Articles | Volume 16, issue 11
https://doi.org/10.5194/gmd-16-3137-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3137-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
05 Jun 2023
Methods for assessment of models |
| 05 Jun 2023
| 05 Jun 2023
How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model
INRAE, RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne CEDEX, France
Claire Lauvernet
INRAE, RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne CEDEX, France
Bruno Sudret
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Arthur Vidard
Inria, CNRS, Univ. Grenoble-Alpes, Grenoble-INP, LJK, 38000 Grenoble, France
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Hydrological models are useful for assessing the impact of landscape organization for effective mitigation strategies. However, using these models requires reducing uncertainties in their results, which can be achieved through model–data fusion. We integrate satellite surface moisture images into a water and pesticide transfer model. We compare three methods, studying their performance and exploring various scenarios. This study helps improve decision support in water quality management.
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Short summary
Water and pesticide transfer models are complex and should be simplified to be used in decision support. Indeed, these models simulate many spatial processes in interaction, involving a large number of parameters. Sensitivity analysis allows us to select the most influential input parameters, but it has to be adapted to spatial modelling. This study will identify relevant methods that can be transposed to any hydrological and water quality model and improve the fate of pesticide knowledge.
Water and pesticide transfer models are complex and should be simplified to be used in decision...
