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3-D transient hydraulic tomography in unconfined aquifers with fast drainage response

机译:3-D带有快速排水响应的无限含水层中的3-D瞬态液压断层扫描

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摘要

We investigate, through numerical experiments, the viability of three-dimensional transient hydraulic tomography (3DTHT) for identifying the spatial distribution of groundwater flow parameters (primarily, hydraulic conductivity K) in permeable, unconfined aquifers. To invert the large amount of transient data collected from 3DTHT surveys, we utilize an iterative geostatistical inversion strategy in which outer iterations progressively increase the number of data points fitted and inner iterations solve the quasi-linear geostatistical formulas of Kitanidis. In order to base our numerical experiments around realistic scenarios, we utilize pumping rates, geometries, and test lengths similar to those attainable during 3DTHT field campaigns performed at the Boise Hydrogeophysical Research Site (BHRS). We also utilize hydrologic parameters that are similar to those observed at the BHRS and in other unconsolidated, unconfined fluvial aquifers. In addition to estimating K, we test the ability of 3DTHT to estimate both average storage values (specific storage Ss and specific yield Sy) as well as spatial variability in storage coefficients. The effects of model conceptualization errors during unconfined 3DTHT are investigated including: (1) assuming constant storage coefficients during inversion and (2) assuming stationary geostatistical parameter variability. Overall, our findings indicate that estimation of K is slightly degraded if storage parameters must be jointly estimated, but that this effect is quite small compared with the degradation of estimates due to violation of “structural” geostatistical assumptions. Practically, we find for our scenarios that assuming constant storage values during inversion does not appear to have a significant effect on K estimates or uncertainty bounds.
机译:我们通过数值实验研究了三维瞬态水力层析成像(3DTHT)的可行性,以识别渗透性,无侧限含水层中地下水流量参数(主要是水力传导率K)的空间分布。为了反转从3DTHT调查中收集的大量瞬态数据,我们采用了迭代地统计反演策略,其中外部迭代逐渐增加了拟合的数据点数量,内部迭代解决了Kitanidis的拟线性地统计公式。为了使我们的数值实验基于实际情况,我们采用了与在博伊西水文地球物理研究站点(BHRS)进行的3DTHT野外活动期间可获得的抽水速率,几何形状和测试长度相似的方法。我们还利用了与BHRS和其他未固结,无约束河流含水层中观察到的水文参数相似的水文参数。除了估算K,我们还测试了3DTHT估算平均存储值(特定存储Ss和特定产量Sy)以及存储系数的空间变异性的能力。研究了无约束3DTHT期间模型概念化误差的影响,包括:(1)假设反演期间的存储系数恒定,以及(2)假设静态地统计参数可变性。总体而言,我们的发现表明,如果必须共同估算存储参数,则对K的估算会略有下降,但是与违反“结构”地统计学假设的估算下降相比,这种影响很小。实际上,对于我们的场景,我们发现假设在反演期间假设常数存储值似乎对K估计或不确定性边界没有显着影响。

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    M. Cardiff; W. Barrash;

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  • 年度 2011
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