RESEARCH PAPER
Fitting the van Genuchten model to the measured hydraulic parameters in soils of different genesis and texture at the regional scale
,
 
 
 
More details
Hide details
1
Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
 
2
Department of Civil Engineering and Environmental Sciences, Białystok University of Technology, Wiejska 45E, 15-351 Białystok, Poland
 
 
Final revision date: 2024-07-17
 
 
Acceptance date: 2024-07-18
 
 
Publication date: 2024-09-03
 
 
Corresponding author
Jerzy Lipiec   

Zakład Badań Systemu Gleba-Roślina, Instytut Agrofizyki PAN, ul. Doświadczalna 4, 20-290, Lublin, Poland
 
 
Int. Agrophys. 2024, 38(4): 373-382
 
Data availability: Data will be made available on request from the corresponding author – Jerzy Lipiec. Author contributions: B.U. – conceptualization, investigation, formal analysis; J.L. – conceptualization, writing – original draft; A.S. – formal analysis, visualization. All authors reviewed the manuscript.
HIGHLIGHTS
  • van Genuchten (vG) function fitted well to the measured soil water retention
  • vG parameters were less influenced by the genetic type than the soil texture
  • vG parameters were more discontinuous in fine than coarse-textured soils
KEYWORDS
TOPICS
ABSTRACT
Soil hydraulic parameters are a key input for predicting soil water retention curves and water flow. The van Genuchten model is widely used to fit the van Genuchten hydraulic parameters including residual water content, saturated water content, a fitting parameter related to the inverse of the air entry pressure, and the shape parameter. This study aimed to show the interrelations of the soil hydraulic parameters on a large scale with both the inherent soil properties and the genetic type. The measured van Genuchten parameters originated from soil water retention curves determined in 100 pedons at 4 depths corresponding to the main soil diagnostic horizons. The results showed that the effect of soil texture on the van Genuchten hydraulic parameters was greater than that of the genetic soil type. The van Genuchten hydraulic parameters were in general significantly higher in fine-textured than coarse-textured soils. The vertical distribution of the hydraulic parameters was more discontinuous in fine- than in coarse-textured soils. The van Genuchten equation fits well to measured soil water retention (R2 > 0.885) and thereby can predict the soil water retention curve for a variety of soils with acceptable uncertainty and improve soil water conservation on a large regional scale.
FUNDING
This work was partially funded by the HORIZON 2020, European Commission, Programme: H2020-SFS-2015-2: SoilCare for profitable and sustainable crop production in Europe, project No. 677407 (SoilCare, 2016-2021).
CONFLICT OF INTEREST
The authors declare no competing interests.
REFERENCES (53)
1.
Albuquerque, E.A.C., de Faria Borges, L.P., Cavalcante, A.L.B., Machado, S.L., 2022. Prediction of soil water retention curve based on physical characterization parameters using machine learning. Soils Rocks, São Paulo 45(3):e2022000222. https://doi.org/10.28927/SR.20....
 
2.
AL-Kayssi, A.W., 2021. Use of water retention data and soil physical quality index S to quantify hard-setting and degree of soil compactness indices of gypsiferous soils. Soil Till. Res. 206, 104805. https://doi.org/10.1016/j.stil....
 
3.
Bai, X., Shao, M.A., Jia, X.X., Zhao, C.L., 2022. Prediction of the van Genuchten model soil hydraulic parameters for the 5-m soil profile in China's Loess Plateau. Catena 210, 105889. https://doi.org/10.1016/j.cate....
 
4.
Batjes, N.H., Ribeiro, E., van Oostrum, A., 2020. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019). Earth System Science Data 12, 299-320. https://doi.org/10.5194/essd-1....
 
5.
Bieganowski, A., Zaleski, T., Kajdas, B., Sochan, A., Józefowska, A., Beczek, M., et al., 2018. An improved method for determination of aggregate stability using laser diffraction. Land Degradation Develop. 29(5), 1376-1384. doi:10.1002/ldr.2941.
 
6.
Bondì, C., Castellini, M., Iovino, M., 2022. Compost amendment impact on soil physical quality estimated from hysteretich water retention curve. Water 14, 1002. https://doi.org/10.3390/w14071....
 
