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Following tracer through the unsaturated zone using a multiple interacting pathways model: Implications from laboratory experiments

机译:使用多种相互作用路径模型追踪示踪剂穿过不饱和带:实验室实验的意义

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摘要

Models must effectively represent velocities and celerities if they are to address the old water paradox. Celerity information is recorded indirectly in hydrograph observations, whereas velocity information is more difficult to measure and simulate effectively, requiring additional assumptions and parameters. Velocity information can be obtained from tracer experiments, but we often lack information on the influence of soil properties on tracer mobility. This study features a combined experimental and modelling approach geared towards the evaluation of different structures in the multiple interacting pathways (MIPs) model and validates the representation of velocities with laboratory tracer experiments using an undisturbed soil column. Results indicate that the soil microstructure was modified during the experiment. Soil water velocities were represented using MIPs, testing how the (a) shape of the velocity distribution, (b) transition probability matrices (TPMs), (c) presence of immobile storage, and (d) nonstationary field capacity influence the model's performance. In MIPs, the TPM controls exhanges of water between pathways. In our experiment, MIPs were able to provide a good representation of the pattern of outflow. The results show that the connectedness of the faster pathways is important for controlling the percolation of water and tracer through the soil. The best model performance was obtained with the inclusion of immobile storage, but simulations were poor under the assumption of stationary parameters. The entire experiment was adequately simulated once a time-variable field capacity parameter was introduced, supporting the need for including the effects of soil microstructure changes observed during the experiment.
机译:如果模型要解决旧的水悖论,就必须有效地代表速度和速度。速度信息是间接记录在水文观测中的,而速度信息则更难于有效地测量和模拟,需要额外的假设和参数。速度信息可以从示踪剂实验中获得,但是我们经常缺乏有关土壤性质对示踪剂迁移率影响的信息。这项研究采用了一种结合了实验和建模方法的方法,旨在评估多种相互作用路径(MIPs)模型中的不同结构,并使用未受干扰的土壤柱通过实验室示踪剂实验验证了速度的表示。结果表明,在实验过程中土壤的微观结构发生了改变。使用MIP表示土壤水速,测试(a)速度分布的形状,(b)转移概率矩阵(TPM),(c)固定存储的存在以及(d)非平稳场容量如何影响模型的性能。在MIP中,TPM控制路径之间的水流。在我们的实验中,MIP能够很好地表示流出模式。结果表明,较快路径的连通性对于控制水和示踪剂在土壤中的渗透非常重要。包括固定存储在内,可以获得最佳的模型性能,但是在固定参数的假设下,模拟效果很差。一旦引入了随时间变化的场容量参数,就可以对整个实验进行充分的模拟,从而支持将实验过程中观察到的土壤微观结构变化的影响包括在内的需求。

著录项

  • 来源
    《Hydrological Processes》 |2019年第17期|2300-2313|共14页
  • 作者单位

    Stockholm Univ, Dept Phys Geog, Svante Arrhenius Vag 8, SE-10691 Stockholm, Sweden|Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, Catchment & Ecohydrol Res Grp CAT, Belvaux, Luxembourg|Univ Lancaster, Lancaster Environm Ctr, Lancaster, England;

    Uppsala Univ, Geoctr, Uppsala, Sweden;

    Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, Catchment & Ecohydrol Res Grp CAT, Belvaux, Luxembourg;

    Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, Catchment & Ecohydrol Res Grp CAT, Belvaux, Luxembourg;

    Univ Lancaster, Lancaster Environm Ctr, Lancaster, England;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    celerity; soil properties; tracer mobility; velocity;

    机译:芹菜;土壤性质;示踪机会移动;速度;

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