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BRAHMATWINNTwinning European and South Asian River Basins to enhance capacity and implement adaptive management approaches
6th EU Framework ProgrammePriority: Global Change and EcosystemsContract: No. 036952Project duration: 01.06.2006 – 31.12.2009
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DEVELOPMENT OF A RIVER BASIN INFORMATION SYSTEM FOR A SUSTAINABLE DEVELOPMENT IN THE UPPER
BRAHMAPUTRA RIVER BASIN
By
Jörg Pechstädt, Franziska Zander, Hannes Müller Schmied, Anita Bartosch, Prof. Wolfgang-Albert Flügel
Institute of GeographyDepartment of Geoinformatics, Hydrology and Modelling
Friedrich-Schiller-University Jena
www.brahmatwinn.uni-jena.de
• BRAHMATWINN
• Upper Brahmaputra River Basin
• Data basis – historical information
• Projected data
• River Basin Information System
• Outlook
Content
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EC 6th Framework programmeGLOBAL CHANGE AND ECOSYSTEMSSubpriority „Twinning Basins“
• Transfer of professional IWRM expertise, approaches and tools based on case studies carried in twinning European and Asian river basins, the Upper Danube and the Upper Brahmaputra River Basins.
• Enhance and improve capacity to carry out a harmonized integrated water resources management approach
Twinning approach: • Glacierfed basins• Headwaters in alpine mountains• Transboundary river basins• GCC impact on water resources
UDRB UBRB
76,653 km2 533,000 km2
Germany 73 %Austria 24 %Switzerland, Italy , Czech Republic 3 %
China 55 %Bhutan 8 %India 37 %
BRAHMATWINN - Project
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Upper Brahmaputra River basin and the test sites
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SlopeAspect Topographic wetness index
Geology
Land use
Spatial data
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UBRB – Station distribution
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Temperature trend between 1973-2002Station Shiquanhe (4280 m a.s.l.)
UBRB – time series analysis – temperature trends
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UBRB – time series analysis – temperature trends
Temperature trend between 1973-2002Station Gauhati (54 m a.s.l.)
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P_month, 'Shiquanhe', H = 4280 m a.s.l.
-5,0
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
45,0
50,0
Nov. Dec. Jan. Febr. March April May June July Aug. Sept. Oct.
Month
P (
mm
)
1974 - 1989
1990 - 2006
Linear (1974 - 1989)
Linear (1990 - 2006)
P_month, 'Dibrugarh', H = 111 m a.s.l.
-50,0
0,0
50,0
100,0
150,0
200,0
250,0
300,0
350,0
400,0
450,0
Nov. Dec. Jan. Febr. March April May June July Aug. Sept. Oct.
Month
P (
mm
)
1974 - 1989
1990 - 2006
Linear (1990 - 2006)
Linear (1974 - 1989)
Increase in low areas
Decrease in high area
• Precipitation shows no uniform trend: in some areas precipitation is decreasing, in some increasing• Precipitation trend depends on the stations altitude
Existing climates are already highly variable and climate change simply adds to the complexity and scale of the challenge of managing this variability.
UBRB – time series analysis – precipitation trends
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Since 1960 the glaciers in the Northwest-Himalaya have lost approx. 17 % of their area and up to 19 % of their volume. For an interval of 10 years these changes range between 5 % and 13 %.
UBRB – glacier analysis – decade trends
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Water level Brahmaputra at Dibrugarh (1953 – 2005)
UBRB – impacts on runoff – Dibrugarh (India)
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Discharge Lhasa River (1957–2003)
UBRB – impacts on runoff – Lhasa (Tibet)
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SRES scenarios can show the possible development of the natural environment – climate conditions and possible developments of the socio-economy
Source: IPCC 2000
A1B • rapid economic growth•Population 9 billion in 2050•New and efficient technologies•Extensive interactions
A2 •Heterogeneous World – self reliant nations•Increase population (constant)•Regional economic development•Lower and fragmented technological changes
B2•Divided but more ecologically world•Increase of population (slower rate)•Emphasis on local than global solutions to economic, social and environmental stability
SRES – climate scenatios – further developments
B1•Integrated, ecologically friendly•Economic growth (rapid) into a information economy•Population 9 billion in 2050 •Reduction of material intensity technologies•Introduce of clean and resource efficient technologies
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GLOFs
Summary for the actual situation
UBRB – Lhasa River catchment – A1B scenario – temperatur and precipitation
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GLOFs
Summary for the actual situation
UBRB – Simulated discharge till 2050 using CLM data (IPCC A1B)
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Socioeconomic developments – example India – study of TERI (The Energy and Resources Institute)
Projection of the gross domestic production (crore RS = 10000000 rupees)
Population Projections (millions)
Projected Total Demand for Water (billion cubic meters)
UBRB – Socioeconomic development - India
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Historical Data
Spatial Data
Simulated Climate Information
Simulated Socio-economic Information – water demand Ongoing
Modeled future discharge, (hydrological parameter)
WHAT-IF Scenarios – with IWRM options future
Data Basis
Data and simulation summary
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Administration
Metadata Management
GIS Data
Documents Timeseries
River Basin Information System (RBIS)
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RBIS - Functions
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Define a period
•Green colour means that all gaps are filled
•red data have gaps
Download for the time series
Export for the period - Aggregation
RBIS - Functions
Quality informationtotal number of entities
View the data
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RBIS – Frontend – data access via map
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Frontend – Data access via Metadata (and search)
RBIS – Frontend – data access via metadata and search function
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RBIS:•Database with the shown functions•Access via internet•Special access rights depending on data rights•Historical climate data and hydrological data•Spatial data (import is ongoing)
Datasets:•Simulation of SRES scenarios for A1B; B1 and A2•Actual vulnerability analysis •Hydrological model results for the selected SRES•Socio-economic projections for the sub basins
RBIS – Actual status
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Definition of scenarios in the RBIS – as object „scenario“ – extent the database model
Integration of the characterizing dataset to each scenario
Development of the IWRM – options to the „what-if“ scenarios
Integration of the IWRM options into the RBIS – link them to the scenarios
Import all needed datasets into the RBIS
Build capacity to the stakeholder – to the local partner
Installation the complete system to the partner site and the stakeholder site if wanted
RBIS – Further developments – next steps - Outlook
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• Collection and sharing of data is the fundament of a successful IWRM – sustainable development
• This will be realized by the RBIS database, used for storage, administration and visualization of time series and geodata
“Reliable and accurate water resources information and data, by reducing uncertainty about water resources, help decisionmakers make more reliable and politically persuasive assessments of water risks” (World Water Development Report 3).
Summary
• The RBIS represents the central component of the IWRMS toolset
- web-based database system- ISO 19115 standard
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Thank you for your attention!