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DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Quality of Delft3D FM Suite - Boisgontier

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Presentation by Hélène Boisgontier, Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.

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DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Quality of Delft3D FM Suite - Boisgontier

  1. 1. D e l t a r e s – D S D - I N T - 2 0 1 9 – w f l o w u s e r d a y Emission and water quality modelling with wflow and D-Water Quality of Delft3D FM Suite Hélène Boisgontier
  2. 2. Contents • Why model water quality issues? • Modelling inland water quality and emissions • Examples of related projects Deltares–DSD-INT-2019–wflowuserday 2
  3. 3. Water quality issues: why do we need models Deltares–DSD-INT-2019–wflowuserday 3
  4. 4. Water quality issues: why do we need models Water quality indicators of importance • Oxygen: Total Organic Carbon, Biological oxygen demand, Chemical oxygen demand • Nutrients: Nitrogen, Phosphorus • Bacteria: E.Coli / Total Coli • Turbidity: Sediment • Toxic for aquatic life: Medicine, Plastics, Heavy metals, Toxins Deltares–DSD-INT-2019–wflowuserday 4
  5. 5. Water quality issues: why do we need models “An emission model supplies the quantity of pollutants released in the environment” Often in water quality modelling, the amount of pollutants are estimated once and are stationary used. Thereby they are not subject to change, for example by population increase. This limits the useability of policy scenario’s. Modelling then offers the possibility to: • Better understand the system and pollution sources • Make predictions and scenarios • Evaluate the impact of different policies Deltares–DSD-INT-2019–wflowuserday 5
  6. 6. Contents • Why model water quality issues? • Modelling inland water quality and emissions • Examples of related projects Deltares–DSD-INT-2019–wflowuserday 6
  7. 7. Modelling inland water quality and emissions • Integrated inland water quality modelling at Deltares is modelled using two components of the Delft3D FM Suite: • D-Water Quality (DELWAQ) for fate and transport of pollutants • D-Emissions module for the generation of pollutants Deltares–DSD-INT-2019–wflowuserday 7
  8. 8. Modelling inland water quality and emissions • D-Emissions is a tool to assess the quantity and spatial distribution of the emitted substances in a catchment. • It is source oriented and therefore provides predictive power and allows for what-if scenarios. • It is based on EU guidance. Deltares–DSD-INT-2019–wflowuserday 8
  9. 9. Modelling inland water quality and emissions • One of the main drivers of emission, fate and transport of pollutants through the landscape and water network is the water movements through a catchment coming from hydrologic, hydraulic processes. • In order to build and use an emission/water quality model, the hydrology is therefore also needed: Deltares–DSD-INT-2019–wflowuserday 9 wflow DELWAQ
  10. 10. Modelling inland water quality and emissions • The hydrologic wflow_sbm model is now linked to D-Emissions and D-Water Quality using a coupling script that: • Translates wflow schematization to D-Water Quality schematization • Prepares dynamic inputs needed for water quality modelling (different water fluxes and volumes, emission factors) • Is flexible enough to enable different types of pollutants emissions modelling Deltares–DSD-INT-2019–wflowuserday 10 Hydrologic model Water quality model wflow_sbm D-Emissions D-Water Quality coupling wflow_emwaq
  11. 11. Modelling inland water quality and emissions • The hydrologic wflow_sbm model is now linked to D-Emissions and D-Water Quality using a coupling script that: • Translates wflow schematization to D-Water Quality schematization • Prepares dynamic inputs needed for water quality modelling (different water fluxes and volumes, emission factors) • Is flexible enough to enable different types of pollutants emissions modelling Deltares–DSD-INT-2019–wflowuserday 11Overview of the schematization of a D-Emissions model for nutrients
  12. 12. Contents • Why model water quality issues? • Modelling inland water quality and emissions • Examples of related projects Deltares–DSD-INT-2019–wflowuserday 12
  13. 13. Project examples: Jakarta bay Water quality fate and transport model • Study performed for “PusAir” (Indonesia's governmental agency concerned with water quality). • Focus: What are the most important polluters in regards to nutrients, BOD, COD, Coliform bacteria and heavy metals? • Case study : Jakarta bay, Indonesia • Hydrologic model: SOBEK Deltares–DSD-INT-2019–wflowuserday 13
