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A New Zonation Algorithm with Parameter Estimation Using Hydraulic Head and Subsidence Observations

机译：基于水力压头和沉降观测的带参数估计的新分区算法

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摘要

Parameter estimation codes such as UCODE_2005 are becoming well-known tools in groundwater modeling investigations. These programs estimate important parameter values such as transmissivity (T) and aquifer storage values (S_a) from known observations of hydraulic head, flow, or other physical quantities. One drawback inherent in these codes is that the parameter zones must be specified by the user. However, such knowledge is often unknown even if a detailed hydrogeological description is available. To overcome this deficiency, we present a discrete adjoint algorithm for identifying suitable zonations from hydraulic head and subsidence measurements, which are highly sensitive to both elastic (S_(ske)) and inelastic (S_(skv)) skeletal specific storage coefficients. With the advent of interferometric synthetic aperture radar (InSAR), distributed spatial and temporal subsidence measurements can be obtained. A synthetic conceptual model containing seven transmissivity zones, one aquifer storage zone and three interbed zones for elastic and inelastic storage coefficients were developed to simulate drawdown and subsidence in an aquifer interbedded with clay that exhibits delayed drainage. Simulated delayed land subsidence and groundwater head data are assumed to be the observed measurements, to which the discrete adjoint algorithm is called to create approximate spatial zonations of T, S_(ske), and S_(skv). UCODE-2005 is then used to obtain the final optimal parameter values. Calibration results indicate that the estimated zonations calculated from the discrete adjoint algorithm closely approximate the true parameter zonations. This automation algorithm reduces the bias established by the initial distribution of zones and provides a robust parameter zonation distribution.
机译：参数估计代码（例如UCODE_2005）已成为地下水建模研究中的知名工具。这些程序从液压头，流量或其他物理量的已知观测值中估算重要的参数值，例如透射率（T）和含水层存储值（S_a）。这些代码固有的一个缺点是参数区域必须由用户指定。但是，即使有详细的水文地质描述，这种知识也常常是未知的。为了克服这一缺陷，我们提出了一种离散的伴随算法，用于从水力压头和沉降测量中识别合适的分区，这对弹性（S_（ske））和非弹性（S_（skv））骨架特定存储系数都高度敏感。随着干涉式合成孔径雷达（InSAR）的出现，可以获得分布式的空间和时间沉降测量。建立了一个包含七个透射率区，一个含水层存储区和三个夹层区的弹性和非弹性存储系数的综合概念模型，以模拟渗水延迟的黏土夹层的含水层的沉降和沉降。假定模拟的延迟地面沉降和地下水位数据为观测值，并使用离散伴随算法来创建T，S_（ske）和S_（skv）的近似空间分区。然后使用UCODE-2005获得最终的最佳参数值。校准结果表明，从离散伴随算法计算出的估计分区非常接近真实参数分区。该自动化算法减少了由区域的初始分布所建立的偏差，并提供了可靠的参数分区分布。

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  • 来源
    《Ground water》 |2014年第4期|514-524|共11页
  • 作者

    Meijing Zhang; Thomas J. Burbey; Vitor Dos Santos Nunes; Jeff Borggaard;

  • 作者单位

    Department of Geosciences, Virginia Tech, Blacksburg, VA 24061;

    Department of Geosciences, Virginia Tech, Blacksburg, VA 24061;

    Department of Mathematics, Virginia Tech, Blacksburg, VA 24061;

    Department of Mathematics, Virginia Tech, Blacksburg, VA 24061;

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