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volume 46 issue 4 (december 2012) : 317-323

MODELLING SOIL WATER CHARACTERISTICS OF AN INLAND VALLEY SOIL

A
A.I. Oyeogbe*
K
K.O. Oluwasemire
G
G.E. Akinbola
1Agrometerology/Simulation Modelling, Department of Agronomy, University Ibadan, Nigeria

  • Submitted|

  • First Online |

  • doi

Cite article:- Oyeogbe* A.I., Oluwasemire K.O., Akinbola G.E. (2025). MODELLING SOIL WATER CHARACTERISTICS OF AN INLAND VALLEY SOIL . Indian Journal of Agricultural Research. 46(4): 317-323. doi: .

ABSTRACT

Measured soil characteristics data served as an input to the model to generate the simulated data, subsequently compared and subjected to coefficient of determination (R2) to serve as a goodness-of-fit measurement. The soils textural class varied from Sand, Loamy sand and Sandy loam. There was a good fit between the measured and simulated soil water characteristics for Sandy loam and Sand texture class. For sandy loam soil (R2 = 0.77, Pisture content. A poor fit was observed for loamy sand soil and saturated for hydraulic conductivity for all the textural classes.

REFERENCES

  1. Arya, L.M. and Dierolf, T.S. (1992). Predicting soil moisture characteristics from particle-size distribution: An improved method to calculate pore radii. 115-124. In Proc. Int. Worhsh. On Indirect methods of estimating the hydraulic properties of unsaturated soils, van Genuchten et al.(ed) Riverside, CA. 11-13 0ct. 1989. U.S. Salinity Lab., Riverside.
  2. Bouma, J. (1989). Using soil survey data for quantitative land evaluation. Adv. Soil Sci. 9:177–213. FAO/UNESCO (1973). Soil classification manual.
  3. Fredlund, M.D., Wilson, G.W. and Fredlund, D.G. (2002). Use of grain size distribution for estimation of the soil water characteristics curve. Can. Geotechn. J., 39:1103-1117.
  4. Gijsman, A.J., Jagtap, S.S. and Jones, J.W. (2002). “Wading through a swamp of complete confusion: how to choose a method for estimating soil water retention parameters for crop models,” European J. Agro., 18:75-105.
  5. Grossman R.B. and Reinsch T.G. (2002). Bulk density and linear extensibility: Core method. In: Methods of Soil Analysis. Dane, J.H. and Topp, G.C. (Eds.), Part 4. Physical Methods. SSSA, Inc., Madison, WI, 208–228.
  6. Institute of Agricultural Research and Training (IAR&T). (2010). Rainfall data for the last 10 years for the prediction of time of planting. Annual in-house report for 2009/2010 of the Institute of Agricultural Research and Training, Moor Plantation, Ibadan.
  7. Hwang, S.I. and Powers S. (2003). Using particle-size distribution models to estimate soil hydraulic properties. Soil Sci. Soc. Am. J. 67:1103–1112.
  8. Lowery B., Arshad M.A. and Lal R. (1996). Soil water parameters and soil quality. In: Doran JW, and Jones AJ. (eds.), Methods for Assessing Soil Quality. Soil Sci. Soc. Am. Spec. Publication 49, SSSA, Madison, WI, 143–157.
  9. Rawls, W.J., Brakensiek, D.L. and Saxton, K.E. (1982b). Soil water characteristics. Trans. ASAE 25(5):13l6-1328.
  10. Ritchie, J.T. (1981). Soil water availability. Plant Soil 58:327-338.
  11. Saxton, K.E., Rawls, W.J., Romberger, J.S. and Papendick, R.I. (1986). Estimating generalized soil water characteristics from texture. Trans. ASAE 50:1031–1035.
  12. Saxton, K.E. and Rawls, W.J. (2006). Soil water characteristics estimates by texture and organic matter for hydrologic solutions. Soil Sci. Soc. Am. J. 70:1569-1578.
  13. Smyth, A.J. and Montgomery R.F. (1962). Soil and Land Use in Central Western Nigeria. Govt. Printer, Ibadan, 265.
  14. Tanji, K.K. (1990). Agricultural Salinity Assessment and Management. Amer. Soc. Civil Engr, New York, NY., 619.
  15. USDA-SCS. (1982). Procedures for collecting soil samples and methods of analysis for soil survey. Soil Survey Investigations Report I, Washington, DC.
  16. Willmott, C.J. (1981). On the validation of models. Phys. Geogr. 2, 184-194.
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    volume 46 issue 4 (december 2012) : 317-323