  14. 14. Project examples: Jakarta bay Deltares–DSD-INT-2019–wflowuserday 14Urea / defecation Total nitrogen Compartmental distribution of emission 100% distributed to Unpaved areas Emission of substance Indicative locator
  15. 15. Project examples: Jakarta bay Deltares–DSD-INT-2019–wflowuserday 15Source: H2I report D-Emissions module Marina Bay
  16. 16. Project examples: Tire road wear Tire road wear fate and transport model • Study performed for “the European Tire and Rubber Manufacturing's Association” (ETRMA). • Focus: What is the portion of Tire road wear particles exported to the Estuaries? • Case study : Seine river , France & Scheldt river, Belgium • Hydrologic model: E-HYPE and upcoming with wflow Deltares–DSD-INT-2019–wflowuserday 16 Tire road wear particles: The wear of tires during driving with your vehicle generates microparticles that are largely polymer based. These particles aggregate with road particles while being emitted to the environment.
  17. 17. Project examples: Tire road wear Deltares–DSD-INT-2019–wflowuserday 17 Example of spatial distribution of Tire Road Wear generation based on roadmaps. Note : In the equation population density was also included.
  18. 18. Project examples: Tire road wear Deltares–DSD-INT-2019–wflowuserday 18 Source: Unice et al., 2019 Per sub-catchment the D-Emissions module resolves the load attributed to the different compartments, in this case Soil.
  19. 19. Project examples: Tire road wear Deltares–DSD-INT-2019–wflowuserday 19 0 20 40 60 80 100 120 140 TRWP(µg/Lastread) Daily Average Annual Average Source: Unice et al., 2019 This figure shows the effect of rainfall on load distribution to surface water
  20. 20. Project examples: SOLUTIONS Water quality fate and transport model for Europe • Study performed for the European FP7 SOLUTIONS project (40 partners) • Focus: Mankind produces more and more chemicals (> 106), how to manage them, in relation to water systems (human health and ecosystem risks)? Can we predict the risks associated with new chemicals at an early stage? Particularly relevant for “data poor” substances. • Case study : Europe • Hydrologic model: E-HYPE Deltares–DSD-INT-2019–wflowuserday 20
  21. 21. Project examples: SOLUTIONS Deltares–DSD-INT-2019–wflowuserday 21 Average dissolved concentrations of 1,2-dichloroethane (CAS 107-06-2)
  22. 22. Project examples: SOLUTIONS Deltares–DSD-INT-2019–wflowuserday 22 Average dissolved concentrations of trifluralin (CAS 1582-09-8)
  23. 23. Project examples: SOLUTIONS Deltares–DSD-INT-2019–wflowuserday 23 0.00 0.20 0.40 0.60 0.80 1.00 1.E+00 1.E+02 1.E+04 1.E+06 1.E+08 msPAFEC50-P99 Human Impact &Water AvailabilityIndicator Best available approach: • state-of-the-art modelling of emissions, fate & transport, mixture effects, expressed as toxic stress on ecosystems (van Gils et al. submitted) • 10,500 water bodies in Europe • 1,785 chemicals X-axis: simple conservative tracer (HIWAI; dependent on population, GDP-PPP, hydrology) Y-axis: best available explicitly simulated toxic stress on ecosystems dashed line: worst case estimate: extrapolate globally
  24. 24. Project examples: Global Water Quality modelling Test cases of global modelling of pressure from chemicals • Study performed for the World Water Quality Alliance (WWQA) • Focus: Using a simplified approach based on SOLUTIONS’ results to estimate globally the ‘’worst case toxic pressure’’ from population and GDP-PPP maps • Case study : Global (one test case per continent) • Hydrologic model: wflow Deltares–DSD-INT-2019–wflowuserday 24
  25. 25. Project examples: Global Water Quality modelling (preliminary results) Deltares–DSD-INT-2019–wflowuserday 25
  26. 26. Project examples: Global Water Quality modelling (preliminary results) Deltares–DSD-INT-2019–wflowuserday 26 PRELIMINARY RESULTS
  27. 27. Project examples: Global Water Quality modelling (preliminary results) Deltares–DSD-INT-2019–wflowuserday 27 PRELIMINARY RESULTS
  28. 28. Project examples: National modelling of plastics leaking to the sea National assessment of plastics leakages to the sea in Indonesia • Study performed for the World Bank • Focus: Estimating the quantity of mismanaged plastics waste released to the coast in Indonesia • Case study : Indonesia • Hydrologic model: wflow Deltares–DSD-INT-2019–wflowuserday 28
  29. 29. terug  sluiten  D e l t a r e s – D S D - I N T - 2 0 1 9 – w f l o w u s e r d a y 29 Thank you for your attention

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