Articles | Volume 16, issue 11
https://doi.org/10.5194/gmd-16-3137-2023
https://doi.org/10.5194/gmd-16-3137-2023
Methods for assessment of models
 | 
05 Jun 2023
Methods for assessment of models |  | 05 Jun 2023

How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model

Emilie Rouzies, Claire Lauvernet, Bruno Sudret, and Arthur Vidard

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Cited articles

Alipour, A., Jafarzadegan, K., and Moradkhani, H.: Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping, 152, 105398, https://doi.org/10.1016/j.envsoft.2022.105398, 2022. a
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Antoniadis, A., Lambert-Lacroix, S., and Poggi, J.-M.: Random forests for global sensitivity analysis: A selective review, Reliab. Eng. Syst. Safe., 206, 107312, https://doi.org/10.1016/j.ress.2020.107312, 2021. a
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Archer, G. E. B., Saltelli, A., and Sobol, I. M.: Sensitivity measures, ANOVA-like Techniques and the use of bootstrap, J. Stat. Comput. Sim., 58, 99–120, https://doi.org/10.1080/00949659708811825, 1997. a
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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.