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Stochastic estimation of hydraulic spatial properties.

机译：水力空间特性的随机估计。

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摘要

Data from tomographic surveys make a inverse problem better posed. A tomographic survey provides different coverages and perspectives on subsurface heterogeneity---incompletely overlapping information about the subsurface. Fusion of these pieces of information expands and enhances the capability of a conventional survey, provides cross-validation, and constrains inherently ill-posed field-scale inverse problems. In this study, we explore the possibility of using river stage variation for basin-scale subsurface tomographic surveys. Basin-scale tomography requires energy sources of great strengths; spatially and temporally varying natural stimuli are ideal energy sources for this purpose. Specifically, we use numerical models to simulate groundwater level changes in response to temporal and spatial variations of river stage in a hypothetical groundwater basin. We then exploit the relation between temporal and spatial variations of well hydrographs and river stage to image the heterogeneous characteristics of the basin.;Next, we apply the hydraulic tomography testing technique and analysis algorithm to synthetic fractured media. The application aims to explore the potential utility of the technique and the algorithm for characterizing fracture zone distribution and their connectivity. Results of this investigation show that using hydraulic tomography with a limited number of wells can map satisfactorily the fracture zone distribution and the general pattern of its connectivity although estimated hydraulic property fields are smooth. As the number of wells and monitoring ports increases, the fracture zone distribution and connectivity becomes more vivid and the estimated hydraulic properties approach the true values.;Further we develop a new parameter identification method that allows for simultaneous inclusion of all observed hydrographs from hydraulic tomography to map aquifer heterogeneity. A procedure is then recommended to diagnose and denoise observed hydrographs. Subsequently, we introduce methods that exploit these processed hydrographs for estimating effective parameters, boundary conditions, and statistical spatial structures of heterogeneity, which are the required inputs for the new hydraulic tomography analysis method. This new method and the data processing procedure are tested in a synthetic aquifer and subsequently applied to a sand box experiment. The estimated parameter fields for the sand box experiment are validated by predicting the head distribution induced by an independent pumping test, which was not used in the hydraulic tomography analysis.
机译：层析成像调查的数据可以更好地解决反问题。层析成像调查提供了关于地下异质性的不同覆盖范围和观点-有关地下的信息不完全重叠。这些信息的融合扩展并增强了常规调查的能力，提供了交叉验证，并限制了固有的不适定的场尺度逆问题。在这项研究中，我们探索了使用河段变化进行盆地规模地下层析成像调查的可能性。流域级层析成像需要强大的能源。为此，时空变化的自然刺激是理想的能源。具体来说，我们使用数值模型来模拟假设的地下水盆地中响应于水位的时空变化的地下水位变化。然后，利用井水位图的时空变化与河流水位之间的关系来描绘盆地的非均质特征。接下来，将水力层析成像测试技术和分析算法应用于合成裂缝性介质。该应用程序旨在探索该技术和算法在表征断裂带分布及其连通性方面的潜在用途。这项研究的结果表明，尽管估计的水力特性场很平滑，但在有限数量的井中使用水力层析成像可以令人满意地绘制裂缝区域分布及其连通性的一般模式。随着井数和监控端口数量的增加，裂缝带的分布和连通性变得更加生动，估计的水力特性逼近真实值。此外，我们开发了一种新的参数识别方法，该方法可以同时包含水力层析成像中所有观测到的水位图映射含水层的非均质性。然后推荐一种程序来诊断和去除观测到的水位图。随后，我们介绍了利用这些处理过的水位图来估算有效参数，边界条件和统计异质性空间结构的方法，这些是新的液压层析成像分析方法的必需输入。在合成含水层中测试了此新方法和数据处理过程，随后将其应用于沙箱实验。沙箱实验的估计参数字段通过预测独立抽水试验引起的水头分布而得到验证，该试验未在液压层析成像分析中使用。

著录项

  • 作者

    Xiang, Jianwei.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Hydrology.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 151 p.
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水文科学（水界物理学）;
  • 关键词

  • 入库时间 2022-08-17 11:39:37

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