The study investigated the spatial variability of soil-water properties in a 150-hectare field, focusing on infiltration and redistribution of water following irrigation. Hydraulic conductivity was measured at various depths, and tensiometers were used to monitor hydraulic gradients. Soil-water content was determined from soil cores, revealing normal distribution with depth and horizontal distance, while hydraulic conductivity was log-normally distributed. The study evaluated the suitability of soil-water equations for predicting water movement and examined relationships between laboratory measurements and field conditions. The field was located in Fresno County, California, on an alluvial fan of Panoche soil series. Twenty 6.5-meter-square plots were established to study infiltration and redistribution. Tensiometers and soil cores were used to measure hydraulic conductivity, flux, and soil-water characteristics. The study found that hydraulic conductivity was significantly correlated with clay fraction, and that soil-water characteristics varied with depth and location. Laboratory methods included particle-size distribution, soil-bulk density, and soil-water characteristic curves. Field methods involved measuring storage, flux, and hydraulic conductivity. The study found that soil-water flux decreased with time and depth, and that hydraulic conductivity was sensitive to water content. The results showed that soil-water properties varied spatially, and that simplified methods could be used to estimate hydraulic conductivity and flux. The study also examined soil-water diffusivity, finding that it was less sensitive to water content than hydraulic conductivity. The results indicated that soil-water properties varied significantly across the field, and that simplified methods could be used to predict water movement and retention. The study concluded that the spatial variability of soil-water properties is important for accurate predictions of water movement and retention in agricultural fields.The study investigated the spatial variability of soil-water properties in a 150-hectare field, focusing on infiltration and redistribution of water following irrigation. Hydraulic conductivity was measured at various depths, and tensiometers were used to monitor hydraulic gradients. Soil-water content was determined from soil cores, revealing normal distribution with depth and horizontal distance, while hydraulic conductivity was log-normally distributed. The study evaluated the suitability of soil-water equations for predicting water movement and examined relationships between laboratory measurements and field conditions. The field was located in Fresno County, California, on an alluvial fan of Panoche soil series. Twenty 6.5-meter-square plots were established to study infiltration and redistribution. Tensiometers and soil cores were used to measure hydraulic conductivity, flux, and soil-water characteristics. The study found that hydraulic conductivity was significantly correlated with clay fraction, and that soil-water characteristics varied with depth and location. Laboratory methods included particle-size distribution, soil-bulk density, and soil-water characteristic curves. Field methods involved measuring storage, flux, and hydraulic conductivity. The study found that soil-water flux decreased with time and depth, and that hydraulic conductivity was sensitive to water content. The results showed that soil-water properties varied spatially, and that simplified methods could be used to estimate hydraulic conductivity and flux. The study also examined soil-water diffusivity, finding that it was less sensitive to water content than hydraulic conductivity. The results indicated that soil-water properties varied significantly across the field, and that simplified methods could be used to predict water movement and retention. The study concluded that the spatial variability of soil-water properties is important for accurate predictions of water movement and retention in agricultural fields.