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Statistical Distribution of Streambed Vertical Hydraulic Conductivity along the Platte River, Nebraska

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Abstract

Streambed vertical hydraulic conductivity (K v ) plays an important role in understanding and quantifying the stream–aquifer interactions. While several researchers have discussed the spatial variability of streambed horizontal hydraulic conductivity or K v at one or several close-located sites in a river, they did not develop any statistical distribution analysis of streambed K v at distant sites along a large river. In this paper, the statistical distribution and spatial variation of streambed K v at 18 test sites in a 300-km reach of the Platte River in Nebraska are presented. In-situ permeameter tests using the falling-head method were carried out to calculate the streambed K v values. Fine-grained sediments transported by two tributaries, the Loup River and the Elkhorn River, to the Platte River appear to result in lower streambed K v values downstream of the confluences between the Platte River and the tributaries. The streambed K v values were found to be normally distributed at nearly each test site. When the correlated K v values were eliminated from the grid sampling plots, the remaining independent sub-datasets of streambed K v values were still in normal distribution at each test site. Furthermore, the combined streambed K v values upstream of the first confluence between the Platte River and the Loup River was normally distributed, which may be due to the lack of tributaries in-between and thus streambed sediments were well distributed in this reach and belonged to a single population of hydraulic conductivity values. In contrast, the combined dataset of all measurements conducted downstream of this confluence was no longer in normal distribution, presumably as a result of the mixing of different sediment sources.

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Correspondence to Xunhong Chen.

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Cheng, C., Song, J., Chen, X. et al. Statistical Distribution of Streambed Vertical Hydraulic Conductivity along the Platte River, Nebraska. Water Resour Manage 25, 265–285 (2011). https://doi.org/10.1007/s11269-010-9698-5

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  • DOI: https://doi.org/10.1007/s11269-010-9698-5

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