qualitative middleground bar (MGB) shape analysis. The channel density of the delta is 142 square meters of delta
area per meter of channel. I hypothesize that channel density in tidal deltas is related to sediment
load, depth of the delta and ow rate. The MGB shape analysis shows that ood tide DMB con-
centrate north of the delta mouth, while ebb tide MGB are more common on the east and west
sides of the delta. The most reasonable explanation for this phenomenon is that the momentum of
the incoming ood tide concentrates the ow directly away from the delta mouth, while ebb tides
drain from all sides of the delta equally.
INTRODUCTION
Khor al-Udeid is a morphologically diverse located in Jariyan al Batnah, the south-east-
ern department of Qatar (Figures 1 & 2). The dominant feature of the area is a ood tide delta
that connects a shallow tidal inlet to a deep inland sea. The area south and east of the tidal inlet
is an erg dominated by barchanoid dunes. The area north and west of the inlet is an extensive
sabkha. The ood tide delta and erg were the focus of my research. To represent all phases of
my research, I will rst discuss background information and the methods involved in studying
the ood tide delta and erg; after which I will explain the results of the study and conclusions of
the research. Finally, I will describe the processes that acted on the environment to produce these
sedimentary features.
Background
Flood tide deltas
Flood tide deltas form in shallow tidal inlets that open to larger, deeper inlets or seas(Stauble et al., 1988). Two factors induce sedimentation in a ood tide delta: drag on hyperpyc-
nal ows and decrease in ow velocity due to opening of the distribution basin (Morris, 2013).
As more dense water ows in from the deeper inlet during ood tide, the conditions are right
for hyperpycnal ow. The sediment loaded hyperpycnal ow drags on the shallow bottom of the
inlet, lowering ow velocity and inducing sedimentation. As sediment charged tides move out
of the conned tidal inlet neck and into the broad distribution basin, ow velocity decreases and
sediment falls out of suspension.
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Source: Esri, DigitalGlobe, GeoEye, i-cubed, USDA, USGS, AEX,Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community
51°22'0"E
51°22'0"E
51°20'0"E
51°20'0"E
51°18'0"E
51°18'0"E
51°14'0"E
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51°16'0"E
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24°40'0"N 24°40'0"N
24°38'0"N 24°38'0"N
24°36'0"N 24°36'0"N
1
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Visible Spectrum Image of Khor al-Udeid, Qatar
Figure 1. Panchromatic 15m resolution image of Khor al-Udeid, Qatar from Landsat 7 satellite. The tidal
inlet is in the center of the image. The ood tide delta separates the tidal inlet from the inland sea. Barch-
an dunes migrate across the tidal inlet from the north to south. Barchanoid dune elds are visible in the
southwest and southeast corners. The dunes selected for migration velocity measurements are numbered
one through three.
1
2
3
Source: Esri, DigitalGlobe, GeoEye, i-cubed, USDA, USGS, AEX,Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community
51°22'0"E
51°22'0"E
51°20'0"E
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51°18'0"E
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51°16'0"E
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51°14'0"E
51°14'0"E
24°40'0"N 24°40'0"N
24°38'0"N 24°38'0"N
24°36'0"N 24°36'0"N
Legend
Sabkha
Tidal Inlet
Erg
Flood Tide Delta
Inland Sea1
km
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Geomorphological Map of Khor al-Udeid, Qatar
Figure 2. Geomorphological map of the different features of Khor al-Udeid, Qatar.
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Satellite specifcations
I used panchromatic data from three different satellites: GeoEye-1, Spot 5 and Landmark
7. Each satellite has a different spatial resolution.
GeoEye-1. GeoEye-1 provides half meter resolution panchromatic images and 1.65m
multi-spectrum images. For the MGB shape analysis and the channel density analysis, I used
GeoEye-1 panchromatic images. Spot 5. Spot 5 was launched in 2002 and has a panchromatic spatial resolution of 2.5 or 5
meters. Both the 2005 and 2013 images of the dunes were Spot 5 meter resolution images.
Landmark 7. The Landmark 7 satellite provides 15 meter resolution panchromatic
images. For my geomorphological map and wide view image I used the panchromatic images
from Landmark 7.
METHODS
Average dune migration velocity
I hypothesize that wet dunes will migrate slower than dry dunes. Water should increase
dune cohesion, making them resistant to low velocity winds. To test my hypothesis, I selectedthree different barchan dunes around Khor al-Udeid (Figure 1). The rst dune is completely sur -
rounded by water. The second dune is migrating along a spit surrounded on two sides by water.
