Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-721-2017
https://doi.org/10.5194/hess-21-721-2017
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

Related authors

Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theory
Huijun Li, Lin Zhu, Gaoxuan Guo, Yan Zhang, Zhenxue Dai, Xiaojuan Li, Linzhen Chang, and Pietro Teatini
Nat. Hazards Earth Syst. Sci., 21, 823–835, https://doi.org/10.5194/nhess-21-823-2021,https://doi.org/10.5194/nhess-21-823-2021, 2021
Short summary
Spatial variation of three-dimensional deformation: a case study in the north-eastern Beijing plain, China
Jiahui Zhou, Lin Zhu, Huili Gong, Huijun Li, Liping Zheng, Rui Cheng, and Hanrui Sun
Proc. IAHS, 382, 391–396, https://doi.org/10.5194/piahs-382-391-2020,https://doi.org/10.5194/piahs-382-391-2020, 2020
Short summary
Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method
Di Zhou, Jie Yu, Lin Zhu, Yanbing Wang, Jing Zhang, Shuai Jiao, and Ren Shu Chen
Proc. IAHS, 382, 249–253, https://doi.org/10.5194/piahs-382-249-2020,https://doi.org/10.5194/piahs-382-249-2020, 2020
Short summary
Land subsidence modelling using a long short-term memory algorithm based on time-series datasets
Huijun Li, Lin Zhu, Huili Gong, Hanrui Sun, and Jie Yu
Proc. IAHS, 382, 505–510, https://doi.org/10.5194/piahs-382-505-2020,https://doi.org/10.5194/piahs-382-505-2020, 2020
Analysis of land subsidence changes on the Beijing Plain from 2004 to 2015
Lin Guo, Huili Gong, Xiaojuan Li, Lin Zhu, Wei Lv, and Mingyuan Lyu
Proc. IAHS, 382, 291–296, https://doi.org/10.5194/piahs-382-291-2020,https://doi.org/10.5194/piahs-382-291-2020, 2020

Related subject area

Subject: Groundwater hydrology | Techniques and Approaches: Stochastic approaches
Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles
Chloé Fandel, Ty Ferré, François Miville, Philippe Renard, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 4205–4215, https://doi.org/10.5194/hess-27-4205-2023,https://doi.org/10.5194/hess-27-4205-2023, 2023
Short summary
An ensemble-based approach for pumping optimization in an island aquifer considering parameter, observation and climate uncertainty
Cécile Coulon, Jeremy T. White, Alexandre Pryet, Laura Gatel, and Jean-Michel Lemieux
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-38,https://doi.org/10.5194/hess-2023-38, 2023
Revised manuscript accepted for HESS
Short summary
The effects of rain and evapotranspiration statistics on groundwater recharge estimations for semi-arid environments
Tuvia Turkeltaub and Golan Bel
Hydrol. Earth Syst. Sci., 27, 289–302, https://doi.org/10.5194/hess-27-289-2023,https://doi.org/10.5194/hess-27-289-2023, 2023
Short summary
Characterization of the highly fractured zone at the Grimsel Test Site based on hydraulic tomography
Lisa Maria Ringel, Mohammadreza Jalali, and Peter Bayer
Hydrol. Earth Syst. Sci., 26, 6443–6455, https://doi.org/10.5194/hess-26-6443-2022,https://doi.org/10.5194/hess-26-6443-2022, 2022
Short summary
Influence of low-frequency variability on high and low groundwater levels: example of aquifers in the Paris Basin
Lisa Baulon, Nicolas Massei, Delphine Allier, Matthieu Fournier, and Hélène Bessiere
Hydrol. Earth Syst. Sci., 26, 2829–2854, https://doi.org/10.5194/hess-26-2829-2022,https://doi.org/10.5194/hess-26-2829-2022, 2022
Short summary

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, https://doi.org/10.1016/j.geoderma.2015.08.025, 2016.
Carle, S. F. and Fogg, G. E.: Modeling spatial variability with one and multimensional continuous-lag Markov chain, Math. Geol., 29, 891–918, https://doi.org/10.1023/a:1022303706942, 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, https://doi.org/10.1029/wr022i002p00211, 1986.
Download
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.