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Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity

机译:MONICA模型的时间敏感性分析:两种全局方法在参数敏感性动力学分析中的应用

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摘要

Sensitivity analysis (SA) is often applied to evaluate the behavior of ecological models in which the integrated soil and crop processes often vary over time. In this study, the time dependence of the parameter sensitivity of a process-based agro-ecosystem model was analyzed for various sites and model outputs. We applied the Morris screening and extended FAST methods by calculating daily sensitivity measures. By analyzing the daily elementary effects using the Morris method, we were able to identify more sensitive parameters compared with the original approach. The temporal extension of the extended FAST method revealed changes in parameter sensitivity during the simulation time. In addition to the dynamic parameter sensitivity, we noticed different relationships between parameter sensitivity and simulation time. The temporal SA performed in this study improves our understanding of the investigated model’s behavior and demonstrates the importance of analyzing the sensitivity of ecological models over the entire simulation time.
机译:敏感性分析(SA)通常用于评估生态模型的行为,在该模型中,土壤和作物的综合过程通常会随时间变化。在这项研究中,对基于过程的农业生态系统模型的参数敏感性的时间依赖性进行了分析,用于各种地点和模型输出。我们通过计算每日敏感度指标应用了Morris筛查和扩展的FAST方法。通过使用Morris方法分析每日的基本影响,与原始方法相比,我们能够确定更敏感的参数。扩展FAST方法的时间扩展揭示了仿真期间参数灵敏度的变化。除了动态参数灵敏度外,我们还注意到了参数灵敏度与仿真时间之间的不同关系。在这项研究中执行的时间SA增进了我们对所研究模型行为的理解,并证明了在整个仿真时间内分析生态模型敏感性的重要性。

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