    MODELLING SOIL WATER CHARACTERISTICS OF AN INLAND VALLEY SOIL

    A
    A.I. Oyeogbe*
    K
    K.O. Oluwasemire
    G
    G.E. Akinbola
    1Agrometerology/Simulation Modelling, Department of Agronomy, University Ibadan, Nigeria

    • Submitted|

    • First Online |

    • doi

    Cite article:- Oyeogbe* A.I., Oluwasemire K.O., Akinbola G.E. (2025). MODELLING SOIL WATER CHARACTERISTICS OF AN INLAND VALLEY SOIL . Indian Journal of Agricultural Research. 46(4): 317-323. doi: .

    ABSTRACT

    Measured soil characteristics data served as an input to the model to generate the simulated data, subsequently compared and subjected to coefficient of determination (R2) to serve as a goodness-of-fit measurement. The soils textural class varied from Sand, Loamy sand and Sandy loam. There was a good fit between the measured and simulated soil water characteristics for Sandy loam and Sand texture class. For sandy loam soil (R2 = 0.77, Pisture content. A poor fit was observed for loamy sand soil and saturated for hydraulic conductivity for all the textural classes.

    REFERENCES

    1. Arya, L.M. and Dierolf, T.S. (1992). Predicting soil moisture characteristics from particle-size distribution: An improved method to calculate pore radii. 115-124. In Proc. Int. Worhsh. On Indirect methods of estimating the hydraulic properties of unsaturated soils, van Genuchten et al.(ed) Riverside, CA. 11-13 0ct. 1989. U.S. Salinity Lab., Riverside.
    2. Bouma, J. (1989). Using soil survey data for quantitative land evaluation. Adv. Soil Sci. 9:177–213. FAO/UNESCO (1973). Soil classification manual.
    3. Fredlund, M.D., Wilson, G.W. and Fredlund, D.G. (2002). Use of grain size distribution for estimation of the soil water characteristics curve. Can. Geotechn. J., 39:1103-1117.
    4. Gijsman, A.J., Jagtap, S.S. and Jones, J.W. (2002). “Wading through a swamp of complete confusion: how to choose a method for estimating soil water retention parameters for crop models,” European J. Agro., 18:75-105.
    5. Grossman R.B. and Reinsch T.G. (2002). Bulk density and linear extensibility: Core method. In: Methods of Soil Analysis. Dane, J.H. and Topp, G.C. (Eds.), Part 4. Physical Methods. SSSA, Inc., Madison, WI, 208–228.
    6. Institute of Agricultural Research and Training (IAR&T). (2010). Rainfall data for the last 10 years for the prediction of time of planting. Annual in-house report for 2009/2010 of the Institute of Agricultural Research and Training, Moor Plantation, Ibadan.
    7. Hwang, S.I. and Powers S. (2003). Using particle-size distribution models to estimate soil hydraulic properties. Soil Sci. Soc. Am. J. 67:1103–1112.
    8. Lowery B., Arshad M.A. and Lal R. (1996). Soil water parameters and soil quality. In: Doran JW, and Jones AJ. (eds.), Methods for Assessing Soil Quality. Soil Sci. Soc. Am. Spec. Publication 49, SSSA, Madison, WI, 143–157.
    9. Rawls, W.J., Brakensiek, D.L. and Saxton, K.E. (1982b). Soil water characteristics. Trans. ASAE 25(5):13l6-1328.
    10. Ritchie, J.T. (1981). Soil water availability. Plant Soil 58:327-338.
    11. Saxton, K.E., Rawls, W.J., Romberger, J.S. and Papendick, R.I. (1986). Estimating generalized soil water characteristics from texture. Trans. ASAE 50:1031–1035.
    12. Saxton, K.E. and Rawls, W.J. (2006). Soil water characteristics estimates by texture and organic matter for hydrologic solutions. Soil Sci. Soc. Am. J. 70:1569-1578.
    13. Smyth, A.J. and Montgomery R.F. (1962). Soil and Land Use in Central Western Nigeria. Govt. Printer, Ibadan, 265.
    14. Tanji, K.K. (1990). Agricultural Salinity Assessment and Management. Amer. Soc. Civil Engr, New York, NY., 619.
    15. USDA-SCS. (1982). Procedures for collecting soil samples and methods of analysis for soil survey. Soil Survey Investigations Report I, Washington, DC.
    16. Willmott, C.J. (1981). On the validation of models. Phys. Geogr. 2, 184-194.
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