Bronders, J.

Seuntjens, P.

Tang, T.

van Griensven, A.

International Institute for Applied Systems Analysis (IIASA)

Acknowledgement: The work was performed in the framework of the joint doctoral programme of Ting Tang at the Flemish Institute for Technological Research (VITO, Grant No.1310105), Vrije Universiteit Brussel (VUB) and University of Antwerp.European Geosciences Union General Assembly 2018Vienna | Austria | 8–13 April 2018Pesticide use on urban hard surfaces potentially leads to long-term exposure in urban aquatic environment Ting Tang1,2,3*, Piet Seuntjens1,4,5, Jan Bronders1, Ann van Griensven2,61VITO, Flemish Institute for Technological Research, Belgium; 2Vrije Universiteit Brussel, Dept. Hydrology and Hydraulic Engineering, Belgium; 3University of Antwerp, Dept. Bioscience Engineering, Belgium; 4Ghent University, Dept. Soil Management, Belgium; 5University of Antwerp, Institute of Environment and Sustainable Development, Belgium; 6IHE Delft Institute for Water Education, Netherlands; *Currently at International Institute for Applied Systems Analysis (IIASA), Austria The worldwide urbanization leads to increase of hard surfaces (e.g. driveways, roof areas, roads) with artificial materials (e.g. asphalt, concrete, brick). Pesticide use on and around hard surfaces for urban weed and pest control can be a significant source of pesticides in urban surface waters. Estimating pesticide runoff dynamics from hard surfaces is becoming increasingly relevant for urban water and water quality management.  This poster presents the application of a new urban pesticide runoff model, WetSpa-PST1 (WetSpa for PeSTicides) to a residential drainage area2 (Meerhout, Belgium), where a monitoring study was conducted to estimate the runoff dynamics of glyphosate and its main metabolite aminomethylphosphonic acid (AMPA).  The WetSpa-PST model can reasonably reproduce pesticide runoff concentrations and loads in the monitoring study. The potentially persistent occurrence of glyphosate highlights chronic risks to biota in urban waters due to pesticide exposure. This is particularly relevant for hydrophobic pesticides such as pyrethroids due to their stronger sorption capacity.  Regulatory exposure modeling and risk assessment for urban pesticides should include their long-term effects to the aquatic ecosystems.  WetSpa-PST is an extension of the modular hydrological model WetSpa-Python3 (Water and Energy Transfer between Soil, Plants and Atmosphere model in Python). BackgroundOverview of the WetSpa-PST modelSetup and calibration of WetSpa-PST for MeerhoutReferences1 Tang, T., van Griensven, A., Bronders, J., Seuntjens, P., to be submitted. Simulating urban pesticide wash-off from hard surfaces: model development and evaluation using physically-based and empirical approaches2 Tang, T., Boënne, W., Desmet, N., Seuntjens, P., Bronders, J., van Griensven, A., 2015. Quantification and characterization of glyphosate use and loss in a residential area. Sci. Total Environ. 517C, 207–214. doi:10.1016/j.scitotenv.2015.02.0403 Salvadore, E., 2015. Integrated water management of urban catchments: Development of a flexible process-based spatially-distributed hydrological model. Vrije Universiteit Brussel. PhD thesis.4 Doherty, J., 2010. PEST - Model-Independent Parameter Estimation and Uncertainty Analysis User-Mannual:5th Edition.Hard surfaces potentially act as pesticide reservoirsConclusions and perspectivesTo set up the WetSpa-PST model for the Meerhout case study, the following spatial maps (resolution: 1 m × 1 m, 30 min) were used as input maps: The model calibration using PEST4 was conducted in two stages, first the hydrological model and then the pesticide model, with  A simulation duration of three months (May 01 to August 01, 2013), and A calibration period of 58 days (May 07 to July 03, 2013). After calibration, the simulated concentrations and loads were within one order of magnitude of the observed concentrations and loads. A large fraction of glyphosate and AMPA (>85 % of total inputs) was still stored in the study area after the simulation period of three months.  Hard surfaces act as reservoirs for the strongly-adsorbing glyphosate. Glyphosate and AMPA occurrence would potentially persist throughout the year in the receiving water.Key characteristics of WetSpa-PST: A Catchment-scale runoff and pesticide transport model For up to 10 pesticides, and 3 metabolites for each parent substance Fully-distributed to account for spatial details of the urban features  Processes can be simulated at different time steps, depending on data availability and the characteristic temporal scale of each process. LAND USEGlobal calibration parametersModeling frameworkInteractive Surface LayerUnsaturated ZoneSaturated ZoneAtmospherePst_InterceptionPst_ApplicationTop Soil Hard SurfacesLand Surface ProcessesPst_DepressionProcesses Pesticide Routing & RetentionPst_OutputsPesticide storagesCatchment Pesticide Mass BalanceTime seriesRain PETInterceptionOverland Flow & InfiltrationDepression LossesInterflowGroundwater RechargeSoil EvaporationSoil Moisture StorageGIS Pre-processSpatially-distributed data & ParametersIUHCatchment Water BalanceFlow Routing (Surface & Interflow)Groundwater RoutingTotal Discharge Outputs*Contact: Ting Tang ting.tang@vub.betangt@iiasa.ac.at

Pesticide use on urban hard surfaces potentially leads

to long-term exposure in urban aquatic environment

http://pure.iiasa.ac.at/id/eprint/15524/1/EGU2018%20WetSpa-PST%20for%20Meerhout.pdf

Pesticide use on urban hard surfaces potentially leads to long-term exposure in urban aquatic environment

Abstract

Similar works

Full text

Available Versions

International Institute for Applied Systems Analysis (IIASA)