Estimation of Infiltration Models’ Parameters Using Regression Analysis in Irrigation Fields of Northern Ghana
Estimation of Infiltration Models’ Parameters Using Regression Analysis in Irrigation Fields of Northern Ghana作者机构：Department of Agricultural Mechanisation and Irrigation Technology Faculty of Agriculture Food and Consumer Sciences University for Development Studies Tamale Ghana West African Centre for Water Irrigation and Sustainable Agriculture University for Development Studies Tamale Ghana
出 版 物：《Open Journal of Soil Science》 (土壤科学期刊（英文）)
年 卷 期：2021年第11卷第3期
页 面：164-176页
学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学]
主 题：Parameter Infiltration Model Regression Sorptivity Transmissivity
摘 要：The quantification of soil infiltration is necessary for the estimation of water accessibility in soils for plant growth and development. Field infiltration tests runs were conducted on agricultural soils in three irrigation sites of Northern Ghana. The field data were fitted into Green and Ampt, Kostiakov, Philip, Holtan, Soil Conservation Service and Horton infiltration models for the determination of the unknown model parameters. Regression analysis at 95% confidence level using GraphPad Prism 8. Laboratory and field data on infiltration were used for the model fitting and the unknown parameters were determined using the calibrated models. The k and n parameters of Kostiakov model at Bontanga study site were found to be k = 28.0027 and n = 0.5902, k = 17.0294 and n = 0.4504 for Golinga and k = 23.0356 and n = 0.6339 for Libga. For all the models, the coefficient of determination ranged from 0.7612 to 0.9876 indicating strong relationships. Only Holtan model gave different values at all the three study sites. The parameter GIa and ic of the Holtan model drawn from hydrologic soil group were the same at all the study sites because of the same vegetative cover and surface conditions. The study observed the values of the parameters to have influenced the models’ performance.
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