Wetting patterns estimation in cultivation substrates under drip irrigation

Abstract

a b s t r a c tTo make an accurate and reasonable estimate of the wetting pattern in cultivation substrates, 36 experimental treatments with two replications were conducted under drip irrigation. An empirical model was suggested to predict the substrate full wetting pattern at different application times for T 1 , T 2 , T 3 and T 4 . The maximum root mean square error and mean error were only 1.37 and 0.72 cm, and 1.22 and 0.71 cm for the wetted radius and depth of the full wetting pattern for T 1 , T 2 , T 3 and T 4 . The proposed model performs well in predicting the full wetting pattern and can be used to operate and manage the irrigation system.

Spatial and Temporal Variation of Soil Water Movement Modeling under Line Source Dripper

“…Schwartzman and Zur (1986) developed an empirical model to predict the wetted front under different operating time and different discharge rate. Liu and Xu (2018) estimated wetting pattern under different application time on substrate drip irrigation system. Al-Ogaidi et al, (2016) conducted laboratory experiment to determine the wetting depth and radius using empirical model.…”

An Automatic Irrigation Control System for Soilless Culture of Lettuce

“…where W is the wetted radius (cm), D is the wetted depth (cm), V is the irrigation volume (L), K s is the saturated hydraulic conductivity (cm/h), q is the emitter discharge (L/h), z is the depth of emitter insert into the substrate (cm), A 1 , A 2 are constants and n 1 , n 2 are exponents of equation. According to the experimental data, the whole wetted zone under substrate surface can be expressed as [25]:…”

Predicting the spatial distribution of water applied by subsurface drip in clay soil

“…Based on the Richards equation, complex models require numerical methods due to their nonlinear nature but have limitations as they require detailed information and high computational performance (Moncef & Khemaies, 2016). Analytical models are more practical due to simplifying assumptions (Liu & Xu, 2018;Moncef & Khemaies, 2016), and empirical models with field data are also used but can have limitations in different soils and by disregarding initial moisture conditions (Muñoz et al, 2022). So, researchers have used experiments in controlled environments and software such as SLIDE to obtain more accurate models (Rocscience Inc., 2010).…”