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Concept of the overall assessment and next steps

Concept of the overall assessment and next steps. Main issues. Issue 1: From local to regional to global Issue 2: Scarce data, validity of data Issue 3: Linking water quantity, water quality and impact Issue 4: Are we measuring/modelling the right thing? Assessment concept

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Concept of the overall assessment and next steps

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  1. Concept of the overall assessment and next steps

  2. Main issues • Issue 1: From local to regional to global • Issue 2: Scarce data, validity of data • Issue 3: Linking water quantity, water quality and impact • Issue 4: Are we measuring/modelling the right thing? • Assessment concept • Issue 5: Networking, regional consultation

  3. Issue 1: From local to regional to global • How do we come to a global assessment? • Our conceptof bringing top-down and bottom-uptogether • How can data driven and model driven analysis come together? • Example of lakes: trophic level thresholds and loadingto lakes • How do the deal with obstacles? • Data gap (but for modelling and data driven analysis different) • Assumptions (sensitivity analysis) • Adapted management questions

  4. Issue 2: Scarce data, validity of data • How to validate results and findings? • Model validation (GEMS data, interpretation using explanatory variables O2/pH/g) • What are the assumptions that need to be checked? • Modelling scattered settlements (WWT): stage 1 European assumptions, stage 2 regional statistics • What can be transferred from data rich areas? • Example on the interaction of variables (example from India) to identify “useful” variables • Gradients: example on African cities

  5. Issue 3: Linking water quantity, quality and impact • Modelling concept • WaterGAP & WorldQual integrates quantity & quality • How do we deal with the health aspect?, How do we deal with the food security aspect? • Indicators and thresholds

  6. Issue 4: Are we measuring/modelling the right thing • Concentration of selected variables, describing water pollution: • FC => drinking, bathing, irrigation • BOD (&O2) => fishery • P => eutrophication (esp. fishery) • N => eutrophication (esp. fishery) • TDS => salinity (esp. irrigation, fishery) • Toxicants, emerging pollutants • How to improve monitoring concepts and data basis • Compendium and guidelines projects

  7. Assessment concept • Hypothesis: • Use-specific water quality indices can be developedbased on a limited number of variables by linking data driven and model driven analysis • “Water uses”: drinking, bathing, irrigation (human health related), fishery (food security related) • Requirement: joint definition of thresholds Approach of three steps: Analyzing variables separately Data and model driven description: e.g. population per grid cell & dilution capacity as explanatory variables Multivariate indicators in addition and/or instead of the short list variables

  8. Issue5: Networking, regional consultation • Regional consultation • Our experience on data accessibility: WWQA data request with NFPs in Africa • Hubs, regional offices, case studies, … • Join WP4 for regional consultation • Approach international organisations • International consultation of the Assessment results • Assessment launch?

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