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Estimating permeability using the parameter estimation method in a high-permeability area of the Kurobe River alluvial fan, Japan

机译:利用日本Kurobe河冲积扇的高渗透面积中参数估计方法估算渗透率

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The parameter estimation (PEST) method was used to estimate the spatial distribution of permeability coefficients in a high-permeability area of the Kurobe River alluvial fan in Toyama Prefecture, Japan. We considered spatial resolution, estimated period, soil structure, recharge source, and boundary conditions in the model. Numerical experiments produced estimated permeability coefficients that were consistent with the observed data and those of previous studies under all conditions. However, the estimated groundwater levels were lower than those of previous studies. Spatial resolution and the number of foundation layers did not have a large effect on estimates of the vertical permeability coefficient (k_z). However, recharge source and boundary conditions were important for estimating permeability coefficients. Finally, the estimates of specific storage (S_s) and specific yield (S_y) were similar to the observed data under all conditions.
机译:参数估计(PEST)方法用于估计日本富山县富山河冲积扇的高渗透面积中渗透系数的空间分布。我们考虑了模型中的空间分辨率,估计期,土壤结构,充电来源和边界条件。数值实验产生估计与观察到的数据一致的渗透系数和在所有条件下的先前研究的渗透系数。然而,估计的地下水位低于先前研究的地下水位。空间分辨率和基础层的数量对垂直渗透系数(K_Z)的估计没有大量影响。然而,充电来源和边界条件对于估计渗透系数是重要的。最后,特定存储(S_S)和特定产量(S_Y)的估计与所有条件下的观察数据类似。

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