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Modeling the Usefulness of Spatial Correlation Analysis on Karst Systems

机译：对岩溶系统空间相关性分析的有用性建模

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Cross-correlation analyses on field data collected in karst aquifer systems can be used to develop a conceptual understanding of the aquifer. This includes the use of many data sets from the same aquifer to develop an understanding of how properties vary spatially. We focus on a method for characterizing the distribution of recharge, which is becoming increasingly important in regions where urban development encroaches on these important sources of water. Spatially varying precipitation data and cross-correlation analysis provide a means of spatially characterizing recharge locations on a karst aquifer. Our work expands on the numerical experiments conducted by Padilla and Pulido-Bosch (1995) using the numerical ground water model MODFLOW to introduce spatially varying parameters. The numerical experiments include conduit-controlled, matrix-controlled, and mixed karst systems with more than one precipitation time series input. The results show that spatially varying parameters can be inferred based on the cross-correlation of precipitation data and spring discharge. Simulations were completed using aquifer parameters derived from studies of the Barton Springs segment of the Edwards Aquifer. The simulations indicate that spatial variability within an aquifer can be inferred using cross-correlation analysis. A field study using these methods is summarized for Barton Springs near Austin, Texas.
机译：对岩溶含水层系统中收集的现场数据的互相关分析可用于发展对含水层的概念性理解。这包括使用来自同一含水层的许多数据集，以加深对物性如何在空间上变化的理解。我们专注于表征补给分布的方法，这种方法在城市发展侵蚀了这些重要水源的地区变得越来越重要。空间变化的降水数据和互相关分析提供了一种在空间上表征岩溶含水层补给位置的方法。我们的工作扩展了Padilla和Pulido-Bosch（1995）进行的数值实验，使用数值地下水模型MODFLOW引入了空间变化的参数。数值实验包括导管控制，矩阵控制和混合喀斯特系统，这些系统具有多个降水时间序列输入。结果表明，基于降水量数据和泉水流量的互相关性，可以推断出空间变化的参数。使用从爱德华兹含水层的Barton Springs段研究得出的含水层参数完成了模拟。模拟表明，可以使用互相关分析来推断含水层内的空间变异性。使用这些方法的现场研究总结了德克萨斯州奥斯汀附近的Barton Springs。

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  • 来源
    《Ground water》 |2009年第3期|427-437|共11页
  • 作者

    Trevor J. Budge; John M. Sharp Jr.;

  • 作者单位

    Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX 78712 Currently at URS Corporation, Austin, TX 78729;

    Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX 78712;

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