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An Evaluation of Catchment Transit Time Model Parameters: A Comparative Study between Two Stable Isotopes of Water

机译:流域运输时间模型参数的评估:两种稳定水同位素的比较研究

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Using δ 18 O and δ 2 H in mean transit time (MTT) modeling can ensure the verifiability of results across catchments. The main objectives of this study were to (i) evaluate the δ 18 O- and δ 2 H-based behavioral transit time distributions and (ii) assess if δ 18 O and δ 2 H-based MTTs can lead to similar conclusions about catchment hydrologic functioning. A volume weighted δ 18 O (or δ 2 H) time series of sampled precipitation was used as an input variable in a 50,000 Monte Carlo (MC) time-based convolution modeling process. An observed streamflow δ 18 O (or δ 2 H) time series was used to calibrate the model to obtain the simulated time series of δ 18 O (or δ 2 H) of the streamflow within a nested system of eight Prairie catchments in Canada. The model efficiency was assessed via a generalized likelihood uncertainty estimation by setting a minimum Nash–Sutcliffe Efficiency threshold of 0.3 for behavioral parameter sets. Results show that the percentage of behavioral parameter sets across both tracers were lower than 50 at the majority of the studied outlets; a phenomenon hypothesized to have resulted from the number of MC runs. Tracer-based verifiability of results could be achieved within five of the eight studied outlets during the model process. The flow process in those five outlets were mainly of a shallow subsurface flow as opposed to the other three outlets, which experienced other additional flow dynamics. The potential impacts of this study on the integrated use of δ 18 O and δ 2 H in catchment water storage and release dynamics must be further investigated in multiple catchments within various hydro-physiographic settings across the world.
机译:在平均渡越时间(MTT)建模中使用δ18 O和δ2 H可以确保跨流域的结果的可验证性。这项研究的主要目标是(i)评估基于δ18 O和δ2 H的行为时间分布,以及(ii)评估基于δ18 O和δ2 H的MTT是否可以得出关于集水量的类似结论水文功能。在50,000蒙特卡洛(MC)基于时间的卷积建模过程中,将采样降水的体积加权δ18 O(或δ2 H)时间序列用作输入变量。在加拿大八个草原流域的嵌套系统中,使用观测到的水流δ18 O(或δ2 H)时间序列来校准模型,以获得模拟的δ18 O(或δ2 H)时间序列。通过将行为参数集的最低Nash-Sutcliffe效率阈值设置为0.3,通过广义似然不确定性评估来评估模型效率。结果表明,在大多数研究机构中,两种示踪剂的行为参数集所占百分比均低于50。假设是由于MC运行次数导致的现象。在模型过程中,可以在八个研究的网点中的五个网点中实现基于示踪剂的结果验证。与其他三个出口相反,这五个出口的流动过程主要是浅层地下流动。这项研究对流域水存储和释放动力学中δ18 O和δ2 H的综合利用的潜在影响,必须在世界范围内各种水文地理环境下的多个流域中进一步研究。

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