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Identification of the contributing area to river discharge during low-flow periods

机译:确定低流量期间河流排放的贡献区域

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摘要

The increasing severity of hydrological droughts in the Mediterranean basin related to climate change raises the need to understand the processes sustaining low flow. The purpose of this paper is to evaluate simple mixing model approaches, first to identify and then to quantify streamflow contribution during low-water periods. An approach based on the coupling of geochemical data with hydrological data allows the quantification of flow contributions. In addition, monitoring during the low-water period was used to investigate the drying-up trajectory of each geological reservoir individually. Data were collected during the summers of 2018 and 2019 on a Mediterranean river (Gardon de Sainte-Croix). The identification of the end-members was performed after the identification of a groundwater geochemical signature clustered according to the geological nature of the reservoir. Two complementary methods validate further the characterisation: rock-leaching experiments and unsupervised classification ( k -means). The use of the end-member mixture analysis (EMMA) coupled with a generalised likelihood uncertainty estimate (GLUE) (G-EMMA) mixing model coupled with hydrological monitoring of the main river discharge rate highlights major disparities in the contribution of the geological units, showing a reservoir with a minor contribution in high flow becoming preponderant during the low-flow period. This finding was revealed to be of the utmost importance for the management of water resources during the dry period.
机译:地中海盆地与气候变化有关的水文干旱日益严重,因此需要了解维持低流量的过程。本文的目的是评估简单的混合模型方法,首先确定并量化低水位时期的径流贡献。基于地球化学数据与水文数据耦合的方法可以量化流量贡献。此外,利用低水期监测,分别调查了各地质储层干涸轨迹。数据是在 2018 年和 2019 年夏天在地中海河流 (Gardon de Sainte-Croix) 上收集的。在根据储层的地质性质对地下水地球化学特征进行聚类后,对端段进行鉴定。两种互补的方法进一步验证了表征:岩石浸出实验和无监督分类(k-means)。端段混合分析(EMMA)结合广义似然不确定性估计(GLUE)(G-EMMA)混合模型,结合主要河流泄洪速率的水文监测,凸显了地质单元贡献的主要差异,表明在高流量中贡献较小的水库在低流量期间占主导地位。这一发现对干旱时期的水资源管理至关重要。

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