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| Titel |
Spatially distributed modelling of pesticide leaching at European scale with the PyCatch modelling framework |
| VerfasserIn |
Oliver Schmitz, Marcel van der Perk, Derek Karssenberg, Tim Häring, Bernhard Jene |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250150294
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| Publikation (Nr.) |
 EGU/EGU2017-14737.pdf |
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| Zusammenfassung |
| The modelling of pesticide transport through the soil and estimating its leaching to
groundwater is essential for an appropriate environmental risk assessment. Pesticide leaching
models commonly used in regulatory processes often lack the capability of providing a
comprehensive spatial view, as they are implemented as non-spatial point models or only use
a few combinations of representative soils to simulate specific plots. Furthermore, their
handling of spatial input and output data and interaction with available Geographical
Information Systems tools is limited. Therefore, executing several scenarios simulating and
assessing the potential leaching on national or continental scale at high resolution is
rather inefficient and prohibits the straightforward identification of areas prone to
leaching.
We present a new pesticide leaching model component of the PyCatch framework
developed in PCRaster Python, an environmental modelling framework tailored to
the development of spatio-temporal models (http://www.pcraster.eu). To ensure a
feasible computational runtime of large scale models, we implemented an elementary
field capacity approach to model soil water. Currently implemented processes are
evapotranspiration, advection, dispersion, sorption, degradation and metabolite
transformation. Not yet implemented relevant additional processes such as surface
runoff, snowmelt, erosion or other lateral flows can be integrated with components
already implemented in PyCatch. A preliminary version of the model executes a
20-year simulation of soil water processes for Germany (20 soil layers, 1 km2 spatial
resolution, and daily timestep) within half a day using a single CPU. A comparison
of the soil moisture and outflow obtained from the PCRaster implementation and
PELMO, a commonly used pesticide leaching model, resulted in an R2 of 0.98
for the FOCUS Hamburg scenario. We will further discuss the validation of the
pesticide transport processes and show case studies applied to European countries. |
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