EVALUATION OF DIFFERENT MODELS FOR PREDICTING SOIL WATER RETENTION FROM A SEMIARID REGION OF DUHOK

  • AKRAM ABBAS KHALAF Dept. of Soil & Water Sciences, College of Agricultural Engineering Science, University of Duhok, Kurdistan Region-Iraq
Keywords: uni-model, bi-models soil water retention curve, soil texture, saturated moisture content, residual moisture content

Abstract

A study was carried out to examine the capability of bi and uni- models to explore water retention data for two different textured soils from a semiarid region Duhok-Iraqi Kurdistan.

A soil hydraulic model, can be used to derive the parameters of soil hydraulic properties for describing soil water movement. The program "SWRC Fit," which performs nonlinear fitting of soil water retention curves for the two examined soils using six models, was employed for this purpose.

The six models are the Brooks Corey, van Genuchten, Kosugi, Fredlund and Xing model as uni models and Durner and Seki as a bimodal model used for this purpose.

The program can be carried out straightly from a web page at http://purl.org/net/swrc/; The program was used for determining Fifteen parameters of soil hydraulic for two different textured soils. As related to Berderash sandy loam soil the LN uni-model revealed better performance than the FX, BC and VG models and at same time the FX, BC and VG models exhibit similar fitting precision on average. Whereas bi-models is shown that the Durner’s bi- model (DB) revealed very well fitting performance than that of the bi-log-normal distribution model (BL) models, regarding to Zawita clay soil it revealed that the uni -models, of BC, VG, FX and LN revealed good fitting performance with similar fitting precision on average. Whereas in bi- models it was noticed that the log-normal distribution model (BL) gave very well-suitable performance than that of the Durner’s b- model (DB).

After comparing between the uni-models and bi-models of the six mentioned soil hydraulic models from accuracy and coefficient determination (R2), for two different textured soils under the study it can be illustrated: firstly, for fine texture soil (clay soil) the most precision fitting performance was found by model (BL), whereas for light texture soil (sandy loam soil) the most very well-fitting performance was noticed by (DB) model, and secondly the bi-models hydraulic were better than uni-models in fitting performance.

Downloads

Download data is not yet available.

References

AL-Wazan, Faris Akram Salih,2014 Inverse Modeling to Predict Some Hydraulic Properties by Using Mathematical and Artificial Neural Network Methods for Some Soils in Nineveh Province / Iraq. Ph.D. Thesis. University of Mosul. Iraq
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19, 716–723.

Brutsaert, W. (1966) Probability laws for pore-size distribution, Soil Sci., 101, 85–92, 412
Brooks, R.H., and A.T. Corey (1964): Hydraulic properties of porous media. Hydrol. Paper 3. Colorado State Univ., Fort Collins, CO, USA.
Durner, W. (1994): Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water Resour. Res., 30(2
Fredlund, D.G. and Xing, A. (1994): Equations for the soil-water characteristic curve. Can. Geotech. J., 31: 521-532. doi:10.1139/t94-061
Hopmans, J.W., and G.H. Schoups. 2005. Soil water flow at different spatial scales. p. 999–1010. In M. Anderson (ed.) Encyclopedia of hydrological sciences. John Wiley & Sons, New York.
John R. Nimmo .(1994) Modeling of soil water retention from saturation to oven dryness Cinzia Rossi Instituteo f Hydraulics, Water Researches, Vol. 30, NO. 3, Pages: 701-708M, University of Genoa, Italy.
Kosugi, K. (1996): Lognormal distribution model for unsaturated soil hydraulic properties. Water Resour. Res. 32: 2697-2703. doi:10.1029/96WR01776
Kosugi, K.(1994) Three-parameter lognormal distribution model for soil water retention, Water Resour. Res. 30(4), 891–901, 420.
Khalaf, Akram. Abbas. (2010) Approaches to evaluate the performance of indigenous materials on seepage reduction A dissertation submitted to the college of Agriculture, University of Salahuddin, Erbil, Iraq.
Muhammed Noori, Muradjan Mudhaffer. (2016) Growth and Yield of Maize as Influenced by Genotype and Irrigation Water Quality Using Aqua Crop Model. M Sc thesis college of Agriculture, University of Duhok.
Nemes, A., Shaap, M. G., Leij, F. J., and W¨osten, J. H. M.: Description of the unsaturated soil hydraulic database UNSODA version 2.0, J. Hydrol. (Amsterdam), 251, 151–162, 2001. 411,418, 419
Poulsen, T. G., Moldrup, P., Iversen, B. V., and Jacobsen, O. H.: Three-region Campbell model15 for unsaturated hydraulic conductivity in undisturbed soils, Soil Sci. Soc. Am. J., 66, 744–752,2002. 409
Schaap, M. G., Leij, F. J. and van Genuchten, M. Th. 2001. Rosetta: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J. Hydrol. 251: 163–176
Seki, K. (2007) SWRC fit –a nonlinear fitting program with a water retention curve for soils having unimodal and bimodal pore structure. Hydrol. Earth Syst. Sci. Discuss., 4: 407-437. doi:10.5194/hessd-4-407-2007.
Too, V.K., Omuto, C.T., Biamah, E.K. and Obiero, J.P. (2014) Review of Soil Water Retention Characteristic (SWRC) Models between Saturation and Oven Dryness. Open Journal of Modern Hydrology, 4, 173-18.
http://dx.doi.org/10.4236/ojmh.2014.44017 van Genuchten, M. (1980): A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am J. 44:892-898.
Vogel, T., van Genuchten, M. T., and Cislerova, M.: Effect of the shape of the soil hydraulicfunctions near saturation on variably-saturated flow predictions, Adv. Water Res., 24(2), 133–144, 2000. 420
Xu, Y. 2004. Calculation of unsaturated hydraulic conductivity using a fractal model for the pore-size distribution. Compute. Geotech. 31: 549–557.
Published
2022-05-23
How to Cite
KHALAF, A. A. (2022). EVALUATION OF DIFFERENT MODELS FOR PREDICTING SOIL WATER RETENTION FROM A SEMIARID REGION OF DUHOK. Journal of Duhok University, 25(1), 1-10. https://doi.org/10.26682/ajuod.2022.25.1.1
Section
Agriculture and Veterinary Science