Modelagem inversa de curvas de retenção de água em solos com diferentes usos e coberturas

Ana Flávia Cordeiro de Brito; Marcella Cardoso Teixeira; Lorene Alves de Oliveira; Adriana Magalhães Farias; Maria Ângela Cruz Macêdo dos Santos; Alisson Macendo Amaral

doi:10.5965/223811712432025603

Authors

Ana Flávia Cordeiro de Brito Federal Institute of Northern Minas Gerais, Arinos, MG, Brazil https://orcid.org/0009-0004-0534-8433
Marcella Cardoso Teixeira Federal Institute of Northern Minas Gerais, Arinos, MG, Brazil https://orcid.org/0009-0008-9061-313X
Lorene Alves de Oliveira Federal Institute of Northern Minas Gerais, Arinos, MG, Brazil https://orcid.org/0009-0003-4763-3905
Adriana Magalhães Farias Federal Institute of Northern Minas Gerais, Arinos, MG, Brazil https://orcid.org/0009-0002-6747-0560
Maria Ângela Cruz Macêdo dos Santos Minas Gerais Institute of Agriculture and Livestock, Buritis, MG, Brazil https://orcid.org/0000-0003-1418-7438
Alisson Macendo Amaral Federal Institute of Northern Minas Gerais, Arinos, MG, Brazil https://orcid.org/0000-0003-3035-2763

DOI:

https://doi.org/10.5965/223811712432025603

Keywords:

Hydrus 1D, soil properties, hydraulic flow

Abstract

The soil water retention curve (CRAS) is an important hydraulic property for understanding soil water dynamics and relevant for efficient irrigation management. Inverse modeling has been widely accepted to determine CRAS due to its efficiency, especially on a large scale. The objective of this study was to determine and compare soil water retention curves through inverse modeling, in a red latosol, Cerrado phase, under different uses and soil covers. The accuracy of the curves was also evaluated using statistical indicators. For this, preserved and non-preserved samples were collected in the study areas in order to determine the structural characteristics of the soils, the physical-hydric properties and the humidity and evaporation curves, necessary to provide the Hydrus-1D model used in computational modeling. The statistical indicators coefficient of determination, mean error, root mean square error, Akaike Information Criterion and Bayesian Information Criterion demonstrated effectiveness in the modeled water retention curves. The areas of degraded Cerrado and conventional cultivation presented retention curves with higher water retention rates, compared to the organic cultivation area, result of structural changes in the systems, such as distribution and uniformity of pores. It was observed that a higher organic matter content associated with the sandy texture, in the organic cultivation area, resulted in lower water retention at low tensions (~ 348.50 kPa) sufficient to drain the water content in this system.

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Inverse modeling of water retention curves in soils with different uses and coverings

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