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Manuscript submitted to environmental modelling and software an effective strategy for combining variance- and distribution-based global sensitivity analysis
Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.envsoft.2020.104851
Gabriele Baroni , Till Francke

We present a new strategy for performing global sensitivity analysis capable to estimate main and interaction effects from a generic sampling design. The new strategy is based on a meaningful combination of variance- and distribution-based approaches. The strategy is tested on four analytic functions and on a hydrological model. Results show that the analysis is consistent with the state-of-the-art Saltelli/Jansen formula but to better quantify the interaction effect between the input factors when the output distribution is skewed. Moreover, the estimation of the sensitivity indices is much more robust requiring a smaller number of simulations runs. Specific settings and alternative methods that can be integrated in the new strategy are also discussed. Overall, the strategy is considered as a new simple and effective tool for performing global sensitivity analysis that can be easily integrated in any environmental modelling framework.



中文翻译:

手稿已提交给环境建模和软件,是基于方差和分布的全局敏感性分析相结合的有效策略

我们提出了一种执行全局敏感性分析的新策略,该策略能够从通用采样设计中估算主要影响和交互作用。新策略基于基于差异和分布的方法的有意义的组合。在四个分析功能和水文模型上对该策略进行了测试。结果表明,该分析与最新的Saltelli / Jansen公式一致,但可以更好地量化输出分布偏斜时输入因子之间的相互作用。而且,灵敏度指数的估计更加鲁棒,需要进行更少数量的仿真。还讨论了可以集成到新策略中的特定设置和替代方法。总体,

更新日期:2020-09-16
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