Understanding and interpretation of catchment behaviour with a top down approach. Further development of flexible modul structures for hypothesis testing

用自上而下的方法理解和解释流域行为。

• 批准号: 200778246
• 负责人: Dr.-Ing. Fabrizio Fenicia
• 金额: --
• 依托单位: Centre de Recherche Public Gabriel Lippmann
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/200778246?language=en
• 关键词: Understanding; interpretation; catchment; behaviour; top

Understanding large scale hydrological behaviour remains an unresolved challenge of contemporary hydrology. Several avenues to address this problem have been proposed, which can be broadly classified in the ‘top-down’ and ‘bottom-up’ approaches. Both approaches face important challenges and limitations, and it is increasingly recognized that their simultaneous use makes a significant impact on better understanding hydrological processes. This project relates to the ‘Research Unit’ and the other ‘Work Packages’ as it addresses common research questions following a ‘top-down’ approach, while the approach adopted by the other sub-projects is mainly ‘bottom-up’. The ‘top-down’ approach is a systematic framework to learning from data, which relies on the testing of hypotheses at every step of analysis. Acknowledging the limitations of current approaches for model development and testing, we propose flexible model approaches as an instrument for incisive hypothesis testing. The main objectives of this project are (i) to extend the capabilities of current flexible frameworks, and (ii) to use flexible frameworks for a systematic investigation of catchment behaviour. We propose a flexible model approach based on generic elements which provide finer granularity and larger flexibility than existing flexible frameworks. This framework is applied to different case studies to investigate (i) the relation between fieldwork-based representation of the landscape in hydrological response units and the overall catchment response, and (ii) the estimation of mean residence time and its relation to catchment properties.

了解大尺度水文行为仍然是当代水文学尚未解决的挑战。已经提出了解决这个问题的几种途径，可以大致分为“自上而下”和“自下而上”的方法。这两种方法都面临重大挑战和限制，人们日益认识到，同时使用这两种方法对更好地了解水文过程产生重大影响。这个项目与“研究股”和其他“工作包”有关，因为它采用“自上而下”的方法处理共同的研究问题，而其他分项目采用的方法主要是“自下而上”。“自上而下”的方法是从数据中学习的系统框架，它依赖于在分析的每一步对假设的检验。承认目前的模型开发和测试方法的局限性，我们提出了灵活的模型方法作为一种工具，精辟的假设检验。该项目的主要目标是：（一）扩大目前的灵活框架的能力，（二）使用灵活的框架进行集水行为的系统调查。我们提出了一个灵活的模型方法的基础上，提供更细的粒度和更大的灵活性比现有的灵活框架的通用元素。该框架适用于不同的案例研究，调查（一）基于实地考察的代表性的景观水文响应单元和整体集水响应之间的关系，及（二）平均停留时间的估计及其与集水属性。