Calculating the dynamics of soil water content (θ) near the surface and modeling soil water evaporation ( E s ) are critical for many agricultural management strategies. This study was performed to develop a model to simulate soil water redistribution during second‐stage evaporation (SSE). In this model, the daily change of θ was estimated from the difference between the initial θ (θ i ) and air‐dry θ (θ ad ), multiplied by a conductance coefficient ( C ). The C represents the fraction of the remaining soil water (θ i − θ ad ) that can be removed in 1 d during SSE and is a power function of soil depth. Testing the dependency of C and α (the slope of cumulative evaporation [ E c ] vs. square root of time [ t 1/2 ]) on soil characteristics was done using theoretical and laboratory data. Then the whole model was evaluated in laboratory and field conditions by measuring θ for different soils at different depths during SSE. Linear relationships with zero intercept were found between α and drained upper limit θ (θ dul ) with slope and r 2 = 1.19 and 0.69 and 1.39 and 0.95 for laboratory and theoretical data, respectively. Conductance coefficient and θ dul were correlated with r 2 > 0.9. Root mean square error (RMSE) between measured and estimated θ in the field was highest (0.014 cm 3 cm −3 ) at depths of 3 and 6 cm and lowest (0.005 cm 3 cm −3 ) at the 9‐cm depth. The model gave reasonable estimates of both water redistribution and E s during SSE and is expected to work well for soils for which the diffusivity theory holds.
No takes yet. Share an insight, caveat, or question.
Suleiman et al. (2003) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: