2019International Journal of Chemical StudiesOpen access

Prediction of hydraulic conductivity and correlating it with soil properties for Coimbatore district

Nivetha An, KP Ragunath, R. Kumaraperumal, Balaji Kannan, N. Chandra Sekaran

Open full text 0 citations

Abstract

In this study, the saturated hydraulic conductivity was indirectly predicted from soil textural data and the effect of other soil factors on hydraulic conductivity was examined. The study was conducted in Coimbatore district, Tamil Nadu. The soil samples were collected from two different depths (0-15cm and 15-30cm). The samples were examined for both physical and chemical properties. The hydraulic conductivity was indirectly derived from textural data based on Saxton et al. (1986) model. The result revealed that the sand and particle density showed higher correlation values of r = 0.6 and r = 0.26 compared to other soil properties. The prediction performance of the model had coefficient of determination of 51%, hence it is concluded that the Saxton model is suitable for indirect determination of saturated hydraulic conductivity.

About this research paper

What this paper is about

In this study, the saturated hydraulic conductivity was indirectly predicted from soil textural data and the effect of other soil factors on hydraulic conductivity was examined. The study was conducted in Coimbatore district, Tamil Nadu. The soil samples were collected from two different depths (0-15cm and 15-30cm). The samples were examined for both physical and chemical properties. The hydraulic conductivity was indirectly derived from textural data based on Saxton et al. (1986) model. The result revealed that the sand and particle density showed higher correlation values of r = 0.6 and r = 0.26 compared to other soil properties. The prediction performance of the model had coefficient of determination of 51%, hence it is concluded that the Saxton model is suitable for indirect determination of saturated hydraulic conductivity.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this study, the saturated hydraulic conductivity was indirectly predicted from soil textural data and the effect of other soil factors on hydraulic conductivity was examined. The study was conducted in Coimbatore district, Tamil Nadu. The soil samples were collected from two different depths (0-15cm and 15-30cm). The samples were examined for both physical and chemical properties. The hydraulic conductivity was indirectly derived from textural data based on Saxton et al. (1986) model. The result revealed that the sand and particle density showed higher correlation values of r = 0.6 and r = 0.26 compared to other soil properties. The prediction performance of the model had coefficient of determination of 51%, hence it is concluded that the Saxton model is suitable for indirect determination of saturated hydraulic conductivity.

Key concepts: Hydraulic conductivity, Soil science, Conductivity, Bulk density, Correlation coefficient, Environmental science, Soil test, Tamil

Related papers

Back to paper searchBrowse research topicsOriginal source
Prediction of hydraulic conductivity and correlating it with soil properties for Coimbatore district — Research Paper | ScholarLens