7.
Bouma, J., Anderson, J.L., 1997. Water movement through pedal soils. I. Saturated flow. Soil Sci. Soc. Am. J. 41, 413-418.
 
8.
Costantini, E.A.C., Mocali, S., 2022. Soil health, soil genetic horizons and biodiversity. J. Plant Nutr. Soil Sci. 185, 24-34. doi:10.1002/jpln.202100437.
 
9.
Dexter, A.R., 2004. Soil physical quality: part III. Unsaturated hydraulic conductivity and general conclusions about S theory. Geoderma 120: 227-239. doi:10.1016/j.geoderma.2003.09.006.
 
10.
Dexter, A.R., Czyż, E.A., 2007. Applications of S-theory in the study of soil physical degradation and its consequences. Land Degradation Develop. 18, 369-381. https://doi.org/10.1002/ldr.77....
 
11.
Du, C., Lu, X., Yi, F., 2024. Impact of modifiers on soil-water characteristics of graphite tailings. Sci. Rep. 14, 4186. https://doi.org/10.1038/s41598....
 
12.
Fleskens, L., Ritsema, C., Bai, Z., Geissen, V., Mendes de Jesus, J., da Silva, V., et al., 2020. Tested and validated final version of SQAPP (143 pp.) iSQAPER Project Deliverable 4.2. The Soil Quality Mobile App (SQAPP). www.isqaper-is.eu.
 
13.
Fu, Y., Horton, R., Heitman, J., 2021. Estimation of soil water retention curves from soil bulk electrical conductivity and water content measurements. Soil Till. Res. 209, 104948. doi:10.1016/j.still.2021.1049485.
 
14.
Fuentes, C., Chávez, C., Brambila, F., 2020. Relating hydraulic conductivity curve to soil-water retention curve using a fractal model. Mathematics 8, 2201. doi:10.3390/math8122201.
 
15.
Guillaume, B., Aroui Boukbida, H., Bakker, G., Bieganowski, A., Brostaux, Y., Cornelis, W., et al., 2023. Reproducibility of the wet part of the soil water retention curve: A European interlaboratory comparison. EGUsphere 9, 1-23. https://doi.org/10.5194/egusph....
 
16.
Heitman, J., Zhan, X., Xiao, X., Ren, T., Horton, R., 2020. Advances in heat-pulse methods: Measuring soil water evaporation with sensible heat balance. Soil Sci. Soc. Am. J. 84, 1371-1375. https://doi.org/10.1002/saj2.2....
 
17.
Hengl, T., Mendes de Jesus, J., Heuvelink, G.B.M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotić, A., et al., 2017. SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12 (2), e0169748. https://doi.org/10.1371/journa.... pone.0169748.
 
18.
Hessel, R., Wyseure, G., Panagea, I.S., Alaoui, A., Reed, M.S., van Delden, H., et al., 2022. Soil-improving cropping systems for sustainable and profitable farming in Europe. Land 11, 780. https://doi.org/10.3390/land11....
 
19.
Hopmans, J.W., Nielsen, D.R., Bristow, K.L., 2002. How useful are small-scale soil hydraulic property measurements for large-scale vadose zone modeling. In: D. Smiles, P.A.C. Raats, A. Warrick (Eds.), Heat and Mass Transfer in the Natural Environment, The Philip Volume AGU, Geophysical Monograph Series No. 129, 247-258.
 
20.
Huang, J., Hartemink, A.E., 2020. Soil and environmental issues in sandy soils. Earth-Science Reviews 208, 103295. https://doi.org/10.1016/j.ears....
 
21.
Jabro, J.D., Stevens, W.B., 2022. Pore size distribution derived from soil-water retention characteristic curve as affected by tillage intensity. Water 14, 3517. https://doi.org/10.3390/w14213....
 
22.
Khlosi, M., Alhamdoosh, M., Douaik, A., Gabriels, D., Cornelis, W.M., 2016. Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil. Eur. J. Soil Sci. 67, 276-284.
 
