Download presentation
Presentation is loading. Please wait.
Published byCory Joseph Hampton Modified over 9 years ago
1
The World Water Quality Assessment Concept of the overall assessment and next steps
2
The World Water Quality Assessment 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
The World Water Quality Assessment Issue 1: From local to regional to global How do we come to a global assessment? Our concept of bringing top-down and bottom-up togetherconcept How can data driven and model driven analysis come together? Example of lakes: trophic level thresholds and loading to lakeslakes How do the deal with obstacles? Data gap (but for modelling and data driven analysis different) Assumptions (sensitivity analysis) Adapted management questions
4
The World Water Quality Assessment Issue 2: Scarce data, validity of data How to validate results and findings? Model validation (GEMS data, interpretation using explanatory variables O 2 /pH/ )validation 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” variablesexample from India Gradients: example on African citiesAfrican cities
5
The World Water Quality Assessment Issue 3: Linking water quantity, quality and impact Modelling concept WaterGAP & WorldQual integrates quantity & quality WaterGAP & WorldQual How do we deal with the health aspect?, How do we deal with the food security aspect? Indicators and thresholds
6
The World Water Quality Assessment 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 Compendium and guidelines
7
The World Water Quality Assessment Assessment concept Approach of three steps: 1.Analyzing variables separately 2.Data and model driven description: e.g. population per grid cell & dilution capacity as explanatory variables 3.Multivariate indicators in addition and/or instead of the short list variables Hypothesis: Use-specific water quality indices can be developed based 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
8
The World Water Quality Assessment Issue 5: 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?
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.