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M 3 , WFD and POCIS

Modeling of pesticide fate in a luxembourgish catchment with the Soil and Water Assessment Tool (SWAT) – On the use of passive samplers for model validation. Stefan Julich 1& ² , Tom Gallé², Marion Frelat², Michael Bayerle², Hassanya El Khabbaz² & Denis Pittois²

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M 3 , WFD and POCIS

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  1. Modeling of pesticide fate in a luxembourgish catchment with the Soil and Water Assessment Tool (SWAT) – On the use of passive samplers for model validation Stefan Julich1&² , Tom Gallé², Marion Frelat², Michael Bayerle², Hassanya El Khabbaz² & Denis Pittois² 1 DresdenUniversity of Technology, Instit. for Soil Science & Site Ecology ² CRTE, CRP Henri Tudor - Luxembourg

  2. M3, WFD and POCIS • M3 is a demonstration project for WFD policy implementation of the LIFE+ programme • M3 tests state-of-the-art monitoring and modelling tools for programme of measures (POM) evaluation • Can passive samplers (POCIS) help to validate and improve simulations of pesticide fate ?

  3. Sources and dynamics of pesticide emissions

  4. Emission modeling of pesticides Main challenges in model calibration • Monitoring data covering the dynamics of the emissionpathways/sources • Pesticide application date, amount, formulation and spatial distribution are unkown • Compound fateproperties t1/2 and KOC are spatially variable • Calibration atcatchmentoutlet, no distributed calibration possible t1/2 = 15 d Log KOC = 1.51

  5. Case studyWark:Monitoring setup 4 6 3 5 2 1

  6. The Model • SWAT is a river basin scale model • developed to quantify the impact • of land management practices • in complex watersheds. • developed by USDA-ARS in 90’s • ongoing model development • Widely internationally used SoilandWaterAssessmentTool

  7. The Model Foliar Application Pesticide Dynamics Surface Application Degradation Runoff Washoff Infiltration Degradation Leaching

  8. Data Needs forpesticidefatemodelling ?

  9. WWTPs as a pesticide source

  10. Loads – observed vs. simulated 4 6 3 5 2 1

  11. Loads – observed vs. simulated Mertzig 4 6 3 5 2 Niederfeulen 1

  12. Conclusions & outlook • Passive samplers can yield important (semi-)quantitative information on spatial sources of pesticide emissions • It is possible to discern and calculate mean concentrations for low flow and flood event periods • Low-flow estimates are needed (groundwater & WWTP contribution) to quantify unknown events • Passive samplers are time-proportional, i.e. they are non-reactive to discharge amounts (within the river flow ranges) • Extrapolating loads per catchment remains difficult (Rs variability, discharge concentration correlation-bias)

  13. Event loadswith long term POCIS 4 6 3 5 2 1

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