Transit time distributions of a conceptual model: their characteristics and sensitivities

Transit time distributions of a conceptual model: their characteristics and sensitivities
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概念模型的渡越时间分布:其特征和敏感性

DOI:
10.1002/hyp.7560
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发表时间:
2010
影响因子:
3.2
通讯作者:
C. Soulsby
C. Soulsby
中科院分区:
地球科学3区
文献类型:
--
作者:
S. Dunn;C. Birkel;D. Tetzlaff;C. Soulsby

文献摘要

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通过生成模型的传输时间分布,研究了概念水文和示踪剂传输模型STREAM的内部行为。该模型已应用于苏格兰东部鲁南水的一个小集水区,在那里分析了日降水和溪流水样本的同位素含量。通过对模型中示踪剂的脉冲输入进行数值跟踪,并对模拟流输出进行评估,得到了传输时间分布。首先通过对水流时间序列的校正,建立了一套基线模拟。然后进行了一系列模型实验,以评估模拟的过境时间分布对不同模型参数化、流动路径和混合假设的敏感性。分析结果表明,模型的传输时间分布不符合任何简单的统计函数,其特征会因模型的建立方式而发生显著变化。分析为模型的功能提供了有价值的见解,并且可以有效地应用于其他模型代码。将概念模型生成的传输时间分布与基于数据的经验证据的分布进行比较,有可能缩小理解汇水系统为何如此行为的物理解释的差距。版权所有©2010 John Wiley & Sons, Ltd
The internal behaviour of a conceptual hydrological and tracer transport model, STREAM, has been examined through generation of transit time distributions for the model. The model has been applied to a small sub‐catchment of the Lunan Water in the east of Scotland where daily precipitation and stream water samples have been analysed for isotope content. Transit time distributions are generated by numerically tracking pulse inputs of tracer to the model and evaluating the simulated stream outputs. A set of baseline simulations was first established through calibration to time series of stream flow. A series of model experiments was then undertaken to assess the sensitivity of the simulated transit time distributions to different model parameterizations, flow paths and mixing assumptions. The results of the analysis show that the model transit time distributions do not conform to any simple statistical function and that their characteristics can be significantly altered depending on how the model is set up. The analysis provided valuable insight into the functioning of the model and could be usefully applied to other model codes. Comparison of the transit time distributions generated by conceptual models with data‐based empirical evidence of distributions gives the potential to close the gap in understanding the physical explanation for why catchment systems behave as they do. Copyright © 2010 John Wiley & Sons, Ltd.