wasa-sed: application of a new modelling tool to dryland regions in spain and brazil e.n. mueller,...
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![Page 1: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/1.jpg)
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
![Page 2: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/2.jpg)
Semi-arid NE Brazil Sub-humid Pre-Pyrenees, Spain
![Page 3: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/3.jpg)
Shrubs and degradation
![Page 4: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/4.jpg)
Shrubs and degradation Conifers and erosion
![Page 5: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/5.jpg)
Land structural change:
Network of artificial reservoirs within an area of 1060 km2
![Page 6: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/6.jpg)
Land structural change:
Network of artificial reservoirs within an area of 1060 km2
Land-use change:
Intensive agriculture followed by afforestation
![Page 7: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/7.jpg)
Impermanent Monitoring
Stage-height sediment sampler
![Page 8: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/8.jpg)
Permanent Monitoring
Automatic bedload trap
Impermanent Monitoring
Stage-height sediment sampler
![Page 9: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/9.jpg)
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
![Page 10: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/10.jpg)
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
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WASA-SED Model
Sediment transport:Hillslope: MUSLERiver: Transport / deposition as f(transport capacity)Reservoirs: Cascade-scheme for networks
WASA-SED Model
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For 5 reservoir size classes: Sediment flow trajectories:
Cascade routing scheme for reservoir network
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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
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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
![Page 15: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/15.jpg)
none
Modelling results: hillslopeSEDIMENT
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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
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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
![Page 18: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/18.jpg)
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
![Page 19: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/19.jpg)
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
![Page 20: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/20.jpg)
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
![Page 21: 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,](https://reader030.vdocument.in/reader030/viewer/2022032800/56649d355503460f94a0d00a/html5/thumbnails/21.jpg)
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
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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