Articles | Volume 18, issue 10
https://doi.org/10.5194/hess-18-4053-2014
https://doi.org/10.5194/hess-18-4053-2014
Research article
 | 
15 Oct 2014
Research article |  | 15 Oct 2014

Predicting the soil moisture retention curve, from soil particle size distribution and bulk density data using a packing density scaling factor

F. Meskini-Vishkaee, M. H. Mohammadi, and M. Vanclooster

Related authors

Assessing the long-term effectiveness of nitrogen management for groundwater protection in the agricultural crop production sector in Wallonia, Belgium
Elise Verstraeten, Alice Alonso, Louise Collier, and Marnik Vanclooster
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-173,https://doi.org/10.5194/hess-2024-173, 2024
Preprint under review for HESS
Short summary
Detecting hydrological connectivity using causal inference from time series: synthetic and real karstic case studies
Damien Delforge, Olivier de Viron, Marnik Vanclooster, Michel Van Camp, and Arnaud Watlet
Hydrol. Earth Syst. Sci., 26, 2181–2199, https://doi.org/10.5194/hess-26-2181-2022,https://doi.org/10.5194/hess-26-2181-2022, 2022
Short summary
Challenges of groundwater pollution and management in transboundary basins at the African scale
Issoufou Ouedraogo and Marnik Vanclooster
Proc. IAHS, 384, 69–74, https://doi.org/10.5194/piahs-384-69-2021,https://doi.org/10.5194/piahs-384-69-2021, 2021
Short summary
Assessing the cover crop effect on soil hydraulic properties by inverse modelling in a 10-year field trial
José Luis Gabriel, Miguel Quemada, Diana Martín-Lammerding, and Marnik Vanclooster
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-372,https://doi.org/10.5194/hess-2018-372, 2018
Revised manuscript not accepted
Short summary
Assessing the cover crop effect on soil hydraulic properties by inverse modelling in a 10-year field trial
Jose Luis Gabriel, Miguel Quemada, Diana Martín-Lammerding, and Marnik Vanclooster
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-643,https://doi.org/10.5194/hess-2017-643, 2017
Manuscript not accepted for further review
Short summary

Related subject area

Subject: Vadose Zone Hydrology | Techniques and Approaches: Modelling approaches
Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis
Meirav Cohen, Nimrod Schwartz, and Ravid Rosenzweig
Hydrol. Earth Syst. Sci., 28, 1585–1604, https://doi.org/10.5194/hess-28-1585-2024,https://doi.org/10.5194/hess-28-1585-2024, 2024
Short summary
Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data
Lukas Strebel, Heye Bogena, Harry Vereecken, Mie Andreasen, Sergio Aranda-Barranco, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 28, 1001–1026, https://doi.org/10.5194/hess-28-1001-2024,https://doi.org/10.5194/hess-28-1001-2024, 2024
Short summary
A comprehensive study of deep learning for soil moisture prediction
Yanling Wang, Liangsheng Shi, Yaan Hu, Xiaolong Hu, Wenxiang Song, and Lijun Wang
Hydrol. Earth Syst. Sci., 28, 917–943, https://doi.org/10.5194/hess-28-917-2024,https://doi.org/10.5194/hess-28-917-2024, 2024
Short summary
Mesoscale permeability variations estimated from natural airflows in the decorated Cosquer Cave (SE France)
Hugo Pellet, Bruno Arfib, Pierre Henry, Stéphanie Touron, and Ghislain Gassier
EGUsphere, https://doi.org/10.5194/egusphere-2023-2380,https://doi.org/10.5194/egusphere-2023-2380, 2023
Short summary
Modelling groundwater recharge, actual evaporation, and transpiration in semi-arid sites of the Lake Chad basin: the role of soil and vegetation in groundwater recharge
Christoph Neukum, Angela Morales-Santos, Melanie Ronelngar, Aminu Bala, and Sara Vassolo
Hydrol. Earth Syst. Sci., 27, 3601–3619, https://doi.org/10.5194/hess-27-3601-2023,https://doi.org/10.5194/hess-27-3601-2023, 2023
Short summary

Cited articles

Arya, L. M. and Paris, J. F.: A physicoempirical model to predict the soil moisture characteristic from particle-size distribution and bulk density data, Soil Sci. Soc. Am. J., 45, 1023–1030, 1981.
Arya, L. M., Ritchter, J. C., and Davidson, S. A.: A comparison of soil moisture characteristic predicted by the Arya–Paris model with laboratory-measured data, AgRISTARS Tech. Rep. SM-L1-04247, JSC-17820, NASA-Johnson Space Center, Houston, TX, 1982.
Arya, L. M., Leij, F. J., van Genuchten, M. T., and Shouse, P. J.: Scaling parameter to predict the soil water characteristic from particle-size distribution, Soil Sci. Soc. Am. J., 63, 510–519, 1999.
Arya, L. M., Bowman, D. C., Thapa, B. B., and Cassel, D. K.: Scaling soil water characteristics of golf course and athletic field sands from particle-size distribution, Soil Sci. Soc. Am. J., 72, 25–32, 2008.
Basile, A. and D'Urso, G.: Experimental corrections of simplified methods for predicting water retention curves in clay-loamy soils from particle-size determination, Soil Technol., 10, 261–272, 1997.
Download