Articles | Volume 20, issue 5
https://doi.org/10.5194/hess-20-1669-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-1669-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2016
Research article |
| 03 May 2016
The referential grain size and effective porosity in the Kozeny–Carman model
Croatian Geological Survey, Sachsova 2, P.O. Box 268, 10001
Zagreb, Croatia
Kosta Urumović Sr.
Ulica Lea Müllera 3. odvojak 2, 10090 Zagreb, Croatia
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36 citations as recorded by crossref.
- Reply to Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin J. Devlin 10.1007/s10040-016-1510-z
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- Reply to Comment on ‘Reply to Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin’: article published in Hydrogeology Journal (2017) 25: 593–596, by J. F. Devlin J. Devlin 10.1007/s10040-017-1705-y
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- Geological factors and mechanism of sinkhole development in Cho Don zinc-lead mining area, Bac Kan province, North of Vietnam N. Hoang et al. 10.2205/2022ES000728
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- Depth-dependent relation between hydraulic conductivity and electrical resistivity in geologic formations K. Li et al. 10.1016/j.jhydrol.2019.124081
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- Comparison of saturated hydraulic conductivity estimated by surface NMR and empirical equations U. Singh & P. Sharma 10.1016/j.jhydrol.2022.128929
- Comparison of seven water retention functions used for modelling soil hydraulic conductivity due to film flow K. Liao et al. 10.1111/sum.12425
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36 citations as recorded by crossref.
- Reply to Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin J. Devlin 10.1007/s10040-016-1510-z
- Relating estuarine geology to groundwater discharge at an oyster reef in Copano Bay, TX N. Spalt et al. 10.1016/j.jhydrol.2018.07.048
- Sampling pore water at a centimeter resolution in sandy permeable sediments of lakes, streams, and coastal zones P. Anschutz & C. Charbonnier 10.1002/lom3.10408
- Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin K. Urumović & K. Urumović 10.1007/s10040-016-1509-5
- Hydrogeophysical Inversion of Time‐Lapse ERT Data to Determine Hillslope Subsurface Hydraulic Properties M. Pleasants et al. 10.1029/2021WR031073
- Comment on ‘Reply to Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin’: article published in Hydrogeology Journal (2017) 25: 593–596, by J. F. Devlin K. Urumović & K. Urumović 10.1007/s10040-017-1704-z
- Prediction of tortuosity, permeability, and pore radius of water-saturated unconsolidated glass beads and sands M. Kimura 10.1121/1.5039520
- Hydrodynamics of Rectangular Broad-Crested Porous Weirs A. Safarzadeh & S. Mohajeri 10.1061/(ASCE)IR.1943-4774.0001338
- Experimental and Numerical Investigation of Evaluation of Grain Size–Based Porosity Models for Solute Transport through Porous Medium C. Thakur et al. 10.1061/(ASCE)HZ.2153-5515.0000660
- Reply to Comment on ‘Reply to Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin’: article published in Hydrogeology Journal (2017) 25: 593–596, by J. F. Devlin J. Devlin 10.1007/s10040-017-1705-y
- Validity range and reliability of the United States Bureau of Reclamation (USBR) method in hydrogeological investigations K. Urumović et al. 10.1007/s10040-019-02080-2
- Determining concrete properties for different optimized combined concrete mixtures: Novel mathematical approach S. Sebsadji 10.1016/j.powtec.2022.117756
- On the Influence of Grain Size Compared with Other Internal Factors Affecting the Permeability of Granular Porous Media: Redefining the Permeability Units J. Díaz-Curiel et al. 10.2113/2024/lithosphere_2023_231
- Modelling effects of root growth and decay on soil water retention and permeability J. Ni et al. 10.1139/cgj-2018-0402
- Influence of ambient temperature on erosion properties of exposed cohesive sediment from an intertidal mudflat H. Nguyen et al. 10.1007/s00367-019-00579-x
