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Detecting and attributing drought-induced changes in catchment hydrological behaviours in a southeastern Australia catchment using a data assimilation method
Hydrological Processes ( IF 3.2 ) Pub Date : 2021-06-28 , DOI: 10.1002/hyp.14289
Yanghe Liu 1, 2, 3 , Pan Liu 1, 2, 3 , Lu Zhang 4 , Xiaojing Zhang 1, 2, 3 , Yunfan Zhang 1, 2, 3 , Lei Cheng 1, 2, 3
Affiliation  

It is widely recognized that multi-year drought can induce changes in catchment hydrological behaviours. However, at present, our understanding about multi-year drought-induced changes in catchment hydrological behaviours and its driving factors at the process level is still very limited. This study proposed a new approach using a data assimilation technique with a process-based hydrological model to detect multi-year drought-induced changes in catchment hydrological behaviours and to identify driving factors for the changes in an unimpaired Australian catchment (Wee Jasper) which experienced prolonged drought from 1997 to 2009. Modelling experiments demonstrated that the multi-year drought caused a significant change in the catchment rainfall-runoff relationship, indicated by significant step changes in the estimated time-variant hydrological parameters SC (indicating catchment active water storage capacity) and C (reflecting catchment evapotranspiration dynamics), whose average values increased 23.4% and 10.2%, respectively, due to drought. The change in the rainfall-runoff relationship identified by the data assimilation method is consistent with that arrived at by a statistical examination. The proposed method provides insights about the drivers of the changes in the rainfall-runoff relationship at the processes level. Increasing catchment water storage capacity and decreasing ratio of rainfall to soil moisture for supplying actual evapotranspiration during drought are the main driving factors for the catchment behaviours change in the Wee Jasper catchment in terms of model structure. And they are related to decrease in catchment groundwater level and deep soil moisture. The proposed new method can be used as an effective technique for detecting both the change of hydrological behaviours induced by prolonged drought and its driving factors at the process level.

中文翻译:

使用数据同化方法检测和归因澳大利亚东南部流域中干旱引起的流域水文行为变化

人们普遍认为,多年干旱会导致流域水文行为发生变化。然而,目前我们对多年干旱引起的流域水文行为变化及其驱动因素在过程层面的认识还很有限。本研究提出了一种新方法,使用数据同化技术和基于过程的水文模型来检测多年干旱引起的流域水文行为变化,并确定未受损害的澳大利亚流域 (Wee Jasper) 发生变化的驱动因素。从 1997 年到 2009 年持续干旱。模拟实验表明多年干旱导致集水区降雨-径流关系发生显着变化,由估计的时变水文参数 SC(指示集水区主动蓄水能力)和 C(反映集水区蒸发蒸腾动态)的显着阶跃变化表明,由于干旱,其平均值分别增加了 23.4% 和 10.2%。资料同化法确定的降雨径流关系变化与统计检验结果一致。所提出的方法提供了有关过程级别降雨-径流关系变化的驱动因素的见解。从模型结构来看,增加集水蓄水能力和减少降雨与土壤水分比以提供干旱期间的实际蒸发量是 Wee Jasper 流域流域行为变化的主要驱动因素。它们与集水区地下水位下降和深层土壤水分减少有关。所提出的新方法可以作为一种有效的技术来检测由长期干旱引起的水文行为变化及其过程水平的驱动因素。
更新日期:2021-07-21
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