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Geert-Jan Nijsten - IGRAC
21 May 2014
Windhoek
Stampriet – Kalahari/Karoo Aquifer Case Study
Technical Seminar on Project Implementation
Dealing with data
Information Management System
Processing & Harmonisation
Team cooperation
Set-up of the presentation
1. Information Management System
2. Data processing and harmonisation
3. Internal communication
Information Management System
But it can be an information management system for
interpreted data and documents
to support transboundary management
What will the GGIS NOT be ?
Purpose of Information Management System
• Collect, store, visualise and share
structured information
in order to:
• Support transboundary groundwater
governance
• Allow replication of the assessment
• Indicators
• Parameters/variables
• Tabular data
• Thematic maps
• Background maps
• Documents
• Images
And:
• Meta information
What types of information can be stored?
Projections
(WaterGap)
GGIS Functionalities
Public View
Overlay layers
of information
• Point data
• Vectors
• Polygon data
• TIFF imagines
Actors and roles in Data Flow
GGIS
National
Experts (NE)
Regional
coordinat
ors (RC)
IGRAC -
UNESCO
• Data &
information
collection
• Data
processing
and
harmonisation
• Create visuals
• Coordinate &
assist NE
• Facilitate
Transboundary
cooperation,
data
harmonisation
and creation of
visuals
• IMS
Development
and maintenance
• Guidelines and
data protocols
• Technical
assistance to
NE’s
• Global
Groundwater
Information
System
Management
tool for
consultative
body
Data processing & Harmonisation
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
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°S
Windhoek
Stampriet
Gochas
Gobabis
Aminius
Aroab Bokspits
Hukuntsi
Kang
Ncojane
Tsabong
Werda
Goodhope
Mmabatho
Kuruman
Vanzylsrus
Tosca
450
1,000
2,000
5,000
10,000
20,000
50,000
TDS
mg/l
From ‘technical’ maps to
simplified thematic maps
Data Processing
Harmonisation - Formations
Harmonisation: Agree on units
0 0.5 1 1.5 2 2.5
10
Log (Yield) m3
/h
0
10
20
30
40
50
60
70
80
90
100
Probability%
Dolomite Kanye
Olifantshoek Botswana
Basalt SAB
(69)
(16)
(13)
0 0.5 1 1.5 2 2.5
10
Log (Yield) m3
/h
0
10
20
30
40
50
60
70
80
90
100
Probability%
Kalahari SAB
Kalahari Botswana
(38)
(37)
Borehole yield
m3/hr (Namibia) , l/s (South Africa)
1 TBA
2 Countries
• Countries need consensus
on 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 on
Aquifer productivity (Namibia) and
Groundwater potential (Botswana)
WHO
1993
Botswana, 2000
Guide-
line
Value
Class 1
Ideal
Class 2
Acceptable
Class 3
Max.
Allowable
mg/l mg/l mg/l mg/l
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
Harmonisation – Agree on classifications
Data processing & Harmonisation
Agree 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)
• ….
• ….
Harmonisation
May 2014
Stampriet ?!
October 2013
Stampriet
Kalahari-Karoo
South East Kalahari
Karoo Basin
Harmonisation is all about developing a
common language and terminology
18
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
Team cooperation
Internal project communication
Project Workspace
Password protected
File exchange
Exchange information
between country
experts
Follow up on authors,
versions, etc
Forum functionalities
Forum for discussions,
sharing ideas, etc.
Forum functionalities
Community development
Sharing images and foto’s
24
Thank you
Visualising:
Maps with a clear message
Visualising:
Maps with a clear message
Visualising:
Conceptualising  simplified maps
Visualising: Cross sections
Visualising:
Cross-sections
Visualising:
Simplified diagrams with a message
Visualising:
Simplified diagrams with a message
Visualising: Block
diagrams with a
message
Visualising: Block diagrams with a message

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Day2 1 nijsten_dealing with data

  • 1. Geert-Jan Nijsten - IGRAC 21 May 2014 Windhoek Stampriet – Kalahari/Karoo Aquifer Case Study Technical Seminar on Project Implementation Dealing with data Information Management System Processing & Harmonisation Team cooperation
  • 2. Set-up of the presentation 1. Information Management System 2. Data processing and harmonisation 3. Internal communication
  • 4. But it can be an information management system for interpreted data and documents to support transboundary management What will the GGIS NOT be ?
  • 5. Purpose of Information Management System • Collect, store, visualise and share structured information in order to: • Support transboundary groundwater governance • Allow replication of the assessment
  • 6. • Indicators • Parameters/variables • Tabular data • Thematic maps • Background maps • Documents • Images And: • Meta information What types of information can be stored? Projections (WaterGap)
  • 7. GGIS Functionalities Public View Overlay layers of information • Point data • Vectors • Polygon data • TIFF imagines
  • 8. Actors and roles in Data Flow GGIS National Experts (NE) Regional coordinat ors (RC) IGRAC - UNESCO • Data & information collection • Data processing and harmonisation • Create visuals • Coordinate & assist NE • Facilitate Transboundary cooperation, data harmonisation and creation of visuals • IMS Development and maintenance • Guidelines and data protocols • Technical assistance to NE’s • Global Groundwater Information System Management tool for consultative body
  • 9. Data processing & Harmonisation
  • 10. 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
  • 11. 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°S Windhoek Stampriet Gochas Gobabis Aminius Aroab Bokspits Hukuntsi Kang Ncojane Tsabong Werda Goodhope Mmabatho Kuruman Vanzylsrus Tosca 450 1,000 2,000 5,000 10,000 20,000 50,000 TDS mg/l From ‘technical’ maps to simplified thematic maps Data Processing
  • 13. Harmonisation: Agree on units 0 0.5 1 1.5 2 2.5 10 Log (Yield) m3 /h 0 10 20 30 40 50 60 70 80 90 100 Probability% Dolomite Kanye Olifantshoek Botswana Basalt SAB (69) (16) (13) 0 0.5 1 1.5 2 2.5 10 Log (Yield) m3 /h 0 10 20 30 40 50 60 70 80 90 100 Probability% Kalahari SAB Kalahari Botswana (38) (37) Borehole yield m3/hr (Namibia) , l/s (South Africa)
  • 14. 1 TBA 2 Countries • Countries need consensus on 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 on Aquifer productivity (Namibia) and Groundwater potential (Botswana)
  • 15. WHO 1993 Botswana, 2000 Guide- line Value Class 1 Ideal Class 2 Acceptable Class 3 Max. Allowable mg/l mg/l mg/l mg/l 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 Harmonisation – Agree on classifications
  • 16. Data processing & Harmonisation Agree 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) • …. • ….
  • 17. Harmonisation May 2014 Stampriet ?! October 2013 Stampriet Kalahari-Karoo South East Kalahari Karoo Basin Harmonisation is all about developing a common language and terminology
  • 18. 18 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
  • 21. File exchange Exchange information between country experts Follow up on authors, versions, etc
  • 22. Forum functionalities Forum for discussions, sharing ideas, etc. Forum functionalities
  • 25. Visualising: Maps with a clear message
  • 26. Visualising: Maps with a clear message
  • 31. Visualising: Block diagrams with a message Visualising: Block diagrams with a message