1. Models to predict metal leaching to ground- and surface water: from soil data to scenario studies Bert-Jan Groenenberg, Luc Bonten, Paul Römkens

2. Introduction Use of reactive transport models in risk assessment of contaminant transport to ground- and surface waters: Site applications Generic risk assessment e.g.: Derivation of maximum leaching of metals from building materials to groundwater Evaluation of sustainable soil management, according to the Dutch Soil Quality Decree, on the long term quality of (shallow) groundwater (UMG project: RIVM, ECN and Alterra) Calculation of metal loads from soils to surface waters in NL (Emissieregistratie) Scenario studies: evaluation of measures to reduce metal inputs to sggricultural soils Need for validation c

3. Geochemical models partition relation multisurface model adsorption/ desorption complexatio n soil solution soil solid phase

4. Evaluation geochemical models Data from 118 Dutch soil samples from all major soil types Prediction of total solution concentrations from: Total reactive metal in soil (0.43 M HNO 3 ) SOM Al/Fe-(hydr)oxides Clay content pH DOC / FA and HA

5. Evaluation geochemical models As partition relation multisurface model

6. Evaluation geochemical model Cu partition relation multisurface model

7. Transport Model Soil column 0-150 cm Discretisized in layers of 10 cm thickness Continuous flow Every timestep: Transport Equilibration between solution and solid phase (chemical model)

8. Hindcast simulation

9. Metal leaching to surface waters

10. System STONE model, 6405 unique combinations of: land use drainage conditions soil type (0-13 m -gl): soil chemical properties soil physical properties Model schematization

11. Contribution to Cu Zn leaching deposition industry sewage traffic other

12. Scenario analysis

13. Total load on soil and leaching to surface water

14. Conclusions The combination of soil data and geochemical models is a helpful tool for many questions.

15. Thank you for your attention! We acknowledge:Rob Comans, Joris Dijkstra (ECN) Job Spijker (RIVM) © Wageningen UR