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The hydraulic conductivity of sediments: A pore size perspective

机译:沉积物的液压导电性:孔径透视

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AbstractThis article presents an analysis of previously published hydraulic conductivity data for a wide range of sediments. All soils exhibit a prevalent power trend between the hydraulic conductivity and void ratio. Data trends span 12 orders of magnitude in hydraulic conductivity and collapse onto a single narrow trend when the hydraulic conductivity data are plotted versus the mean pore size, estimated using void ratio and specific surface area measurements. The sensitivity of hydraulic conductivity to changes in the void ratio is higher than the theoretical value due to two concurrent phenomena: 1) percolating large pores are responsible for most of the flow, and 2) the larger pores close first during compaction. The prediction of hydraulic conductivity based on macroscale index parameters in this and similar previous studies has reached an asymptote in the range of kmeas/5≤kpredict≤5kmeas. The remaining uncertainty underscores the important role of underlying sediment characteristics such as pore size distribution, shape, and connectivity that are not measured with index properties. Furthermore, the anisotropy in hydraulic conductivity cannot be recovered from scalar parameters such as index properties. Overall, results highlight the robustness of the physics inspired data scrutiny based Hagen–Poiseuille and Kozeny-Carman analyses.Highlights?Data spanning 12 orders of magnitude in hydraulic conductivity are compiled.?Pore size rather than porosity defines a sediment hydraulic conductivity.?Hydraulic conductivity is a power function of void ratio and specific surface.?A simple prediction method of hydraulic conductivity for sediments is proposed.]]>
机译:<![cdata [ 抽象 本文提出了对广泛的沉积物的先前公布的液压导电性数据分析。所有土壤在液压导电性和空隙率之间表现出普遍的电力趋势。当液压导电性数据与平均孔径绘制的液压导电性数据与平均孔径绘制时,数据趋势在液压导电性中的12个数量幅度跨越液压导电性并且坍塌到单个窄趋势上,使用空隙率和比表面积测量估计。液压导电与空隙率变化的敏感性高于由于两个并发现象导致的理论值:1)渗透大孔对大多数流动负责,并且2)在压实期间首先关闭较大的孔。基于宏观指数参数的液压导电性的预测在此和类似先前的研究中达到了K MEAS /5≤K预测≤5K MEAS 。剩余的不确定度强调了潜在沉积物特性,例如孔径分布,形状和不测量的孔径分布,形状和连接的重要作用。此外,液压导电率的各向异性不能从诸如索引属性的标量参数中恢复。总体而言,结果突出了物理知识的稳健性,灵感基于哈格尼乌尔和Kozeny-carman分析的数据审查。 突出显示 编译了跨越液压导电性的12个级的数据。 孔径而不是孔隙度定义了沉积物水力导电性。 < / ce:list-item> 液压导电率是一个空隙率a的功率函数a ND比表面。 提出了一种简单的沉积物液压导电性的预测方法。 ]]>

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