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OPTIMA INCO-MPC Third Management Board Meeting , May 18/19 2008 Gumpoldskirchen

OPTIMA INCO-MPC Third Management Board Meeting , May 18/19 2008 Gumpoldskirchen. DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen Austria kurt@ess.co.at http://www.ess.co.at. Thursday, May 18. 09:00-09:15 Welcome & agenda ESS

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OPTIMA INCO-MPC Third Management Board Meeting , May 18/19 2008 Gumpoldskirchen

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  1. OPTIMA INCO-MPCThird Management Board Meeting,May 18/19 2008Gumpoldskirchen DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen Austria kurt@ess.co.at http://www.ess.co.at

  2. Thursday, May 18 09:00-09:15 Welcome & agenda ESS 09:15-10:15 WP04, water technologies INTERGEO 10:15-11:15 WP05, GIS data NCRS 11:15-12:00 model scenarios, optimization ESS 12:00-14:00 Lunch break

  3. Thursday, May 18 12:00-14:00 Lunch break 14:00-14:45 Stakeholder WS, Jordan C.z 14:45-15:30 Stakeholder WS, TurkeySUMER 15:30-17:00 stakeholders, communication IRMCo 17:00-18:00 WP 16,dissemination IRMCo

  4. Friday, May 19 09:00-09:45 case study:DhiarizosATLANTIS 09:45-10:30 case study: GedizSUMER 10:30-11:15 case study: Zarqa UJO 11:15-12:00 case study: Litani ELARD 12:00-14:00lunch break

  5. Friday, May 19 12:00-14:00lunch break 14:00-14:45 case study: Alexander/Wadi Z.IPCRI 14:45-15:30case study: MelianCNTD 15:30-16:15case study:MartilUH2M 16:15-16:30second AR, CS2 16:30-17:00WP15, comparative analysisELARD 17:00-18:00workplan, any other business

  6. MEETING OBJECTIVES • Review of Project Status and progress, active work packages: WP04, WP05, case studies • Discussion of stakeholder issues, dissemination, communication • Agree on next steps of technical work (economic assessment, optimization  model workshop)

  7. OPTIMA OBJECTIVE Develop a common structured approach to water resources management in several parallel case studies: Common approach and method for • Identifying issues • Involve end users • Describe the systems • Model/optimize them • Analyze/compare

  8. OPTIMA: Project Overview • 3 year duration to JUNE 2007 • Started: July 2004 Current PM: 24 of 36 or 2/3 (67%) over – case study results ?

  9. OPTIMA: time table

  10. OPTIMA: Work Plan Phases • Requirements and constraints, DSS processes (end users) • Data compilation, tool development • Parallel case studies, baseline scenarios,economic assessment, optimization scenarios, results • Comparative evaluation,dissemination (end users).

  11. OPTIMA: Milestones

  12. Work Plan (simple version) WP 01: done WP 02: done WP 03: done WP 04: largely done, no partner inputs yet ? WP 05: largely done WP 06: done, ongoing support

  13. Work Plan (simple version) WP 07 Cyprus + +- WP 08 Turkey + + + WP 09 Lebanon +- - WP 10 Jordan +- - WP 11 Palestine/Israel +- - WP 12 Tunisia + - - WP 13 Morocco +- -

  14. Baseline targets: • WRM performance targets: • Complete and reasonable scenario • Total outflow +/- 25% observations • Daily flow at least for ONE station close to end node */ 2 • Basic economic assessment (basis for optimization and comparison ) • STREAM performance targets: • DO/BOD within reasonable ranges – any WQ observation data ? • WQ related economics under development

  15. Gender issues: • Activities ? • Update report ? • Future plans ?

  16. Case studies: how to proceed By PM 18 (December 2005): • Baselines ready for each case • Basic economic assessment • Basic water technologies ready to link, on-line data base • Optimization framework agreed: • Criteria, objectives, constraints

  17. Case studies: how to proceed Optimization framework: • Objectives, constraints: • Instruments, water technologies: New questionnaires ? (used for SH workshop in Turkey)

  18. Model use targets: WRM performance targets: • Complete and reasonable scenarios includes groundwater links, realistic reservoir data • Provide observation data for CONTROL NODES, add control nodes for all monitoring stations -> compliance, flood damages • Basic economic assessment

  19. OPTIMISATION: • Technologies are applied to NODES. • Each technology affects some model parameters (demand, efficiency/losses) for the different node types at a cost. • Benefits accrue from water supplied. • Optimization approach: Satisficing • First round: Model selects the combinations of technologies that meets all constraints

  20. OPTIMISATION: CONSTRAINTS: • Global constraints • Node specific constraints • Sectoral (not implemented) • directly derived from model results

  21. TECHNOLOGIES: Are NOT restricted to technology in a narrow sense, can include policies and institutional change that do affect supply, allocation, demand, efficiency, quality FOR example: • Pricing/subsidies affects demand • Market (privatization) affects allocation • Enforcement (regulatory change) affects quality and efficiency

  22. Water Technologies • Name, META DATA • Description (unstructured, hypertext HTML, types) • Application domain • allocation, supply, structures, quality • Investment (annualized): • unit cost, reference unit for scaling • Operation (annual): • OMR unit cost, reference unit for scaling • Effects multiplier for: • Demand, consumptive use, distributions losses /MANUALS/WATERWARE/watertechnologies.html

  23. WP 14: post-optimal analysis WP leader: Corridoi.zero WP started: PM 13 (July 2005) Any Activities ? Minimally: define an operational framework, also for stakeholder involvement ! • Compile CRITERIA that the model produces or that can be derived, compare with stated issues • Analyze relationships, correlation structure • Repeat with optimization results if and when available, analyze implicit weights and identify stakeholder preferences.

  24. WP 15: comparative analysis WP leader: ELARD WP starts: PM 25 (July 2006) Activities: closely related to WP14 • Compile the CRITERIA selected in WP14 from each baseline scenario, analyze rangesand relationships; • Repeat with optimization scenarios if and when available.

  25. Thursday, May 18 09:00-09:15 Welcome & agenda ESS 09:15-10:15 WP04, water technologies INTERGEO 10:15-11:15 WP05, GIS data NCRS 11:15-12:00 model scenarios, optimization ESS 12:00-14:00 Lunch break

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