1. WaterWare description
Data management, Objects
Monitoring, time series
Hydro-meteorological data, forecasts
Rainfall-runoff: RRM, floods
Irrigation water demand
Water budget modelling
Water quality: STREAM, SPILL
Multi-criteria optimization, DSS
User support, system maintenance

2. IWRM, optimization Water Management Problems: Too much, not enough,
Wrong time and place
Insufficient quality
Poor efficiency, economics
Growing uncertainty
Information requirements:
How to make sure we get all the water we want when we want it, cheap, reliable, sustainable ?

3. Decision Support Systems
Manage preferences:
criteria, objectives, constraints
Design/manage alternatives
simulate alternative strategies
Select best (compromise) solution
BUT: Preferences vary; multiple criteria, conflicting objectives;
Uncertain effects, uncertain driving forces: future demographics, economy, technology, CLIMATE

4. IWRM optimization
We do NOT want water as such, we want water based products and services:
Increase the efficiency, reduce specific water needs, costs ?
MAXIMIZE net benefit from water allocation/use considering socio-economic and environemntl criteria

5. everybody is better off !
Paradigm change:
NOT about “supply, access, ecological status”
Shared “benefits”:
Increasing overall net benefit while meeting individual user constraints as the basis for win-win solutions:
everybody is better off !

6. Paradigm change: Replace OPTIMAL with Good enough, but robust
New concepts:
Robustness, reliability, resilience, sustainability

7. robust solutions, reliable benefits:
Paradigm extension:
robust solutions, reliable benefits:
Increasing overall net benefit while meeting individual users constraints as the basis for win-win solutions under growing uncertainty:
Include reliability, sustainability, as explicit criteria of optimization.

8. Design alternatives:
Assign alternative technologies (emission control, water savings from the data base) to emission sources, water users, structures:
calculate emission reductions, increase of efficiency, costs and benefits for thousands of combinations  optimization

9. WaterTechnology, examples of water saving devices increasing water efficiency

10. Large scale photovoltaic desalination plant (combined water saving/substitution and emission control technology)

11. Irrigated Crop Data Base: provides input data for the supplementary irrigation water demand model

12. Water technology data base: irrigation technology

13. Water technology data base: irrigation technology

14. Allocating water technologies to the (demand) nodes

15. Optimization strategy:
Vary the assigned technologies, Monte Carlo, then heuristic, machine learning, genetic algorithms, …. to convergence
Separate feasible and infeasible solutions (constraints)
Extract pareto-optimal subset (non-dominated), criteria selection, reference point (UTOPIA)
Select efficient “best” solution

16. Setting (sectoral) constraints for an optimization scenario

17. OPTIMIZATION: ranking list of alternatives, ranking by user selected criteria

18. Optimization result details: results by criteria, basin wide

19. Decision Support (multi-attribute)
Reference point approach:
utopia A4
efficient
point A5 A2
criterion 2 A6
Reference point method: feasible and non-dominated alternatives are plotted on plains of pairs of criteria, the distance to UTOPIA (or a reference) measures in a normalized N (number of criteria) dimensional space; users can select critiera to consider, introduce secondary constraints, and move the reference.
dominated A1 A3
better
nadir
criterion 1

20. Example screen from the web based DSS, WaterWare scenario; users can toggle criteria ON/OFF, define secondary constraints, select pairs od criteria for display,
move the reference point, set display options.

21. Example screen from the web based DSS, WaterWare scenario

22. control, mitigate, adapt
Summary:
Define “clearly” what we want (measurable criteria)
Identify possible instruments, policies
Generate large numbers of feasible solutions, different scenarios of change
Find solutions that are FEASIBLE for
all scenarios of (climate) change
= robust and flexible
Strategies:
control, mitigate, adapt