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首页> 外文会议>2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications >Sensitivity analysis to help individual plant model parameterization for winter oilseed rape
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Sensitivity analysis to help individual plant model parameterization for winter oilseed rape

机译：敏感性分析可帮助对冬季油菜的单个植物模型进行参数化

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摘要

Functional Structural Plant models can help to understand plant plasticity. Such a model was developed for winter oilseed rape, based on the GreenLab model. However, the model had a large number of parameters, which made its calibration difficult. In order to simplify the model, we applied sensitivity analysis method to select the most important parameters. Analyses were performed on the following outputs: biomasses of the whole plant, of leaves, internodes and pods. First, the model linearity was computed with the Standardized Regression Method, revealing two phases of high nonlinearity. Second, total sensitivity indices were computed for each parameter with the Sobol method. We deduced that five parameters out of 46 had a prevalent impact on model outputs, while the other had a limited influence and could be fixed to reference values.
机译：功能结构植物模型可以帮助理解植物的可塑性。这种模型是根据GreenLab模型开发的，用于冬季油菜。但是，该模型具有大量参数，因此很难进行校准。为了简化模型，我们采用敏感性分析方法来选择最重要的参数。对以下输出进行了分析：整个植物，叶片，节间和豆荚的生物量。首先，使用标准化回归方法计算模型线性，揭示了两个高度非线性的阶段。其次，使用Sobol方法计算每个参数的总灵敏度指标。我们推论出46个参数中的五个对模型输出有普遍的影响，而另一个则影响有限，可以固定为参考值。

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