Estimating infiltration parameters from basic soil properties

摘要: Infiltration data were collected on two rectangular grids with 25 sampling points each. Both experimental located in tropical rain forest (Guyana), the first an Arenosol area and second a Ferralsol field. Four different infiltration models evaluated based their performance describing data. The model parameters estimated using non-linear optimization techniques. behaviour was equally well described by equations of Philip, Green-Ampt, Kostiakov Horton. For Arenosol, Green-Ampt Horton significantly better than model. Basic soil properties such as textural composition (percentage sand, silt clay), organic carbon content, dry bulk density, porosity, initial water content root also determined for each point grids. fitted then other multiple regression. Prior to regression analysis, all predictor variables transformed normality. analysis performed information levels. level contained only three texture fractions (sand, clay) four (coarse, medium fine clay). At explained up 60% variability some field plot. kvel complete used (nine six Arenosol). principal components (PCA) prior overcome problem multicollinearity among variables. Regression carried out orthogonally independent Results show that relatively accurately (maximum R 2 = 0.76). use together PCA produced value ranging from 0.38 0.68. Ferralsol, most variance matter content. In plot, sand observed variance.