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首页> 外文期刊>Water resources research >Determination of hyporheic travel time distributions and other parameters from concurrent conservative and reactive tracer tests by local-in-global optimization
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Determination of hyporheic travel time distributions and other parameters from concurrent conservative and reactive tracer tests by local-in-global optimization

机译:通过并发的保守和反应示踪剂测试,通过局部全局优化确定流变行程时间分布和其他参数

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The complexity of hyporheic flow paths requires reach-scale models of solute transport in streams that are flexible in their representation of the hyporheic passage. We use a model that couples advective-dispersive in-stream transport to hyporheic exchange with a shape-free distribution of hyporheic travel times. The model also accounts for two-site sorption and transformation of reactive solutes. The coefficients of the model are determined by fitting concurrent stream-tracer tests of conservative (fluorescein) and reactive (resazurin/resorufin) compounds. The flexibility of the shape-free models give rise to multiple local minima of the objective function in parameter estimation, thus requiring global-search algorithms, which is hindered by the large number of parameter values to be estimated. We present a local-in-global optimization approach, in which we use a Markov-Chain Monte Carlo method as global-search method to estimate a set of in-stream and hyporheic parameters. Nested therein, we infer the shape-free distribution of hyporheic travel times by a local Gauss-Newton method. The overall approach is independent of the initial guess and provides the joint posterior distribution of all parameters. We apply the described local-in-global optimization method to recorded tracer breakthrough curves of three consecutive stream sections, and infer section-wise hydraulic parameter distributions to analyze how hyporheic exchange processes differ between the stream sections.
机译:流体流动路径的复杂性要求溶质在水流中的传递规模模型能够灵活地表示流体通道。我们使用一个模型,将对流分散的流内运输与流变交换与无流变传播时间的无形分布耦合。该模型还考虑了反应性溶质的两点吸附和转化。该模型的系数通过对保守化合物(荧光素)和反应性化合物(刃天青/试卤灵)进行并流示踪剂测试来确定。无形状模型的灵活性在参数估计中引起目标函数的多个局部最小值,因此需要全局搜索算法,这是因为要估计的参数值数量众多。我们提出了一种局部全局优化方法,其中使用马尔可夫链蒙特卡罗方法作为全局搜索方法来估计一组流内和流变参数。嵌套在其中,我们通过局部高斯-牛顿方法推断出流变时间的无形状分布。总体方法独立于初始猜测,并提供所有参数的联合后验分布。我们将所描述的局部全局优化方法应用于三个连续流段的示踪剂穿透曲线,并推断各段的水力参数分布,以分析流段之间的流变交换过程如何不同。

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  • 来源
    《Water resources research 》 |2017年第6期| 4984-5001| 共18页
  • 作者单位

    Univ Tubingen, Ctr Appl Geosci, Tubingen, Germany;

    Univ Tubingen, Ctr Appl Geosci, Tubingen, Germany;

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