Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater...

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]

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 ModelPrecipitation / Recharge- Geometry of the

flow domain- Water budget- Definition of

Boundary Conditions



Conceptual Model



Boundary Conditions





Boundary Conditions



Conceptual Model

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

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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



Boundary Conditions



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


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


Unexpected Outputs

Insufficient data to provide a consistent

estimate of the hydraulic

behaviour of the aquifer


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

pr-0

710

-Apr

-07

12-A

pr-0

714

-Apr

-07

16-A

pr-0

718

-Apr

-07

20-A

pr-0

722

-Apr

-07

24-A

pr-0

726

-Apr

-07

28-A

pr-0

730

-Apr

-07

2-M

ay-0

74-

May

-07

6-M

ay-0

78-

May

-07

10-M

ay-0

712

-May

-07

14-M

ay-0

716

-May

-07

18-M

ay-0

720

-May

-07

22-M

ay-0

724

-May

-07

26-M

ay-0

728

-May

-07

30-M

ay-0

71-

Jun-

073-

Jun-

075-

Jun-

077-

Jun-

079-

Jun-

0711

-Jun

-07

13-J

un-0

715

-Jun

-07

17-J

un-0

719

-Jun

-07

21-J

un-0

723

-Jun

-07

25-J

un-0

727

-Jun

-07

29-J

un-0

71-

Jul-0

73-

Jul-0

75-

Jul-0

77-

Jul-0

79-

Jul-0

711

-Jul

-07

13-J

ul-0

715

-Jul

-07

17-J

ul-0

7

4.8

4.9

5

5.1

5.2

5.3

Pote

ncia

l Hid

rául

ico

(m)

18-M

ay-0

7

20-M

ay-0

7

22-M

ay-0

7

24-M

ay-0

7

26-M

ay-0

7

28-M

ay-0

7

30-M

ay-0

7

2.3

2.4

2.5

2.6

2.7

2.8

2.9

3

3.1

3.2

3.3

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

-07

19-M

ay-0

721

-May

-07

23-M

ay-0

725

-May

-07

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

2.8

2.9

3

3.1

3.2

3.3

3.4

3.5

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

4.4

Pote

ncia

l Hid

rául

ico

(m)

8-A

pr-0

710

-Apr

-07

12-A

pr-0

714

-Apr

-07

16-A

pr-0

718

-Apr

-07

20-A

pr-0

722

-Apr

-07

24-A

pr-0

726

-Apr

-07

28-A

pr-0

730

-Apr

-07

2-M

ay-0

74-

May

-07

6-M

ay-0

78-

May

-07

10-M

ay-0

712

-May

-07

14-M

ay-0

716

-May

-07

18-M

ay-0

720

-May

-07

22-M

ay-0

724

-May

-07

26-M

ay-0

728

-May

-07

30-M

ay-0

71-

Jun-

073-

Jun-

075-

Jun-

077-

Jun-

079-

Jun-

0711

-Jun

-07

13-J

un-0

715

-Jun

-07

17-J

un-0

719

-Jun

-07

21-J

un-0

723

-Jun

-07

25-J

un-0

727

-Jun

-07

29-J

un-0

71-

Jul-0

73-

Jul-0

75-

Jul-0

77-

Jul-0

79-

Jul-0

711

-Jul

-07

13-J

ul-0

715

-Jul

-07

17-J

ul-0

7

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

ncia

l Hid

rául

ico

(m)

14-M

ar-0

716

-Mar

-07

18-M

ar-0

720

-Mar

-07

22-M

ar-0

724

-Mar

-07

26-M

ar-0

728

-Mar

-07

30-M

ar-0

71-

Apr

-07

3-A

pr-0

75-

Apr

-07

7-A

pr-0

79-

Apr

-07

11-A

pr-0

713

-Apr

-07

15-A

pr-0

717

-Apr

-07

19-A

pr-0

721

-Apr

-07

23-A

pr-0

725

-Apr

-07

27-A

pr-0

729

-Apr

-07

1-M

ay-0

73-

May

-07

5-M

ay-0

77-

May

-07

9-M

ay-0

711

-May

-07

13-M

ay-0

715

-May

-07

17-M

ay-0

719

-May

-07

21-M

ay-0

723

-May

-07

25-M

ay-0

727

-May

-07

29-M

ay-0

731

-May

-07

2-Ju

n-07

4-Ju

n-07

6-Ju

n-07

8-Ju

n-07

10-J

un-0

712

-Jun

-07

14-J

un-0

716

-Jun

-07

18-J

un-0

720

-Jun

-07

22-J

un-0

724

-Jun

-07

26-J

un-0

728

-Jun

-07

30-J

un-0

72-

Jul-0

74-

Jul-0

76-

Jul-0

78-

Jul-0

710

-Jul

-07

12-J

ul-0

714

-Jul

-07

16-J

ul-0

718

-Jul

-07

3

3.1

3.2

3.3

3.4

3.5

3.6

3.7

3.8

3.9

4

4.1

4.2

Pote

ncia

l Hid

rául

ico

(m)