I would assume that this dune is moderately wet. The third dune is on land. Since the dunes are
in close proximity, they should experience the same wind patterns, thus migration speed should
vary only due to wetness or size.
In order to measure average dune migration velocity, two different datasets were loaded
as separate layers in ArcGIS. The rst dataset was an 2005 panchromatic image of the Khor
al-Udeid area provided by the Spot 5 satellite. The second dataset was a 2013 image of the Khor
al-Udeid area also provided by the Spot 5 satellite. The opacity of the 2013 image was set to
70%, so that the 2005 image could be seen underneath. With both layers visible and positioned
on top of each other, it is possible to measure migration distance. Using the measure tool in
ArcGIS, I measured the distance between the peak of each dune in 2005 against the peak of
the same dune in 2013. By dividing the distance between the dune peaks through time by eight
years, the average dune migration velocity over the last ve years can be obtained.
Channel density analysis
While drainage density is used all over the world to study drainage basins, there has been
no research conducted on channel density in tidal deltas. I propose that channel density in tidal
deltas is related to three factors. The rst factor is sediment drop out rate. As sediment drops
out at higher rates, the channels are more likely to form distributary mouth bars and bifurcate,
increasing channel density. The second factor is clay content. Bank cohesion rises with claycontent; thus, systems with low clay content are more likely to breach levees and create new
channels. The third factor is topography of the delta’s depositional basin. For example, a delta
depositing into a at plane is more likely to spread out and form numerous channels. Conversely,
a delta depositing into a topographically varied zone will have channels that follow paths of low
topography.
By drawing a polyline and switching back and forth between lower resolution Landsat 7
images and higher resolution GeoEye-1 images, I traced all of the tidal channels in the ood tide
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delta. I then created a polygon and traced the boundaries of the delta. Using the attribute tables
for the channel polyline and delta polygon, the total channel length and the total area contained
in the ood tide delta were achieved. The channel density was obtained by dividing the area of
the delta by the total channel length. The total area of the delta and channels measured for the
study are shown in Figure 3.
Middle ground bar shape analysis
Using both Landsat 7 and GeoEye-1 images in ArcGIS, I used polygons to trace the di-
mensions of middle ground bars (MGB). I hypothesized that middle ground bars would be more
pointed in shape on one side or the other depending on whether ood or ebb tides dominated in
that region. After qualitatively assessing the shape of each MGB, I judged it to be dominated
either by ood tides, ebb tides or equally affected by both (Figure 4).
Source: Esri, DigitalGlobe, GeoEye, i-cubed, USDA, USGS, AEX,Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community
51°20'0"E
51°20'0"E
51°18'0"E
51°18'0"E
24°36'0"N 24°36'0"N
51°21'0"E
51°21'0"E
51°20'0"E
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51°19'0"E
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24°37'0"N 24°37'0"N
24°36'0"N 24°36'0"N
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Tidal Channels and Distribution Area for the Flood Tide Delta in Khor al-Udeid, Qatar
Figure 3. Panchromatic 1.65m resolution image from GeoEye-1 satellite. The area of the ood tide delta
is highlighted with a transparent yellow. The channels used for the channel density analysis are light blue.
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RESULTS
Average dune migration velocity
The rst and wettest dune moved south 80 meters over eight years, giving it an average
migration velocity of 10 meters per year. The moderately wet second dune moved south about
175 meters over eight years, with an average migration velocity of 22 meters per year. The
dry third dune migrated 60 meters south-southeast over eight years, with an average migration
velocity of 7.5 meters per year.
Channel density analysis
The total area of the ood tide delta is about 8,500,000 square meters. The total length of
the channels in the delta is about 60,000 meters. Thus the channel density rounds to 142 square
meters of delta per meter of channel length.
Middle ground bar shape analysis
Of the major middle ground bars, 27 were ood tide dominated, 5 were ebb tide dominat-
Source: Esri, DigitalGlobe, GeoEye, i-cubed, USDA, USGS, AEX,Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community
51°20'0"E
51°20'0"E
51°18'0"E
51°18'0"E
24°36'0"N 24°36'0"N
51°20'0"E
51°20'0"E
51°19'0"E
51°19'0"E
51°18'0"E
51°18'0"E
24°37'0"N 24°37'0"N
24°36'0"N 24°36'0"N
1
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Tidal Channels and Distribution Area for the Flood Tide Delta in Khor al-Udeid, Qatar
F
F
F F
FF
F
F
F
F
F
F
FF
FF
FF
FE
E
E
F/E
F/E
F/E
F/E
F/EF/EF
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F/E
F/E
F/E
F/E
F/E
F/EF/E
F/E
FFE
E
F/E
F/E
F
F
F
Figure 4. Panchromatic 1.65m resolution image from the GeoEye-1 Satellite. Well formed bars are high-
lighted with transparent white. Bars shaped dominantly by ood tides are denoted with a letter F. Bars
shaped by ebb tides are denoted with an E and bars formed equally by both ood and ebb tides are de-
noted with an F/E label. The F bars are concentrated in the middle lobe of the delta, while E and F/E bars
are more common on the eastern and western lobes of the delta.
