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The importance of snowmelt spatiotemporal variability for isotope-based hydrograph separation in a high-elevation catchment

机译:高海拔流域融雪时空变异对于基于同位素的水文图分离的重要性

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Seasonal snow cover is an important temporary water storage in high-elevation regions. Especially in remote areas, the available data are often insufficient to accurately quantify snowmelt contributions to streamflow. The limited knowledge about the spatiotemporal variability of the snowmelt isotopic composition, as well as pronounced spatial variation in snowmelt rates, leads to high uncertainties in applying the isotope-based hydrograph separation method. The stable isotopic signatures of snowmelt water samples collected during two spring 2014 snowmelt events at a north- and a south-facing slope were volume weighted with snowmelt rates derived from a distributed physics-based snow model in order to transfer the measured plot-scale isotopic composition of snowmelt to the catchment scale. The observed iδ/isup18/supO values and modeled snowmelt rates showed distinct inter- and intra-event variations, as well as marked differences between north- and south-facing slopes. Accounting for these differences, two-component isotopic hydrograph separation revealed snowmelt contributions to streamflow of 35?±?3 and 75?±?14?% for the early and peak melt season, respectively. These values differed from those determined by formerly used weighting methods (e.g., using observed plot-scale melt rates) or considering either the north- or south-facing slope by up to 5 and 15?%, respectively.
机译:季节性积雪是高海拔地区重要的临时蓄水设施。尤其是在偏远地区,可用数据通常不足以准确量化融雪对水流的贡献。关于融雪同位素组成的时空变化的有限知识,以及融雪速率的明显空间变化,导致在应用基于同位素的水文图分离方法时存在很高的不确定性。使用从基于物理学的分布式雪模型得出的融雪速率,对2014年春季两次朝北和朝南坡度融雪事件期间收集的融雪水样品的稳定同位素特征进行体积加权,以转移测得的标尺尺度同位素融雪的组成到集水规模。观测到的δ 18 O值和模拟的融雪速率显示出不同的事件间和事件内变化,以及北坡和南坡之间的明显差异。考虑到这些差异,两组分同位素水文法分离显示融雪对融雪初期和高峰季节的流量分别贡献了35?±?3和75?±?14?%。这些值不同于以前使用的加权方法确定的值(例如,使用观察到的样地融化速率),或者分别考虑了朝北或朝南的坡度,分别高达5%和15%。

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