The use of numerical modelling to assess soil water dynamics in subsurface irrigation

ABSTRACT Knowledge of soil water dynamics is essential for establishing appropriate methods of irrigation management. Water dynamics in unsaturated soils is a complex process that can be explained by the Richards equation. As this is a non-linear differential equation, there is no analytical solutio...

Full description

Saved in:
Bibliographic Details
Published in:Ciência agronômica Vol. 54
Main Authors: Rocha, Mayara Oliveira, Teixeira, Adunias dos Santos, Silva Filho, Francisco das Chagas da, Gondim, Rubens Sonsol, Sousa, Alan Bernard Oliveira de
Format: Journal Article
Language:English
Published: Universidade Federal do Ceará 01-01-2023
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT Knowledge of soil water dynamics is essential for establishing appropriate methods of irrigation management. Water dynamics in unsaturated soils is a complex process that can be explained by the Richards equation. As this is a non-linear differential equation, there is no analytical solution, but requires the use of the finite element method, for example, to obtain solutions, where simulations using numerical modelling make it possible to predict the the flow of water from the soil. As such, the aim of this study was to evaluate a 2D numerical model in simulating water distribution and wet bulb formation resulting from a subsurface irrigation system, in addition to validating the generated model. The Pearson correlation coefficient (r), the coefficient of determination (R2) and the root-mean-square error (RMSE) were calculated. For each treatment, both during and after irrigation, the model showed a small relative error, high values for R2 and a positive correlation with the field data. It was concluded that the model is applicable to the design and management of subsurface irrigation systems, varying the installation depth of the drip tube, the spacing between emitters and the soil moisture, giving good results for the various simulated scenarios.
ISSN:1806-6690
1806-6690
DOI:10.5935/1806-6690.20230034