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Dynamic Transport and Fate Models for Micro-pollutants in Integrated Urban Wastewater Systems L. Benedetti 1, L. Vezzaro 2, V. Gevaert 1, W. De Keyser.

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Presentation on theme: "Dynamic Transport and Fate Models for Micro-pollutants in Integrated Urban Wastewater Systems L. Benedetti 1, L. Vezzaro 2, V. Gevaert 1, W. De Keyser."— Presentation transcript:

1 Dynamic Transport and Fate Models for Micro-pollutants in Integrated Urban Wastewater Systems L. Benedetti 1, L. Vezzaro 2, V. Gevaert 1, W. De Keyser 1, F. Verdonck 1,3, B. De Baets 4, I. Nopens 1, P.A. Vanrolleghem 5 and P.S. Mikkelsen 2 BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University 1 DTU Environment, Technical University of Denmark 2 EURAS, Ghent, Belgium 3 KERMIT, Department of Applied Mathematics, Biometrics and Process Control, Ghent University 4 modelEAU, Université Laval, Quebec, Canada 5 Evaluating Source Control Options for Reducing Emissions of Micropollutants Quebec City, Canada, 6 October 2009 EURAS

2 Outlook  IUWS modelling  MP fate processes  Integration  Inputs  Example

3 Number of sources (emission strings) for each MP Environmental data is limited and of poor quality Data for treatment efficiency is even more sparse

4 But we have data for inherent properties of MPs  Chemical IDs; CAS#, EINECS, Merck #  Molecular formula  Physical appearance  Density (n), g/mL  Molecular weight (M w ), g/mole  Melting point (T m ), °C  Boiling point (T b ), °C  Solubility in water (S w ), mg/L  Lipid solubility of neutral species (log K OW )  Lipid solubility of ionized species (log D OW )  Vapour pressure, mm Hg  Acid dissociation constant (pK a )  Henry’s law constant (K h ), atm  m 3 /mole  Diffusion coefficient, m 2 /d For database, see

5 Model types 5 Integrated Urban Water System (IUWS) modelling Evolution so far: Extension 1 (EU project ScorePP) Multimedia Fate and Transport Modelling (MFTM) Micropollutant modelling in multiple interconnected environmental “media” Less detailed process knowledge but based on chemical’s inherent properties Extension 2 (EU project ScorePP) individual sub-systems modelling (drainage, WWTP, rivers, …) integrated modelling of the whole urban water system “traditional” pollutants (COD, P, N, TSS) micropollutants (flame retardants, pesticides, plastic softeners, PAHs, …) IUWS model with MPs + MFTM Combined MFTM and IUWS model for MPs

6 IUWS model with MPs SOURCES RELEASE SURFACE WATER Sludge Soil / Groundwater Air Sediments Water Air Boundaries of the urban system Treatment options Fate models technosphere Fate models environment Septic tankActivated sludge on-line sludge treatment biofilters Physical-chemical treatment WWTP Lagoon/pond Stormwater BMPs

7 7 River basin Urban catchment (dynamic) Atmosphere Upstream river stretch River Deposition Agricultural soil Groundwater Release Leaching Runoff Urban releases Sewer systems Stormwater BMPs WWTP Volatilization Wrapping MFTM around IUWS models

8 Dynamic IUWS model for organic micropollutants 8 Components of the standard IUWS model: Hydrological catchment runoff and sewer transport model: simplified KOSIM Activated sludge processes: ASM2d Settling: 1-D model River: RWQM1 Stormwater treatment: Universal Stormwater Treatment Model Extensions for organic micropollutants (ScorePP): Adsorption / desorption Biodegradation (aerobic / anoxic) Hydrolysis Sedimentation / resuspension Photolysis Sediment-water exchange Volatilization

9 MP fate processes

10 Multimedia fate and transport model (MFTM) 10 Based on SimpleBox (RIVM, The Netherlands, MS Excel ® ) Level III / IV Mackay-type model (dynamic) No fugacity (the pollutant’s mass is the main state variable) Automatic estimation of unknown parameters (relations based on physical-chemical properties) Implemented media: soil, water, sediment, air Added: simple groundwater compartment

11 Modelling and simulation platform 11 Options for IUWS model and MFTM integration Interfacing different stand-alone models (software, e.g. Open MI) Implementing both models in the same software WEST ® (MOSTforWATER, Belgium) IUWS model for organic micropollutants already available (ScorePP) MFTM was implemented in WEST ® Easy interfacing (bidirectional linking) with integrated model Very flexible (compartments / processes) (  existing hard-coded multimedia model tools) Steady state and dynamic simulations possible Also usable as stand-alone multimedia model

12 DATABASE IUWS MODEL Input generation tool Yearly loads Dynamics Dynamic input generation to KOSIM

13 Daily patternWeekly patternYearly pattern

14 The UWREM2000 problem area/model  Simplification of real catchment in Copenhagen  Many years of work behind the simplifications (of data AND model)  Used extensively in e-Learning course at DTU with free simulation tool for download (no MP+MFTM)

15 Layout of the integrated environmental model (IUWS+MFTM) 15

16 Example: micropollutant DEHP 16 Endocrine disruptor, probable effects on (male) fertility Uses: Plasticizer in manufacturing of PVC articles Hydraulic and dielectric fluid Produced and used in large quantities ( tons/year in EU) Properties: Low vapor pressure Low water solubility Degradability: mainly photolysis and aerobic biodegradation Bis(2-ethylhexyl)phthalate

17 17 Example: scenario: decoupling stormwater (infiltration pond) Combined sewer system Stormwater to infiltration ponds Infiltration pond soil (ug/kg solids)

18 Conclusions & future challenges 18 Coupling a multimedia model to an integrated urban water quality model Is a (relatively) small effort Provides boundary conditions to the IUWS model Allows the IUWS model to provide emission data to the multimedia model Allows integrated environmental assessment: holistic view on micropollutant fate and distribution impact of urban pollution control actions on other environmental compartments Definition and simulation of scenarios Different MPs Different control options (end-of-pipe vs. at-source) Emission control strategies in relation to the European Water Framework Directive

19 Conclusions & future challenges 19 Coupling a multimedia model to an integrated urban water quality model Is a (relatively) small effort Provides boundary conditions to the IUWS model Allows the IUWS model to provide emission data to the multimedia model Allows integrated environmental assessment: holistic view on micropollutant fate and distribution impact of urban pollution control actions on other environmental compartments Definition and simulation of scenarios Calibration and uncertainty analysis on the inputs (urban sources of micropollutants) on the IUWS model for micropollutants on the combined MFTM+IUWS model

20 Conclusions & future challenges 20 Coupling a multimedia model to an integrated urban water quality model Is a (relatively) small effort Provides boundary conditions to the IUWS model Allows the IUWS model to provide emission data to the multimedia model Allows integrated environmental assessment: holistic view on micropollutant fate and distribution impact of urban pollution control actions on other environmental compartments Definition and simulation of scenarios Calibration and uncertainty analysis

21 Source Control Options for Reducing Emission of Priority Pollutants from Urban Areas Thanks to many other colleagues from:  Middlesex University, UK  Gent University, Belgium  Anjou Recherce, France  ENVICAT Consulting, Belgium  University of Ljubljana, Slovenia  ESTUDIS, Spain  Environmental Monitoring, Stockholm City, Sweden  modelEAU, Canada and to the European Commission: Project Coordinator: Peter Steen Mikkelsen DTU Environment, Dept. of Environ. Engineering Technical University of Denmark


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