Hydraulic conductivity variation within and between layers of a high floodplain profile

Xunhong Chen, Haicun Mi, Hongman He, Ruichong Liu, Min Gao, Aidi Huo, Donghui Cheng

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

We investigated the hydraulic conductivity of a high floodplain of the Weihe River, the largest tributary of the Yellow River in China. We took sediment cores from five layers of the sediments in the high floodplain and performed on-site permeameter tests to determine the horizontal hydraulic conductivity (Kh) of these undisturbed cores. Although the sediments within each layer were relatively homogeneous, the Kh values exhibited variation among the testing locations within each layer. The Kh values from any two layers were statistically different except for the Kh values from layers 1 and 4, which were statistically from the same population. We used the Jarque-Bera and Lilliefors tests to determine the normality of these Kh values. The Kh values from individual layers (layers 1-3) showed normal distribution. When the Kh values from the three layers were combined as a single data set, both statistical tests failed to confirm the normality; instead, the two test methods suggested log-normal distribution. When the Kh values from the five layers were combined as one data set, they also showed a log-normal distribution. These results suggest that hydraulic conductivity values from an individual layer were likely in normal distribution, although their mean and standard deviation varied for individual layers. We then generated random Kh values of normal distribution based on the mean and standard deviation of the field measurements in the five layers, as well as using modified means and standard deviations. When these normally distributed Kh values were combined into one data set for normality analysis, they became log-normal distribution. Clearly, the probability models of hydraulic conductivity depended on how the layout of the measurement locations was placed on porous media consisting of multiple layers of sediments. Hydraulic conductivity from a single layer cannot be simply assumed to be log-normal. The log-normal-distribution model is not always appropriate for characterization of a hydraulic conductivity field for a relatively homogeneous porous medium.

Original languageEnglish (US)
Pages (from-to)147-155
Number of pages9
JournalJournal of Hydrology
Volume515
DOIs
StatePublished - Jul 16 2014

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floodplain
hydraulic conductivity
porous medium
sediment
permeameter
distribution
river
sediment core
tributary

Keywords

  • Floodplain
  • Heterogeneity
  • Hydraulic conductivity
  • Probability distribution
  • The Weihe River

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

Hydraulic conductivity variation within and between layers of a high floodplain profile. / Chen, Xunhong; Mi, Haicun; He, Hongman; Liu, Ruichong; Gao, Min; Huo, Aidi; Cheng, Donghui.

In: Journal of Hydrology, Vol. 515, 16.07.2014, p. 147-155.

Research output: Contribution to journalArticle

Chen, Xunhong ; Mi, Haicun ; He, Hongman ; Liu, Ruichong ; Gao, Min ; Huo, Aidi ; Cheng, Donghui. / Hydraulic conductivity variation within and between layers of a high floodplain profile. In: Journal of Hydrology. 2014 ; Vol. 515. pp. 147-155.
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abstract = "We investigated the hydraulic conductivity of a high floodplain of the Weihe River, the largest tributary of the Yellow River in China. We took sediment cores from five layers of the sediments in the high floodplain and performed on-site permeameter tests to determine the horizontal hydraulic conductivity (Kh) of these undisturbed cores. Although the sediments within each layer were relatively homogeneous, the Kh values exhibited variation among the testing locations within each layer. The Kh values from any two layers were statistically different except for the Kh values from layers 1 and 4, which were statistically from the same population. We used the Jarque-Bera and Lilliefors tests to determine the normality of these Kh values. The Kh values from individual layers (layers 1-3) showed normal distribution. When the Kh values from the three layers were combined as a single data set, both statistical tests failed to confirm the normality; instead, the two test methods suggested log-normal distribution. When the Kh values from the five layers were combined as one data set, they also showed a log-normal distribution. These results suggest that hydraulic conductivity values from an individual layer were likely in normal distribution, although their mean and standard deviation varied for individual layers. We then generated random Kh values of normal distribution based on the mean and standard deviation of the field measurements in the five layers, as well as using modified means and standard deviations. When these normally distributed Kh values were combined into one data set for normality analysis, they became log-normal distribution. Clearly, the probability models of hydraulic conductivity depended on how the layout of the measurement locations was placed on porous media consisting of multiple layers of sediments. Hydraulic conductivity from a single layer cannot be simply assumed to be log-normal. The log-normal-distribution model is not always appropriate for characterization of a hydraulic conductivity field for a relatively homogeneous porous medium.",
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