POLYTECHNIC IWRM-MASTER PROGRAM Ben van der Merwe Environmental Engineering Services.

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POLYTECHNIC IWRM-MASTER

PROGRAM

Ben van der Merwe

Environmental Engineering Services

ENVES

STRUCTURE OF THE PRESENTATION

• Water Demand Management

• Artificial Recharge

• Water Demand Forecasting Methods

WATER DEMAND MANAGEMENT

• End use of water (Polytech Project)• Water losses on private properties

(Whk N$ 6 m/annum)• Non-revenue water (N$ 25m+/annum)• Benchmarking according to IWA • Pressure reduction (Major benefits )• Measuring of reduced water use (Modelling)

ARTIFICIAL RECHARGE

• Some results

• Development of groundwater models

• Security of supply

• Benefit costs

• Water quality (modelling)

1640

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Wate

r L

evel (m

am

sl)

15-May 14-Jul 12-Sep 11-Nov 10-Jan 11-Mar 10-May 09-Jul

9/8A (Inj. Bh) 9/6 (1201 m NE) 9/9 (787 m N)

9/11 (626 m SW) 9/12 (1180 m SW)

Water levels afterC-filter backflushing

Injection

1998 1999

Volume injected:290 000 m^3

ARTIFICIAL RECHARGE INJECTION INTO BH 9/8A AT 62 KL/H

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Wate

r L

evel (m

am

sl)

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Bh 12/2 459 mSouth

Bh 12/4 1133 m

East

Bh 12/1A1348 mS-West

Injection

1999

ARTIFICIAL RECHARGE INJECTION INTO BH 12/3 (216 Kl/H)

GROUNDWATER CONTOURS

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9/3

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10/310/4

10/610/6A

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13/1A13/1B

13/1C13/4A

15/ 4A

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2982B08

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1020

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7/4B9/3A

10/6B10/2A

10/12

10/1A 12/2A

12/1A

15/115/2

15/315/3A

15/415/4B

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14/1A14/1

14/4A14/414/4B

14/4C

11/911/9A

11/6A11/6

11/8A11/8

11/411/4A

11/1011/11

11/12A11/12

11/5

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12/412/5

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9/109/10m9/11

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9/149/15

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Kruinkamp

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3A/5

1710#

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M2

M3K1

9/19/2

6/2

Dawe

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11/1AGross Windhoek Spring Fissure

Wasserber Springs

Gathemann Spring

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M1

B

A

N

Boreholes#

Topographical divideWater level (mamsl)

Legend

$ Springs

2 0 2 Kilometers

22°4

0'

22°40'

22°3

5'

22°35'

17°00'

17°00'

17°5'

17°5'

17°10'

17°10'

CITY OF WINDHOEKDepartment of Infrastructure, Water and Technical Services WINDHOEK GROUNDWATER LEVEL CONTOURS MARCH 2001

Compiled by: E. Murray & G. Tredoux, CSIR, Stellenbosch, RSA.Date: November 2001

SECURITY OF SUPPLY(SWECO)

0.0

10.0

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50.0

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0.00 0.10 0.20 0.30 0.40 0.50

Cumulative Probability

Cum

ulat

ive

Sho

rtfal

l (M

m3 /1

0-ye

ars) baseline

Scenario 1

Scenario 2

Tsumeb

Berg Aukas

Demand Management

ECONOMIC COMPARISON

IRR NPV B/C

• Phase 1 30.6% N$ 18.9m 2.33

• Phase 2 29.1% N$ 41.8m 2.71

• Phase 3 14.7% N$ 30.17 2.52

WATER BANKING

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nu

al P

rod

uct

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in M

m3

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Reclaimed

Surface water

Boreholes

WATER QUALITY

• High DOC values Von Bach

• High TDS Goreangab

• High Sulphates Goreangab

• High Nitrates Goreangab

DEMAND FORECASTING

• Improve methods (TSA with variables)

• Develop more accurate unit water use norms

• Try to measure small changes in demand

CONCLUSIONS

• Scope for applied research • Lowering of water losses major benefit to

Namibia (N$ 21m+/annum)• Start small scale AR projects in rural areas

with water stress and/or bad water quality• Develop ground water models for critical

supply areas• Address groundwater pollution • Establish norms for unit water use • Develop more advanced forecasting models

“When the well’s dry, we know the worth of water”

Benjamin Franklin