Estimation of Infiltration Models’ Parameters Using Regression Analysis in Irrigation Fields of Northern Ghana  

作　　者：Abdallah Salifu Felix. K. Abagale Gordana Kranjac-Berisavljevic Abdallah Salifu;Felix. K. Abagale;Gordana Kranjac-Berisavljevic(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)

机构地区：[1]Department of Agricultural Mechanisation and Irrigation Technology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana [2]West African Centre for Water, Irrigation and Sustainable Agriculture, University for Development Studies, Tamale, Ghana

出　　处：《Open Journal of Soil Science》2021年第3期164-176,共13页土壤科学期刊（英文）

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 <i>k</i> and <i>n</i> parameters of Kostiakov model at Bontanga study site were found to be <i>k</i> = 28.0027 and <i>n</i> = 0.5902, <i>k</i> = 17.0294 and <i>n</i> = 0.4504 for Golinga and <i>k</i> = 23.0356 and <i>n</i> = 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 <i>GIa</i> and <i>i_c</i><i> </i>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.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 <i>k</i> and <i>n</i> parameters of Kostiakov model at Bontanga study site were found to be <i>k</i> = 28.0027 and <i>n</i> = 0.5902, <i>k</i> = 17.0294 and <i>n</i> = 0.4504 for Golinga and <i>k</i> = 23.0356 and <i>n</i> = 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 <i>GIa</i> and <i>i_c</i><i> </i>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.

关 键 词：PARAMETER Infiltration Model Regression SORPTIVITY TRANSMISSIVITY 

分 类 号：S15[农业科学—土壤学]