Geert-Jan Nijsten - IGRAC

21 May 2014Windhoek

Stampriet – Kalahari/Karoo Aquifer Case StudyTechnical Seminar on Project Implementation

Dealing with dataInformation 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 ViewOverlay layers of

information

• Point data

• Vectors

• Polygon data

• TIFF imagines

Actors and roles in Data Flow

GGIS

National Experts (NE)

Regional coordinators (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 dataTables, 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°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

Harmonisation - Formations

Harmonisation: Agree 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)

1 TBA

2 Countrie

s

•Countries

need consensus

on delineation of TBA

2 data sets

• National

data sets may differ

in forma

t

Harmonised data

•Harmonised TBA map, based on national data sets.

Harmonisation – map information

Transboundary aquifer

For example information onAquifer productivity (Namibia) andGroundwater potential (Botswana)

WHO1993

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, 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 – 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 cooperationInternal project communication

Project Workspace

Password protected

File exchangeExchange

information between country

expertsFollow 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