2018Journal of King Saud University - ScienceOpen access

Predicting hydraulic conductivity around septic tank systems using soil physico-chemical properties and determination of principal soil factors by multivariate analysis

S. A. Ganiyu, J. A. Rabiu, R.O. Olatoye

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Abstract

The knowledge of soil hydraulic conductivity is essential for the study of waste water infiltration rate into the soil subsurface. This study assesses selected soil hydraulic properties of soil around septic tank systems. Twelve soil samples were collected from four different locations within Ido Local Government Area, Oyo State, Nigeria. The analyzed parameters were done based on standard procedures. The measured values of soil physico-chemical properties were used to predict Ksat using multiple linear regression analysis. The soil water content, porosity, Organic Carbon, Soil pH, bulk density, soil resistivity and saturated hydraulic conductivity (Ksat) ranged from 20.6 to 26.2%, 34.3 to 47.2%, 0.11 to 0.37%, 5.8 to 6.2, 1.40 to 1.74 g/cm3, 4.55 to 5.80 O cm and 1.34 to 10.52 mm/hr respectively. The relationship obtained from regression analysis on data (R2 = 86.8) is a new model with empirical linear equation Ksat=82.08-5.93BD-10.98RES-2.69wc-16.12O.C+9.38pH which allows a new relation to estimate Ksat from the selected parameters. Principal component analysis (PCA) identified 3 major factors accounting for 92.7% of the total variation in the soil hydraulic variables. The result of Cluster Analysis (CA) shows groups based on correlation between hydraulic parameters and topographic settings.

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What this paper is about

The knowledge of soil hydraulic conductivity is essential for the study of waste water infiltration rate into the soil subsurface. This study assesses selected soil hydraulic properties of soil around septic tank systems. Twelve soil samples were collected from four different locations within Ido Local Government Area, Oyo State, Nigeria. The analyzed parameters were done based on standard procedures. The measured values of soil physico-chemical properties were used to predict Ksat using multiple linear regression analysis. The soil water content, porosity, Organic Carbon, Soil pH, bulk density, soil resistivity and saturated hydraulic conductivity (Ksat) ranged from 20.6 to 26.2%, 34.3 to 47.2%, 0.11 to 0.37%, 5.8 to 6.2, 1.40 to 1.74 g/cm3, 4.55 to 5.80 O cm and 1.34 to 10.52 mm/hr respectively. The relationship obtained from regression analysis on data (R2 = 86.8) is a new model with empirical linear equation Ksat=82.08-5.93BD-10.98RES-2.69wc-16.12O.C+9.38pH which allows a new relation to estimate Ksat from the selected parameters. Principal component analysis (PCA) identified 3 major factors accounting for 92.7% of the total variation in the soil hydraulic variables. The result of Cluster Analysis (CA) shows groups based on correlation between hydraulic parameters and topographic settings.

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Available abstract

The knowledge of soil hydraulic conductivity is essential for the study of waste water infiltration rate into the soil subsurface. This study assesses selected soil hydraulic properties of soil around septic tank systems. Twelve soil samples were collected from four different locations within Ido Local Government Area, Oyo State, Nigeria. The analyzed parameters were done based on standard procedures. The measured values of soil physico-chemical properties were used to predict Ksat using multiple linear regression analysis. The soil water content, porosity, Organic Carbon, Soil pH, bulk density, soil resistivity and saturated hydraulic conductivity (Ksat) ranged from 20.6 to 26.2%, 34.3 to 47.2%, 0.11 to 0.37%, 5.8 to 6.2, 1.40 to 1.74 g/cm3, 4.55 to 5.80 O cm and 1.34 to 10.52 mm/hr respectively. The relationship obtained from regression analysis on data (R2 = 86.8) is a new model with empirical linear equation Ksat=82.08-5.93BD-10.98RES-2.69wc-16.12O.C+9.38pH which allows a new relation to estimate Ksat from the selected parameters. Principal component analysis (PCA) identified 3 major factors accounting for 92.7% of the total variation in the soil hydraulic variables. The result of Cluster Analysis (CA) shows groups based on correlation between hydraulic parameters and topographic settings.

Key concepts: Hydraulic conductivity, Soil science, Pedotransfer function, Environmental science, Infiltration (HVAC), Soil test, Bulk density, Regression analysis

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