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|Title:||Scenario and Parametric Uncertainty in GESAMAC. A Methodological Study in Nuclear Waste Disposal Risk Assessment.|
|Authors:||DRAPER David; PEREIRA Antonio; PRADO Pedro; SALTELLI Andrea; CHEAL Ryan; EGUILIOR Sonsoles; MENDES Bruno; TARANTOLA Stefano|
|Citation:||Computer Physics Communications vol. 117 p. 142-155|
|Type:||Articles in Journals|
|Abstract:||A two-step approach to sensitivity analysis of model output in large computational models is proposed. A preliminary screening exercise is suggested in order to identify the subset of the most potentially explanatory factors. Afterwards, a quantitative method is recommended on the subset of pre-selected inputs. The advantage of the proposed procedure is that, very often, among a large number of input factors, only a few have a significant effect on the model output. The approach provides quantitative sensitivity measures while controlling the computational cost of the experiment. The procedure has been tested on a recent version of a chemical kinetics model of the tropospheric oxidation pathways of dimethylsulphide, including 68 uncertain factors.|
|JRC Institute:||Joint Research Centre Historical Collection|
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