Day 2 neno kukluric igrac- data processing
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Transcript of Day 2 neno kukluric igrac- data processing
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Neno Kukuric - IGRAC Almaty - July 2014
Data Processing & Harmonisation
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Structured data
Standardised formats:
• Digital maps• Tables (excel)• Text
Data collection
• Paper maps• Paper reports
Text, tabular data, images, maps
• Digital dataTables, maps, reports
Data Processing
From ‘raw’ data to consistently structured data
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17°E 18°E 19°E 20°E 21°E 22°E 23°E 24°E 25°E 26°E
-28°S
-27°S
-26°S
-25°S
-24°S
-23°S
-22°SW indhoek
Stampriet
Gochas
Gobabis
Aminius
Aroab Bokspits
HukuntsiKang
Ncojane
Tsabong
W erdaGoodhope
Mmabatho
Kuruman
Vanzylsrus
Tosca
450
1,000
2,000
5,000
10,000
20,000
50,000
TDSmg/l
From ‘technical’ maps to simplified thematic
maps
Data Processing
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Harmonisation: Formations
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?
Kazakhstan
Uzbekistan
Harmonisation: Formations
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1 TBA
2 Countrie
s
• Countries need consensuson delineation of TBA
2 data sets•National data sets may differ
in format
Harmonised data
• Harmonised TBA map, based on national data sets.
Harmonisation: map information
Transboundary aquifer
For example information onAquifer productivity (Namibia) andGroundwater potential (Botswana)
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Harmonisation: agreements on units
0 0.5 1 1.5 2 2.510Log (Yield) m 3/h
0
10
20
30
40
50
60
70
80
90
100
Pro
bab
ilit
y %
Dolom ite KanyeOlifantshoek BotswanaBasalt SAB
(69)(16)
(13)
0 0.5 1 1.5 2 2.510Log (Yield) m 3/h
0
10
20
30
40
50
60
70
80
90
100
Pro
bab
ilit
y %
Kalahari SABKalahari Botswana
(38)
(37)
Borehole yieldm3/hr (Namibia) , l/s (South
Africa)
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Namibia, 1991 South Africa, 2006Group AExcellent
Group BGood
Group CLowHealthRisk
Group DUnsuitable
Class IOperational
Class IIMax allowable forlimited duration
mg/l mg/l mg/l mg/l mg/l mg/l
Harmonisation: agreements on classifications
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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)• ….• ….
Data processing & Harmonisation
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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 aquifer5. Producing outputs: Indicators, thematic maps,
overview tables, illustrative graphs, conceptual model, assessment report
Project workflow / tasks
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Thank you