MODELS OF SOIL WATER CHARACTERISTICS CURVES: A REVIEW

  • B. S. Ojo
  • M. M. Maina
Keywords: bimodal, soil water characteristics curve, subsoil, topsoil, unimodal

Abstract

Soil water characteristic curve (SWCC) is very important in the study of unsaturated soil because it represents a soil’s ability to store and release water as it is subjected to various soil suctions. This storage of moisture in soil is paramount in irrigation engineering, as it determines the irrigation scheduling in dryland. This study reviews some SWCC model’s performance to predict the soil from some selected soils in Nigeria from previous work. This previous work contains 7 points between 0 – 1,500 kPa. Seki, which is bimodal, tends to perform better than the rest with R2 value of 0.99. Generally, the bimodal models performed better than the unimodal, due to the flexibility of the curve. However, with the removal of the reference point of 1,000,000kPa (leaving 7 points), all the unimodal models had good performance in the topsoil. Fredlund and Xing performed best and van Genuchten performed poorly in the subsoil. Also, it was observed with the increase in both the organic matter contents and electrical conductivity, the performance of the models decreased. From this review, it is observable that in analysis of 8 or more points and 3 to 7 points Seki’s model and Fredlund and Xing model can be used respectively for further research in the study of dryland soils of Nigeria

References

Bello Yamusa, Y., Azril Hezmi, M., Ahmad, K., Anuar Kassim, K., Sa’Ari, R., Alias, N., Mustaffar, M., Kassim, A., & Rashid, A. S. A. (2019). Soil water characteristic curves for laterite soil at different water contents and methods as lining system. IOP Conference Series: Materials Science and Engineering, 527(1). https://doi.org/10.1088/1757-899X/527/1/012002

Bittelli, M., & Flury, M. (2009). Errors in Water Retention Curves Determined with Pressure Plates. In Soil Science Society of America Journal (Vol. 73, Issue 5, pp. 1453–1460). https://doi.org/10.2136/sssaj2008.0082

Bordoni, M., Bittelli, M., Valentino, R., Chersich, S., & Meisina, C. (2017). Improving the estimation of complete field soil water characteristic curves through field monitoring data. Journal of Hydrology, 552, 283–305. https://doi.org/10.1016/j.jhydrol.2017.07.004

Bot, A., & Benites, J. (2005). The importance of soil organic matter Key to drought-resistant soil and sustained food production. In FAO SOILS BULLETIN 80. https://www.fao.org/3/a0100e/a0100e00.htm#Contents

Brooks, R. H., & Corey, A. T. (1966). Properties of Porous Media Affecting Fluid Flow. Journal of the Irrigation and Drainage Division, 92(2), 61–88. https://doi.org/10.1061/jrcea4.0000425

Cao, B., Tian, Y., Gui, R., & Liu, Y. (2021). Experimental Study on the Effect of Key Factors on the Soil–Water Characteristic Curves of Fine-Grained Tailings. Frontiers in Environmental Science, 9(August), 1–8. https://doi.org/10.3389/fenvs.2021.710986
Published
2022-11-18
How to Cite
OjoB. S., & MainaM. M. (2022). MODELS OF SOIL WATER CHARACTERISTICS CURVES: A REVIEW. FUDMA JOURNAL OF SCIENCES, 6(5), 115 - 124. https://doi.org/10.33003/fjs-2022-0605-1109