Day 2 neno kukluric igrac- data processing

1. Neno Kukuric - IGRAC
Almaty - July 2014
Data Processing & Harmonisation

2. Structured data
Standardised
formats:
• Digital maps
• Tables (excel)
• Text
Data collection
• Paper maps
• Paper reports
Text, tabular data,
images, maps
•Digital data
Tables, maps, reports
Data Processing
From ‘raw’ data to consistently structured data

3. Gobabis
Aminius
50,000
20,000
10,000
5,000
2,000
1,000
17°E 18°E 19°E 20°E 21°E 22°E 23°E 24°E 25°E 26°E
-22°S
-23°S
-24°S
-25°S
-26°S
-27°S
-28°S
Windhoek
Stampriet
Gochas
Aroab Bokspits
Hukuntsi
Kang
Ncojane
Tsabong
Werda
Goodhope
Mmabatho
Kuruman
Vanzylsrus
Tosca
450
TDS
mg/l
From ‘technical’ maps to
simplified thematic maps
Data Processing

4. Harmonisation: Formations

5. Harmonisation: Formations
Uzbekistan Kazakhstan
?

6. Harmonisation: map information
1 TBA
2 Countries
• Countries need consensus
on delineation of TBA
2 data sets
• National data
sets may differ in
format
Harmonised
data
Transboundary
aquifer
• Harmonised TBA map,
based on national data sets.
For example information on
Aquifer productivity (Namibia) and
Groundwater potential (Botswana)

7. Harmonisation: agreements on units
0 0.5 1 1.5 2 2.5
10Log (Yield) m3/h
100
90
80
70
60
50
40
30
20
10
0
Probability %
Dolomite Kanye
Olifantshoek Botswana
Basalt SAB
(69)
(16)
(13)
0 0.5 1 1.5 2 2.5
10Log (Yield) m3/h
100
90
80
70
60
50
40
30
20
10
0
Probability %
Kalahari SAB
Kalahari Botswana
(38)
(37)
Borehole yield
m3/hr (Namibia) , l/s (South Africa)

8. Harmonisation: agreements on classifications
Namibia, 1991 South Africa, 2006
Group A
Excellent
Group B
Good
Group C
Low
Health
Risk
Group D
Unsuitable
Class I
Operational
Class II
Max allowable for
limited duration
mg/l mg/l mg/l mg/l mg/l mg/l

9. Data processing & Harmonisation
Harmonisation is about developing a common language and
terminology, i.e. agreeing on:
• classifications (suitability for water consumption, land use types, water use
types, stratigraphy, etc. etc.)
• map scale and map projection
• areal sub-divisions for reporting (eg report per local municipality
or per district?)
• units
• table formats
• report format
• additions/modifications to the methodology (eg: Groundwater
community management)
• ….
• ….

10. Project workflow / tasks
1. Data collection
(incl. data entry and digitising of relevant
information)
2. Taking stock
(which data are available and which not) and fine-tuning
of methodology (data & indicators)
3. Structuring of data (data processing)
4. Harmonising data
in a consistent way across the aquifer
5. Producing outputs: Indicators, thematic maps,
overview tables, illustrative graphs, conceptual
model, assessment report

11. 11
Thank you