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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, [email protected]
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PortugalStudy Area
Algarve Region
Almádena-Odeáxere Aquifer System
Area = 63,5 km2
Karst Aquifer
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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
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Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
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Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
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Conceptual ModelPrecipitation / Recharge- Geometry of the
flow domain- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
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Conceptual Model
- Geometry of the flow domain
- Water budget- Definition of
Boundary Conditions
- Temporal evolution and spatial distribution of state variables
- Hydraulic parameters
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- 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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Hidr
aulic
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)
Hydraulic Head
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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
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Early Simulations• Homogeneus T throughout the whole flow
domain• “Croissant look”
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Hydraulic head analysis
High degree of dependence between the terrain’s morphology and piezometric data
Regional control of the flow pattern by conduits
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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
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Almeida et al (2000)
Impermeable Formations
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Hydraulic head analysis
Unexpected Outputs
Insufficient data to provide a consistent
estimate of the hydraulic
behaviour of the aquifer
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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
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0.75
0.775
0.8
Pote
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4
Pote
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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
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0 2000 4000 6000 8000 m
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Use of obtained data in the ModelFinite Element
Network
Monteiro et al. (2005)
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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
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MInputs i
Outputso
x describes the system’s configuration
Modelling process
o = M (x,p,i)
Parameters (p)
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MInputs i
Field Dataq
Parameters (p)
x describes the system’s configuration
The inverse problem
p, i = M-1 (x,q)
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MInputs i
Field Dataq
Parameters (p)
The inverse problem
p = M-1 (x,i,q)
x describes the system’s configuration
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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
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ydra
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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
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0 2000 4000 6000 8000 m
Good fit between measured and
simulated values
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T (m2/day)
![Page 31: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/31.jpg)
Zones having smoother piezometric surfaces(Faster flow)
T (m2/day)
Porous media used “artificially”
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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
![Page 33: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/33.jpg)
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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
![Page 35: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/35.jpg)
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
![Page 36: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/36.jpg)
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
![Page 37: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/37.jpg)
Future Model Uses
Reliability pays off:
![Page 38: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/38.jpg)
•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:
![Page 39: Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater Resources](https://reader036.vdocuments.us/reader036/viewer/2022081605/54c00f594a7959cd378b45ba/html5/thumbnails/39.jpg)
cvrm.ualg.pt
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Thank You