23.
Klute, A., Dirksen, C., 1986a. Water retention. Laboratory methods. In: A. Klute (Ed.), Methods of Soil Analysis. Part 1. Physical and Mineralogical Methods. SSA Book Series Vol. 5.
 
24.
Klute, A., Dirksen, C. 1986b. Hydraulic conductivity and diffusivity: Laboratory methods. In: A. Klute (Ed.), Methods of Soil Analysis. Part 1. Physical and Mineralogical Methods. SSA Book Series Vol. 5.
 
25.
Krzyszczak, J., Baranowski, P., Pastuszka-Woźniak, J., Wesołowska, M., Cymerman, J., Sławiński, C., et al., 2023. Assessment of soil water retention characteristics based on VNIR/SWIR hyperspectral imaging of soil surface. Soil Till. Res. 233, 105789. doi:10.1016/j.still.2023.105789.
 
26.
Kumar, P.S., Korving, L., Keesman, K.J., van Loosdrecht, M.C.M., Witkamp, G.J., 2019. Effect of pore size distribution and particle size of porous metal oxides on phosphate adsorption capacity and kinetics. Chemical Eng. J. 358,160-169. https://doi.org/10.1016/j.cej.....
 
27.
Lipiec, J., Usowicz, B., Kłopotek, J., Turski, M., Frąc, M., 2021. Effects of application of recycled chicken manure and spent mushroom substrate on organic matter, acidity, and hydraulic properties of sandy soils. Materials 14, 4036. https://doi.org/10.3390/ma1414....
 
28.
Lipiec, J., Walczak, R., Witkowska-Walczak, B., Nosalewicz, A., Słowińska-Jurkiewicz, A., Sławiński, C., 2007. The effect of aggregate size on water retention and pore structure of silt loam soils of different genesis. Soil Till. Res. 97, 239-246. https://doi.org/10.1016/j.stil....
 
29.
Liu, L., Lu, Y., Horton, R., Ren, T., 2024. Determination of soil water retention curves from thermal conductivity curves, texture, bulk density, and field capacity. Soil Till. Res. 237, 105957. https://doi.org/10.1016/j.stil....
 
30.
Lu, D., Wang, H., Huang, D., Li, D., Sun, Y., 2020. Measurement and estimation of water retention curves using electrical resistivity data in porous media. J. Hydrologic Eng. 25(6). http://dx.doi.org/10.1061/(ASC....
 
31.
Maruszczak, H., 2000. Definition and classification of loesses and loess-like deposits (in Polish). Przegląd Geologiczny 48, 580-586.
 
32.
Minasny, B., McBratney, A. B., 2007. Estimating the water retention shape parameter from sand and clay content, Soil Sci. Soc. Am. J. 71, 1105-1110.
 
33.
Mosquera, G. M., Franklin, M., Jan, F., Rolando, C., Lutz, B., David, W., et al., 2021. A field, laboratory, and literature review evaluation of the water retention curve of volcanic ash soils: How well do standard laboratory methods reflect field conditions?, Hydrol. Proc. 35, e14011, https://doi.org/10.1002/HYP.14....
 
34.
Ostrowska, A., Gawliński, S., Szczubiałka, Z., 1991. Analyses and Evaluation Methods of Soil and Plants (in Polish). Institute of Environmental Protection, Warsaw, pp. 334.
 
35.
Paluszek, J., 2011. Criteria of evaluation of soil physical quality of polish arable soils (in Polish). Acta Agrophysica 191, 1-139.
 
36.
Pachepsky, Y.A., Rawls, W.J., Gimenez, D., 2001. Comparison of soil water retention at field and laboratory scales. Soil Sci. Soc. Am. J. 65, 460-462.
 
37.
Rawls, W.J., Pachepsky, Y., Shen, M.H., 2001. Testing soil water retention estimation with the MUUF pedotransfer model using data from the southern United States. J. Hydrol. 251(3), 177-185. https://doi.org/10.1016/S0022-....
 
38.
Satyanaga, A., Bairakhmetov, N., Kim, J.R., Moon, S.-W., 2022. Role of bimodal water retention curve on the unsaturated shear strength. Applied Sciences 12, 1266. https://doi.org/10.3390/app120....
 