8-A

pr-0

710

-Apr

-07

12-A

pr-0

714

-Apr

-07

16-A

pr-0

718

-Apr

-07

20-A

pr-0

722

-Apr

-07

24-A

pr-0

726

-Apr

-07

28-A

pr-0

730

-Apr

-07

2-M

ay-0

74-

May

-07

6-M

ay-0

78-

May

-07

10-M

ay-0

712

-May

-07

14-M

ay-0

716

-May

-07

18-M

ay-0

720

-May

-07

22-M

ay-0

724

-May

-07

26-M

ay-0

728

-May

-07

30-M

ay-0

71-

Jun-

073-

Jun-

075-

Jun-

077-

Jun-

079-

Jun-

0711

-Jun

-07

13-J

un-0

715

-Jun

-07

17-J

un-0

719

-Jun

-07

21-J

un-0

723

-Jun

-07

25-J

un-0

727

-Jun

-07

29-J

un-0

71-

Jul-0

73-

Jul-0

75-

Jul-0

77-

Jul-0

79-

Jul-0

711

-Jul

-07

13-J

ul-0

715

-Jul

-07

17-J

ul-0

7

5

5.1

5.2

5.3

5.4

5.5

5.6

5.7

5.8

5.9

6

6.1

6.2

Pote

ncia

l Hid

rául

ico

(m)

20-A

pr-0

721

-Apr

-07

22-A

pr-0

723

-Apr

-07

24-A

pr-0

725

-Apr

-07

26-A

pr-0

727

-Apr

-07

28-A

pr-0

729

-Apr

-07

30-A

pr-0

71-

May

-07

2-M

ay-0

73-

May

-07

4-M

ay-0

75-

May

-07

6-M

ay-0

77-

May

-07

8-M

ay-0

79-

May

-07

10-M

ay-0

711

-May

-07

12-M

ay-0

713

-May

-07

14-M

ay-0

715

-May

-07

16-M

ay-0

717

-May

-07

18-M

ay-0

719

-May

-07

20-M

ay-0

721

-May

-07

22-M

ay-0

723

-May

-07

24-M

ay-0

725

-May

-07

26-M

ay-0

727

-May

-07

28-M

ay-0

729

-May

-07

30-M

ay-0

731

-May

-07

5.5

5.6

5.7

5.8

5.9

6

6.1

Pote

ncia

l Hid

rául

ico

(m)

8-A

pr-0

710

-Apr

-07

12-A

pr-0

714

-Apr

-07

16-A

pr-0

718

-Apr

-07

20-A

pr-0

722

-Apr

-07

24-A

pr-0

726

-Apr

-07

28-A

pr-0

730

-Apr

-07

2-M

ay-0

74-

May

-07

6-M

ay-0

78-

May

-07

10-M

ay-0

712

-May

-07

14-M

ay-0

716

-May

-07

18-M

ay-0

720

-May

-07

22-M

ay-0

724

-May

-07

26-M

ay-0

728

-May

-07

30-M

ay-0

71-

Jun-

073-

Jun-

075-

Jun-

077-

Jun-

079-

Jun-

0711

-Jun

-07

13-J

un-0

715

-Jun

-07

17-J

un-0

719

-Jun

-07

21-J

un-0

723

-Jun

-07

25-J

un-0

727

-Jun

-07

29-J

un-0

71-

Jul-0

73-

Jul-0

75-

Jul-0

77-

Jul-0

79-

Jul-0

711

-Jul

-07

13-J

ul-0

715

-Jul

-07

17-J

ul-0

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

-07

19-M

ay-0

721

-May

-07

23-M

ay-0

725

-May

-07

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)


The inverse problem

p, i = M-1 (x,q)

MInputs i

Field Dataq

Parameters (p)

The inverse problem

p = M-1 (x,i,q)


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


Distinguish the hydraulic behaviour of different statigraphic units

Model Outputs




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



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

Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater...

Technology

Transcript of Coupling Monitoring Networks and Regional Scale Flow Models for the Management of Groundwater...