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

概念不确定性、模型合法性和数据采集策略优化（P08）

• 批准号: 342514748
• 金额: --
• 依托单位: Arbeitsgruppe Hydrogeologie
• 依托单位国家: 德国
• 项目类别: Collaborative Research Centres
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/342514748?language=en
• 关键词: Conceptual; Uncertainty; Model; Legitimacy; Optimization

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.

全流域反应性输运模型包括许多非唯一的子模型选择（概念不确定性）。集水区的复杂性需要相对复杂的模型，但不建议使用过于复杂的模型：它们可以拟合几乎任何数据集，但预测能力有限。该项目将调查和量化我们的模型中的概念不确定性，测试该模型与现有数据相比是否具有合理的复杂性，使用该模型优化数据收集策略，并将其研究结果反馈给整个联盟的建模和现场策略。