Abstract
This study is focussed on the determination of soil hydraulic parameters and the analysis of the moisture retention function for different soil textures. Experiments utilizing the pressure plate apparatus were conducted to estimate actual soil moisture characteristics. Optimal values of soil hydraulic parameters of Brooks and Corey (Hydraulic Properties of Porous Media. Civil Engineering Department, Colorado State University, Fort Collins, Colorado, 1964) [14], Van Genuchten (Soil Science Society America Journal 44:349–386, 1980) [16] and modified Van Genuchten (2006) [18] models were estimated using nonlinear regression in SPSS. These parameters were used as input in HYDRUS-1D forward simulation to yield analytical soil moisture retention curve. The analytically obtained moisture retention curve is compared with the actual SMC curve to assess the performance of nonlinear regression-based approach for identifying optimal soil hydraulic parameter values.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ojha, C.S., Prasad, K.S., Shankar, V., Madramootoo, C.A.: Evaluation of a nonlinear root-water uptake model. J. Irrig. Drainage Eng. 135(3), 303–312 (2009)
Celia, M.A., Bouloutas, E.T., Zarba, R.L.: A general mass conservative numerical solution for the unsaturated flow equation. Water Resour. Res. 26, 1483–1496 (1990)
Poddar, A., Kumar, N., Shankar, V.: Evaluation of two irrigation scheduling methodologies for potato (Solanum tuberosum L.) in north-western mid-hills of India. ISH J. Hydraul. Eng., 1–10 (2018). https://doi.org/10.1080/09715010.2018.1518733
Shin, Y., Mohanty, B.P., Ines, A.V.M.: Soil hydraulic properties in one dimensional layered soil profile using layer-specific soil moisture assimilation scheme. Water Resour. Res. 48, W06529 (2012). https://doi.org/10.1029/2010WR009581
Kumar, R., Jat, M.K., Shankar, V.: Evaluation of modeling of water ecohydrologic dynamics in soil-root system. Ecol. Model. 269, 51–60 (2013)
Govindraju, R.S., Or, D., Kavvas, M.L., Rolston, D.E., Biggar, J.: Error analyses of simplified unsaturated flow models under large uncertainty in hydraulic properties. Water Resour. Res. 28(11), 2913–2924 (1992)
Mohanty, B.P., Zhu, J.: Effective averaging schemes for hydraulic parameters in horizontally and vertically heterogeneous soils. J. Hydrometeorol 8(4), 715–729 (2007). https://doi.org/10.1175/JHM606.1
Richards, L.A.: Physical condition of water in soil. In: Black C.A. et al. (eds.) Method of Soil Analysis Part 1, pp. 128–151. American Society Agronomy, Madison, Wisconsin (1965)
Stone, L.R., Horton, M.L., Olson, T.C.: Water loss from an irrigated sorghum field: I. Water flux within and below the root zone. Agron. J. 65, 492–497 (1973)
Gupta, S.C., Larson, W.E.: Estimating soil water retention characteristics from particle size distribution, organic matter percent and bulk density. Water Resour. Res. 15(6), 1633–1635 (1979)
Ghosh, R.K.: Estimation of soil-moisture characteristics from mechanical properties of soils. Soil Sci. 130, 60–63 (1980)
Nandagiri, L., Prasad, R.: Relative performance of textural models in estimating soil moisture characteristic. J. Irrig. Drainage 123, 211–214 (1997)
Huang, X., Gao, B.: Review of soil moisture characteristic curve. J. Agric. Technol. Serv. 33 (2016)
Brooks, R.H., Corey, A.T.: Hydraulic Properties of Porous Media. In: Hydrology paper no. 3. Civil Engineering Department, Colorado State University, Fort Collins, Colorado (1964)
Campbell, G.S.: A simple method for determining unsaturated conductivity from moisture retention data. Soil Sci. 117, 311–314 (1974)
Van Genuchten, M.T.: A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44, 349–386 (1980)
Kosugi, K.: Lognormal distribution model for unsaturated soil hydraulic properties. Water Resour. Res. 32(9), 2697–2703 (1996)
Schaap, M.G., Van Genuchten, M.T.: A modified Mualem–van Genuchten formulation for improved description of the hydraulic conductivity near saturation. Vadose Zone J. 5(1), 27–34 (2006)
Trout, T.J., Garcia-Castillas, I.G., Hart, W.E.: Soil Water Engineering: Field and Laboratory Manual. Academic Publishers, Jaipur, India (1982)
Simunek, J., Sejna, M., Saito, H., Sakai, M., Van Genuchten, M.T.: Manual for HYDRUS-1D. Department of Environment Sciences, University of California, California (2013)
Shankar, V., Hari Prasad, K.S., Ojha, C.S.P., Govindaraju, R.S.: Model for nonlinear root water uptake parameter. J. Irrig. Drainage Eng. 138(10), 905–917 (2012)
Acknowledgements
The authors would like to acknowledge the Civil Engineering Department, National Institute of Technology, Hamirpur, for providing necessary facilities related to experimental work for the study. The funding is provided through MoES-NERC funded project “Sustaining Himalayan Water Resources in a Changing Climate”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
Statistical analysis of Brooks–Corey model for loamy sand soil.
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, N., Poddar, A., Shankar, V. (2020). Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters. In: Dutta, D., Mahanty, B. (eds) Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. https://doi.org/10.1007/978-981-15-3215-3_3
Download citation
DOI: https://doi.org/10.1007/978-981-15-3215-3_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3214-6
Online ISBN: 978-981-15-3215-3
eBook Packages: EngineeringEngineering (R0)