coupling monitoring networks and regional scale flow models for the management of groundwater...
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Coupling Monitoring Networks and Regional Scale Flow Models for the
Management of Groundwater Resources
The Almádena-Odeáxere Aquifer Case
Study (Algarve-Portugal)J. MARTINS & J. P. MONTEIROAlgarve University Geo-Systems Centre UALG/CVRMMarine and Environmental Sciences Faculty,Campus de Gambelas, 8005-139 Faro, Portugaljoaoambiente@gmail.com
PortugalStudy Area
Algarve Region
Almádena-Odeáxere Aquifer System
Area = 63,5 km2
Karst Aquifer
Algarve Region
Studied Aquifers - Project “POCTI/AMB/57432/2004”
Groundwater Flow Modelling and Optimisation of Groundwater Modelling Networks at the regional scale in Coastal Aquifers – The Algarve Study
Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
Conceptual ModelPrecipitation / Recharge- Geometry of the
flow domain- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
Conceptual Model
1989
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1011121314151617181920212223
Hidr
aulic
Hea
d (m
)
Hydraulic Head
Conceptual ModelTransmissivity
8784
30381427
318167
193
1176
791 753264
2789
7164
0 2000 4000 6000 8000 m
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
Early Simulations• Homogeneus T throughout the whole flow
domain• “Croissant look”
Hydraulic head analysis
High degree of dependence between the terrain’s morphology and piezometric data
Regional control of the flow pattern by conduits
Hydraulic head analysis
Unexpected System Outputs
High degree of dependence between the terrain’s morphology and piezometric data
Regional control of the flow pattern by conduits
Almeida et al (2000)
Impermeable Formations
Hydraulic head analysis
Unexpected Outputs
Insufficient data to provide a consistent
estimate of the hydraulic
behaviour of the aquifer
Hydraulic head analysis
Unexpected Outputs
Insufficient data to provide a consistent
estimate of the hydraulic
behaviour of the aquifer
Need to obtain data at more points
8-A
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4.8
4.9
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5.1
5.2
5.3
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18-M
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20-M
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22-M
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24-M
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26-M
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28-M
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30-M
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2.8
2.9
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3.1
3.2
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3.9
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4.1
4.2
4.3
4.4
Pote
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l Hid
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(m)
8-A
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-Apr
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16-A
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10-M
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Jun-
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0711
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73-
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77-
Jul-0
79-
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5.2
5.25
5.3
5.35
5.4
5.45
5.5
5.55
5.6
5.65
5.7
5.75
Pote
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3
3.1
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3.9
4
4.1
4.2
Pote
ncia
l Hid
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(m)
8-A
pr-0
710
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12-A
pr-0
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16-A
pr-0
718
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20-A
pr-0
722
-Apr
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24-A
pr-0
726
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28-A
pr-0
730
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2-M
ay-0
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May
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6-M
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78-
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10-M
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18-M
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720
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Pote
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20-A
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10-M
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14-M
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6.1
Pote
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l Hid
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(m)
8-A
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pr-0
722
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24-A
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pr-0