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ed and 22 showed both strong ebb and strong ood features. It seems that bars in different parts
of the delta were inuenced more heavily by different tides.
CONCLUSIONS
Average dune migration velocityThere are not enough wet and somewhat wet dunes in the Khor al-Udeid area to conduct
a conclusive study, but the results are still intriguing. The somewhat wet dune is signicantly
smaller than the other two dunes. Due to its small size, it should migrate much faster than the
other two. I expect that its high migration velocity is a result of its size, rather than its wetness;
therefore, the data collected from this dune is useless in determining the effect of wetness on
dune migration velocity. The other two dunes were close to the same size, but the results contra-
dicted my hypothesis. The wet dune migrated at a higher velocity than the dry dune. Perhaps this
is a result of constant loss of dune volume in a wet environment. As the dune migrates, any sand
deposited below the water table ceases to migrate with the dune, effectively reducing the dune
size and presumably increasing migration velocity.
In the future, migration velocities from other wet ergs could be conducted to understandhow wetness affects dune migration.
Channel density
Since no other research has been conducted regarding channel density in tidal deltas,
there are no other channel density measurements to compare it to. Compared qualitatively to
other tidal deltas, the delta appears to have a high channel density. I suspect that this is a result of
low clay content due to the sandy environment and the at depositional basin.
Field work should be conducted at the ood tide delta in Khor al-Udeid in order to
understand ow rates, sediment load and sediment composition. More channel density analyses
ought to be conducted in different environments in order to understand how variations in ow
rates and sedimentation affect tidal delta morphology.
Middle ground bar shape analysis
In the northern lobe of the ood tide delta the MGBs appear to be affected more heavily
by ood tides, while the eastern and western lobes show more ebb tide characteristics. I suspect
that the momentum of the incoming ood tide concentrates ood tide ow in a south to north
direction, which explains the abundance of ood tide shaped bars in the south-north channel
systems. During ebb tide, water drains more equally from all lobes of the delta, which allows the
bars to develop morphologies associated with ebb tides.
DEPOSITIONAL HISTORYThere are three major environments in Khor al-Udeid. The most obvious is the tidal inlet
and ood tide delta. The second environment is the erg that extends south and east of the tidal
inlet. The third environment is the sabkha that extends from the tidal inlet to the north and west.
Each environment has it’s own depositional history, though they are all directly related to the
processes associated with the Persian Gulf.
The orientation of the dunes in the deserts of Qatar suggest that the dominant wind
direction is north-northwest to south-southeast. Since Qatar is a peninsula that only shares its
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southern border with land, the majority of the sand is sourced from Qatar itself. If you follow the
dune elds into Qatar, they lead to sandy beaches. So, as the wind blows south off of the Persian
Gulf, it picks up sand from Qatar’s beaches and blows them towards Khor al-Udeid and Saudi
Arabia. The sand supply from the beaches is sparse, so Qatar is dominated by isolated barchan
dunes or barchanoid dune elds with wide inter-dunes.
The depositional history of the sabkha and the tidal inlet are strongly tied. The tidalinlet is connected to the sea via a deeper inland sea. During ood tides the colder, denser water
from the deep inland sea moves into the shallow tidal inlet as a hyperpycnal ow. As it does so,
it drags on the bottom, lowering the ow velocity and inducing sedimentation. During normal
tides, the ood and ebb tides cancel each other out and little to no deposition occurs. I propose
that the majority of deposition occurs during storm surges or spring tides when enough water
ows into the tidal inlet to ood the sabkha. If the Sabkha oods, it could greatly reduce the
effect of the following ebb tide. With accommodation space in the sabkha, the following ebb tide
would be unable to drain the sabkha. This would also explain the absence of a ebb tide delta on
the other side of the ood tide delta’s mouth.
REFERENCES
Morris, T.H., 2013, Interview. Nov 25, 2013.
Stauble, D.K., Da Costa, S. L., Monroe, K.L., and Bhogal, V.K., 1988, Inlet Flood Tidal Delta
Development through Sediment Transport Processes: Lecture Notes on Coastal and
Estuarine Studies, v. 29, p. 319-347.