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首页> 外文期刊>Ground water >Using Orthogonal Array Sampling to Cope with Uncertainty in Ground Water Problems
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Using Orthogonal Array Sampling to Cope with Uncertainty in Ground Water Problems

机译：使用正交阵列采样处理地下水问题中的不确定性

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摘要

Uncertainty in ground water hydrology originates from different sources. Neglecting uncertainty in ground water problems can lead to incorrect results and misleading output. Several approaches have been developed to cope with uncertainty in ground water problems. The most widely used methods in uncertainty analysis are Monte Carlo simulation (MCS) and Latin hypercube sampling (LHS), developed from MCS. Despite the simplicity of MCS, many runs are required to achieve a reliable result. This paper presents orthogonal array (OA) sampling as a means to cope with uncertainty in ground water problems. The method was applied to an analytical stream depletion problem. To examine the convergence rate of the OA sampling, the results were compared to MCS and LHS. This study shows that OA can be applied to ground water problems. Results reveal that the convergence rate of the OA sampling is faster than MCS and LHS, with a smaller error of estimate when applied to a stream depletion problem.
机译：地下水水文学的不确定性来自不同的来源。忽视地下水问题的不确定性可能导致错误的结果和误导的产出。已经开发出几种方法来应对地下水问题的不确定性。在不确定性分析中使用最广泛的方法是由MCS开发的蒙特卡罗模拟（MCS）和拉丁超立方体采样（LHS）。尽管MCS非常简单，但仍需要多次运行才能获得可靠的结果。本文介绍了正交阵列（OA）采样作为应对地下水问题不确定性的一种方法。该方法适用于分析流耗竭问题。为了检查OA采样的收敛速度，将结果与MCS和LHS进行了比较。这项研究表明，OA可以应用于地下水问题。结果表明，OA采样的收敛速度比MCS和LHS快，当应用于流耗竭问题时，估计误差较小。

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  • 来源
    《Ground water》 |2009年第5期|709-713|共5页
  • 作者

    Husam Baalousha;

  • 作者单位

    Hawke's Bay Regional Council, Private Bag 6006, Napier, New Zealand;

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  • 正文语种 eng
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