39.
Szymkiewicz, A., Lewandowska, J., Angulo-Jaramillo, R., Butlańska, J., 2008. Two-scale modeling of unsaturated water flow in a double porosity medium under axisymmetric conditions. Canadian Geotechnical J. 45(2), 238-251. https://doi.org/10.1139/T07-09....
 
40.
Świtoniak, M., Kabała, C., Charzyński, P., Capra, G.F., Czigány, S., Pulido-Fernández, M., et al., 2022. Illustrated Handbook of WRB Soil Classification. Wroclaw, Poland. Publisher: Wydawnictwo Uniwersytetu Przyrodniczego, Wrocław, Poland.
 
41.
Tian, Z., Gao, W., Kool, D., Ren, T., Horton, R., Heitman, J.L., 2018. Approaches for estimating soil water retention curves at various bulk densities with the extended van Genuchten model. Water Res. Res. 54, 5584-5601. https://doi.org/10.1029/2018WR....
 
42.
Tian, Z., Ren, T., Horton, R., Heitman, J.L., 2020. Estimating soil bulk density with combined commercial soil water content and thermal property sensors. Soil Till. Res. 196, 104445. doi:10.1016/j.still.2019.104445.
 
43.
Usowicz, B., 2011. Development of physical and statistical parameters of selected soil units, taking into account mathematical modeling (in Polish). Project report “Criteria for assessing the physical condition of selected systematic units of arable soils”, Ministry of Science and Higher Education No. N N310 3088 34, 2008-2011, Lublin, 2011, pp. 1-30.
 
44.
Usowicz B., Lipiec J., 2022. Spatial variability of thermal properties in relation to the application of selected soil-improving cropping systems (SICS) on sandy soil. Int. Agrophys. 36(4), 269-284. https://doi.org/10.31545/intag....
 
45.
Usowicz, B., Paluszek, J., Rejman, J., 2011. Modeling of water retention curve of variously textured Orthic Luvisols. 28. 28th Congress of Polish Society of Soil Science, Toruń, 5-10.09.2011. Program and abstracts p.145.
 
46.
van Genuchten, M.T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 4, 892-898.
 
47.
van Genuchten, M.T., Pachepsky, Y.A., 2011. Hydraulic properties of unsaturated soils. In: J. Gliński, J. Horabik, J. Lipiec (Eds) Encyclopedia of Agrophysics, Springer Dordrecht, Heidelberg, London, New York, 368-376.
 
48.
van Looy, K., Bouma, J., Herbst, M., Koestel, J., Minasny, B., Mishra, U., et al., 2017. Pedotransfer functions in Earth system science: Challenges and perspectives. Rev. Geophys. 55, 1199-1256. https://doi.org/10.1002/2017RG....
 
49.
Vizitiu O., Calciu I., Pănoiu I., Simota C., 2011. Soil physical quality as quantified by S index and hydrophysical indices of some soils from Arges hyrographic basin. Res. J. Agric. Sci. 43, 249-261.
 
50.
Vogel, H.-J., 2019. Scale issues in soil hydrology. Vadose Zone J. 18: 190001. https://doi.org/10.2136/vzj201....
 
51.
Wang, M., Wang, J., Xu, G., Zheng, Y., Kang, X., 2021. Improved model for predicting the hydraulic conductivity of soils based on the Kozeny-Carman equation. Hydrol. Res. 52, 719-733. https://doi.org/10.2166/nh.202....
 
52.
Wang, Y., Ma, R., Zhu, G., 2022. Improved prediction of hydraulic conductivity with a soil water retention curve that accounts for both capillary and adsorption forces. Water Res. Res. 58, e2021WR031297. https://doi.org/10.1029/2021WR....
 
53.
Wösten, J.H.M., Lilly, A., Nemes, A., Le Bas, C., 1999. Development and use of a database of hydraulic properties of European soils. Geoderma 90, 169-185. https://doi.org/10.1016/S0016-....
 
eISSN:2300-8725
ISSN:0236-8722
Journals System - logo
Scroll to top