WASA-SED: Application of a new modelling tool to dryland regions in Spain and Brazil E.N. Mueller, T. Francke, A. Bronstert, J.C. de Araujo, R.J. Batalla, A. Güntner, G. Mamede
WASA-SED: Application of a new modelling tool to dryland regions in Spain and Brazil E.N. Mueller, T. Francke, A. Bronstert, J.C. de Araujo, R.J. Batalla,
Dec 19, 2015
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WASA-SED: Application of a new modelling tool to dryland regions in Spain and Brazil
E.N. Mueller, T. Francke, A. Bronstert, J.C. de Araujo,
R.J. Batalla, A. Güntner, G. Mamede
Semi-arid NE Brazil Sub-humid Pre-Pyrenees, Spain
Shrubs and degradation
Shrubs and degradation Conifers and erosion
Land structural change:
Network of artificial reservoirs within an area of 1060 km2
Land structural change:
Network of artificial reservoirs within an area of 1060 km2
Land-use change:
Intensive agriculture followed by afforestation
Impermanent Monitoring
Stage-height sediment sampler
Eva Nora Müller
Include:
Permanent Monitoring
Automatic bedload trap
Impermanent Monitoring
Stage-height sediment sampler
Eva Nora Müller
Include:
0
500
1000
1500
2000
2500
3000
01/02/07 01/03/07
Date (February-March 2007)
Sus
pend
ed S
edim
ent (
mg/
l)
Impermanent Monitoring
Stage-height sediment sampler
Eva Nora Müller
Include:
0
500
1000
1500
2000
2500
3000
01/02/07 01/03/07
Date (February-March 2007)
Sus
pend
ed S
edim
ent (
mg/
l)
0
10
20
30
40
50
60
0 5000 10000 15000
15 min intervalls (July-August 2006)
Wat
er d
epth
(cm
)
0
500
1000
1500
2000
2500
3000
3500
0 5000 10000 15000
15 min intervalls (July-August 2006)
Tur
bidi
ty (
NT
U)
0
100
200
300
400
500
600
700
800
900
0:10 0:15 0:20 0:25 0:30 0:35
Time (minutes)
Bed
load
rat
e (g
/ms)
Trap A
Trap B
Trap C
Impermanent Monitoring
Stage-height sediment sampler
Permanent Monitoring
Automatic bedload trap
Eva Nora Müller
Include:
WASA-SED Model
Sediment transport:Hillslope: MUSLERiver: Transport / deposition as f(transport capacity)Reservoirs: Cascade-scheme for networks
WASA-SED Model
For 5 reservoir size classes: Sediment flow trajectories:
Cascade routing scheme for reservoir network
Aiuaba (12 km2)
0.0
1.0
2.0
3.0
4.0
5.0
0 365 730Julian Day (2004-2005)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Rai
nfa
ll (m
m/d
ay)
Aiuaba measured Aiuaba simulated Rainfall
with intensive calibration
Modelling results: hillslopeWATER
Cogulers (2.4 km2)
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 365 730
Julian Day (1999-2000)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Rai
nfa
ll (m
m/d
ay)
Cogulers measured Cogulers simulated Rainfall
Aiuaba (12 km2)
0.0
1.0
2.0
3.0
4.0
5.0
0 365 730Julian Day (2004-2005)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Rai
nfa
ll (m
m/d
ay)
Aiuaba measured Aiuaba simulated Rainfall
with intensive calibration no calibration
Modelling results: hillslopeWATER
none
Modelling results: hillslopeSEDIMENT
Cogulers (2.4 km2)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 365 730Julian Day (1999-2000)
Su
sp. S
edim
ents
(g
/l)
0
10
20
30
40
50
60
70
80
90
100
Rai
nfa
ll (m
m/d
ay)
Cogulers simulated Cogulers measured Rainfall
none
Modelling results: hillslopeSEDIMENT
Bengue (1062 km2)
0
50
100
150
200
0 30 60 90Julian Day (2004)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (
mm
/da
y)
Measured Simulated with reservoirsSimulated without reservoirs Rainfall
with intensive calibration
Modelling results: catchmentWATER
Canalda (62 km2)
0
1
2
3
4
5
6
7
0 365 730
Julian Day (1999-2000)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (
mm
/da
y)
Canalda measured Canalda simulated Rainfall
Bengue (1062 km2)
0
50
100
150
200
0 30 60 90Julian Day (2004)
Wat
er d
isch
arg
e (m
3/s)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (
mm
/da
y)
Measured Simulated with reservoirsSimulated without reservoirs Rainfall
with intensive calibration no calibration
Modelling results: catchmentWATER
Bengue (1062 km2)
0
2000
4000
6000
8000
10000
12000
14000
0 30 60 90
Julian Day (2004)
Sed
imen
t (t
on
s/d
ay)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (
mm
/da
y)
Simulated with reservoirs Simulated without reservoirs Rainfall
Modelling results: catchmentSEDIMENT
Canalda (62 km2)
0
1
2
3
4
5
6
7
8
9
10
0 365 730
Julian Day (1999-2000)
Su
sp.
Sed
imen
ts (
g/l
)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (m
m/d
ay
)
Canalda simulated Canalda measured Rainfall
Bengue (1062 km2)
0
2000
4000
6000
8000
10000
12000
14000
0 30 60 90
Julian Day (2004)
Sed
imen
t (t
on
s/d
ay)
0
10
20
30
40
50
60
70
80
90
100
Ra
infa
ll (
mm
/da
y)
Simulated with reservoirs Simulated without reservoirs Rainfall
Modelling results: catchmentSEDIMENT
Land – Water – Linkagesfor the two study sites in Brazil and Spain:
Setting
Disturbance
Connectivity
Ecosystem Stability
Importance for Community
Semi-aridCatinga shrubHortonian flowEphemeral
Sub-humidAfforested conifer
Saturation excess flowPerennial
Burn and slashNetwork of reservoirs
Afforestation
Decreasing for vegetationDecreasing for sediment Barriers, Switches
Increasing for vegetationDecreasing for sediment
Buffer
Unknown Increasing
High Low
Monitoring
Modelling
Monitoring and Modellingfor the two study sites in Brazil and Spain:
Stage-height samplerSimple techniqueHigh labourLow equipment costLow data quality
Bedload samplerAdvanced technique
High labourHigh equipment cost
High data quality
Required:Quantification of transfer paths within landscape compartments
Intensive calibrationInadequate results
No calibrationAdequate results
Required:Implementation of connectivity features:
barriers, buffers and switches
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