Articles | Volume 21, issue 2
Research article
03 Feb 2017
Research article |  | 03 Feb 2017

Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions

Lin Zhu, Huili Gong, Zhenxue Dai, Gaoxuan Guo, and Pietro Teatini

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Cited articles

Anderson, M. P.: Introducing groundwater physics, Phys. Today, 60, 42–47, 2007
Beijing Institute of Hydrogeology and Engineering Geology: Groundwater flow model and the potential groundwater resources in Beijing Plain, Internal Report, Beijing, 60–64, 2007.
Bevington, J., Piragnolo, D., Teatini, P., Vellidis, G., and Morari, F.: On the spatial variability of soil hydraulic properties in a Holocene coastal farmland, Geoderma, 262, 294–305,, 2016.
Carle, S. F. and Fogg, G. E.: Modeling spatial variability with one and multimensional continuous-lag Markov chain, Math. Geol., 29, 891–918,, 1997.
Carrera, J. and Neuman, S.P.: Estimation of aquifer parameters under steady state and transient condition: 2. Uniqueness, stability, and solution algorithms, Water Resour. Res., 22, 211–227,, 1986.
Short summary
We developed a method to characterize the distribution and variance of the hydraulic conductivity k in a multiple-zone alluvial fan by fusing multiple-source data. Consistently with the scales of the sedimentary transport energy, the k variance of the various facies decreases from the upper to the lower portion along the flow direction. The 3-D distribution of k is consistent with that of the facies. The potentialities of the proposed approach are tested on the Chaobai River megafan, China.