Modeling of Soil Water Infiltration of Soil Amended with Selected Organic Matter Using Design Expert Software

Articles in Press

Document Type : Original Article

Authors

1 Department of Water Resources and Environmental Engineering, Ahmadu Bello University Zaria, Nigeria

2 Department of Chemical Engineering, Ahmadu Bello University Zaria, Nigeria.

3 Department of Water Resources and Environmental Engineering, Ahmadu Bello University Zaria, Nigeria.

10.22044/jhwe.2025.15615.1049

Abstract

Soil water infiltration is a critical process that affects soil water availability, crop growth, and environmental sustainability. This study aimed to model soil infiltration of soil water amended with cow dung and poultry litters’ organic matter using Design Expert 13.05.0 software. The organic matter mixing ratios percentages for the cow dung and the poultry litters are respectively, 100/0 for T2, 0/100 for T3, 75/25 for T4, 50/50 for T5, 25/75 for T6, and T1 for the bare soil, to make up a total of six strips. A double ring infiltrometer was used for the infiltration fieldwork experiment during the dry season and the raining season in Samaru, Zaria, Nigeria. The experimental fieldwork data was imported into Design Expert 13.05.0 software to analyze and model the soil water infiltration on the amended soil. The results of the study showed that 2FI (two factor interaction) model source described the interactions between the variables (time and depth) and the response (infiltration rate) during the dry season while the linear model source described the interaction during the raining season. Likewise, the optimal combination of cow dung and poultry litters that resulted in the highest R2 value for dry season as 0.8786 and for raining season as 0.8901 was 75% cow dung and 25% poultry litters for T4. Furthermore, the results of this study can be used to develop sustainable soil management practices that enhance soil infiltration and reduce soil erosion.

Keywords

Journal of Hydraulic and Water Engineering

Articles in Press, Accepted Manuscript
Available Online from 20 April 2025

Files

Share

How to cite

Statistics