14 - dhi - integrated decision support tools for water resources management-sep-17
DESCRIPTION
14 - DHI - Integrated Decision support tools for water resources management-Sep-17TRANSCRIPT
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Integrated Decision Support Tools for water resources management Jacob Høst-Madsen COO, DHI
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© DHI
• Technology aspects
• What are the challenges?
• Examples to learn from
• Recommendations
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Damodar valley, India, 1985
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Damodar valley, India, 1985
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Capacity building
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Nine Participating States • Andhra Pradesh • Tamil Nadu • Karnataka • Kerala • Maharashtra • Madhya Pradesh • Orissa • Gujarat • Chhattisgarh
Six Central Agencies • National Institute of Hydrology • Central Water Commission • Central Ground Water Board • Central Water and Power Research
Station • India Meteorological Department • Central Pollution Control Board Case studies selected in each state
DSS Planning
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Real-time installations
© DHI
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Ensemble Inflows, Reservoir storage levels, Downstream
flooding
© DHI
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Technology aspects
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© DHI
…manage, organise and
analyse large amounts
of data
…make wise and robust
water management
decisions
…get the full benefit of
real-time monitoring and
early warning systems
…optimise operations
and planning
Integrated decision support tools for water resources management
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© DHI
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© DHI
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Models and Scenarios
Scripts
Spreadsheets
© DHI
Time series
Data
base
Maps
(GIS)
Open architecture (API)
Add User tools
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© DHI
Different users – Different views
Tailor made view (client solution) Data
base
Operator view (product) Scientific view (components)
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© DHI
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Challenges
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Involvement
HP3: What are the challenges?
Effective operations
Access to information
Effective real-time operations
Early warning systems
IWRM DSS
Institutional development
Technology transfer
Capacity development
Knowledge sharing
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Development of a Water Resource Monitoring Information System (WRMIS) for the Lake Victoria Basin Client: Lake Victoria Basin Commission Period: Oct 2012 – Oct 2014
© DHI #18
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Viewing stations & points of interest Where and what
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Viewing data Tables & graphs of data stored in database
© DHI
© DHI #20
Climate
Streamflow
Water level
GW level
Concentration
Abstraction
WW discharge
Permits
Counts
Fish catches
Indicators
GIS information
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Making analyses E.g. important statistics
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Viewing data that are stored in spread sheets
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Importing data, e.g. from remote sensing
sources
© DHI #23
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Making analyses E.g. important indicators
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Viewing GIS Information
© DHI #25
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Publishing Information
Library of reports, analysis results
© DHI #26
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© DHI #27
Training, Capacity Building and Support
Training classes On-the-job training Help when needed
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A tailormade solution
• Fitness to the purpose/applicability in Indian condition.
• User friendly (including accessibility to training facilities).
• Sustainability (including ongoing support and updating).
• Open sources, code flexibility for customizing, interfacing and further development.
• Cost.
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Flood Forecasting and Warning System, Chaophraya, Thailand
© DHI #29
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Floods Irrigation
Hydropower
Domestic
water
Canal
flushing
Sample challenges in Thailand
From single to multi-objective
water management
at operational, seasonal and strategic
level
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Early warning and forecast systems
© DHI
Chao Phraya, Thailand
The Chao Phraya River Basin.
160,000 km2.
One Decision Support System to
protect against devastating
flooding.
HAII highly appreciates DHI for their
excellent job, especially on the close
collaboration and hands on experience
that made us become a good partner.”
Dr. Piyamarn Sisomphon, Project Leader, Hydro and Agro
Informatics Institute
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Chao Phraya Flood Forecasting and Management DSS system
© DHI Courtesy of HAII, Bangkok, Thailand
Customised Project Web page
Designed by end client
Real-time data view
One- and two-dimensional flood modelling applied
(Example: downstream flood plains).
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© DHI
Bangkok
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What happens if a dike is constructed around Bangkok?
Current 3m dike 4m dike
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Nile basin decision support system
© DHI #35
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Nile Basin Decision Support System
© DHI
The Nile Basin Decision Support System
will provide the basis for agreement on
and development of sustainable water
resources projects in the Nile Basin”
Dr. Abdulkarim H. Seid, Head, Water Resources
Management, Nile-Sec
Accepted tools
Sharing of data and knowledge
Cross boundary cooperation
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© DHI
Objectivity
Sustainability
Capacity building
Cooperation
Trust
Transparency
Need for wise and robust water management decisions
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© DHI
Sharing water resources fairly
Nile river basin, Africa Nile Basin DSS
Time
series
GIS
Scenarios
Scripting Indicators
Spread-
sheets
Work
spaces
Meta data
Dashboard (web
publishing)
Optimisation
Ensembles
MCA/CBA
Data base
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Client Focused Solutions and
Collaborative development approach
© DHI
Use Cases – Rooted in real problems in the basin
Decision driven – Decisions and Actors drive the requirements
Decisions Questions Information Tools/Data
Lk. Victoria, the Sudd wetlands, Blue Nile Hydro Power
Q: How much water can be conserved
from the Sudd wetlands without adversely
affecting eco-system services?
D: Design and Operation of Sudd bypass
canal?
I: Lake surface area? Inundation
dynamics?
“The Actors”
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Key value
© DHI
Shared accepted
tools
Objectivity
Sustainability
Capacity building
Cooperation
Trust
Transparency
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Computer Assisted River Management System (CARM), Australia
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Innovation
© DHI
New South Wales, Australia
CARM is a world class development
designed to maximise the efficiency of the
Murrumbidgee River system.”
Brett Tucker, Chief Executive Officer, State Water
Corporation, New South Wales, Australia
Over 1,600km of river with two
dams and thousands of water
users. One river management
system.
Precision releases to deliver the right flows at
the right time
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River operations
© DHI
“The CARM project will
make control of water
flows more responsive
and more precise.” State Water Corporation
New South Wales, Australia
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Recommendations
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Recommendations
© DHI
• Be clear on technical and institutional challenges (use also wheel).
• Focus on potential value creation.
• Be clear on roles and responsibilities.
• Clear up misunderstandings on: Open sources, code flexibility for
customizing, interfacing and further development.
• Focus on benchmarks, proven performance etc. rather than Fortran
code and isolated price.
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© DHI
…manage, organise and
analyse large amounts
of data
…make wise and robust
water management
decisions
…get the full benefit of
real-time monitoring and
early warning systems
…optimise operations
and planning
Be clear on technical and institutional challenges (use also wheel)
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Set high requirements and use benchmarks
Suggestion:
© DHI
• A range of licensing possibilities
• Parallelisation, GPU, HPC Flexible access and
execution
• Worldwide recognition
• Certified development procedures Recognition, quality
and future
• Professional support
• Extensive training programmes Help and support
• Data from online sources in relevant formats
• Easy data exchange
Productivity: Easy data access
• Interface, manuals, examples
• Productivity tools Productivity:
Usability
• Proven versatile software packages
• Consolidated and new research Science and
versatility