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首页> 外文期刊>Water resources research >Estimating seepage flux from ephemeral stream channels using surface water and groundwater level data
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Estimating seepage flux from ephemeral stream channels using surface water and groundwater level data

机译:利用地表水和地下水位数据估算短暂河流的渗流

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摘要

Seepage flux from ephemeral streams can be an important component of the water balance in arid and semiarid regions. An emerging technique for quantifying this flux involves the measurement and simulation of a flood wave as it moves along an initially dry channel. This study investigates the usefulness of including surface water and groundwater data to improve model calibration when using this technique. We trialed this approach using a controlled flow event along a 1387 m reach of artificial stream channel. Observations were then simulated using a numerical model that combines the diffusion-wave approximation of the Saint-Venant equations for streamflow routing, with Philip's infiltration equation and the groundwater flow equation. Model estimates of seepage flux for the upstream segments of the study reach, where streambed hydraulic conductivities were approximately 10~1 m d~(-1) were on the order of 10~(-4) m~3 d~(-1) m~(-2). In the downstream segments, streambed hydraulic conductivities were generally much lower but highly variable (~10~(-3) to 10~(-7) m d~(-1)). A Latin Hypercube Monte Carlo sensitivity analysis showed that the flood front timing, surface water stage, groundwater heads, and the predicted streamflow seepage were most influenced by specific yield. Furthermore, inclusion of groundwater data resulted in a higher estimate of total seepage estimates than if the flood front timing were used alone.
机译:短暂河流的渗流可能是干旱和半干旱地区水平衡的重要组成部分。一种用于量化此通量的新兴技术涉及在洪水波沿最初的干燥通道移动时对其进行测量和模拟。这项研究调查了使用这种技术时,纳入地表水和地下水数据对改善模型标定的有用性。我们对人造河道沿1387 m的可控水流事件进行了试验。然后使用数值模型模拟观测结果,该模型将用于流径流的Saint-Venant方程的扩散波逼近与Philip的入渗方程和地下水流方程相结合。河床水力传导率约为10〜1 md〜(-1)的上游段渗流通量的模型估计约为10〜(-4)m〜3 d〜(-1)m 〜(-2)。在下游段,河床的水力传导率通常要低得多,但变化很大(〜10〜(-3)至10〜(-7)m d〜(-1))。拉丁文Hypercube蒙特卡洛敏感性分析表明,洪水的前锋时间,地表水位,地下水位和预测的水流渗漏受特定产量的影响最大。此外,与单独使用洪水锋时相比,纳入地下水数据可以得出更高的总渗流估计值。

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  • 来源
    《Water resources research》 |2014年第2期|1474-1489|共16页
  • 作者单位

    National Centre for Groundwater Research and Training, School of the Environment, Flinders University, Bedford Park, South Australia, Australia;

    National Centre for Groundwater Research and Training, School of the Environment, Flinders University, Bedford Park, South Australia, Australia;

    National Centre for Groundwater Research and Training, School of the Environment, Flinders University, Bedford Park, South Australia, Australia,School of Geographical Sciences, University of Bristol, Bristol, UK;

    National Centre for Groundwater Research and Training, School of the Environment, Flinders University, Bedford Park, South Australia, Australia,Innovative Groundwater Solutions Pty Ltd, Adelaide, South Australia, Australia;

    National Centre for Groundwater Research and Training, School of the Environment, Flinders University, Bedford Park, South Australia, Australia,Water for a Healthy Country National Flagship, Commonwealth Scientific and Industrial Research Organisation, Division of Land and Water, Adelaide, South Australia, Australia;

    Water for a Healthy Country National Flagship, Commonwealth Scientific and Industrial Research Organisation, Division of Land and Water, Adelaide, South Australia, Australia;

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