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2-M
ay-0
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6-M
ay-0
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10-M
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14-M
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22-M
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ay-0
71-
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075-
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Jun-
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0711
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13-J
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un-0
719
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21-J
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723
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25-J
un-0
727
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29-J
un-0
71-
Jul-0
73-
Jul-0
75-
Jul-0
77-
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79-
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7
0.45
0.475
0.5
0.525
0.55
0.575
0.6
0.625
0.65
0.675
0.7
0.725
0.75
0.775
0.8
Pote
ncia
l Hid
rául
ico
(m)
3-M
ay-0
75-
May
-07
7-M
ay-0
79-
May
-07
11-M
ay-0
713
-May
-07
15-M
ay-0
717
-May
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19-M
ay-0
721
-May
-07
23-M
ay-0
725
-May
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27-M
ay-0
729
-May
-07
31-M
ay-0
72-
Jun-
074-
Jun-
076-
Jun-
078-
Jun-
0710
-Jun
-07
12-J
un-0
714
-Jun
-07
16-J
un-0
718
-Jun
-07
20-J
un-0
722
-Jun
-07
24-J
un-0
726
-Jun
-07
28-J
un-0
730
-Jun
-07
2-Ju
l-07
4-Ju
l-07
6-Ju
l-07
8-Ju
l-07
10-J
ul-0
712
-Jul
-07
14-J
ul-0
716
-Jul
-07
18-J
ul-0
7
3.4
3.45
3.5
3.55
3.6
3.65
3.7
3.75
3.8
3.85
3.9
3.95
4
Pote
ncia
l Hid
rául
ico
(m)
AO -08
AO -09
AO -17
AO -19
AO -20
AO -21
AO -22 AO -23
602/78
602/4602/5
602/6602/8
602/9602/10
593/5
594/400
602/32602/36
602/43
602/76602/178 602/187
602/242602/311
603/38
0 2000 4000 6000 8000 m
0 2000 4000 6000 8000 m
Use of obtained data in the ModelFinite Element
Network
Monteiro et al. (2005)
0 2000 4000 6000 8000 m
Introduction of additional “real”
field data points for the model to
converge
Zones divided on the basis of the character
of piezometric contours
MInputs i
Outputso
x describes the system’s configuration
Modelling process
o = M (x,p,i)
Parameters (p)
MInputs i
Field Dataq
Parameters (p)
x describes the system’s configuration
The inverse problem
p, i = M-1 (x,q)
MInputs i
Field Dataq
Parameters (p)
The inverse problem
p = M-1 (x,i,q)
x describes the system’s configuration
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
H yd ra u lic he ad co m p u te d fro m m e a su rem e n ts,in m e te rs a b o ve se a leve l
0123456789
10111213141516171819202122232425
Sim
ulat
ed h
ydra
ulic
hea
d,
in m
eter
s ab
out s
ea le
vel
Fict2F ict3
F ict5F ict1
F ict4F ict6
F ict7F ict8
AO -16,15 F ict9F ict10
AO -08AO -06F ict11AO -02
602/242F ict12
F ict14
Fict16
AO -14,13
Fict18
AO -01
Fict20
602/187AO -10
Fict17
593/5
F ict15
F ict21
Fict22
Fict19
Fict13603/38
Objective Function, Φ v5 v5.
1v5.2
5,93
4,56
5,12Corr. Coeficient, R
0,9 < 0,9967
Calibrated Model
Gauss-Marquardt-Levenberg algorithm
0 2000 4000 6000 8000 m
Good fit between measured and
simulated values
T (m2/day)
Zones having smoother piezometric surfaces(Faster flow)
T (m2/day)
Porous media used “artificially”
Scale effect was observed, when comparing K values:
Hydraulic Conductivity – variation with scale
(Assuming that the aquifer’s thickness, b, is 1000 m and K=T/b)
local scale values<regional scale values
Until the present work, the context of application of the AO flow model was merely the evaluation of the coherence between it’s results, existing conceptual models and historical field data.
Model Outputs
Borehole Scale Estimates
Homogeneous distribution of parameters
Until the present work, the context of application of the AO flow model was merely the evaluation of the coherence between it’s results, existing conceptual models and historical field data.
Distinguish the hydraulic behaviour of different statigraphic units
Model Outputs
Borehole Scale Estimates
Homogeneous distribution of parameters
Until the present work, the context of application of the AO flow model was merely the evaluation of the coherence between it’s results, existing conceptual models and historical field data.
First estimates of hydraulic parameters at the regional level (values ranged from 86 m2/day to 8158 m2/day
Distinguish the hydraulic behaviour of different statigraphic units
Model Outputs
Borehole Scale Estimates
Homogeneous distribution of parameters
Future Model Uses
Reliability pays off:
•Improved confidence on future simulations of spatial distribution and temporal evolution of state variables
•Basis for the development of different scenarios of the aquifer’s hydraulic behaviour by assuming different water withdrawal regimes or changes on climate conditions
Future Model Uses
Reliability pays off:
cvrm.ualg.pt
Thank You
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