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Robustness of joint interpretation of sequential pumping tests: Numerical and field experiments

机译：连续抽水试验联合解释的稳健性：数值和现场试验

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摘要

Three conceptual models are evaluated for estimating transmissivity (7) fields using data from sequential pumping tests at a field site and data from similar tests simulated in a synthetic aquifer. The three approaches are (1) an equivalent homogeneous approach, (2) a heterogeneous approach based on a single pumping test, and (3) a heterogeneous approach based on joint interpretation of the sequential pumping tests (i.e., hydraulic tomography, HT). They are evaluated on the basis of their abilities to obtain representative estimates of the T field of the aquifer and, more importantly, on the ability of their estimates to predict drawdown distributions in the aquifer induced by independent validation pumping tests. Results show that the first approach yields scenario-dependent T estimates, which vary with the location of the pumping well. Independent validation tests show that the predicted drawdowns in both aquifers are biased and dispersed. While the second approach produces scenario-dependent T spatial distributions capturing the general pattern of the aquifer, the T fields consistently yield better drawdown predictions than those based on the first approach. Lastly, the joint interpretation approach reduces the scenario dependence of the T estimates and improves the quality of the T estimates as more data sets from sequential pumping tests are included. More importantly, the resultant T estimates lead to the best prediction of different flow events. The robustness of the joint interpretation is then elucidated.
机译：对三个概念模型进行了评估，以评估现场的透射率（7），使用的是现场连续抽水试验的数据和合成含水层中模拟的相似试验的数据。这三种方法是（1）等效的均质方法，（2）基于单次泵送测试的异构方法，以及（3）基于对连续泵送测试的联合解释的异构方法（即液压层析成像，HT）。根据他们获得含水层T场代表性估算值的能力进行评估，更重要的是，根据他们的估算值预测由独立验证抽水试验引起的含水层中降水量分布的能力。结果表明，第一种方法可得出与情景有关的T估计值，该估计值随抽油井的位置而变化。独立的验证测试表明，两个含水层中的预计水位下降是有偏差的和分散的。尽管第二种方法产生的情景相关的T空间分布捕获了含水层的总体格局，但T场始终比第一种方法产生更好的降水预测。最后，联合解释方法减少了T估计的场景依赖性，并提高了T估计的质量，因为包括了顺序抽运测试中的更多数据集。更重要的是，所得的T估计值将导致对不同流动事件的最佳预测。然后阐明了联合解释的稳健性。

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  • 来源
    《Water resources research》 |2011年第10期|p.W10530.1-W10530.18|共18页
  • 作者

    Shao-Yang Huang; Jet-Chau Wen; Tian-Chyi J. Yeh; Wenxi Lu; Hsiang-Lan Juan; Chung-Min Tseng; Ju-Huang Lee; Kuo-Chyang Chang;

  • 作者单位

    Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123, Section 3, University Road, Douliou, Yunlin 64002, Taiwan;

    Wen, Department and Graduate School of Safety Health and Environment Engineering, Research Center for Soil and Water Resources and Natural Disaster Prevention, National Yunlin University of Science and Technology, 123, Section 3, University Road, Douliou, Yunlin 64002,Taiwan;

    Department of Hydrology and Water Resources, University of Arizona, John Harshbarger Building, 1133 E. North Campus Drive, Tucson, AZ 85721, USA;

    Department of Groundwater Science and Engineering, College of Environment and Resources, Jilin University, 6 Ximinzhu St., Changchun, Jilin, 130026, China;

    Water Resource Agency, Ministry of Economic Affairs, 41-3, Hsin-Yi Road, Section 3, Taipei 106, Taiwan;

    Water Resource Agency, Ministry of Economic Affairs, 41-3, Hsin-Yi Road, Section 3, Taipei 106, Taiwan;

    Water Resource Agency, Ministry of Economic Affairs, 41-3, Hsin-Yi Road, Section 3, Taipei 106, Taiwan;

    Water Resource Agency, Ministry of Economic Affairs, 41-3, Hsin-Yi Road, Section 3, Taipei 106, Taiwan;

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