- A New Modified Model of the Streaming Potential Coupling Coefficient Depends on Structural Parameters of Soil-Rock Mixture X. Zhang et al. 10.1155/2021/2619491
- Improved model for predicting the hydraulic conductivity of soils based on the Kozeny–Carman equation M. Wang et al. 10.2166/nh.2021.268
- Geological factors and mechanism of sinkhole development in Cho Don zinc-lead mining area, Bac Kan province, North of Vietnam N. Hoang et al. 10.2205/2022ES000728
- Experiment and Model Investigation on the Permeability Evolution of Granite under Triaxial Compressive Damage Z. Ji et al. 10.1155/2022/8895091
- A Comparison and Validation of Saturated Hydraulic Conductivity Models K. Gootman et al. 10.3390/w12072040
- Hydraulic Tomography Estimates Improved by Zonal Information From the Clustering of Geophysical Survey Data C. Wang & W. Illman 10.1029/2023WR035191
- Bulk density optimization to determine subsurface hydraulic properties in Rocky Mountain catchments using the GEOtop model A. Fullhart et al. 10.1002/hyp.13471
- Quantifying the hydraulic properties of fractured rock masses along a borehole using composite geological indices: A case study in the mid and upper Choshui River Basin in Central Taiwan S. Hsu 10.1016/j.enggeo.2020.105924
- A proposed capillary number dependent model for prediction of relative permeability in gas condensate reservoirs: a robust non-linear regression analysis M. Mahdaviara & A. Helalizadeh 10.2516/ogst/2020017
- Constraining the recharge area of a hydrothermal system in fractured carbonates by numerical modelling S. Borović et al. 10.1016/j.geothermics.2019.05.017
- A Comparison of Tools and Methods for Estimating Groundwater‐Surface Water Exchange M. Cremeans et al. 10.1111/gwmr.12362
- Water Flow Modeling with Dry Bulk Density Optimization to Determine Hydraulic Properties in Mountain Soils A. Fullhart et al. 10.2136/sssaj2017.06.0196
- Revisiting the methods for gas permeability measurement in tight porous medium D. Yang et al. 10.1016/j.jrmge.2018.08.012
- Assessing The Influence of Internal and Viscous Friction on Dispersion and Sound Attenuation in Unconsolidated Marine Sediments V. Lisyutin & O. Lastovenko 10.1134/S1063771020040065
- Depth-dependent relation between hydraulic conductivity and electrical resistivity in geologic formations K. Li et al. 10.1016/j.jhydrol.2019.124081
- Using the Effective Void Ratio and Specific Surface Area in the Kozeny–Carman Equation to Predict the Hydraulic Conductivity of Loess B. Hong et al. 10.3390/w12010024
- A new method to determine the segmentation of pore structure and permeability prediction of loess based on fractal analysis T. Lu et al. 10.1007/s10064-022-03016-z
- Comparison of saturated hydraulic conductivity estimated by surface NMR and empirical equations U. Singh & P. Sharma 10.1016/j.jhydrol.2022.128929
- Comparison of seven water retention functions used for modelling soil hydraulic conductivity due to film flow K. Liao et al. 10.1111/sum.12425
- Applications of critical path analysis to uniform grain packings with narrow conductance distributions: I. Single-phase permeability B. Ghanbarian 10.1016/j.advwatres.2020.103529
- A Comparison of Saturated Hydraulic Conductivity (Ksat) Estimations from Pedotransfer Functions (PTFs) and Field Observations in Riparian Seasonal Wetlands B. Abesh & J. Hubbart 10.3390/w15152711
Latest update: 25 Apr 2024
Short summary
Calculation of hydraulic conductivity of porous materials is crucial for further use in hydrogeological modeling. The Kozeny–Carman model is theoretically impeccable but has not been properly used in recent scientific and expert literature. In this paper, proper use of the Kozeny-Carman formula is given through presentation of geometric mean grain size in the drilled-core sample as the referential mean grain size. Also, procedures for identification of real effective porosity of porous media are presented.
Calculation of hydraulic conductivity of porous materials is crucial for further use in...
