Uncertainty analysis is a useful tool for inspecting and improving detailed kinetic mechanisms because it can identify the greatest sources of model output error. Owing to the very nonlinear relationship between kinetic and thermodynamic parameters and computed concentrations, model predictions can be extremely sensitive to uncertainties in some parameters while uncertainties in other parameters can be irrelevant. Error propagation becomes even more convoluted in automatically generated kinetic models, where input uncertainties are correlated through kinetic rate rules and thermodynamic group values.

中文翻译：

---

自动反应机理生成中相关参数的不确定性分析

不确定性分析是检查和改进详细动力学机制的有用工具，因为它可以识别模型输出误差的最大来源。由于动力学和热力学参数与计算浓度之间存在非常非线性的关系，因此模型预测对某些参数的不确定性极为敏感，而其他参数的不确定性则可能无关紧要。在自动生成的动力学模型中，误差传播变得更加复杂，其中输入不确定性通过动力学速率规则和热力学组值进行关联。