Conceptual Uncertainty, Model Legitimacy, and Optimization of Data Acquisition Strategies (P08)

流域范围内的反应性输送模型包括许多非唯一的子模型选择(概念不确定性)。流域的复杂性需要相对复杂的模型，但不建议过于复杂的模型：它们可以适用于几乎任何数据集，但预测能力有限。该项目将调查和量化我们模型中的概念不确定性，测试该模型相对于现有数据的复杂性是否合理，使用该模型来优化数据收集策略，并将其研究结果反馈给整个联盟的建模和实地战略。

Catchment-wide models of reactive transport include many non-unique selections of sub-models (conceptual uncertainty). The complexity of catchments requires relatively complex models, but too complex models are not recommended: they can be fitted to almost any data set, yet have a limited predictive power. The project will investigate and quantify conceptual uncertainty within our model, test whether the model is legitimate in its complexity compared to the available data, use the model to optimize strategies for data collection, and feedback its research findings to the modeling and field strategy of the overall consortium.