Research Article

Prediction of Saturated Hydraulic Conductivity Using Soil Texture and Organic Carbon Under Different Land Use Types

Onasanya, O. O1*, F.K. Salako2, AJIBOYE G. A.3, Busari M. A.4
1 Department of Soil Science and Land Management, University of Agriculture, P.M.B. 2240 Abeokuta, Nigeria
2 Department of Soil Science and Land Management, Federal University of Agriculture, P.M.B. 2240, Abeokuta, Nigeria.
3 Department of Soil Science and Land Management, University of Agriculture, P. M. B. 2240, Abeokuta, Ogun State, Nigeria.
4 Department of Soil Science and Land Management, Federal University of Agriculture, Abeokuta, Ogun State
* Corresponding author: onasanyaoo@funaab.edu.ng
Published: Aug, 2016
DOI: 10.67042/njss.2016.x6j094qq
Pages: 311-318
Views: 529
Downloads: 663

Abstract

The aim of this study is to develop models for saturated hydraulic conductivity (Ks) in soils under different land use types in a tropical environment. The regression models were developed using the soil particle size fraction and organic carbon contents.The results indicated that the sand, clay and organic carbon content of the soils were sufficient in predicting the Ks. Also, there was a significant variation in the R2 values of the prediction models resulting from variations in the soil properties used across the land use type. Thus a separate Ks is required for each land use type. The R2 value of the models ranged from 37 % to 100 %.

Keywords

soil texture saturated hydraulic conductivity land use types organic carbon

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How to Cite

O, O. O., Salako, F., A., A. G., & A., B. M. (2016). Prediction of Saturated Hydraulic Conductivity Using Soil Texture and Organic Carbon Under Different Land Use Types. Nigerian Journal of Soil Science, 26(2), 311-318. https://doi.org/10.67042/njss.2016.x6j094qq

O. O. O, F. Salako, A. G. A., and B. M. A., "Prediction of Saturated Hydraulic Conductivity Using Soil Texture and Organic Carbon Under Different Land Use Types," Nigerian Journal of Soil Science, vol. 26, no. 2, pp. 311-318, August 2016. doi: 10.67042/njss.2016.x6j094qq

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